diff --git a/.copyright.hook b/.copyright.hook index 2446e27248..dc1b096a0a 100644 --- a/.copyright.hook +++ b/.copyright.hook @@ -49,10 +49,15 @@ def generate_copyright(template, lang='C'): LANG_COMMENT_MARK = "//" lines = template.split(NEW_LINE_MARK) - ans = LANG_COMMENT_MARK + " " + COPYRIGHT_HEADER + NEW_LINE_MARK + BLANK = " " + ans = LANG_COMMENT_MARK + BLANK + COPYRIGHT_HEADER + NEW_LINE_MARK for lino, line in enumerate(lines): if lino == 0 or lino == 1 or lino == len(lines) - 1: continue - ans += LANG_COMMENT_MARK + " " + line + NEW_LINE_MARK + if len(line) == 0: + BLANK = "" + else: + BLANK = " " + ans += LANG_COMMENT_MARK + BLANK + line + NEW_LINE_MARK return ans + "\n" @@ -62,6 +67,8 @@ def lang_type(filename): return "Python" elif filename.endswith(".h"): return "C" + elif filename.endswith(".c"): + return "C" elif filename.endswith(".hpp"): return "C" elif filename.endswith(".cc"): @@ -77,10 +84,13 @@ def lang_type(filename): elif filename.endswith(".proto"): return "C" else: - print("Unsupported filetype") + print("Unsupported filetype %s", filename) exit(0) +PYTHON_ENCODE = re.compile("^[ \t\v]*#.*?coding[:=][ \t]*([-_.a-zA-Z0-9]+)") + + def main(argv=None): parser = argparse.ArgumentParser( description='Checker for copyright declaration.') @@ -89,9 +99,14 @@ def main(argv=None): retv = 0 for filename in args.filenames: - first_line = io.open(filename).readline() - if "COPYRIGHT" in first_line.upper() : continue - original_contents = io.open(filename).read() + fd = io.open(filename, encoding="utf-8") + first_line = fd.readline() + second_line = fd.readline() + if "COPYRIGHT (C)" in first_line.upper(): continue + if first_line.startswith("#!") or PYTHON_ENCODE.match( + second_line) != None or PYTHON_ENCODE.match(first_line) != None: + continue + original_contents = io.open(filename, encoding="utf-8").read() new_contents = generate_copyright( COPYRIGHT, lang_type(filename)) + original_contents print('Auto Insert Copyright Header {}'.format(filename)) diff --git a/CMakeLists.txt b/CMakeLists.txt index 00996cb7ed..7c7eb260ae 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -31,9 +31,6 @@ if(NOT CMAKE_CROSSCOMPILING) endif(NOT CMAKE_CROSSCOMPILING) find_package(Git REQUIRED) find_package(Threads REQUIRED) -if(NOT ANDROID AND NOT IOS) - find_package(Boost QUIET) -endif() include(simd) @@ -55,6 +52,8 @@ option(WITH_COVERAGE "Compile PaddlePaddle with code coverage" OFF) option(COVERALLS_UPLOAD "Package code coverage data to coveralls" OFF) option(ON_TRAVIS "Exclude special unit test on Travis CI" OFF) option(WITH_C_API "Compile PaddlePaddle with C-API(Prediction)" OFF) +# TODO: Only compile PaddlePaddle fluid version by WITH_FLUID option. +option(WITH_FLUID "Compile PaddlePaddle fluid only(TODO)" ON) option(WITH_GOLANG "Compile PaddlePaddle with GOLANG" OFF) option(GLIDE_INSTALL "Download and install go dependencies " ON) option(USE_NNPACK "Compile PaddlePaddle with NNPACK library" OFF) @@ -107,6 +106,10 @@ if (WITH_C_API AND WITH_PYTHON) "different Python interpreter from compiling.") endif() +if (WITH_C_API) + set(WITH_FLUID OFF CACHE STRING "Disable install fluid when compile the C_API" FORCE) +endif() + if(MOBILE_INFERENCE) set(THIRD_PARTY_BUILD_TYPE MinSizeRel) else() @@ -134,6 +137,7 @@ include(external/openblas) # download, build, install openblas include(external/mkldnn) # download, build, install mkldnn include(external/swig) # download, build, install swig include(external/warpctc) # download, build, install warpctc +include(external/boost) # download, build, install boost include(external/any) # download libn::any include(external/eigen) # download eigen3 include(external/pybind11) # download pybind11 @@ -158,7 +162,6 @@ include_directories("${PADDLE_SOURCE_DIR}") include_directories("${PADDLE_SOURCE_DIR}/paddle/cuda/include") include_directories("${CMAKE_CURRENT_BINARY_DIR}/proto") include_directories("${CMAKE_CURRENT_BINARY_DIR}/go/pserver/client/c") -include_directories(${Boost_INCLUDE_DIRS}) set(EXTERNAL_LIBS ${GFLAGS_LIBRARIES} diff --git a/CODE_OF_CONDUCT_cn.md b/CODE_OF_CONDUCT_cn.md index c3a22f29cc..2be794f1f3 100644 --- a/CODE_OF_CONDUCT_cn.md +++ b/CODE_OF_CONDUCT_cn.md @@ -1,50 +1,50 @@ -# 貢獻者公約 +# 参与者公约 -## 我們的承諾 +## 我们的保证 -為了促進一個開放透明且受歡迎的環境，我們作為貢獻者和維護者保證，無論年齡、種族、民族、性別認同和表達、體型、殘疾、經驗水平、國籍、個人表現、宗教或性別取向，在我們的專案以及社群的參與者都有不被騷擾的體驗。 +为了促进一个开放透明且友好的环境，我们作为贡献者和维护者保证：无论年龄、种族、民族、性别认同和表达（方式）、体型、身体健全与否、经验水平、国籍、个人表现、宗教或性别取向，参与者在我们项目和社区中都免于骚扰。 -## 我們的準則 +## 我们的标准 -舉例來說有助於創造正面環境的行為包括： -* 使用歡迎和包容性語言 -* 尊重不同的觀點和經驗 -* 優雅地接受建設性批評 -* 關注在對於社群最好的事情上 -* 對其他社群成員的表現友善 +有助于创造正面环境的行为包括但不限于： +* 使用友好和包容性语言 +* 尊重不同的观点和经历 +* 耐心地接受建设性批评 +* 关注对社区最有利的事情 +* 友善对待其他社区成员 -舉例來說身為參與者不能接受的行為包括： -* 使用與性有關的言語或是圖像，以及不受歡迎的性騷擾 -* 酸民/反串/釣魚行為或進行侮辱/貶損的評論，人身攻擊及政治攻擊 -* 公開或私下的騷擾 -* 未經許可地發布他人的個人資料，例如住址或是電子地址 -* 其他可以被合理地認定為不恰當或者違反職業操守的行為 +身为参与者不能接受的行为包括但不限于： +* 使用与性有关的言语或是图像，以及不受欢迎的性骚扰 +* 捣乱/煽动/造谣的行为或进行侮辱/贬损的评论，人身攻击及政治攻击 +* 公开或私下的骚扰 +* 未经许可地发布他人的个人资料，例如住址或是电子地址 +* 其他可以被合理地认定为不恰当或者违反职业操守的行为 -## 我們的責任 +## 我们的责任 -專案維護者有責任為"可接受的行為"準則做出詮釋，以及對已發生的不被接受的行為採取恰當且公平的糾正措施。 +项目维护者有责任为「可接受的行为」标准做出诠释，以及对已发生的不被接受的行为采取恰当且公平的纠正措施。 -專案維護者有權力及責任去刪除、編輯、拒絕與本行為準則有所違背的評論(comments)、提交(commits)、程式碼、wiki 編輯、問題(issues)和其他貢獻，以及專案維護者可暫時或永久性的禁止任何他們認為有不適當、威脅、冒犯、有害行為的貢獻者。 +项目维护者有权利及责任去删除、编辑、拒绝与本行为标准有所违背的评论(comments)、提交(commits)、代码、wiki 编辑、问题(issues)和其他贡献，以及项目维护者可暂时或永久性的禁止任何他们认为有不适当、威胁、冒犯、有害行为的贡献者。 -## 使用範圍 +## 使用范围 -當一個人代表該專案或是其社群時，本行為準則適用於其專案平台和公共平台。 +当一个人代表该项目或是其社区时，本行为标准适用于其项目平台和公共平台。 -代表專案或是社群的情況，舉例來說包括使用官方專案的電子郵件地址、通過官方的社群媒體帳號發布或線上或線下事件中擔任指定代表。 +代表项目或是社区的情况，举例来说包括使用官方项目的电子邮件地址、通过官方的社区媒体账号发布或线上或线下事件中担任指定代表。 -該專案的呈現方式可由其專案維護者進行進一步的定義及解釋。 +该项目的呈现方式可由其项目维护者进行进一步的定义及解释。 -## 強制執行 +## 强制执行 -可以透過paddle-dev@baidu.com，來聯繫專案團隊來報告濫用、騷擾或其他不被接受的行為。 +可以通过paddle-dev@baidu.com，来联系项目团队来举报滥用、骚扰或其他不被接受的行为。 -任何維護團隊認為有必要且適合的所有投訴都將進行審查及調查，並做出相對應的回應。專案小組有對事件回報者有保密的義務。具體執行的方針近一步細節可能會單獨公佈。 +任何维护团队认为有必要且适合的所有投诉都将进行审查及调查，并做出相对应的回应。项目小组有对事件回报者有保密的义务。具体执行的方针近一步细节可能会单独公布。 -沒有真誠的遵守或是執行本行為準則的專案維護人員，可能會因專案領導人或是其他成員的決定，暫時或是永久的取消其身份。 +没有切实地遵守或是执行本行为标准的项目维护人员，可能会因项目领导人或是其他成员的决定，暂时或是永久地取消其参与资格。 -## 來源 +## 来源 -本行為準則改編自[貢獻者公約][首頁]，版本 1.4 -可在此觀看https://www.contributor-covenant.org/zh-tw/version/1/4/code-of-conduct.html +本行为标准改编自[贡献者公约][主页]，版本 1.4 +可在此观看https://www.contributor-covenant.org/zh-cn/version/1/4/code-of-conduct.html -[首頁]: https://www.contributor-covenant.org +[主页]: https://www.contributor-covenant.org diff --git a/Dockerfile b/Dockerfile index 857d3f3e5f..6ac9901ac6 100644 --- a/Dockerfile +++ b/Dockerfile @@ -27,7 +27,7 @@ RUN apt-get update && \ curl sed grep graphviz libjpeg-dev zlib1g-dev \ python-matplotlib gcc-4.8 g++-4.8 \ automake locales clang-format swig doxygen cmake \ - liblapack-dev liblapacke-dev libboost-dev \ + liblapack-dev liblapacke-dev \ clang-3.8 llvm-3.8 libclang-3.8-dev \ net-tools libtool && \ apt-get clean -y diff --git a/adversarial/README.md b/adversarial/README.md deleted file mode 100644 index 51da21918a..0000000000 --- a/adversarial/README.md +++ /dev/null @@ -1,9 +0,0 @@ -# Advbox - -Advbox is a Python toolbox to create adversarial examples that fool neural networks. It requires Python and paddle. - -## How to use - -1. train a model and save it's parameters. (like fluid_mnist.py) -2. load the parameters which is trained in step1, then reconstruct the model.(like mnist_tutorial_fgsm.py) -3. use advbox to generate the adversarial sample. diff --git a/adversarial/advbox/__init__.py b/adversarial/advbox/__init__.py deleted file mode 100644 index f56f14f18d..0000000000 --- a/adversarial/advbox/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ -# Copyright (c) 2017 PaddlePaddle Authors. All Rights Reserved -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" - A set of tools for generating adversarial example on paddle platform -""" diff --git a/adversarial/advbox/attacks/base.py b/adversarial/advbox/attacks/base.py deleted file mode 100644 index 000baa48f6..0000000000 --- a/adversarial/advbox/attacks/base.py +++ /dev/null @@ -1,52 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. -""" -The base model of the model. -""" -from abc import ABCMeta, abstractmethod - - -class Attack(object): - """ - Abstract base class for adversarial attacks. `Attack` represent an adversarial attack - which search an adversarial example. subclass should implement the _apply() method. - - Args: - model(Model): an instance of the class advbox.base.Model. - - """ - __metaclass__ = ABCMeta - - def __init__(self, model): - self.model = model - - def __call__(self, image_label): - """ - Generate the adversarial sample. - - Args: - image_label(list): The image and label tuple list with one element. - """ - adv_img = self._apply(image_label) - return adv_img - - @abstractmethod - def _apply(self, image_label): - """ - Search an adversarial example. - - Args: - image_batch(list): The image and label tuple list with one element. - """ - raise NotImplementedError diff --git a/adversarial/advbox/attacks/gradientsign.py b/adversarial/advbox/attacks/gradientsign.py deleted file mode 100644 index cc26ffb690..0000000000 --- a/adversarial/advbox/attacks/gradientsign.py +++ /dev/null @@ -1,87 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. -""" -This module provide the attack method for FGSM's implement. -""" -from __future__ import division -import numpy as np -from collections import Iterable -from .base import Attack - - -class GradientSignAttack(Attack): - """ - This attack was originally implemented by Goodfellow et al. (2015) with the - infinity norm (and is known as the "Fast Gradient Sign Method"). This is therefore called - the Fast Gradient Method. - Paper link: https://arxiv.org/abs/1412.6572 - """ - - def _apply(self, image_label, epsilons=1000): - assert len(image_label) == 1 - pre_label = np.argmax(self.model.predict(image_label)) - - min_, max_ = self.model.bounds() - gradient = self.model.gradient(image_label) - gradient_sign = np.sign(gradient) * (max_ - min_) - - if not isinstance(epsilons, Iterable): - epsilons = np.linspace(0, 1, num=epsilons + 1) - - for epsilon in epsilons: - adv_img = image_label[0][0].reshape( - gradient_sign.shape) + epsilon * gradient_sign - adv_img = np.clip(adv_img, min_, max_) - adv_label = np.argmax(self.model.predict([(adv_img, 0)])) - if pre_label != adv_label: - return adv_img - - -FGSM = GradientSignAttack - - -class IteratorGradientSignAttack(Attack): - """ - This attack was originally implemented by Alexey Kurakin(Google Brain). - Paper link: https://arxiv.org/pdf/1607.02533.pdf - """ - - def _apply(self, image_label, epsilons=100, steps=10): - """ - Apply the iterative gradient sign attack. - Args: - image_label(list): The image and label tuple list of one element. - epsilons(list|tuple|int): The epsilon (input variation parameter). - steps(int): The number of iterator steps. - Return: - numpy.ndarray: The adversarail sample generated by the algorithm. - """ - assert len(image_label) == 1 - pre_label = np.argmax(self.model.predict(image_label)) - gradient = self.model.gradient(image_label) - min_, max_ = self.model.bounds() - - if not isinstance(epsilons, Iterable): - epsilons = np.linspace(0, 1, num=epsilons + 1) - - for epsilon in epsilons: - adv_img = image_label[0][0].reshape(gradient.shape) - for _ in range(steps): - gradient = self.model.gradient([(adv_img, image_label[0][1])]) - gradient_sign = np.sign(gradient) * (max_ - min_) - adv_img = adv_img + epsilon * gradient_sign - adv_img = np.clip(adv_img, min_, max_) - adv_label = np.argmax(self.model.predict([(adv_img, 0)])) - if pre_label != adv_label: - return adv_img diff --git a/adversarial/advbox/models/__init__.py b/adversarial/advbox/models/__init__.py deleted file mode 100644 index eee0f6efd4..0000000000 --- a/adversarial/advbox/models/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ -# Copyright (c) 2017 PaddlePaddle Authors. All Rights Reserved -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. -""" -Paddle model for target of attack -""" diff --git a/adversarial/advbox/models/base.py b/adversarial/advbox/models/base.py deleted file mode 100644 index 084e563f7b..0000000000 --- a/adversarial/advbox/models/base.py +++ /dev/null @@ -1,103 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. -""" -The base model of the model. -""" -from abc import ABCMeta -import abc - -abstractmethod = abc.abstractmethod - - -class Model(object): - """ - Base class of model to provide attack. - - - Args: - bounds(tuple): The lower and upper bound for the image pixel. - channel_axis(int): The index of the axis that represents the color channel. - preprocess(tuple): Two element tuple used to preprocess the input. First - substract the first element, then divide the second element. - """ - __metaclass__ = ABCMeta - - def __init__(self, bounds, channel_axis, preprocess=None): - assert len(bounds) == 2 - assert channel_axis in [0, 1, 2, 3] - - if preprocess is None: - preprocess = (0, 1) - self._bounds = bounds - self._channel_axis = channel_axis - self._preprocess = preprocess - - def bounds(self): - """ - Return the upper and lower bounds of the model. - """ - return self._bounds - - def channel_axis(self): - """ - Return the channel axis of the model. - """ - return self._channel_axis - - def _process_input(self, input_): - res = input_ - sub, div = self._preprocess - if sub != 0: - res = input_ - sub - assert div != 0 - if div != 1: - res /= div - return res - - @abstractmethod - def predict(self, image_batch): - """ - Calculate the prediction of the image batch. - - Args: - image_batch(numpy.ndarray): image batch of shape (batch_size, height, width, channels). - - Return: - numpy.ndarray: predictions of the images with shape (batch_size, num_of_classes). - """ - raise NotImplementedError - - @abstractmethod - def num_classes(self): - """ - Determine the number of the classes - - Return: - int: the number of the classes - """ - raise NotImplementedError - - @abstractmethod - def gradient(self, image_batch): - """ - Calculate the gradient of the cross-entropy loss w.r.t the image. - - Args: - image_batch(list): The image and label tuple list. - - Return: - numpy.ndarray: gradient of the cross-entropy loss w.r.t the image with - the shape (height, width, channel). - """ - raise NotImplementedError diff --git a/adversarial/advbox/models/paddle.py b/adversarial/advbox/models/paddle.py deleted file mode 100644 index 4048b47f89..0000000000 --- a/adversarial/advbox/models/paddle.py +++ /dev/null @@ -1,114 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. -from __future__ import absolute_import - -import numpy as np -import paddle.v2 as paddle -import paddle.v2.fluid as fluid -from paddle.v2.fluid.framework import program_guard - -from .base import Model - - -class PaddleModel(Model): - """ - Create a PaddleModel instance. - When you need to generate a adversarial sample, you should construct an instance of PaddleModel. - - Args: - program(paddle.v2.fluid.framework.Program): The program of the model which generate the adversarial sample. - input_name(string): The name of the input. - logits_name(string): The name of the logits. - predict_name(string): The name of the predict. - cost_name(string): The name of the loss in the program. - """ - - def __init__(self, - program, - input_name, - logits_name, - predict_name, - cost_name, - bounds, - channel_axis=3, - preprocess=None): - super(PaddleModel, self).__init__( - bounds=bounds, channel_axis=channel_axis, preprocess=preprocess) - - if preprocess is None: - preprocess = (0, 1) - - self._program = program - self._place = fluid.CPUPlace() - self._exe = fluid.Executor(self._place) - - self._input_name = input_name - self._logits_name = logits_name - self._predict_name = predict_name - self._cost_name = cost_name - - # gradient - loss = self._program.block(0).var(self._cost_name) - param_grads = fluid.backward.append_backward( - loss, parameter_list=[self._input_name]) - self._gradient = dict(param_grads)[self._input_name] - - def predict(self, image_batch): - """ - Predict the label of the image_batch. - - Args: - image_batch(list): The image and label tuple list. - Return: - numpy.ndarray: predictions of the images with shape (batch_size, num_of_classes). - """ - feeder = fluid.DataFeeder( - feed_list=[self._input_name, self._logits_name], - place=self._place, - program=self._program) - predict_var = self._program.block(0).var(self._predict_name) - predict = self._exe.run(self._program, - feed=feeder.feed(image_batch), - fetch_list=[predict_var]) - return predict - - def num_classes(self): - """ - Calculate the number of classes of the output label. - - Return: - int: the number of classes - """ - predict_var = self._program.block(0).var(self._predict_name) - assert len(predict_var.shape) == 2 - return predict_var.shape[1] - - def gradient(self, image_batch): - """ - Calculate the gradient of the loss w.r.t the input. - - Args: - image_batch(list): The image and label tuple list. - Return: - list: The list of the gradient of the image. - """ - feeder = fluid.DataFeeder( - feed_list=[self._input_name, self._logits_name], - place=self._place, - program=self._program) - - grad, = self._exe.run(self._program, - feed=feeder.feed(image_batch), - fetch_list=[self._gradient]) - return grad diff --git a/adversarial/fluid_mnist.py b/adversarial/fluid_mnist.py deleted file mode 100644 index f8c7fe8d0e..0000000000 --- a/adversarial/fluid_mnist.py +++ /dev/null @@ -1,99 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. -""" -CNN on mnist data using fluid api of paddlepaddle -""" -import paddle.v2 as paddle -import paddle.v2.fluid as fluid - - -def mnist_cnn_model(img): - """ - Mnist cnn model - - Args: - img(Varaible): the input image to be recognized - - Returns: - Variable: the label prediction - """ - conv_pool_1 = fluid.nets.simple_img_conv_pool( - input=img, - num_filters=20, - filter_size=5, - pool_size=2, - pool_stride=2, - act='relu') - - conv_pool_2 = fluid.nets.simple_img_conv_pool( - input=conv_pool_1, - num_filters=50, - filter_size=5, - pool_size=2, - pool_stride=2, - act='relu') - - logits = fluid.layers.fc(input=conv_pool_2, size=10, act='softmax') - return logits - - -def main(): - """ - Train the cnn model on mnist datasets - """ - img = fluid.layers.data(name='img', shape=[1, 28, 28], dtype='float32') - label = fluid.layers.data(name='label', shape=[1], dtype='int64') - logits = mnist_cnn_model(img) - cost = fluid.layers.cross_entropy(input=logits, label=label) - avg_cost = fluid.layers.mean(x=cost) - optimizer = fluid.optimizer.Adam(learning_rate=0.01) - optimizer.minimize(avg_cost) - - accuracy = fluid.evaluator.Accuracy(input=logits, label=label) - - BATCH_SIZE = 50 - PASS_NUM = 3 - ACC_THRESHOLD = 0.98 - LOSS_THRESHOLD = 10.0 - train_reader = paddle.batch( - paddle.reader.shuffle( - paddle.dataset.mnist.train(), buf_size=500), - batch_size=BATCH_SIZE) - - place = fluid.CPUPlace() - exe = fluid.Executor(place) - feeder = fluid.DataFeeder(feed_list=[img, label], place=place) - exe.run(fluid.default_startup_program()) - - for pass_id in range(PASS_NUM): - accuracy.reset(exe) - for data in train_reader(): - loss, acc = exe.run(fluid.default_main_program(), - feed=feeder.feed(data), - fetch_list=[avg_cost] + accuracy.metrics) - pass_acc = accuracy.eval(exe) - print("pass_id=" + str(pass_id) + " acc=" + str(acc) + " pass_acc=" - + str(pass_acc)) - if loss < LOSS_THRESHOLD and pass_acc > ACC_THRESHOLD: - break - - pass_acc = accuracy.eval(exe) - print("pass_id=" + str(pass_id) + " pass_acc=" + str(pass_acc)) - fluid.io.save_params( - exe, dirname='./mnist', main_program=fluid.default_main_program()) - print('train mnist done') - - -if __name__ == '__main__': - main() diff --git a/adversarial/mnist_tutorial_fgsm.py b/adversarial/mnist_tutorial_fgsm.py deleted file mode 100644 index c63e030cd8..0000000000 --- a/adversarial/mnist_tutorial_fgsm.py +++ /dev/null @@ -1,100 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. -""" -FGSM demos on mnist using advbox tool. -""" -import paddle.v2 as paddle -import paddle.v2.fluid as fluid -import matplotlib.pyplot as plt -import numpy as np - -from advbox.models.paddle import PaddleModel -from advbox.attacks.gradientsign import GradientSignAttack - - -def cnn_model(img): - """ - Mnist cnn model - Args: - img(Varaible): the input image to be recognized - Returns: - Variable: the label prediction - """ - #conv1 = fluid.nets.conv2d() - conv_pool_1 = fluid.nets.simple_img_conv_pool( - input=img, - num_filters=20, - filter_size=5, - pool_size=2, - pool_stride=2, - act='relu') - - conv_pool_2 = fluid.nets.simple_img_conv_pool( - input=conv_pool_1, - num_filters=50, - filter_size=5, - pool_size=2, - pool_stride=2, - act='relu') - - logits = fluid.layers.fc(input=conv_pool_2, size=10, act='softmax') - return logits - - -def main(): - """ - Advbox demo which demonstrate how to use advbox. - """ - IMG_NAME = 'img' - LABEL_NAME = 'label' - - img = fluid.layers.data(name=IMG_NAME, shape=[1, 28, 28], dtype='float32') - # gradient should flow - img.stop_gradient = False - label = fluid.layers.data(name=LABEL_NAME, shape=[1], dtype='int64') - logits = cnn_model(img) - cost = fluid.layers.cross_entropy(input=logits, label=label) - avg_cost = fluid.layers.mean(x=cost) - - place = fluid.CPUPlace() - exe = fluid.Executor(place) - - BATCH_SIZE = 1 - train_reader = paddle.batch( - paddle.reader.shuffle( - paddle.dataset.mnist.train(), buf_size=500), - batch_size=BATCH_SIZE) - feeder = fluid.DataFeeder( - feed_list=[IMG_NAME, LABEL_NAME], - place=place, - program=fluid.default_main_program()) - - fluid.io.load_params( - exe, "./mnist/", main_program=fluid.default_main_program()) - - # advbox demo - m = PaddleModel(fluid.default_main_program(), IMG_NAME, LABEL_NAME, - logits.name, avg_cost.name, (-1, 1)) - att = GradientSignAttack(m) - for data in train_reader(): - # fgsm attack - adv_img = att(data) - plt.imshow(n[0][0], cmap='Greys_r') - plt.show() - #np.save('adv_img', adv_img) - break - - -if __name__ == '__main__': - main() diff --git a/benchmark/paddle/image/alexnet.py b/benchmark/paddle/image/alexnet.py index 07f478d8fa..7029608187 100644 --- a/benchmark/paddle/image/alexnet.py +++ b/benchmark/paddle/image/alexnet.py @@ -1,17 +1,16 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. -#!/usr/bin/env python +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. from paddle.trainer_config_helpers import * diff --git a/benchmark/paddle/image/googlenet.py b/benchmark/paddle/image/googlenet.py index 3241be9c5f..2a850ccb7f 100644 --- a/benchmark/paddle/image/googlenet.py +++ b/benchmark/paddle/image/googlenet.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/env python from paddle.trainer_config_helpers import * diff --git a/benchmark/paddle/image/provider.py b/benchmark/paddle/image/provider.py index 220c4bee35..21e0d381aa 100644 --- a/benchmark/paddle/image/provider.py +++ b/benchmark/paddle/image/provider.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import io, os import random import numpy as np diff --git a/benchmark/paddle/image/resnet.py b/benchmark/paddle/image/resnet.py index acc6d31d4b..2846e4763f 100644 --- a/benchmark/paddle/image/resnet.py +++ b/benchmark/paddle/image/resnet.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/env python from paddle.trainer_config_helpers import * diff --git a/benchmark/paddle/image/smallnet_mnist_cifar.py b/benchmark/paddle/image/smallnet_mnist_cifar.py index 64a5da3220..58879c454f 100644 --- a/benchmark/paddle/image/smallnet_mnist_cifar.py +++ b/benchmark/paddle/image/smallnet_mnist_cifar.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/env python from paddle.trainer_config_helpers import * diff --git a/benchmark/paddle/image/vgg.py b/benchmark/paddle/image/vgg.py index a357207a62..ca0a6798fb 100644 --- a/benchmark/paddle/image/vgg.py +++ b/benchmark/paddle/image/vgg.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/env python from paddle.trainer_config_helpers import * diff --git a/benchmark/paddle/rnn/imdb.py b/benchmark/paddle/rnn/imdb.py index fc4ed4025f..c3b5faa19a 100755 --- a/benchmark/paddle/rnn/imdb.py +++ b/benchmark/paddle/rnn/imdb.py @@ -1,3 +1,17 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function import six.moves.cPickle as pickle import gzip diff --git a/benchmark/paddle/rnn/provider.py b/benchmark/paddle/rnn/provider.py index c03df3a002..f35cd5b079 100644 --- a/benchmark/paddle/rnn/provider.py +++ b/benchmark/paddle/rnn/provider.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import io, os import random import numpy as np diff --git a/benchmark/paddle/rnn/rnn.py b/benchmark/paddle/rnn/rnn.py index 97005f2c35..83eb3e5654 100755 --- a/benchmark/paddle/rnn/rnn.py +++ b/benchmark/paddle/rnn/rnn.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/env python from paddle.trainer_config_helpers import * diff --git a/benchmark/tensorflow/image/alexnet.py b/benchmark/tensorflow/image/alexnet.py index edf462e6a1..a37d7e7c62 100644 --- a/benchmark/tensorflow/image/alexnet.py +++ b/benchmark/tensorflow/image/alexnet.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from six.moves import xrange # pylint: disable=redefined-builtin from datetime import datetime import math diff --git a/benchmark/tensorflow/image/alexnet_multi_gpu.py b/benchmark/tensorflow/image/alexnet_multi_gpu.py index 90b8f16bca..2ebab8fb60 100644 --- a/benchmark/tensorflow/image/alexnet_multi_gpu.py +++ b/benchmark/tensorflow/image/alexnet_multi_gpu.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from six.moves import xrange # pylint: disable=redefined-builtin from datetime import datetime import math diff --git a/benchmark/tensorflow/image/googlenet.py b/benchmark/tensorflow/image/googlenet.py index 55431eceb3..1202cbb171 100644 --- a/benchmark/tensorflow/image/googlenet.py +++ b/benchmark/tensorflow/image/googlenet.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from six.moves import xrange from datetime import datetime import math diff --git a/benchmark/tensorflow/image/googlenet_multi_gpu.py b/benchmark/tensorflow/image/googlenet_multi_gpu.py index 44de3800a8..f06437eb6c 100644 --- a/benchmark/tensorflow/image/googlenet_multi_gpu.py +++ b/benchmark/tensorflow/image/googlenet_multi_gpu.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from six.moves import xrange # pylint: disable=redefined-builtin from datetime import datetime import math diff --git a/benchmark/tensorflow/image/smallnet_mnist_cifar.py b/benchmark/tensorflow/image/smallnet_mnist_cifar.py index 0858b5f9c9..558c68575f 100644 --- a/benchmark/tensorflow/image/smallnet_mnist_cifar.py +++ b/benchmark/tensorflow/image/smallnet_mnist_cifar.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from six.moves import xrange # pylint: disable=redefined-builtin from datetime import datetime import math diff --git a/benchmark/tensorflow/rnn/reader.py b/benchmark/tensorflow/rnn/reader.py index 710940c9ae..9660d3c22b 100755 --- a/benchmark/tensorflow/rnn/reader.py +++ b/benchmark/tensorflow/rnn/reader.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import os.path import io import numpy as np diff --git a/benchmark/tensorflow/rnn/rnn.py b/benchmark/tensorflow/rnn/rnn.py index 507481b9cc..f288083e13 100755 --- a/benchmark/tensorflow/rnn/rnn.py +++ b/benchmark/tensorflow/rnn/rnn.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/env python from six.moves import xrange # pylint: disable=redefined-builtin import math diff --git a/benchmark/tensorflow/rnn/rnn_multi_gpu.py b/benchmark/tensorflow/rnn/rnn_multi_gpu.py index f24cbaef62..eabee4fa8f 100755 --- a/benchmark/tensorflow/rnn/rnn_multi_gpu.py +++ b/benchmark/tensorflow/rnn/rnn_multi_gpu.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/env python from six.moves import xrange # pylint: disable=redefined-builtin import re diff --git a/cmake/external/boost.cmake b/cmake/external/boost.cmake new file mode 100644 index 0000000000..137f11da7f --- /dev/null +++ b/cmake/external/boost.cmake @@ -0,0 +1,51 @@ +# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +include(ExternalProject) + +set(BOOST_PROJECT "extern_boost") +set(BOOST_VER "1.66.0") +set(BOOST_TAR "boost_1_66_0") +set(BOOST_URL "https://dl.bintray.com/boostorg/release/${BOOST_VER}/source/${BOOST_TAR}.tar.gz") +set(BOOST_SOURCES_DIR ${THIRD_PARTY_PATH}/boost) +set(BOOST_DOWNLOAD_DIR "${BOOST_SOURCES_DIR}/src/${BOOST_PROJECT}") +set(BOOST_INCLUDE_DIR "${BOOST_DOWNLOAD_DIR}/${BOOST_TAR}" CACHE PATH "boost include directory." FORCE) + +include_directories(${BOOST_INCLUDE_DIR}) + +ExternalProject_Add( + ${BOOST_PROJECT} + ${EXTERNAL_PROJECT_LOG_ARGS} + DOWNLOAD_DIR ${BOOST_DOWNLOAD_DIR} + DOWNLOAD_COMMAND wget --no-check-certificate ${BOOST_URL} -c -q -O ${BOOST_TAR}.tar.gz + && tar zxf ${BOOST_TAR}.tar.gz + DOWNLOAD_NO_PROGRESS 1 + PREFIX ${BOOST_SOURCES_DIR} + CONFIGURE_COMMAND "" + BUILD_COMMAND "" + INSTALL_COMMAND "" + UPDATE_COMMAND "" +) + +if (${CMAKE_VERSION} VERSION_LESS "3.3.0") + set(dummyfile ${CMAKE_CURRENT_BINARY_DIR}/boost_dummy.c) + file(WRITE ${dummyfile} "const char *dummy = \"${dummyfile}\";") + add_library(boost STATIC ${dummyfile}) +else() + add_library(boost INTERFACE) +endif() + +add_dependencies(boost ${BOOST_PROJECT}) +list(APPEND external_project_dependencies boost) +set(Boost_INCLUDE_DIR ${BOOST_INCLUDE_DIR}) diff --git a/cmake/external/eigen.cmake b/cmake/external/eigen.cmake index c4712f19eb..d49c8d6011 100644 --- a/cmake/external/eigen.cmake +++ b/cmake/external/eigen.cmake @@ -1,8 +1,8 @@ INCLUDE(ExternalProject) SET(EIGEN_SOURCE_DIR ${THIRD_PARTY_PATH}/eigen3) - -INCLUDE_DIRECTORIES(${EIGEN_SOURCE_DIR}/src/extern_eigen3) +SET(EIGEN_INCLUDE_DIR ${EIGEN_SOURCE_DIR}/src/extern_eigen3) +INCLUDE_DIRECTORIES(${EIGEN_INCLUDE_DIR}) ExternalProject_Add( extern_eigen3 @@ -28,3 +28,9 @@ endif() add_dependencies(eigen3 extern_eigen3) LIST(APPEND external_project_dependencies eigen3) + +IF(NOT WITH_C_API AND WITH_FLUID) + INSTALL(FILES ${EIGEN_INCLUDE_DIR}/Eigen/Core DESTINATION third_party/eigen3/Eigen) + INSTALL(DIRECTORY ${EIGEN_INCLUDE_DIR}/Eigen/src DESTINATION third_party/eigen3/Eigen) + INSTALL(DIRECTORY ${EIGEN_INCLUDE_DIR}/unsupported/Eigen DESTINATION third_party/eigen3/unsupported) +ENDIF() diff --git a/cmake/external/gflags.cmake b/cmake/external/gflags.cmake index d4f252bb9f..6094630454 100644 --- a/cmake/external/gflags.cmake +++ b/cmake/external/gflags.cmake @@ -52,7 +52,7 @@ ADD_DEPENDENCIES(gflags extern_gflags) LIST(APPEND external_project_dependencies gflags) -IF(WITH_C_API) +IF(WITH_C_API OR WITH_FLUID) INSTALL(DIRECTORY ${GFLAGS_INCLUDE_DIR} DESTINATION third_party/gflags) IF(ANDROID) INSTALL(FILES ${GFLAGS_LIBRARIES} DESTINATION third_party/gflags/lib/${ANDROID_ABI}) diff --git a/cmake/external/glog.cmake b/cmake/external/glog.cmake index 0c6b3aafcb..382fbda3b5 100644 --- a/cmake/external/glog.cmake +++ b/cmake/external/glog.cmake @@ -68,7 +68,7 @@ LINK_LIBRARIES(glog gflags) LIST(APPEND external_project_dependencies glog) -IF(WITH_C_API) +IF(WITH_C_API OR WITH_FLUID) INSTALL(DIRECTORY ${GLOG_INCLUDE_DIR} DESTINATION third_party/glog) IF(ANDROID) INSTALL(FILES ${GLOG_LIBRARIES} DESTINATION third_party/glog/lib/${ANDROID_ABI}) diff --git a/cmake/external/openblas.cmake b/cmake/external/openblas.cmake index 0e79c0cc79..4012a164be 100644 --- a/cmake/external/openblas.cmake +++ b/cmake/external/openblas.cmake @@ -100,6 +100,11 @@ IF(NOT ${CBLAS_FOUND}) \"${CBLAS_INSTALL_DIR}/lib -> ${CMAKE_INSTALL_PREFIX}/${TMP_INSTALL_DIR}\" )" ) + INSTALL(CODE "execute_process( + COMMAND rm -r ${CMAKE_INSTALL_PREFIX}/${TMP_INSTALL_DIR}/cmake + ${CMAKE_INSTALL_PREFIX}/${TMP_INSTALL_DIR}/pkgconfig + )" + ) ENDIF() ENDIF(NOT ${CBLAS_FOUND}) diff --git a/cmake/external/protobuf.cmake b/cmake/external/protobuf.cmake index ff5855052d..365a370a9c 100644 --- a/cmake/external/protobuf.cmake +++ b/cmake/external/protobuf.cmake @@ -250,7 +250,7 @@ IF(NOT PROTOBUF_FOUND) SET(PROTOBUF_PROTOC_LIBRARY ${extern_protobuf_PROTOC_LIBRARY} CACHE FILEPATH "protoc library." FORCE) - IF(WITH_C_API) + IF(WITH_C_API OR WITH_FLUID) INSTALL(DIRECTORY ${PROTOBUF_INCLUDE_DIR} DESTINATION third_party/protobuf) IF(ANDROID) INSTALL(FILES ${PROTOBUF_LITE_LIBRARY} DESTINATION third_party/protobuf/lib/${ANDROID_ABI}) diff --git a/cmake/make_resource.py b/cmake/make_resource.py index d71e82eca2..4f9f5546b9 100644 --- a/cmake/make_resource.py +++ b/cmake/make_resource.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import os import re import sys diff --git a/doc/api/v1/data_provider/dataprovider_cn.rst b/doc/api/v1/data_provider/dataprovider_cn.rst deleted file mode 100644 index d08c6b3efa..0000000000 --- a/doc/api/v1/data_provider/dataprovider_cn.rst +++ /dev/null @@ -1,15 +0,0 @@ -.. _api_dataprovider: - -DataProvider的介绍 -================== - -DataProvider是PaddlePaddle负责提供数据的模块。其作用是将数据传入内存或显存，让神经网络可以进行训练或预测。用户可以通过简单使用Python接口 :ref:`api_pydataprovider2` ，来自定义传数据的过程。如果有更复杂的使用，或者需要更高的效率，用户也可以在C++端自定义一个 ``DataProvider`` 。 - -PaddlePaddle需要用户在网络配置（trainer_config.py）中定义使用哪种DataProvider，并且在DataProvider中实现如何访问训练文件列表（train.list）或测试文件列表（test.list）。 - -- train.list和test.list存放在本地（推荐直接存放到训练目录，以相对路径引用)。一般情况下，两者均为纯文本文件，其中每一行对应一个数据文件地址： - - - 如果数据文件存于本地磁盘，这个地址则为它的绝对路径或相对路径(相对于PaddlePaddle程序运行时的路径)。 - - 地址也可以为hdfs文件路径，或者数据库连接路径等。 - - 由于这个地址会被DataProvider使用，因此，如何解析该地址也是用户自定义DataProvider时需要考虑的地方。 -- 如果没有设置test.list，或设置为None，那么在训练过程中不会执行测试操作；否则，会根据命令行参数指定的测试方式，在训练过程中进行测试，从而防止过拟合。 diff --git a/doc/api/v1/data_provider/dataprovider_en.rst b/doc/api/v1/data_provider/dataprovider_en.rst deleted file mode 100644 index 96efbb1da9..0000000000 --- a/doc/api/v1/data_provider/dataprovider_en.rst +++ /dev/null @@ -1,34 +0,0 @@ -Introduction -============== -DataProvider is a module that loads training or testing data into cpu or gpu -memory for the following triaining or testing process. - -For simple use, users can use Python :code:`PyDataProvider` to dynamically reads -the original data in any format or in any form, and then transfer them into a -data format PaddlePaddle requires. The process is extremly flexible and highly -customized, with sacrificing the efficiency only a little. This is extremly -useful when you have to dynamically generate certain kinds of data according to, -for example, the training performance. - -Besides, users also can customize a C++ :code:`DataProvider` for a more -complex usage, or for a higher efficiency. - -The following parameters are required to define in the PaddlePaddle network -configuration file (trainer_config.py): which DataProvider is chosen to used, -and specific parameters for DataProvider, including training file list -(train.list) and testing file list (test.list). - -Train.list and test.list are simply two plain text files, which defines path -of training or testing data. It is recommended that directly placing them into -the training directory, and reference to them by using a relative path ( -relative to the PaddePaddle program). - -Testing or evaluating will not be performed during training if the test.list is -not set or set to None. Otherwise, PaddlePaddle will evaluate the trained model -by the specified tesing data while training, every testing period (a user -defined command line parameter in PaddlePaddle) to prevent over-fitting. - -Each line of train.list and test.list is an absolute or relative path (relative -to the PaddePaddle program runtime) of data file. Fascinatingly more, each line -can also be a HDFS file path or a SQL connection string. As long as the user -assures how to access each file in DataProvider. diff --git a/doc/api/v1/data_provider/pydataprovider2_cn.rst b/doc/api/v1/data_provider/pydataprovider2_cn.rst deleted file mode 100644 index 8f9db31cfb..0000000000 --- a/doc/api/v1/data_provider/pydataprovider2_cn.rst +++ /dev/null @@ -1,229 +0,0 @@ -.. _api_pydataprovider2: - -PyDataProvider2的使用 -===================== - -PyDataProvider2是PaddlePaddle使用Python提供数据的推荐接口。该接口使用多线程读取数据，并提供了简单的Cache功能；同时可以使用户只关注如何从文件中读取每一条数据，而不用关心数据如何传输，如何存储等等。 - -.. contents:: - -MNIST的使用场景 ---------------- - -我们以MNIST手写识别为例，来说明PyDataProvider2的简单使用场景。 - -样例数据 -++++++++ - -MNIST是一个包含有70,000张灰度图片的数字分类数据集。样例数据 ``mnist_train.txt`` 如下： - -.. literalinclude:: src/mnist_train.txt - -其中每行数据代表一张图片，行内使用 ``;`` 分成两部分。第一部分是图片的标签，为0-9中的一个数字；第二部分是28*28的图片像素灰度值。 对应的 ``train.list`` 即为这个数据文件的名字： - -.. literalinclude:: src/train.list - -dataprovider的使用 -++++++++++++++++++ - -.. literalinclude:: src/mnist_provider.dict.py - -- 首先，引入PaddlePaddle的PyDataProvider2包。 -- 其次，定义一个Python的 `Decorator `_ `@provider`_ 。用于将下一行的数据输入函数标记成一个PyDataProvider2，同时设置它的input_types属性。 - - - `input_types`_：设置这个PyDataProvider2返回什么样的数据。本例根据网络配置中 ``data_layer`` 的名字，显式指定返回的是一个28*28维的稠密浮点数向量和一个[0-9]的10维整数标签。 - - .. literalinclude:: src/mnist_config.py - :lines: 9-10 - - - 注意：如果用户不显示指定返回数据的对应关系，那么PaddlePaddle会根据layer的声明顺序，来确定对应关系。但这个关系可能不正确，所以推荐使用显式指定的方式来设置input_types。 -- 最后，实现数据输入函数（如本例的 ``process`` 函数）。 - - - 该函数的功能是：打开文本文件，读取每一行，将行中的数据转换成与input_types一致的格式，然后返回给PaddlePaddle进程。注意， - - - 返回的顺序需要和input_types中定义的顺序一致。 - - 返回时，必须使用Python关键词 ``yield`` ，相关概念是 ``generator`` 。 - - 一次yield调用，返回一条完整的样本。如果想为一个数据文件返回多条样本，只需要在函数中调用多次yield即可（本例中使用for循环进行多次调用）。 - - - 该函数具有两个参数： - - - settings：在本例中没有使用，具体可以参考 `init_hook`_ 中的说明。 - - filename：为 ``train.list`` 或 ``test.list`` 中的一行，即若干数据文件路径的某一个。 - -网络配置中的调用 -++++++++++++++++ - -在网络配置里，只需要一行代码就可以调用这个PyDataProvider2，如， - -.. literalinclude:: src/mnist_config.py - :lines: 1-7 - -训练数据是 ``train.list`` ，没有测试数据，调用的PyDataProvider2是 ``mnist_provider`` 模块中的 ``process`` 函数。 - -小结 -+++++ - -至此，简单的PyDataProvider2样例就说明完毕了。对用户来说，仅需要知道如何从 **一个文件** 中读取 **一条样本** ，就可以将数据传送给PaddlePaddle了。而PaddlePaddle则会帮用户做以下工作： - -* 将数据组合成Batch进行训练 -* 对训练数据进行Shuffle -* 多线程的数据读取 -* 缓存训练数据到内存(可选) -* CPU->GPU双缓存 - -是不是很简单呢？ - -时序模型的使用场景 ------------------- -样例数据 -++++++++ - -时序模型是指数据的某一维度是一个序列形式，即包含时间步信息。所谓时间步信息，不一定和时间有关系，只是说明数据的顺序是重要的。例如，文本信息就是一个序列数据。 - -本例采用英文情感分类的数据，即将一段英文文本数据，分类成正面情绪和负面情绪两类(用0和1表示)。样例数据 ``sentimental_train.txt`` 如下： - -.. literalinclude:: src/sentimental_train.txt - -dataprovider的使用 -++++++++++++++++++ - -相对MNIST而言，这个dataprovider较复杂，主要原因是增加了初始化机制 `init_hook`_。本例的 ``on_init`` 函数就是根据该机制配置的，它会在dataprovider创建的时候执行。 - -- 其中 ``input_types`` 和在 `@provider`_ 中配置的效果一致。本例中的输入特征是词ID的序列，因此使用 ``integer_value_sequence`` 类型来设置。 -- 将 ``dictionary`` 存入settings对象，在 ``process`` 函数中使用。 dictionary是从网络配置中传入的dict对象，即一个将单词字符串映射到单词ID的字典。 - -.. literalinclude:: src/sentimental_provider.py - -网络配置中的调用 -++++++++++++++++ - -调用这个PyDataProvider2的方法，基本上和MNIST样例一致，除了 - -* 在配置中需要读取外部字典。 -* 在声明DataProvider的时候传入dictionary作为参数。 - -.. literalinclude:: src/sentimental_config.py - :emphasize-lines: 12-14 - -参考(Reference) ---------------- - -@provider -+++++++++ - -``@provider`` 是一个Python的 `Decorator`_ ，可以将某一个函数标记成一个PyDataProvider2。如果不了解 `Decorator`_ 是什么也没关系，只需知道这是一个标记属性的方法就可以了。它包含的属性参数如下: - -* input_types：数据输入格式。具体的格式说明，请参考 `input_types`_ 。 -* should_shuffle：是不是要对数据做Shuffle。训练时默认shuffle，测试时默认不shuffle。 -* min_pool_size：设置内存中最小暂存的数据条数，也是PaddlePaddle所能够保证的shuffle粒度。如果为-1，则会预先读取全部数据到内存中。 -* pool_size： 设置内存中暂存的数据条数。如果为-1（默认），则不在乎内存暂存多少条数据。如果设置，则推荐大于训练时batch size的值，并且在内存足够的情况下越大越好。 -* can_over_batch_size：是否允许暂存略微多余pool_size的数据。由于这样做可以避免很多死锁问题，一般推荐设置成True。 -* calc_batch_size：可以传入一个函数，用于自定义每条数据的batch size（默认为1）。 -* cache： 数据缓存的策略，具体请参考 `cache`_ 。 -* init_hook：初始化时调用的函数，具体请参考 `init_hook`_ 。 -* check：如果为true，会根据input_types检查数据的合法性。 -* check_fail_continue：如果为true，那么当check出数据不合法时，会扔到这条数据，继续训练或预测。（对check=false的情况，没有作用） - -input_types -+++++++++++ - -PaddlePaddle的数据包括四种主要类型，和三种序列模式。 - -四种数据类型： - -* dense_vector：稠密的浮点数向量。 -* sparse_binary_vector：稀疏的01向量，即大部分值为0，但有值的地方必须为1。 -* sparse_float_vector：稀疏的向量，即大部分值为0，但有值的部分可以是任何浮点数。 -* integer：整数标签。 - -三种序列模式： - -* SequenceType.NO_SEQUENCE：不是一条序列 -* SequenceType.SEQUENCE：是一条时间序列 -* SequenceType.SUB_SEQUENCE： 是一条时间序列，且序列的每一个元素还是一个时间序列。 - -不同的数据类型和序列模式返回的格式不同，列表如下： - -+----------------------+---------------------+-----------------------------------+------------------------------------------------+ -| | NO_SEQUENCE | SEQUENCE | SUB_SEQUENCE | -+======================+=====================+===================================+================================================+ -| dense_vector | [f, f, ...] | [[f, ...], [f, ...], ...] | [[[f, ...], ...], [[f, ...], ...],...] | -+----------------------+---------------------+-----------------------------------+------------------------------------------------+ -| sparse_binary_vector | [i, i, ...] | [[i, ...], [i, ...], ...] | [[[i, ...], ...], [[i, ...], ...],...] | -+----------------------+---------------------+-----------------------------------+------------------------------------------------+ -| sparse_float_vector | [(i,f), (i,f), ...] | [[(i,f), ...], [(i,f), ...], ...] | [[[(i,f), ...], ...], [[(i,f), ...], ...],...] | -+----------------------+---------------------+-----------------------------------+------------------------------------------------+ -| integer_value | i | [i, i, ...] | [[i, ...], [i, ...], ...] | -+----------------------+---------------------+-----------------------------------+------------------------------------------------+ - -其中，f代表一个浮点数，i代表一个整数。 - -注意：对sparse_binary_vector和sparse_float_vector，PaddlePaddle存的是有值位置的索引。例如， - -- 对一个5维非序列的稀疏01向量 ``[0, 1, 1, 0, 0]`` ，类型是sparse_binary_vector，返回的是 ``[1, 2]`` 。 -- 对一个5维非序列的稀疏浮点向量 ``[0, 0.5, 0.7, 0, 0]`` ，类型是sparse_float_vector，返回的是 ``[(1, 0.5), (2, 0.7)]`` 。 - -init_hook -+++++++++ - -init_hook可以传入一个函数。该函数在初始化的时候会被调用，其参数如下: - -* 第一个参数是settings对象，它和数据传入函数的第一个参数（如本例中 ``process`` 函数的 ``settings`` 参数）必须一致。该对象具有以下两个属性： - * settings.input_types：数据输入格式，具体请参考 `input_types`_ 。 - * settings.logger：一个logging对象。 -* 其他参数使用 ``kwargs`` （key word arguments）传入，包括以下两种： - * PaddlePaddle定义的参数: 1）is_train：bool型参数，表示用于训练或预测；2）file_list：所有文件列表。 - * 用户定义的参数：使用args在网络配置中设置。 - -注意：PaddlePaddle保留添加参数的权力，因此init_hook尽量使用 ``**kwargs`` 来接受不使用的函数以保证兼容性。 - -cache -+++++ - -PyDataProvider2提供了两种简单的Cache策略： - -* CacheType.NO_CACHE：不缓存任何数据，每次都会从python端读取数据 -* CacheType.CACHE_PASS_IN_MEM：第一个pass会从python端读取数据，剩下的pass会直接从内存里 - 读取数据。 - - -注意事项 --------- - -可能的内存泄露问题 -++++++++++++++++++ - -PaddlePaddle将train.list中的每一行都传递给process函数，从而生成多个generator。当训练数据非常多时，就会生成非常多的generator。 - -虽然每个generator在没有调用的时候，是几乎不占内存的；但当调用过一次后，generator便会存下当前的上下文(Context)，而这个Context可能会非常大。并且，generator至少需要调用两次才会知道是否停止。所以，即使process函数里面只有一个yield，也需要两次随机选择到相同generator的时候，才会释放该段内存。 - -.. code-block:: python - - def func(): - yield 0 - - f = func() # 创建generator - tmp = next(f) # 调用一次，返回0 - tmp = next(f) # 调用第二次的时候，才会Stop Iteration - -由于顺序调用这些generator不会出现上述问题，因此有两种解决方案： - -1. **最佳推荐**：将样本的地址放入另一个文本文件，train.list写入那个文本文件的地址。即不要将每一个样本都放入train.list。 -2. 在generator的上下文中尽量留下非常少的变量引用，例如 - -.. code-block:: python - - def real_process(fn): - # ... read from fn - return result # 当函数返回的时候，python可以解除掉内部变量的引用。 - - def process(fn): - yield real_process(fn) - -注意：这个问题是PyDataProvider读数据时候的逻辑问题，很难整体修正。 - -内存不够用的情况 -++++++++++++++++ - -PyDataProvider2会尽可能多的使用内存。因此，对于内存较小的机器，推荐使用 ``pool_size`` 变量来设置内存中暂存的数据条。具体请参考 `@provider`_ 中的说明。 - diff --git a/doc/api/v1/data_provider/pydataprovider2_en.rst b/doc/api/v1/data_provider/pydataprovider2_en.rst deleted file mode 100644 index e8fb629277..0000000000 --- a/doc/api/v1/data_provider/pydataprovider2_en.rst +++ /dev/null @@ -1,249 +0,0 @@ -.. _api_pydataprovider2: - -PyDataProvider2 -=============== - -We highly recommand users to use PyDataProvider2 to provide training or testing -data to PaddlePaddle. The user only needs to focus on how to read a single -sample from the original data file by using PyDataProvider2, leaving all of the -trivial work, including, transfering data into cpu/gpu memory, shuffle, binary -serialization to PyDataProvider2. PyDataProvider2 uses multithreading and a -fanscinating but simple cache strategy to optimize the efficiency of the data -providing process. - -DataProvider for the non-sequential model ------------------------------------------ - -Here we use the MNIST handwriting recognition data as an example to illustrate -how to write a simple PyDataProvider. - -MNIST is a handwriting classification data set. It contains 70,000 digital -grayscale images. Labels of the training sample range from 0 to 9. All the -images have been size-normalized and centered into images with the same size -of 28 x 28 pixels. - -A small part of the original data as an example is shown as below: - -.. literalinclude:: src/mnist_train.txt - -Each line of the data contains two parts, separated by :code:`;`. The first part is -label of an image. The second part contains 28x28 pixel float values. - -Just write path of the above data into train.list. It looks like this: - -.. literalinclude:: src/train.list - -The corresponding dataprovider is shown as below: - -.. literalinclude:: src/mnist_provider.dict.py - -The first line imports PyDataProvider2 package. -The main function is the process function, that has two parameters. -The first parameter is the settings, which is not used in this example. -The second parameter is the filename, that is exactly each line of train.list. -This parameter is passed to the process function by PaddlePaddle. - -:code:`@provider` is a Python -`Decorator `_ . -It sets some properties to DataProvider, and constructs a real PaddlePaddle -DataProvider from a very simple user implemented python function. It does not -matter if you are not familiar with `Decorator`_. You can keep it simple by -just taking :code:`@provider` as a fixed mark above the provider function you -implemented. - -`input_types`_ defines the data format that a DataProvider returns. -In this example, it is set to a 28x28-dimensional dense vector and an integer -scalar, whose value ranges from 0 to 9. -`input_types`_ can be set to several kinds of input formats, please refer to the -document of `input_types`_ for more details. - - -The process method is the core part to construct a real DataProvider in -PaddlePaddle. It implements how to open the text file, how to read one sample -from the original text file, convert them into `input_types`_, and give them -back to PaddlePaddle process at line 23. -Note that data yielded by the process function must follow the same order that -`input_types`_ are defined. - - -With the help of PyDataProvider2, user can focus on how to generate ONE traning -sample by using keywords :code:`yield`. -:code:`yield` is a python keyword, and a concept related to it includes -:code:`generator`. - -Only a few lines of codes need to be added into the training configuration file, -you can take this as an example. - -.. literalinclude:: src/mnist_config.py - -Here we specify training data by :code:`train.list`, and no testing data is specified. -The method which actually provide data is :code:`process`. - -User also can use another style to provide data, which defines the -:code:`data_layer`'s name explicitly when `yield`. For example, -the :code:`dataprovider` is shown as below. - -.. literalinclude:: src/mnist_provider.dict.py - :linenos: - -If user did't give the :code:`data_layer`'s name, PaddlePaddle will use -the order of :code:`data_layer` definition roughly to determine which feature to -which :code:`data_layer`. This order may be not correct, so TO DEFINE THE -:code:`data_layer`'s NAMES EXPLICITLY IS THE RECOMMANDED WAY TO PROVIDER DATA. - -Now, this simple example of using PyDataProvider is finished. -The only thing that the user should know is how to generte **one sample** from -**one data file**. -And PaddlePadle will do all of the rest things\: - -* Form a training batch -* Shuffle the training data -* Read data with multithreading -* Cache the training data (Optional) -* CPU-> GPU double buffering. - -Is this cool? - -.. _api_pydataprovider2_sequential_model: - -DataProvider for the sequential model -------------------------------------- -A sequence model takes sequences as its input. A sequence is made up of several -timesteps. The so-called timestep, is not necessary to have something to do -with time. It can also be explained to that the order of data are taken into -consideration into model design and training. -For example, the sentence can be interpreted as a kind of sequence data in NLP -tasks. - -Here is an example on data proivider for English sentiment classification data. -The original input data are simple English text, labeled into positive or -negative sentiment (marked by 0 and 1 respectively). - -A small part of the original data as an example can be found in the path below: - -.. literalinclude:: src/sentimental_train.txt - -The corresponding data provider can be found in the path below: - -.. literalinclude:: src/sentimental_provider.py - -This data provider for sequential model is a little more complex than that -for MINST dataset. -A new initialization method is introduced here. -The method :code:`on_init` is configured to DataProvider by :code:`@provider`'s -:code:`init_hook` parameter, and it will be invoked once DataProvider is -initialized. The :code:`on_init` function has the following parameters: - -* The first parameter is the settings object. -* The rest parameters are passed by key word arguments. Some of them are passed - by PaddlePaddle, see reference for `init_hook`_. - The :code:`dictionary` object is a python dict object passed from the trainer - configuration file, and it maps word string to word id. - -To pass these parameters into DataProvider, the following lines should be added -into trainer configuration file. - -.. literalinclude:: src/sentimental_config.py - -The definition is basically same as MNIST example, except: -* Load dictionary in this configuration -* Pass it as a parameter to the DataProvider - -The `input_types` is configured in method :code:`on_init`. It has the same -effect to configure them by :code:`@provider`'s :code:`input_types` parameter. -However, the :code:`input_types` is set at runtime, so we can set it to -different types according to the input data. Input of the neural network is a -sequence of word id, so set :code:`seq_type` to :code:`integer_value_sequence`. - -Durning :code:`on_init`, we save :code:`dictionary` variable to -:code:`settings`, and it will be used in :code:`process`. Note the settings -parameter for the process function and for the on_init's function are a same -object. - -The basic processing logic is the same as MNIST's :code:`process` method. Each -sample in the data file is given back to PaddlePaddle process. - -Thus, the basic usage of PyDataProvider is here. -Please refer to the following section reference for details. - -Reference ---------- - -@provider -+++++++++ - -.. autofunction:: paddle.trainer.PyDataProvider2.provider - -input_types -+++++++++++ - -PaddlePaddle has four data types, and three sequence types. -The four data types are: - -* :code:`dense_vector`: dense float vector. -* :code:`sparse_binary_vector`: sparse binary vector, most of the value is 0, and - the non zero elements are fixed to 1. -* :code:`sparse_float_vector`: sparse float vector, most of the value is 0, and some - non zero elements can be any float value. They are given by the user. -* :code:`integer`: an integer scalar, that is especially used for label or word index. - -The three sequence types are: - -* :code:`SequenceType.NO_SEQUENCE` means the sample is not a sequence. -* :code:`SequenceType.SEQUENCE` means the sample is a sequence. -* :code:`SequenceType.SUB_SEQUENCE` means it is a nested sequence, that each timestep of - the input sequence is also a sequence. - -Different input type has a defferenct input format. Their formats are shown -in the above table. - -+----------------------+---------------------+-----------------------------------+------------------------------------------------+ -| | NO_SEQUENCE | SEQUENCE | SUB_SEQUENCE | -+======================+=====================+===================================+================================================+ -| dense_vector | [f, f, ...] | [[f, ...], [f, ...], ...] | [[[f, ...], ...], [[f, ...], ...],...] | -+----------------------+---------------------+-----------------------------------+------------------------------------------------+ -| sparse_binary_vector | [i, i, ...] | [[i, ...], [i, ...], ...] | [[[i, ...], ...], [[i, ...], ...],...] | -+----------------------+---------------------+-----------------------------------+------------------------------------------------+ -| sparse_float_vector | [(i,f), (i,f), ...] | [[(i,f), ...], [(i,f), ...], ...] | [[[(i,f), ...], ...], [[(i,f), ...], ...],...] | -+----------------------+---------------------+-----------------------------------+------------------------------------------------+ -| integer_value | i | [i, i, ...] | [[i, ...], [i, ...], ...] | -+----------------------+---------------------+-----------------------------------+------------------------------------------------+ - -where f represents a float value, i represents an integer value. - -init_hook -+++++++++ - -init_hook is a function that is invoked once the data provoder is initialized. -Its parameters lists as follows: - -* The first parameter is a settings object, which is the same to :code:`settings` - in :code:`process` method. The object contains several attributes, including: - - * :code:`settings.input_types`: the input types. Reference `input_types`_. - * :code:`settings.logger`: a logging object. - -* The rest parameters are the key word arguments. It is made up of PaddpePaddle - pre-defined parameters and user defined parameters. - - * PaddlePaddle-defined parameters including: - - * :code:`is_train` is a bool parameter that indicates the DataProvider is used in - training or testing. - * :code:`file_list` is the list of all files. - - * User-defined parameters args can be set in training configuration. - -Note, PaddlePaddle reserves the right to add pre-defined parameter, so please -use :code:`**kwargs` in init_hook to ensure compatibility by accepting the -parameters which your init_hook does not use. - -cache -+++++ -DataProvider provides two simple cache strategy. They are: - -* :code:`CacheType.NO_CACHE` means do not cache any data, then data is read at runtime by - the user implemented python module every pass. -* :code:`CacheType.CACHE_PASS_IN_MEM` means the first pass reads data by the user - implemented python module, and the rest passes will directly read data from - memory. diff --git a/doc/api/v1/data_provider/src/mnist_config.py b/doc/api/v1/data_provider/src/mnist_config.py deleted file mode 100644 index 427e0465a6..0000000000 --- a/doc/api/v1/data_provider/src/mnist_config.py +++ /dev/null @@ -1,23 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. -from paddle.trainer_config_helpers import * - -define_py_data_sources2( - train_list='train.list', - test_list=None, - module='mnist_provider', - obj='process') - -img = data_layer(name='pixel', size=784) -label = data_layer(name='label', size=10) diff --git a/doc/api/v1/data_provider/src/mnist_provider.dict.py b/doc/api/v1/data_provider/src/mnist_provider.dict.py deleted file mode 100644 index 3fbb783e2f..0000000000 --- a/doc/api/v1/data_provider/src/mnist_provider.dict.py +++ /dev/null @@ -1,37 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. -from paddle.trainer.PyDataProvider2 import * - - -# Define a py data provider -@provider( - input_types={'pixel': dense_vector(28 * 28), - 'label': integer_value(10)}) -def process(settings, filename): # settings is not used currently. - f = open(filename, 'r') # open one of training file - - for line in f: # read each line - label, pixel = line.split(';') - - # get features and label - pixels_str = pixel.split(' ') - - pixels_float = [] - for each_pixel_str in pixels_str: - pixels_float.append(float(each_pixel_str)) - - # give data to paddle. - yield {"pixel": pixels_float, 'label': int(label)} - - f.close() # close file diff --git a/doc/api/v1/data_provider/src/mnist_train.txt b/doc/api/v1/data_provider/src/mnist_train.txt deleted file mode 100644 index 34be718ad9..0000000000 --- a/doc/api/v1/data_provider/src/mnist_train.txt +++ /dev/null @@ -1,3 +0,0 @@ -5;0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.215686 0.533333 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.67451 0.992157 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.070588 0.886275 0.992157 0 0 0 0 0 0 0 0 0 0 0.192157 0.070588 0 0 0 0 0 0 0 0 0 0 0 0 0 0.670588 0.992157 0.992157 0 0 0 0 0 0 0 0 0 0.117647 0.933333 0.858824 0.313725 0 0 0 0 0 0 0 0 0 0 0 0.090196 0.858824 0.992157 0.831373 0 0 0 0 0 0 0 0 0 0.141176 0.992157 0.992157 0.611765 0.054902 0 0 0 0 0 0 0 0 0 0 0.258824 0.992157 0.992157 0.529412 0 0 0 0 0 0 0 0 0 0.368627 0.992157 0.992157 0.419608 0.003922 0 0 0 0 0 0 0 0 0 0.094118 0.835294 0.992157 0.992157 0.517647 0 0 0 0 0 0 0 0 0 0.603922 0.992157 0.992157 0.992157 0.603922 0.545098 0.043137 0 0 0 0 0 0 0 0.447059 0.992157 0.992157 0.956863 0.062745 0 0 0 0 0 0 0 0 0.011765 0.666667 0.992157 0.992157 0.992157 0.992157 0.992157 0.745098 0.137255 0 0 0 0 0 0.152941 0.866667 0.992157 0.992157 0.521569 0 0 0 0 0 0 0 0 0 0.070588 0.992157 0.992157 0.992157 0.803922 0.352941 0.745098 0.992157 0.945098 0.317647 0 0 0 0 0.580392 0.992157 0.992157 0.764706 0.043137 0 0 0 0 0 0 0 0 0 0.070588 0.992157 0.992157 0.776471 0.043137 0 0.007843 0.27451 0.882353 0.941176 0.176471 0 0 0.180392 0.898039 0.992157 0.992157 0.313725 0 0 0 0 0 0 0 0 0 0 0.070588 0.992157 0.992157 0.713725 0 0 0 0 0.627451 0.992157 0.729412 0.062745 0 0.509804 0.992157 0.992157 0.776471 0.035294 0 0 0 0 0 0 0 0 0 0 0.494118 0.992157 0.992157 0.968627 0.168627 0 0 0 0.423529 0.992157 0.992157 0.364706 0 0.717647 0.992157 0.992157 0.317647 0 0 0 0 0 0 0 0 0 0 0 0.533333 0.992157 0.984314 0.945098 0.603922 0 0 0 0.003922 0.466667 0.992157 0.988235 0.976471 0.992157 0.992157 0.788235 0.007843 0 0 0 0 0 0 0 0 0 0 0 0.686275 0.882353 0.364706 0 0 0 0 0 0 0.098039 0.588235 0.992157 0.992157 0.992157 0.980392 0.305882 0 0 0 0 0 0 0 0 0 0 0 0 0.101961 0.67451 0.321569 0 0 0 0 0 0 0 0.105882 0.733333 0.976471 0.811765 0.713725 0 0 0 0 0 0 0 0 0 0 0 0 0 0.65098 0.992157 0.321569 0 0 0 0 0 0 0 0 0 0.25098 0.007843 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0.94902 0.219608 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.968627 0.764706 0.152941 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.498039 0.25098 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0; 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diff --git a/doc/api/v1/data_provider/src/sentimental_config.py b/doc/api/v1/data_provider/src/sentimental_config.py deleted file mode 100644 index edbf3cf140..0000000000 --- a/doc/api/v1/data_provider/src/sentimental_config.py +++ /dev/null @@ -1,27 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. -from paddle.trainer_config_helpers import * - -dictionary = dict() -... # read dictionary from outside - -define_py_data_sources2( - train_list='train.list', - test_list=None, - module='sentimental_provider', - obj='process', - # above codes same as mnist sample. - args={ # pass to provider. - 'dictionary': dictionary - }) diff --git a/doc/api/v1/data_provider/src/sentimental_provider.py b/doc/api/v1/data_provider/src/sentimental_provider.py deleted file mode 100644 index 03ad1fe7d8..0000000000 --- a/doc/api/v1/data_provider/src/sentimental_provider.py +++ /dev/null @@ -1,56 +0,0 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. -from paddle.trainer.PyDataProvider2 import * - - -def on_init(settings, dictionary, **kwargs): - # on_init will invoke when data provider is initialized. The dictionary - # is passed from trainer_config, and is a dict object with type - # (word string => word id). - - # set input types in runtime. It will do the same thing as - # @provider(input_types) will do, but it is set dynamically during runtime. - settings.input_types = { - # The text is a sequence of integer values, and each value is a word id. - # The whole sequence is the sentences that we want to predict its - # sentimental. - 'data': integer_value_sequence(len(dictionary)), # text input - 'label': integer_value(2) # label positive/negative - } - - # save dictionary as settings.dictionary. - # It will be used in process method. - settings.dictionary = dictionary - - -@provider(init_hook=on_init) -def process(settings, filename): - f = open(filename, 'r') - - for line in f: # read each line of file - label, sentence = line.split('\t') # get label and sentence - words = sentence.split(' ') # get words - - # convert word string to word id - # the word not in dictionary will be ignored. - word_ids = [] - - for each_word in words: - if each_word in settings.dictionary: - word_ids.append(settings.dictionary[each_word]) - - # give data to paddle. - yield word_ids, int(label) - - f.close() diff --git a/doc/api/v1/data_provider/src/sentimental_train.txt b/doc/api/v1/data_provider/src/sentimental_train.txt deleted file mode 100644 index 0060ac267c..0000000000 --- a/doc/api/v1/data_provider/src/sentimental_train.txt +++ /dev/null @@ -1,3 +0,0 @@ -0 I saw this movie at the AFI Dallas festival . It all takes place at a lake house and it looks wonderful . -1 This documentary makes you travel all around the globe . It contains rare and stunning sequels from the wilderness . -... diff --git a/doc/api/v1/data_provider/src/train.list b/doc/api/v1/data_provider/src/train.list deleted file mode 100644 index 92bdc0a8b4..0000000000 --- a/doc/api/v1/data_provider/src/train.list +++ /dev/null @@ -1 +0,0 @@ -mnist_train.txt diff --git a/doc/api/v1/index_cn.rst b/doc/api/v1/index_cn.rst deleted file mode 100644 index cf146dc088..0000000000 --- a/doc/api/v1/index_cn.rst +++ /dev/null @@ -1,37 +0,0 @@ -API中文手册 -============ - -DataProvider API ----------------- - -.. toctree:: - :maxdepth: 1 - - data_provider/dataprovider_cn.rst - data_provider/pydataprovider2_cn.rst - -.. _api_trainer_config: - -Model Config API ----------------- - -.. toctree:: - :maxdepth: 1 - - trainer_config_helpers/optimizers.rst - trainer_config_helpers/data_sources.rst - trainer_config_helpers/layers.rst - trainer_config_helpers/activations.rst - trainer_config_helpers/poolings.rst - trainer_config_helpers/networks.rst - trainer_config_helpers/evaluators.rst - trainer_config_helpers/attrs.rst - - -Applications API ----------------- - -.. toctree:: - :maxdepth: 1 - - predict/swig_py_paddle_cn.rst diff --git a/doc/api/v1/index_en.rst b/doc/api/v1/index_en.rst deleted file mode 100644 index 10c297a71d..0000000000 --- a/doc/api/v1/index_en.rst +++ /dev/null @@ -1,37 +0,0 @@ -API -=== - -DataProvider API ----------------- - -.. toctree:: - :maxdepth: 1 - - data_provider/dataprovider_en.rst - data_provider/pydataprovider2_en.rst - -.. _api_trainer_config: - -Model Config API ----------------- - -.. toctree:: - :maxdepth: 1 - - trainer_config_helpers/optimizers.rst - trainer_config_helpers/data_sources.rst - trainer_config_helpers/layers.rst - trainer_config_helpers/activations.rst - trainer_config_helpers/poolings.rst - trainer_config_helpers/networks.rst - trainer_config_helpers/evaluators.rst - trainer_config_helpers/attrs.rst - - -Applications API ----------------- - -.. toctree:: - :maxdepth: 1 - - predict/swig_py_paddle_en.rst diff --git a/doc/api/v1/predict/src/predict_sample.py b/doc/api/v1/predict/src/predict_sample.py deleted file mode 100644 index 51349250e8..0000000000 --- a/doc/api/v1/predict/src/predict_sample.py +++ /dev/null @@ -1,135 +0,0 @@ -# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved -# -# Licensed under the Apache License, Version 2.0 (the "License"); -# you may not use this file except in compliance with the License. -# You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -# Unless required by applicable law or agreed to in writing, software -# distributed under the License is distributed on an "AS IS" BASIS, -# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -# See the License for the specific language governing permissions and -# limitations under the License. - -from py_paddle import swig_paddle, DataProviderConverter -from paddle.trainer.PyDataProvider2 import dense_vector -from paddle.trainer.config_parser import parse_config - -TEST_DATA = [[[ - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 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0, 0, 0, 0, 0, 0, 0.14902, 0.698039, 0.988235, 0.992157, 0.988235, 0.901961, - 0.87451, 0.568627, 0.882353, 0.976471, 0.988235, 0.988235, 0.501961, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.188235, 0.647059, 0.988235, 0.988235, - 0.745098, 0.439216, 0.098039, 0, 0, 0, 0.572549, 0.988235, 0.988235, - 0.988235, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.2, 0.933333, 0.992157, - 0.941176, 0.247059, 0, 0, 0, 0, 0, 0, 0.188235, 0.898039, 0.992157, - 0.992157, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.039216, 0.639216, 0.933333, - 0.988235, 0.913725, 0.278431, 0, 0, 0, 0, 0, 0, 0, 0.113725, 0.843137, - 0.988235, 0.988235, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.235294, 0.988235, - 0.992157, 0.988235, 0.815686, 0.07451, 0, 0, 0, 0, 0, 0, 0, 0.333333, - 0.988235, 0.988235, 0.552941, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.211765, - 0.878431, 0.988235, 0.992157, 0.701961, 0.329412, 0.109804, 0, 0, 0, 0, 0, - 0, 0, 0.698039, 0.988235, 0.913725, 0.145098, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.188235, 0.890196, 0.988235, 0.988235, 0.745098, 0.047059, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0.882353, 0.988235, 0.568627, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.2, - 0.933333, 0.992157, 0.992157, 0.992157, 0.447059, 0.294118, 0, 0, 0, 0, 0, - 0, 0, 0, 0.447059, 0.992157, 0.768627, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0.623529, 0.988235, 0.988235, 0.988235, 0.988235, 0.992157, 0.47451, 0, 0, - 0, 0, 0, 0, 0, 0.188235, 0.933333, 0.87451, 0.509804, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0.992157, 0.988235, 0.937255, 0.792157, 0.988235, 0.894118, - 0.082353, 0, 0, 0, 0, 0, 0, 0.027451, 0.647059, 0.992157, 0.654902, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0.623529, 0.988235, 0.913725, 0.329412, 0.376471, - 0.184314, 0, 0, 0, 0, 0, 0, 0.027451, 0.513725, 0.988235, 0.635294, - 0.219608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.196078, 0.929412, 0.988235, - 0.988235, 0.741176, 0.309804, 0, 0, 0, 0, 0, 0, 0.529412, 0.988235, - 0.678431, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.223529, 0.992157, - 0.992157, 1, 0.992157, 0.992157, 0.992157, 0.992157, 1, 0.992157, 0.992157, - 0.882353, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0.023529, - 0.478431, 0.654902, 0.658824, 0.952941, 0.988235, 0.988235, 0.988235, - 0.992157, 0.988235, 0.729412, 0.278431, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0.196078, 0.647059, 0.764706, 0.764706, 0.768627, - 0.580392, 0.047059, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, - 0, 0, 0, 0, 0, 0, 0 -]]] - - -def main(): - conf = parse_config("./mnist_model/trainer_config.py", "") - print conf.data_config.load_data_args - network = swig_paddle.GradientMachine.createFromConfigProto( - conf.model_config) - assert isinstance(network, swig_paddle.GradientMachine) # For code hint. - network.loadParameters("./mnist_model/") - converter = DataProviderConverter([dense_vector(784)]) - inArg = converter(TEST_DATA) - print network.forwardTest(inArg) - - -if __name__ == '__main__': - swig_paddle.initPaddle("--use_gpu=0") - main() diff --git a/doc/api/v1/predict/swig_py_paddle_cn.rst b/doc/api/v1/predict/swig_py_paddle_cn.rst deleted file mode 100644 index 42f333dba2..0000000000 --- a/doc/api/v1/predict/swig_py_paddle_cn.rst +++ /dev/null @@ -1,58 +0,0 @@ -.. _api_swig_py_paddle: - -基于Python的预测 -================ - -预测流程 --------- - -PaddlePaddle使用swig对常用的预测接口进行了封装，通过编译会生成py_paddle软件包，安装该软件包就可以在python环境下实现模型预测。可以使用python的 ``help()`` 函数查询软件包相关API说明。 - -基于Python的模型预测，主要包括以下五个步骤。 - -1. 初始化PaddlePaddle环境 - - 在程序开始阶段，通过调用 ``swig_paddle.initPaddle()`` 并传入相应的命令行参数初始化PaddlePaddle。 - -2. 解析模型配置文件 - - 初始化之后，可以通过调用 ``parse_config()`` 解析训练模型时用的配置文件。注意预测数据通常不包含label, 同时预测网络通常直接输出最后一层的结果而不是像训练网络一样再接一层cost layer，所以一般需要对训练用的模型配置文件稍作相应修改才能在预测时使用。 - -3. 构造paddle.GradientMachine - - 通过调用 ``swig_paddle.GradientMachine.createFromConfigproto()`` 传入上一步解析出来的模型配置就可以创建一个 ``GradientMachine``。 - -4. 准备预测数据 - - swig_paddle中的预测接口的参数是自定义的C++数据类型，py_paddle里面提供了一个工具类 ``DataProviderConverter`` 可以用于接收和PyDataProvider2一样的输入数据并转换成预测接口所需的数据类型。 - -5. 模型预测 - - 通过调用 ``forwardTest()`` 传入预测数据，直接返回计算结果。 - - -预测Demo --------- - -如下是一段使用mnist model来实现手写识别的预测代码。完整的代码见 ``src_root/doc/ui/predict/predict_sample.py`` 。mnist model可以通过 ``src_root\demo\mnist`` 目录下的demo训练出来。 - -.. literalinclude:: src/predict_sample.py - :language: python - :lines: 15-18,121-136 - - -Demo预测输出如下，其中value即为softmax层的输出。由于TEST_DATA包含两条预测数据，所以输出的value包含两个向量 。 - -.. code-block:: text - - [{'id': None, 'value': array( - [[ 5.53018653e-09, 1.12194102e-05, 1.96644767e-09, - 1.43630644e-02, 1.51111044e-13, 9.85625684e-01, - 2.08823112e-10, 2.32777140e-08, 2.00186201e-09, - 1.15501715e-08], - [ 9.99982715e-01, 1.27787406e-10, 1.72296313e-05, - 1.49316648e-09, 1.36540484e-11, 6.93137714e-10, - 2.70634608e-08, 3.48565123e-08, 5.25639710e-09, - 4.48684503e-08]], dtype=float32)}] - - diff --git a/doc/api/v1/predict/swig_py_paddle_en.rst b/doc/api/v1/predict/swig_py_paddle_en.rst deleted file mode 100644 index 1c628e6971..0000000000 --- a/doc/api/v1/predict/swig_py_paddle_en.rst +++ /dev/null @@ -1,59 +0,0 @@ -Python Prediction -================== - -PaddlePaddle offers a set of clean prediction interfaces for python with the help of -SWIG. The main steps of predict values in python are: - -* Parse training configurations -* Construct GradientMachine -* Prepare data -* Predict - -Here is a sample python script that shows the typical prediction process for the -MNIST classification problem. A complete sample code could be found at -:code:`src_root/doc/ui/predict/predict_sample.py`. - -.. literalinclude:: src/predict_sample.py - :language: python - :lines: 15-18,90-100,101-104 - -The module that does the most of the job is py_paddle.swig_paddle, it's -generated by SWIG and has complete documents, for more details you can use -python's :code:`help()` function. Let's walk through the above python script: - -* At the beginning, use :code:`swig_paddle.initPaddle()` to initialize - PaddlePaddle with command line arguments, for more about command line arguments - see :ref:`cmd_detail_introduction` . -* Parse the configuration file that is used in training with :code:`parse_config()`. - Because data to predict with always have no label, and output of prediction work - normally is the output layer rather than the cost layer, so you should modify - the configuration file accordingly before using it in the prediction work. -* Create a neural network with - :code:`swig_paddle.GradientMachine.createFromConfigproto()`, which takes the - parsed configuration :code:`conf.model_config` as argument. Then load the - trained parameters from the model with :code:`network.loadParameters()`. -* Create a data converter object of utility class :code:`DataProviderConverter`. - - Note: As swig_paddle can only accept C++ matrices, we offer a utility - class DataProviderConverter that can accept the same input data with - PyDataProvider2, for more information please refer to document - of :ref:`api_pydataprovider2` . -* Do the prediction with :code:`forwardTest()`, which takes the converted - input data and outputs the activations of the output layer. - -Here is a typical output: - -.. code-block:: text - - [{'id': None, 'value': array([[ 5.53018653e-09, 1.12194102e-05, 1.96644767e-09, - 1.43630644e-02, 1.51111044e-13, 9.85625684e-01, - 2.08823112e-10, 2.32777140e-08, 2.00186201e-09, - 1.15501715e-08], - [ 9.99982715e-01, 1.27787406e-10, 1.72296313e-05, - 1.49316648e-09, 1.36540484e-11, 6.93137714e-10, - 2.70634608e-08, 3.48565123e-08, 5.25639710e-09, - 4.48684503e-08]], dtype=float32)}] - -:code:`value` is the output of the output layer, each row represents result of -the corresponding row in the input data, each element represents activation of -the corresponding neuron in the output layer. - diff --git a/doc/api/v2/fluid/layers.rst b/doc/api/v2/fluid/layers.rst index 6e1d6719ac..25d28de0aa 100644 --- a/doc/api/v2/fluid/layers.rst +++ b/doc/api/v2/fluid/layers.rst @@ -18,6 +18,11 @@ dynamic_lstm .. autofunction:: paddle.v2.fluid.layers.dynamic_lstm :noindex: +dynamic_gru +----------- +.. autofunction:: paddle.v2.fluid.layers.dynamic_gru + :noindex: + data ---- .. autofunction:: paddle.v2.fluid.layers.data @@ -499,3 +504,33 @@ swish ------ .. autofunction:: paddle.v2.fluid.layers.swish :noindex: + +im2sequence +------ +.. autofunction:: paddle.v2.fluid.layers.im2sequence + :noindex: + +edit_distance +--------------- +.. autofunction:: paddle.v2.fluid.layers.edit_distance_error + :noindex: + +ctc_greedy_decoder +--------------- +.. autofunction:: paddle.v2.fluid.layers.ctc_greedy_decoder + :noindex: + +l2_normalize +------------ +.. autofunction:: paddle.v2.fluid.layers.l2_normalize + :noindex: + +sequence_reshape +---------------- +.. autofunction:: paddle.v2.fluid.layers.sequence_reshape + :noindex: + +row_conv +-------- +.. autofunction:: paddle.v2.fluid.layers.row_conv + :noindex: diff --git a/doc/design/csp.md b/doc/design/csp.md new file mode 100644 index 0000000000..ba9cacfdea --- /dev/null +++ b/doc/design/csp.md @@ -0,0 +1,96 @@ +# Design Doc: CSP in PaddlePaddle Fluid + +## Motivation + +Concurrent programming is important for deep learning. Few example applications are: + +1. The main thread keeps reading the next mini-batch while another thread uses the GPU for computing. +2. The main thread performs the computation while another thread uploads the local gradients from each trainer to the parameter server. + +Most DL systems, including TensorFlow, Caffe2, and MxNet, can asynchronously execute operators in a graph. However, Fluid doesn't have the concept of a graph at all, as the design goal of Fluid is that of a programming language. + +## Concurrent Programming Models + +There were many concurrent programming models, implemented in various forms: + +| concurrent programming model | implementation | +|-----|-----| +| mutex | types and functions in standard libraries | +| semaphore | types and functions in standard libraries | +| communicating sequential processes (CSP) | Go programming language | +| actor model | Erlang programming language | +| message passing | MPI | +| bulk synchronous parallel (BSP) | Pregel distributed programming framework | + +Since Fluid was designed to be a programming language, we would like to implement CSP in Fluid. + +### CSP v.s. Actor Model + +A well-known implementation of Actor Model is the Erlang programming language. In Actor Model, *processes* could send messages to another process and receive messages from another process given the process IDs. We can find the three ingredients, process with ID, send, and recv, in MPI too. Indeed, we can rewrite Erlang programs in Python + MPI with possibly fewer lines of code. Our concern with Actor Model is that it doesn't seem reasonable to implement process management in a programming language's runtime library; instead, it should be the operating systems' responsibility to manage processes and libraries like MPI for send/recv. + +## CSP in Fluid + +Fluid has two fundamental control-flows: *if-else* and *while*. If we are to implement CSP, we need the following: + +1. a new data type: *channel* and operators *send* and *recv*, +1. *goroutine* or thread, and +1. a new control-flow: select. + +We also need Python wrappers for the above components. + +The type *channel* is conceptually the blocking queue. In Go, its implemented is a [blocking circular queue](https://github.com/golang/go/blob/68ce117cf17b8debf5754bfd476345779b5b6616/src/runtime/chan.go#L31-L50), which supports send and recv. + +The `select` operation has been in OS kernels long before Go language. All Unix kernels implement system calls *poll* and *select*. They monitor multiple file descriptors to see if I/O is possible on any of them. This takes O(N) time. Since Linux 2.6, a new system call, *epoll*, can do the same in O(1) time. In BSD systems, there is a similar system call *kqueue*. Go's Linux implementation uses epoll. + +It might be a good idea to implement Fluid's select using epoll too. In this design doc, we start from the O(N) way, so we could focus on Python binding and the syntax. + +### Type Channel + +Fluid supports many data types: + +1. Tensor, +1. Row-sparse Tensor +1. LoD Tensor, +1. Tensor array, etc + +Each data type is registered in the [`framework.proto`](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/framework.proto#L117-L127) as an enum value. To add a new type channel, we need to add a new type enum. + +To expose a C++ type to Python, we need to edit the [`pybind.cc`](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/pybind/pybind.cc) file. [Here](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/pybind/pybind.cc#L120-L164) is an example how we expose C++ class LoDTensor. + +## Syntax Design + +### Create Channel + +In Go, we create a channel by specifying the element type and buffer size: + +```go +ch := make(chan int) // a channel without buffer +ch1 := make(chan int, 100) // a channel that can buffer 100 ints. +``` + +In Fluid, we should be able to do the same: + +```python +ch = fluid.make_chan(dtype=INT) +ch1 = fluid.make_chan(dtype=INT, 100) +``` + +In addition to that, we want channels that can hold more complex element types, e.g., Tensors of float16: + +```python +ch = fluid.make_chan(dtype=Tensor, etype=float16) +``` + +or Tensors of Tensors of float16 etc. + +The point here is that we need a consistent way to compose types, like in C++ we can have `Tensor...> >`. + +### Send and Recv + +### Select + +## Example Programs + +### 1. RPC between Trainers and Parameter Servers + +### 2. Concurrent Minibatch Loading diff --git a/doc/design/dist_refactor/parameter_server.md b/doc/design/dist_refactor/parameter_server.md index 1094f06d46..805dd13048 100644 --- a/doc/design/dist_refactor/parameter_server.md +++ b/doc/design/dist_refactor/parameter_server.md @@ -9,16 +9,16 @@ different purposes. ## Background -The previous implementations of the parameter server does not run a +The previous implementations of the parameter server do not run a fluid sub-program. Parameter initialization, optimizer computation, network communication and checkpointing are implemented twice on both the -trainer and the parameter server. +trainer as well as the parameter server. -It would be great if we can write code once and use them on both the -trainer and the parameter server: reduces code duplication and -improves extensibility. Given that after the current refactor, we are -representing everything as a computing graph on the -trainer. Representing everything as a computing graph on the parameter +It would be great if we can write code once and use them on both: the +trainer and the parameter server, since this reduces code duplication and +improves extensibility. Given that after the current refactoring, we are +representing everything as a computation graph on the +trainer. Representing everything as a computation graph on the parameter server becomes a natural extension. ## Design @@ -30,9 +30,9 @@ into sub-programs to be scheduled on different nodes with the following steps: 1. OP placement: the OPs will be placed on different nodes according - to heuristic that minimizes estimated total computation + to a heuristic that minimizes the estimated total computation time. Currently we will use a simple heuristic that puts parameter - varable on parameter server workers and everything else on trainer + variable on parameter server workers and everything else on trainer workers. 1. Add communication OPs to enable the communication between nodes. @@ -47,22 +47,22 @@ After converting: -1. The parameter variable W and it's optimizer program are placed on the parameter server. +1. The parameter variable W and its optimizer program are placed on the parameter server. 1. Operators are added to the program. - *Send* sends data to the connected *Recv* operator. The scheduler on the receive node will only schedule *Recv* operator to run when the *Send* operator has ran (the *Send* OP will mark the *Recv* OP runnable automatically). - - *Enueue* enqueues the input variable, it can block until space + - *Enqueue* enqueues the input variable, it can block until space become available in the queue. - *Dequeue* outputs configurable numbers of tensors from the - queue. It will block until the queue have the required number of + queue. It will block until the queue has the required number of tensors. ### Benefits -- Model parallelism become easier to implement: it's an extension to +- Model parallelism becomes easier to implement: it is an extension to the trainer - parameter server approach. We can have several "Transpilers" to achieve different goals. - User-defined optimizer is easier to add - user can now express it as @@ -72,22 +72,22 @@ After converting: ### Challenges -- It's important to balance the parameter shards of on multiple - parameter server. If a single parameter is very big (some +- It is important to balance the parameter shards on multiple + parameter servers. If a single parameter is very big (for example: some word-embedding, fully connected, softmax layer), we need to automatically partition the single parameter onto different parameter servers when possible (only element-wise optimizer depends on the parameter variable). -- In the "Aync SGD" figure, the "W" variable on the parameter server - could be read and wrote concurrently. See +- In the "Async SGD" figure, the "W" variable on the parameter server + could be read and written concurrently. See [here](https://github.com/PaddlePaddle/Paddle/pull/6394) for more - details about concurrent program in fluid. + details about concurrent program in Fluid. ### Discussion - Can the Enqueue OP be implemented under our current tensor design - (puts the input tensor into the queue tensor)? -- *Dequeue* OP will have variable numbers of output (depends on the + (put the input tensor into the queue tensor)? +- *Dequeue* OP will have variable numbers of output (depending on the `min_count` attribute), does our current design support it? (similar question for the *Add* OP) diff --git a/doc/design/error_clip.md b/doc/design/error_clip.md index 8e845462cc..58aa73b8cd 100644 --- a/doc/design/error_clip.md +++ b/doc/design/error_clip.md @@ -46,12 +46,12 @@ class ErrorClipByValue(BaseErrorClipAttr): self.min = min def append_clip_op(self, block, grad_name): - block.append_op( - type="clip", - inputs={"X": grad_name}, - outputs={"Out": grad_name}, - attrs={"min": self.min, - "max": self.max}) + clip_op_desc = block.desc.append_op() + clip_op_desc.set_type("clip") + clip_op_desc.set_input("X", [grad_name]) + clip_op_desc.set_output("Out", [grad_name]) + clip_op_desc.set_attr("min", self.min) + clip_op_desc.set_attr("max", self.max) ``` The `BaseErrorClipAttr` have one main member functions: `append_clip_op(self, block, grad_name)`. @@ -80,6 +80,11 @@ def error_clip_callback(block, context): op_desc.output_arg_names()): fwd_var = block.var_recursive(grad_to_var[grad_n]) error_clip = getattr(fwd_var, "error_clip", None) + if not (error_clip is None or isinstance(error_clip, + BaseErrorClipAttr)): + raise TypeError( + "Variable's error_clip should be an instance of BaseErrorClipAttr or None." + ) if error_clip is not None: error_clip.append_clip_op(block, grad_n) ``` diff --git a/doc/design/fluid.md b/doc/design/fluid.md index 585dc8ef39..2acc168007 100644 --- a/doc/design/fluid.md +++ b/doc/design/fluid.md @@ -105,18 +105,10 @@ There are two ways to execute a Fluid program. When a program is executed, it c There is a C++ class [`Executor`](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/executor.h), which runs a `ProgramDesc`, similar to how an interpreter runs a Python program. -Fluid is moving towards the direction of a compiler, which is explain in more detail later in this article. +Fluid is moving towards the direction of a compiler, which is explain in [fluid_compiler.md](fluid_compiler.md). ## Backward Compatibility of Fluid Given all the advantages from the removal of the concept of a *model*, hardware manufacturers might still prefer the existence of the concept of a model, so it would be easier for them to support multiple frameworks all at once and could run a trained model during inference. For example, Nervana, a startup company acquired by Intel, has been working on an XPU that reads the models in the format known as [n-graph](https://github.com/NervanaSystems/ngraph). Similarly, [Movidius](https://www.movidius.com/) is producing a mobile deep learning chip that reads and runs graphs of operators. The well-known [ONNX](https://github.com/onnx/onnx) is also a file format of graphs of operators. For Fluid, we can write a converter that extracts the parts in the `ProgramDesc` protobuf message, converts them into a graph of operators, and exports the graph into the ONNX or n-graph format. - -## Towards a Deep Learning Language and the Compiler - -We can change the `if-then-else` and loop structure a little bit in the above Fluid example programs, to make it into a new programming language, different than Python. - -Even if we do not invent a new language, as long as we get the `ProgramDesc` message filled in, we can write a transpiler, which translates each invocation to an operator, into a C++ call to a kernel function of that operator. For example, a transpiler that weaves the CUDA kernels outputs an NVIDIA-friendly C++ program, which can be built using `nvcc`. Another transpiler could generate MKL-friendly code that should be built using `icc` from Intel. More interestingly, we can translate a Fluid program into its distributed version of two `ProgramDesc` messages, one for running on the trainer process, and the other one for the parameter server. For more details of the last example, the [concurrent programming design](concurrent_programming.md) document would be a good pointer. The following figure explains the proposed two-stage process: - -![](fluid-compiler.png) diff --git a/doc/design/fluid_compiler.md b/doc/design/fluid_compiler.md new file mode 100644 index 0000000000..2a6beafc52 --- /dev/null +++ b/doc/design/fluid_compiler.md @@ -0,0 +1,110 @@ +# PaddlePaddle Fluid: Towards a Compiled Programming Language + +As described in [fluid.md](fluid.md), when a Fluid application program +runs, it generates a `ProgramDesc` protobuf message as an intermediate +representation of itself. The C++ class `Executor` can run this +protobuf message as an interpreter. This article describes the Fluid +compiler. + +![](fluid-compiler.png) + +## ProgramDesc + +Before we go deeper into the idea of compiled language, let us take a +look at a simple example Fluid application. + +```python +import "fluid" + +func paddlepaddle() { + X = fluid.read(...) + W = fluid.Tensor(...) + Y = fluid.mult(X, W) +} +``` + +This program consists of a [block](block.md) of three operators -- +`read`, `assign`, and `mult`. Its `ProgramDesc` message looks like +the following + +```protobuf +message ProgramDesc { + block[0] = Block { + vars = [X, W, Y], + ops = [ + read(output = X) + assign(input = ..., output = W) + mult(input = {X, W}, output = Y) + ], + } +} +``` + +## Transpilers + +We can write a transpiler program that takes a `ProgramDesc`, e.g., +the above one, and outputs another `ProgramDesc`. Let us take some +examples: + +1. *Memory optimization transpiler*: We can write a transpiler that + inserts some `FreeMemoryOp`s in the above example `ProgramDesc` so + to free memory early, before the end of an iteration, so to keep a + small memory footprint. + +1. *Distributed training transpiler*: We can write a transpiler that + converts a`ProgramDesc` into its distributed version of two + `ProgramDesc`s -- one for running by the trainer processes and the + other for the parameter server. + +In the rest of this article, we talk about a special kind of +transpiler, *Native code generator*, which takes a `ProgramDesc` and +generates a `.cu` (or `.cc`) file, which could be built by C++ +compilers (gcc, nvcc, icc) into binaries. + +## Native Code Generator + +For the above example, the native code generator transpiler, say, the +CUDA code generator, should generate a `main` function: + +```c++ +void main() { + auto X = fluid_cuda_read(...); + auto W = fluid_cuda_create_tensor(...); + auto Y = fluid_cuda_mult(X, W); +} +``` + +and the definitions of functions `fluid_cuda_read`, +`fluid_cuda_create_tensor`, and `fluid_cuda_mult`. Please be aware +that each function could just define a C++ instance of an operator and +run it. For example + +```c++ +paddle::Tensor fluid_cuda_read(...) { + paddle::Tensor t; + paddle::operator::Read r(&t, ...); + r.Run(); + return t; +} +``` + +For computational operators that have multiple *kernels*, each for a +specific hardware platform, for example, the `mult` operator, the +generated code should call its CUDA kernel: + +```c++ +paddle::Tensor fluid_cuda_mult(const paddle::Tensor& a, + const paddle::Tensor& b) { + paddle::Tensor t; + paddle::operator::Mult m(a, b, ...); + Mult.Run(cuda_context); +} +``` + +where `cuda_context` could be a global variable of type +`paddle::CUDADeviceContext`. + +## Multi-Block Code Generation + +Most Fluid application programs may have more than one blocks. To +execute them, we need to trace [scopes](scope.md). diff --git a/doc/design/ops/sequence_decoder.md b/doc/design/ops/sequence_decoder.md index 9db5fb8e9a..c4a9bbeeef 100644 --- a/doc/design/ops/sequence_decoder.md +++ b/doc/design/ops/sequence_decoder.md @@ -22,7 +22,7 @@ The current `LoDTensor` is designed to store levels of variable-length sequences The integers in each level represent the begin and end (not inclusive) offset of a sequence **in the underlying tensor**, let's call this format the **absolute-offset LoD** for clarity. -The relative-offset LoD can retrieve any sequence very quickly but fails to represent empty sequences, for example, a two-level LoD is as follows +The absolute-offset LoD can retrieve any sequence very quickly but fails to represent empty sequences, for example, a two-level LoD is as follows ```python [[0, 3, 9] [0, 2, 3, 3, 3, 9]] @@ -119,7 +119,7 @@ def generate(): encoder_ctx_expanded = pd.lod_expand(encoder_ctx, target_word) decoder_input = pd.fc( act=pd.activation.Linear(), - input=[target_word, encoder_ctx], + input=[target_word, encoder_ctx_expanded], size=3 * decoder_dim) gru_out, cur_mem = pd.gru_step( decoder_input, mem=decoder_mem, size=decoder_dim) diff --git a/doc/design/switch_kernel.md b/doc/design/switch_kernel.md index 1846e5d9f9..9719e031c7 100644 --- a/doc/design/switch_kernel.md +++ b/doc/design/switch_kernel.md @@ -1,21 +1,24 @@ ## Background -Every operator has many kernels because there are multiple data types, places, data layout that Fluid supports. We use the `KernelType` to describe kernel types that operators can hold. +Every operator has many kernels because there are multiple data types, places, data layout, library type that Fluid supports. We use the `OpKernelType ` to describe kernel types that operators can hold. -The `KernelType` is as follows. +The `OpKernelType ` is as follows: -``` -struct KernelType { +```cpp +struct OpKernelType { Place place_; DataType data_type_; - LayoutType layout_; + DataLayout data_layout_; + LibraryType library_type_; }; ``` -The `place_` is a descriptor of the device and the computational library, e.g., `MKLDNNPlace`, `CUDAPlace`. +- The `place_` is a descriptor of the device, e.g., CPUPlace, CUDAPlace. -The `data_type_` is the data type that this kernel performs on, e.g., `FP32`, `INT64`. Note that one kernel may have inputs with different data types. However, it will be a major `data_type`. For example, the `cross_entropy` takes `int64` as it label, and `double`/`float` as its input logit and output cost. The major `data_type` of `cross_entropy` is `float`/`double`. +- The `data_type_` is the data type that this kernel performs on, e.g., `FP32`, `INT64`. Note that one kernel may have inputs with different data types. However, it will be a major `data_type`. For example, the `cross_entropy` takes `int64` as it label, and `double`/`float` as its input logit and output cost. The major `data_type` of `cross_entropy` is `float` or `double`. -The `layout` is useful for some computational library. One example is that MKLDNN uses many kinds of layout, such as `nChw8c`. Each kind of layout will invoke the different kernel. +- The `data_layout_ ` is useful for some computational library. One example is that MKLDNN uses many kinds of layout, such as `nChw8c`. Each kind of layout will invoke the different kernel. + +- The `library_type_` describes the computational library, e.g., `MKLDNN`, `CUDNN`. ## Problem @@ -25,42 +28,72 @@ We register a kernel for every operator and every kernel type ideally. However, 2. Some operators will take too many memory. It is better to force them into CPU. However, the rest of operators in this neural network will be performed on GPU, i.e., model parallel problem. 3. Some layout and place are particular. One example is that MKLDNN uses `nChw8` and there is no other library uses `nChw8c`. -Problems under these situations are similar. We can formalise this problem as follow. +Take one situation to give a detailed explanation, if we have two Operators: OP1 and OP2, OP1 has one output `op1_to_op2`, and `op1_to_op2` is the input of OP2. + +If OP1 and OP2 run on the same place(for example CPUPlace), then `op1_2_op2` can be used directly by OP2. + +``` +OP1(CPUPlace) + | + op1_2_op2 + | +OP2(CPUPlace) +``` + +If OP1 and OP2 run one different place, then OP2 cannot `use op1_2_op2` directly. + +Problems under these situations are similar. We can formalize this problem as follow. We register kernels with types $KT = \{kt_1, kt_2, kt_3, ...\}$ for one operator. The inputs of this operator should be run on kernel type $kt_{?}$, which the $kt_{?} \notin KT$. How to cast the input of this operator from $kt_{?}$ to any of kernel type in $KT$. -## Solution +## Solution: data transform -It is clearly that transforming inputs of an operator toadapt another kernel type is not related to the particular operator. So we should register these transformation methods as global methods. +It is clear that transforming inputs of an operator to adapt another kernel type is not related to the particular operator. So we should register these transformation methods as global methods. -We can infer a kernel type from the inputs of an operators. We let this kernel type as `actual kernel type`, which means this kernel type is the actually kernel type that operator should be performed. +We can infer kernel type for each input of an operator. We let this kernel type as `actual kernel type for var`, which means this kernel type is the kernel type that can process this input variable. We can get a kernel type by 1) The configuration of operator description. (Users may want to force use `MKL` for `conv` operator). 2) The place of the current executor. (Executor is running on GPU). This kernel type is what we expect the operator will be performed on. We let this kernel type as `expect kernel type`. -We transform the input data from `actual` to `expect` if the expect kernel type is not as same as actual kernel type. +We transform the input data from `actual` to `expect` if the actual kernel type is not as same as expect kernel type. -The algorithm is described as follow +The algorithm is described as following ```cpp -using DataTransformationFN = std::function; -using KernelTypePair = std::pair; - -map g_data_transformation_; - -void OpWithKernel::Run() { - vec inputs = ... - auto actual_kernel_type = GetActualKernelType(inputs); - - // The expected kernel type is related to actual kernel type. - // For the most operators, the expected kernel type is as same as - // actual kernel type. - // - // So we pass `actual_kernel_type` as a parameter of - // GetExpectedKernelType - auto expect_kernel_type = GetExpectedKernelType(actual_kernel_type); - - auto trans = g_data_transformation_[{actual_kernel_type, expect_kernel_type}]; - - kernel.run(trans(inputs)); +void OperatorWithKernel::Run( + const Scope& scope, + const platform::Place& place) const { + ExecutionContext ctx(...); + auto expected_kernel_key = this->GetExpectedKernelType(ctx); + + Scope& new_scope = scope.NewScope(); + + for (auto& var_name : this->Inputs()) { + auto* tensor_in = GetTensor(var_name); + auto kernel_type_for_var = this->GetKernelTypeForVar(...); + if (kernel_type_for_var.place_ != expected_kernel_key.place_) { + auto* trans_var = new_scope.Var(var_name); + auto* out = DataTransform(expected_kernel_key, + kernel_type_for_var, + *tensor_in); + CopyVariableWithTensor(...); + } + } + + auto kernel = kernels.find(expected_kernel_key); + kernel->Compute(ExecutionContext(...)); } ``` + +then the actual process for the multi-device above will be: + +``` +OP1(CPUPlace) + | +op1_2_op2(on CPU) + | +[transform](from CPU to GPU) + | +op1_2_op2(on GPU) + | +OP2(CUDAPlace) +``` diff --git a/doc/faq/local/index_cn.rst b/doc/faq/local/index_cn.rst index b331d9d36e..0306b1e5dd 100644 --- a/doc/faq/local/index_cn.rst +++ b/doc/faq/local/index_cn.rst @@ -211,3 +211,49 @@ decoder_inputs = paddle.layer.fc( * list 中元素的个数等于网络中输出层的个数； * list 中每个元素是一个layer的输出结果矩阵，类型是numpy的ndarray； * 每一个layer输出矩阵的高度，在非序列输入时：等于样本数；序列输入时等于：输入序列中元素的总数；宽度等于配置中layer的size； + +6. 如何在训练过程中获得某一个layer的output +----------------------------------------------- + +可以在event_handler中，通过 :code:`event.gm.getLayerOutputs("layer_name")` 获得在模型配置中某一层的name :code:`layer_name` 在当前 +mini-batch forward的output的值。获得的值类型均为 :code:`numpy.ndarray` ，可以通过这个输出来完成自定义的评估指标计算等功能。例如下面代码： + +.. code-block:: python + + def score_diff(right_score, left_score): + return np.average(np.abs(right_score - left_score)) + + def event_handler(event): + if isinstance(event, paddle.event.EndIteration): + if event.batch_id % 25 == 0: + diff = score_diff( + event.gm.getLayerOutputs("right_score")["right_score"][ + "value"], + event.gm.getLayerOutputs("left_score")["left_score"][ + "value"]) + logger.info(("Pass %d Batch %d : Cost %.6f, " + "average absolute diff scores: %.6f") % + (event.pass_id, event.batch_id, event.cost, diff)) + +注意：此方法不能获取 :code:`paddle.layer.recurrent_group` 里step的内容，但可以获取 :code:`paddle.layer.recurrent_group` 的输出。 + +7. 如何在训练过程中获得参数的权重和梯度 +----------------------------------------------- + +在某些情况下，获得当前mini-batch的权重（或称作weights, parameters）有助于在训练时观察具体数值，方便排查以及快速定位问题。 +可以通过在 :code:`event_handler` 中打印其值（注意，需要使用 :code:`paddle.event.EndForwardBackward` 保证使用GPU训练时也可以获得）， +示例代码如下： + +.. code-block:: python + + ... + parameters = paddle.parameters.create(cost) + ... + def event_handler(event): + if isinstance(event, paddle.event.EndForwardBackward): + if event.batch_id % 25 == 0: + for p in parameters.keys(): + logger.info("Param %s, Grad %s", + parameters.get(p), parameters.get_grad(p)) + +注意：“在训练过程中获得某一个layer的output”和“在训练过程中获得参数的权重和梯度”都会造成训练中的数据从C++拷贝到numpy，会对训练性能造成影响。不要在注重性能的训练场景下使用。 \ No newline at end of file diff --git a/doc/faq/local/src/reduce_min_pool_size.py b/doc/faq/local/src/reduce_min_pool_size.py index 96073633d2..9efdb5707a 100644 --- a/doc/faq/local/src/reduce_min_pool_size.py +++ b/doc/faq/local/src/reduce_min_pool_size.py @@ -1,16 +1,18 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + @provider(min_pool_size=0, ...) def process(settings, filename): os.system('shuf %s > %s.shuf' % (filename, filename)) # shuffle before. diff --git a/doc/faq/local/src/word2vec_config.py b/doc/faq/local/src/word2vec_config.py index 03619b2628..b4fcf0960e 100644 --- a/doc/faq/local/src/word2vec_config.py +++ b/doc/faq/local/src/word2vec_config.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + ... # the settings and define data provider is omitted. DICT_DIM = 3000 # dictionary dimension. word_ids = data_layer('word_ids', size=DICT_DIM) diff --git a/doc/faq/local/src/word2vec_dataprovider.py b/doc/faq/local/src/word2vec_dataprovider.py index a439a8f52e..3b6273b057 100644 --- a/doc/faq/local/src/word2vec_dataprovider.py +++ b/doc/faq/local/src/word2vec_dataprovider.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + DICT_DIM = 3000 diff --git a/doc/faq/model/index_cn.rst b/doc/faq/model/index_cn.rst index b47bbe05bd..6947948bc7 100644 --- a/doc/faq/model/index_cn.rst +++ b/doc/faq/model/index_cn.rst @@ -67,3 +67,14 @@ * 不同于上述介绍的recurrent layer , :code:`paddle.networks.lstmemory_unit` 定义了LSTM单元在一个时间步内的计算过程，它并不是一个完整的recurrent layer，也不能接收序列数据作为输入； * :code:`paddle.networks.lstmemory_unit` 只能在recurrent_group中作为step function使用； + +5. PaddlePaddle的softmax能否指定计算的维度 +----------------------------------------- + +PaddlePaddle的softmax不能指定计算维度，只能按行计算。 +在图像任务中，对于NCHW，如果需要在C维度计算softmax，可以先使用 :code:`paddle.layer.switch_order` 改变维度顺序，即将NCHW转换成NHWC，再做一定的reshape，最后计算softmax。 + +6. PaddlePaddle是否支持维数可变的数据输入 +------------------------------------------ + +PaddlePaddle提供的 :code:`paddle.data_type.dense_array` 支持维数可变的数据输入。在使用时，将对应数据层的维数设置成一个大于输入数据维数的值用于占位即可。 diff --git a/doc/getstarted/build_and_install/docker_install_cn.rst b/doc/getstarted/build_and_install/docker_install_cn.rst index bae42593dd..98fada7bdb 100644 --- a/doc/getstarted/build_and_install/docker_install_cn.rst +++ b/doc/getstarted/build_and_install/docker_install_cn.rst @@ -25,14 +25,14 @@ .. code-block:: bash - docker pull docker.paddlepaddle.org/paddle + docker pull docker.paddlepaddlehub.com/paddle 下载GPU版本（cuda8.0_cudnn5_avx_mkl）的Docker镜像： .. code-block:: bash docker pull paddlepaddle/paddle:latest-gpu - docker pull docker.paddlepaddle.org/paddle:latest-gpu + docker pull docker.paddlepaddlehub.com/paddle:latest-gpu 选择下载使用不同的BLAS库的Docker镜像： @@ -49,7 +49,7 @@ docker pull paddlepaddle/paddle:[tag] # 比如： - docker pull docker.paddlepaddle.org/paddle:0.10.0-gpu + docker pull docker.paddlepaddlehub.com/paddle:0.11.0-gpu .. _docker_run: diff --git a/doc/getstarted/build_and_install/docker_install_en.rst b/doc/getstarted/build_and_install/docker_install_en.rst index 56a7c68e4d..b1d0890b4c 100644 --- a/doc/getstarted/build_and_install/docker_install_en.rst +++ b/doc/getstarted/build_and_install/docker_install_en.rst @@ -26,14 +26,14 @@ For users in China, we provide a faster mirror: .. code-block:: bash - docker pull docker.paddlepaddle.org/paddle + docker pull docker.paddlepaddlehub.com/paddle Download GPU version (cuda8.0_cudnn5_avx_mkl) images: .. code-block:: bash docker pull paddlepaddle/paddle:latest-gpu - docker pull docker.paddlepaddle.org/paddle:latest-gpu + docker pull docker.paddlepaddlehub.com/paddle:latest-gpu Choose between different BLAS version: @@ -53,7 +53,7 @@ and run: docker pull paddlepaddle/paddle:[tag] # i.e. - docker pull docker.paddlepaddle.org/paddle:0.10.0-gpu + docker pull docker.paddlepaddlehub.com/paddle:0.11.0-gpu .. _docker_run: diff --git a/doc/getstarted/concepts/src/infer.py b/doc/getstarted/concepts/src/infer.py index ee71cd7a9a..a1b60388c4 100644 --- a/doc/getstarted/concepts/src/infer.py +++ b/doc/getstarted/concepts/src/infer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2 as paddle import numpy as np diff --git a/doc/getstarted/concepts/src/train.py b/doc/getstarted/concepts/src/train.py index d9c0c66b8a..0e5bdb57bc 100644 --- a/doc/getstarted/concepts/src/train.py +++ b/doc/getstarted/concepts/src/train.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2 as paddle import numpy as np diff --git a/doc/howto/dev/new_op_en.md b/doc/howto/dev/new_op_en.md index 7175d8370d..da8b1bdd10 100644 --- a/doc/howto/dev/new_op_en.md +++ b/doc/howto/dev/new_op_en.md @@ -4,7 +4,8 @@ - [Implementing C++ Types](#implementing-c-types) - [Defining ProtoMaker](#defining-protomaker) - [Defining Operator](#defining-operator) - - [Registering Operator](#registering-operator) + - [Defining OpKernel](#defining-opkernel) + - [Registering Operator and OpKernel](#registering-operator-and-opkernel) - [Compilation](#compilation) - [Python Binding](#python-binding) - [Unit Tests](#unit-tests) @@ -16,12 +17,13 @@ Here are the base types needed. For details, please refer to the design docs. -- `framework::OperatorBase`: Operator (Op)base class. -- `framework::OpKernel`: Base class for Op computation. -- `framework::OperatorWithKernel`: Inherited from OperatorBase, describing an operator with computation. - `class OpProtoAndCheckerMaker`: Describes an Operator's input, output, attributes and description, mainly used to interface with Python API. +- `framework::OperatorBase`: Operator (Op)base class. +- `framework::OpKernel`: Base class for Op computation kernel. +- `framework::OperatorWithKernel`: Inherited from OperatorBase, describing an operator with computation kernels. + -An operator can be differentiated by whether in has kernel methods. An operator with kernel inherits from `OperatorWithKernel` while the ones without inherit from `OperatorBase`. This tutorial focuses on implementing operators with kernels. In short, an operator includes the following information: +Operators can be categorized into two groups: operator with kernel(s) and operator without kernel(s). An operator with kernel(s) inherits from `OperatorWithKernel` while the one without kernel(s) inherits from `OperatorBase`. This tutorial focuses on implementing operators with kernels. In short, an operator includes the following information: Information | Where is it defined @@ -32,7 +34,7 @@ Kernel implementation | The kernel methods shared between CPU and CUDA are Registering the Op | Ops are registered in `.cc` files; For Kernel registration, `.cc` files contain the CPU implementation, while `.cu` files contain the CUDA implementation. -New Operator implementations are added to the list [paddle/operators](https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/operators), with file names in the format `*_op.h` (if applicable), `*_op.cc`, `*_op.cu` (if applicable).** The system will use the naming scheme to automatically build operators and their corresponding Python extensions. ** +New Operator implementations are added to the list [paddle/operators](https://github.com/PaddlePaddle/Paddle/tree/develop/paddle/operators), with file names in the format `*_op.h` (if applicable), `*_op.cc`, `*_op.cu` (if applicable).** The system will use the naming scheme to automatically build operators and their corresponding Python extensions.** Let's take matrix multiplication operator, [MulOp](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/mul_op.cc), as an example to introduce the writing of an Operator with Kernel. @@ -156,7 +158,8 @@ Usually `OpProtoMaker` and `Op`'s type definitions are written in `.cc` files, w - `typename T` denotes data type, such as `float` or `double`. `MulKernel` types need to rewrite the interface for `Compute`. -- `Compute` takes one input variable `const framework::ExecutionContext& context`. + +- `Compute` takes one input parameter: `const framework::ExecutionContext& context`. - Compared with `InferShapeContext`, `ExecutionContext` includes device types, and can similarly extract input, output, and attribute variables. - `Compute` implements the computation logics of an `OpKernel`. @@ -177,7 +180,7 @@ Usually `OpProtoMaker` and `Op`'s type definitions are written in `.cc` files, w }; ``` -Note that **different devices (CPU, CUDA)share an Op definition; whether or not they share the same `OpKernel` depends on whether `Compute` calls functions that support both devices.** +Note that **different devices (CPU, CUDA)share one Op definition; whether or not they share the same `OpKernel` depends on whether `Compute` calls functions can support both devices.** `MulOp`'s CPU and CUDA share the same `Kernel`. A non-sharing `OpKernel` example can be seen in [`OnehotCrossEntropyOpKernel`](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/cross_entropy_op.h#L43). @@ -188,13 +191,14 @@ This concludes the forward implementation of an operator. Next its operation and The definition of its corresponding backward operator, if applicable, is similar to that of an forward operator. **Note that a backward operator does not include a `ProtoMaker`**. -### Registering Operator +### Registering Operator and OpKernel - In `.cc` files, register forward and backward operator classes and the CPU kernel. ```cpp namespace ops = paddle::operators; REGISTER_OP(mul, ops::MulOp, ops::MulOpMaker, mul_grad, ops::MulOpGrad); + REGISTER_OP_CPU_KERNEL(mul, ops::MulKernel); REGISTER_OP_CPU_KERNEL(mul_grad, ops::MulGradKernel); @@ -204,6 +208,7 @@ The definition of its corresponding backward operator, if applicable, is similar - `REGISTER_OP` registers the `ops::MulOp` class, type named `mul`, its type `ProtoMaker` is `ops::MulOpMaker`, registering `ops::MulOpGrad` as `mul_grad`. - `REGISTER_OP_WITHOUT_GRADIENT` registers an operator without gradient. + - `REGISTER_OP_CPU_KERNEL` registers `ops::MulKernel` class and specialized template types `paddle::platform::CPUPlace` and `float`, which also registers `ops::MulGradKernel`. @@ -225,6 +230,7 @@ The definition of its corresponding backward operator, if applicable, is similar Run the following commands to compile. ``` +# maybe you need to rerun cmake make mul_op ``` diff --git a/doc/howto/dev/new_op_kernel_en.md b/doc/howto/dev/new_op_kernel_en.md new file mode 100644 index 0000000000..123df0a7ee --- /dev/null +++ b/doc/howto/dev/new_op_kernel_en.md @@ -0,0 +1,121 @@ +## Add Kernels for a New Device + +### Background + +PaddlePaddle Fluid have hundreds of operators. Each operator could have one or more kernels. A kernel is an implementation of the operator for a certain device, which could be a hardware device, e.g., the CUDA GPU, or a library that utilizes a device, e.g., Intel MKL that makes full use of the Xeon CPU. + +[This document](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/howto/dev/new_op_en.md) explains how to add an operator, and its kernels. The kernels of an operator are indexed by a C++ type [`OpKernelType`](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/operator_kernel_type.md). An operator chooses the right kernel at runtime. This choosing mechanism is described [here](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/switch_kernel.md). + +### Write Kernels for A New Device + +#### Add A New Device + + For some historical reaons, we misuse the word *library* for *device*. For example, we call the deivce type by *library type*. An example is the header file [`library_type.h`](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/library_type.h#L24). We will correct this ASAP. + +To register a new device, we need to add an enum value to `LibraryType`: + +``` +enum class LibraryType { + kPlain = 0, + kMKLDNN = 1, + kCUDNN = 2, +}; +``` + + +#### Add A New [Place](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/platform/place.h#L53) + +If you have a new kind of Device, firstly you need to add a new kind of [`Place`](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/platform/place.h#L53). For example `CUDAPlace`: + +```cpp +struct CUDAPlace { + CUDAPlace() : CUDAPlace(0) {} + explicit CUDAPlace(int d) : device(d) {} + + inline int GetDeviceId() const { return device; } + // needed for variant equality comparison + inline bool operator==(const CUDAPlace &o) const { + return device == o.device; + } + inline bool operator!=(const CUDAPlace &o) const { return !(*this == o); } + + int device; +}; + +typedef boost::variant Place; +``` + +#### Add [device context]((https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/platform/device_context.h#L37)) +After a new kind of Device is added, you should add a corresponding [DeviceContext](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/platform/device_context.h#L37) for it. + +```cpp +class DeviceContext { + public: + virtual ~DeviceContext() {} + virtual Place GetPlace() const = 0; + + virtual void Wait() const {} +}; +``` + +#### Implement new [OpKernel](https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/framework/operator.h#L351) for your Device. + +A detailed documentation can be found in [`new_op_and_kernel`](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/howto/dev/new_op_en.md) + +```cpp +class OpKernelBase { + public: + /** + * ExecutionContext is the only parameter of Kernel Run function. + * Run will get input/output variables, state such as momentum and + * device resource such as CUDA stream, cublas handle, etc. from + * ExecutionContext. User should construct it before run the Operator. + */ + + virtual void Compute(const ExecutionContext& context) const = 0; + + virtual ~OpKernelBase() = default; +}; + +template +class OpKernel : public OpKernelBase { + public: + using ELEMENT_TYPE = T; +}; +``` + + +#### Register the OpKernel to framework + +After writing the components described above, we should register the kernel to the framework. + +We use `REGISTER_OP_KERNEL` to do the registration. + +```cpp +REGISTER_OP_KERNEL( + op_type, + library_type, + place_type, + kernel0, kernel1, ...) +``` + +kernel0, kernel1 are kernels that have the same `op_type`, `library_type`, `place_type` but different `data_types`. + +take [`conv2d`]((https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/conv_cudnn_op.cu.cc#L318)) as an example: + + ```cpp + REGISTER_OP_KERNEL(conv2d, CPU, paddle::platform::CPUPlace, + paddle::operators::GemmConvKernel, + paddle::operators::GemmConvKernel); + + REGISTER_OP_KERNEL(conv2d, CUDNN, ::paddle::platform::CUDAPlace, + paddle::operators::CUDNNConvOpKernel, + paddle::operators::CUDNNConvOpKernel); + ``` + +In the code above: + + - `conv2d` is the type/name of the operator + - `CUDNN/CPU` is `library` + - `paddle::platform::CUDAPlace/CPUPlace` is `place` + - template parameter `float/double` on `CUDNNConvOpKernel` is `data_type`. diff --git a/doc/howto/optimization/cpu_profiling.md b/doc/howto/optimization/cpu_profiling.md index 1775374cf6..368af40cc7 100644 --- a/doc/howto/optimization/cpu_profiling.md +++ b/doc/howto/optimization/cpu_profiling.md @@ -60,8 +60,7 @@ each column is as follows: | column | meaning | | --- | --- | | ncalls | the number of calls into a function | -| tottime | the total execution time of the function, not including the - execution time of other functions called by the function | +| tottime | the total execution time of the function, not including the execution time of other functions called by the function | | percall | tottime divided by ncalls | | cumtime | the total execution time of the function, including the execution time of other functions being called | | percall | cumtime divided by ncalls | diff --git a/doc/howto/usage/cluster/fluid_cluster_train_en.md b/doc/howto/usage/cluster/fluid_cluster_train_en.md index 419eac51aa..11904a6f71 100644 --- a/doc/howto/usage/cluster/fluid_cluster_train_en.md +++ b/doc/howto/usage/cluster/fluid_cluster_train_en.md @@ -2,27 +2,27 @@ ## Introduction -In this article, we'll explain how to config and run distributed training jobs with PaddlePaddle Fluid in a bare metal cluster. +In this article, we'll explain how to configure and run distributed training jobs with PaddlePaddle Fluid in a bare metal cluster. ## Preparations -### Get your cluster ready +### Getting the cluster ready -Prepare your computer nodes in the cluster. Nodes in this cluster can be of any specification that runs PaddlePaddle, and with a unique IP address assigned to it. Make sure they can communicate with each other. +Prepare the compute nodes in the cluster. Nodes in this cluster can be of any specification that runs PaddlePaddle, and with a unique IP address assigned to it. Make sure they can communicate to each other. ### Have PaddlePaddle installed PaddlePaddle must be installed on all nodes. If you have GPU cards on your nodes, be sure to properly install drivers and CUDA libraries. -PaddlePaddle build and installation guide can be found from [here](http://www.paddlepaddle.org/docs/develop/documentation/en/getstarted/build_and_install/index_en.html). +PaddlePaddle build and installation guide can be found [here](http://www.paddlepaddle.org/docs/develop/documentation/en/getstarted/build_and_install/index_en.html). -### Update training script +### Update the training script #### Non-cluster training script Let's take [Deep Learning 101](http://www.paddlepaddle.org/docs/develop/book/01.fit_a_line/index.html)'s first chapter: "fit a line" as an example. -This demo's non-cluster version with fluid API is as follows: +The non-cluster version of this demo with fluid API is as follows: ``` python import paddle.v2 as paddle @@ -65,25 +65,25 @@ for pass_id in range(PASS_NUM): exit(1) ``` -We created a simple fully connected neural networks training program and handed it to the fluid executor to run for 100 passes. +We created a simple fully-connected neural network training program and handed it to the fluid executor to run for 100 passes. -Now let's try to convert it to a distributed version to run in a cluster. +Now let's try to convert it to a distributed version to run on a cluster. #### Introducing parameter server -As you see from the non-cluster version of training script, there is only one role in it: the trainer, who does the computing as well as holding parameters. In cluster training, since multi-trainers are working on the same task, they need one centralized place to hold and distribute parameters. This centralized place is called the Parameter Server in PaddlePaddle. +As we can see from the non-cluster version of training script, there is only one role in the script: the trainer, that performs the computing as well as holds the parameters. In cluster training, since multi-trainers are working on the same task, they need one centralized place to hold and distribute parameters. This centralized place is called the Parameter Server in PaddlePaddle. -![parameter server architect](src/trainer.png) +![parameter server architecture](src/trainer.png) -Parameter Server in fluid does not only hold parameters but is also assigned with a part of the program. Trainers communicate with parameter servers via send/receive OPs. For more tech detail, please refer to this [document](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/dist_refactor/distributed_architecture.md). +Parameter Server in fluid not only holds the parameters but is also assigned with a part of the program. Trainers communicate with parameter servers via send/receive OPs. For more technical details, please refer to [this document](https://github.com/PaddlePaddle/Paddle/blob/develop/doc/design/dist_refactor/distributed_architecture.md). -Now we need to create program for both trainers and parameter servers, the question is how? +Now we need to create programs for both: trainers and parameter servers, the question is how? #### Slice the program -Fluid provides a tool called "Distribute Transpiler" to automatically convert the non-cluster program into cluster program. +Fluid provides a tool called "Distributed Transpiler" that automatically converts the non-cluster program into cluster program. -The idea behind this tool is to find optimize OPs and gradient parameters, slice the program into 2 pieces and connect them with send/receive OP. +The idea behind this tool is to find the optimize OPs and gradient parameters, slice the program into 2 pieces and connect them with send/receive OP. Optimize OPs and gradient parameters can be found from the return values of optimizer's minimize function. @@ -94,16 +94,18 @@ To put them together: optimize_ops, params_grads = sgd_optimizer.minimize(avg_cost) #get optimize OPs and gradient parameters -t = fluid.DistributeTranspiler() # create transpiler instance +t = fluid.DistributeTranspiler() # create the transpiler instance # slice the program into 2 pieces with optimizer_ops and gradient parameters list, as well as pserver_endpoints, which is a comma separated list of [IP:PORT] and number of trainers -t.transpile(optimize_ops, params_grads, pservers=pserver_endpoints, trainers=2) +t.transpile(optimize_ops, params_grads, pservers=pserver_endpoints, trainers=2) ... #create executor # in pserver, run this -exe.run(fluid.default_startup_program()) #current_endpoint here means current pserver IP:PORT you wish to run on -exe.run(t.get_pserver_program(current_endpoint, optimize_ops)) +pserver_prog = t.get_pserver_program(current_endpoint) +pserver_startup = t.get_startup_program(current_endpoint, pserver_prog) +exe.run(pserver_startup) +exe.run(pserver_prog) # in trainer, run this ... # define data reader @@ -117,7 +119,7 @@ for pass_id in range(100): ### E2E demo -Please find the complete demo from [here](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/fluid/tests/book_distribute/notest_dist_fit_a_line.py). In parameter server node run this in the command line: +Please find the complete demo from [here](https://github.com/PaddlePaddle/Paddle/blob/develop/python/paddle/v2/fluid/tests/book_distribute/notest_dist_fit_a_line.py). In parameter server node run the following in the command line: ``` bash PSERVERS=192.168.1.2:6174 SERVER_ENDPOINT=192.168.1.2:6174 TRAINING_ROLE=PSERVER python notest_dist_fit_a_line.py @@ -127,12 +129,12 @@ PSERVERS=192.168.1.2:6174 SERVER_ENDPOINT=192.168.1.2:6174 TRAINING_ROLE=PSERVER Wait until the prompt `Server listening on 192.168.1.2:6174` -Then in 2 of your trainer node run this: +Then in 2 of your trainer nodes run this: ``` bash PSERVERS=192.168.1.2:6174 SERVER_ENDPOINT=192.168.1.2:6174 TRAINING_ROLE=TRAINER python notest_dist_fit_a_line.py ``` -*the reason you need to run this command twice in 2 nodes is: in the script we set the trainer count to be 2. You can change this setting on line 50* +*the reason you need to run this command twice in 2 nodes is because: in the script we set the trainer count to be 2. You can change this setting on line 50* Now you have 2 trainers and 1 parameter server up and running. diff --git a/doc/howto/usage/cluster/src/k8s_train/start_paddle.py b/doc/howto/usage/cluster/src/k8s_train/start_paddle.py index 1774f8b640..935c12bb67 100755 --- a/doc/howto/usage/cluster/src/k8s_train/start_paddle.py +++ b/doc/howto/usage/cluster/src/k8s_train/start_paddle.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/python # Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved # diff --git a/doc/howto/usage/cluster/src/word2vec/api_train_v2.py b/doc/howto/usage/cluster/src/word2vec/api_train_v2.py index d449e02023..9a65f14628 100644 --- a/doc/howto/usage/cluster/src/word2vec/api_train_v2.py +++ b/doc/howto/usage/cluster/src/word2vec/api_train_v2.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import gzip import math diff --git a/doc/howto/usage/cluster/src/word2vec/api_train_v2_cluster.py b/doc/howto/usage/cluster/src/word2vec/api_train_v2_cluster.py index a5dd347f0b..2afce9a66e 100644 --- a/doc/howto/usage/cluster/src/word2vec/api_train_v2_cluster.py +++ b/doc/howto/usage/cluster/src/word2vec/api_train_v2_cluster.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import math import os import paddle.v2 as paddle diff --git a/doc/howto/usage/cluster/src/word2vec/prepare.py b/doc/howto/usage/cluster/src/word2vec/prepare.py index 24f5c5b26d..ade01c378e 100644 --- a/doc/howto/usage/cluster/src/word2vec/prepare.py +++ b/doc/howto/usage/cluster/src/word2vec/prepare.py @@ -1,3 +1,17 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2 as paddle import tarfile import os diff --git a/doc/v1_api_tutorials/README.md b/doc/v1_api_tutorials/README.md deleted file mode 100644 index 071b8da61f..0000000000 --- a/doc/v1_api_tutorials/README.md +++ /dev/null @@ -1,5 +0,0 @@ -The tutorials in v1_api_tutorials are using v1_api currently, and will be upgraded to v2_api later. -Thus, v1_api_tutorials is a temporary directory. We decide not to maintain it and will delete it in future. - -Please go to [PaddlePaddle/book](https://github.com/PaddlePaddle/book) and -[PaddlePaddle/models](https://github.com/PaddlePaddle/models) to learn PaddlePaddle. diff --git a/doc/v1_api_tutorials/embedding_model/index_cn.md b/doc/v1_api_tutorials/embedding_model/index_cn.md deleted file mode 100644 index 2b4a79fbbf..0000000000 --- a/doc/v1_api_tutorials/embedding_model/index_cn.md +++ /dev/null @@ -1,139 +0,0 @@ -# 中文词向量模型的使用 # ----------- -本文档介绍如何在PaddlePaddle平台上,使用预训练的标准格式词向量模型。 - -在此感谢 @lipeng 提出的代码需求，并给出的相关模型格式的定义。 - -## 介绍 ### -### 中文字典 ### -我们的字典使用内部的分词工具对百度知道和百度百科的语料进行分词后产生。分词风格如下： "《红楼梦》"将被分为 "《"，"红楼梦"，"》"，和 "《红楼梦》"。字典采用UTF8编码，输出有2列：词本身和词频。字典共包含 3206326个词和4个特殊标记： - - ``: 分词序列的开始 - - ``: 分词序列的结束 - - `PALCEHOLDER_JUST_IGNORE_THE_EMBEDDING`: 占位符，没有实际意义 - - ``: 未知词 - -### 中文词向量的预训练模型 ### -遵循文章 [A Neural Probabilistic Language Model](http://www.jmlr.org/papers/volume3/bengio03a/bengio03a.pdf)中介绍的方法，模型采用 n-gram 语言模型，结构如下图：6元上下文作为输入层->全连接层->softmax层 。对应于字典，我们预训练得到4种不同维度的词向量，分别为：32维、64维、128维和256维。 -
![](./neural-n-gram-model.png)
-
Figure 1. neural-n-gram-model
- -### 下载和数据抽取 ### -运行以下的命令下载和获取我们的字典和预训练模型： - - cd $PADDLE_ROOT/demo/model_zoo/embedding - ./pre_DictAndModel.sh - -## 中文短语改写的例子 ## -以下示范如何使用预训练的中文字典和词向量进行短语改写。 - -### 数据的准备和预处理 ### -首先，运行以下的命令下载数据集。该数据集（utf8编码）包含20个训练样例，5个测试样例和2个生成式样例。 - - cd $PADDLE_ROOT/demo/seqToseq/data - ./paraphrase_data.sh - -第二步，将数据处理成规范格式，在训练数集上训练生成词向量字典（数据将保存在 `$PADDLE_SOURCE_ROOT/demo/seqToseq/data/pre-paraphrase`）: - - cd $PADDLE_ROOT/demo/seqToseq/ - python preprocess.py -i data/paraphrase [--mergeDict] - -- 其中，如果使用`--mergeDict`选项，源语言短语和目标语言短语的字典将被合并（源语言和目标语言共享相同的编码字典）。本实例中，源语言和目标语言都是相同的语言，因此可以使用该选项。 - - -### 使用用户指定的词向量字典 ### -使用如下命令，从预训练模型中，根据用户指定的字典，抽取对应的词向量构成新的词表: - cd $PADDLE_ROOT/demo/model_zoo/embedding - python extract_para.py --preModel PREMODEL --preDict PREDICT --usrModel USRMODEL--usrDict USRDICT -d DIM - -- `--preModel PREMODEL`: 预训练词向量字典模型的路径 -- `--preDict PREDICT`: 预训练模型使用的字典的路径 -- `--usrModel USRMODEL`: 抽取出的新词表的保存路径 -- `--usrDict USRDICT`: 用户指定新的字典的路径，用于构成新的词表 -- `-d DIM`: 参数（词向量）的维度 - -此处，你也可以简单的运行以下的命令： - - cd $PADDLE_ROOT/demo/seqToseq/data/ - ./paraphrase_model.sh - -运行成功以后，你将会看到以下的模型结构： - - paraphrase_model - |--- _source_language_embedding - |--- _target_language_embedding - -### 在PaddlePaddle平台训练模型 ### -首先，配置模型文件，配置如下（可以参考保存在 `demo/seqToseq/paraphrase/train.conf`的配置）: - - from seqToseq_net import * - is_generating = False - - ################## Data Definition ##################### - train_conf = seq_to_seq_data(data_dir = "./data/pre-paraphrase", - job_mode = job_mode) - - ############## Algorithm Configuration ################## - settings( - learning_method = AdamOptimizer(), - batch_size = 50, - learning_rate = 5e-4) - - ################# Network configure ##################### - gru_encoder_decoder(train_conf, is_generating, word_vector_dim = 32) - -这个配置与`demo/seqToseq/translation/train.conf` 基本相同 - -然后，使用以下命令进行模型训练: - - cd $PADDLE_SOURCE_ROOT/demo/seqToseq/paraphrase - ./train.sh - -其中，`train.sh` 与`demo/seqToseq/translation/train.sh` 基本相同，只有2个配置不一样: - -- `--init_model_path`: 初始化模型的路径配置为`data/paraphrase_modeldata/paraphrase_model` -- `--load_missing_parameter_strategy`：如果参数模型文件缺失，除词向量模型外的参数将使用正态分布随机初始化 - -如果用户想要了解详细的数据集的格式、模型的结构和训练过程，请查看 [Text generation Tutorial](../text_generation/index_cn.md). - -## 可选功能 ## -### 观测词向量 -PaddlePaddle 平台为想观测词向量的用户提供了将二进制词向量模型转换为文本模型的功能: - - cd $PADDLE_ROOT/demo/model_zoo/embedding - python paraconvert.py --b2t -i INPUT -o OUTPUT -d DIM - -- `-i INPUT`: 输入的（二进制）词向量模型名称 -- `-o OUTPUT`: 输出的文本模型名称 -- `-d DIM`: （词向量）参数维度 - -运行完以上命令，用户可以在输出的文本模型中看到: - - 0,4,32156096 - -0.7845433,1.1937413,-0.1704215,0.4154715,0.9566584,-0.5558153,-0.2503305, ...... - 0.0000909,0.0009465,-0.0008813,-0.0008428,0.0007879,0.0000183,0.0001984, ...... - ...... - -- 其中，第一行是`PaddlePaddle` 输出文件的格式说明，包含3个属性：: - - `PaddlePaddle`的版本号，本例中为0 - - 浮点数占用的字节数，本例中为4 - - 总计的参数个数，本例中为32,156,096 -- 其余行是（词向量）参数行（假设词向量维度为32） - - 每行打印32个参数以','分隔 - - 共有32,156,096/32 = 1,004,877行，也就是说，模型共包含1,004,877个被向量化的词 - -### 词向量模型的修正 -`PaddlePaddle` 为想修正词向量模型的用户提供了将文本词向量模型转换为二进制模型的命令: - - cd $PADDLE_ROOT/demo/model_zoo/embedding - python paraconvert.py --t2b -i INPUT -o OUTPUT - -- `-i INPUT`: 输入的文本词向量模型名称 -- `-o OUTPUT`: 输出的二进制词向量模型名称 - -请注意，输入的文本格式如下: - - -0.7845433,1.1937413,-0.1704215,0.4154715,0.9566584,-0.5558153,-0.2503305, ...... - 0.0000909,0.0009465,-0.0008813,-0.0008428,0.0007879,0.0000183,0.0001984, ...... - ...... -- 输入文本中没有头部（格式说明）行 -- （输入文本）每行存储一个词，以逗号','分隔 diff --git a/doc/v1_api_tutorials/embedding_model/index_en.md b/doc/v1_api_tutorials/embedding_model/index_en.md deleted file mode 100644 index 9525f64f9b..0000000000 --- a/doc/v1_api_tutorials/embedding_model/index_en.md +++ /dev/null @@ -1,140 +0,0 @@ -# Chinese Word Embedding Model Tutorial # ----------- -This tutorial is to guide you through the process of using a Pretrained Chinese Word Embedding Model in the PaddlePaddle standard format. - -We thank @lipeng for the pull request that defined the model schemas and pretrained the models. - -## Introduction ### -### Chinese Word Dictionary ### -Our Chinese-word dictionary is created on Baidu ZhiDao and Baidu Baike by using in-house word segmentor. For example, the participle of "《红楼梦》" is "《"，"红楼梦"，"》"，and "《红楼梦》". Our dictionary (using UTF-8 format) has has two columns: word and its frequency. The total word count is 3206326, including 4 special token: - - ``: the start of a sequence - - ``: the end of a sequence - - `PALCEHOLDER_JUST_IGNORE_THE_EMBEDDING`: a placeholder, just ignore it and its embedding - - ``: a word not included in dictionary - -### Pretrained Chinese Word Embedding Model ### -Inspired by paper [A Neural Probabilistic Language Model](http://www.jmlr.org/papers/volume3/bengio03a/bengio03a.pdf), our model architecture (**Embedding joint of six words->FullyConnect->SoftMax**) is as following graph. And for our dictionary, we pretrain four models with different word vector dimenstions, i.e 32, 64, 128, 256. -
![](./neural-n-gram-model.png)
-
Figure 1. neural-n-gram-model
- -### Download and Extract ### -To download and extract our dictionary and pretrained model, run the following commands. - - cd $PADDLE_ROOT/demo/model_zoo/embedding - ./pre_DictAndModel.sh - -## Chinese Paraphrasing Example ## -We provide a paraphrasing task to show the usage of pretrained Chinese Word Dictionary and Embedding Model. - -### Data Preparation and Preprocess ### - -First, run the following commands to download and extract the in-house dataset. The dataset (using UTF-8 format) has 20 training samples, 5 testing samples and 2 generating samples. - - cd $PADDLE_ROOT/demo/seqToseq/data - ./paraphrase_data.sh - -Second, preprocess data and build dictionary on train data by running the following commands, and the preprocessed dataset is stored in `$PADDLE_SOURCE_ROOT/demo/seqToseq/data/pre-paraphrase`: - - cd $PADDLE_ROOT/demo/seqToseq/ - python preprocess.py -i data/paraphrase [--mergeDict] - -- `--mergeDict`: if using this option, the source and target dictionary are merged, i.e, two dictionaries have the same context. Here, as source and target data are all chinese words, this option can be used. - -### User Specified Embedding Model ### -The general command of extracting desired parameters from the pretrained embedding model based on user dictionary is: - - cd $PADDLE_ROOT/demo/model_zoo/embedding - python extract_para.py --preModel PREMODEL --preDict PREDICT --usrModel USRMODEL--usrDict USRDICT -d DIM - -- `--preModel PREMODEL`: the name of pretrained embedding model -- `--preDict PREDICT`: the name of pretrained dictionary -- `--usrModel USRMODEL`: the name of extracted embedding model -- `--usrDict USRDICT`: the name of user specified dictionary -- `-d DIM`: dimension of parameter - -Here, you can simply run the command: - - cd $PADDLE_ROOT/demo/seqToseq/data/ - ./paraphrase_model.sh - -And you will see following embedding model structure: - - paraphrase_model - |--- _source_language_embedding - |--- _target_language_embedding - -### Training Model in PaddlePaddle ### -First, create a model config file, see example `demo/seqToseq/paraphrase/train.conf`: - - from seqToseq_net import * - is_generating = False - - ################## Data Definition ##################### - train_conf = seq_to_seq_data(data_dir = "./data/pre-paraphrase", - job_mode = job_mode) - - ############## Algorithm Configuration ################## - settings( - learning_method = AdamOptimizer(), - batch_size = 50, - learning_rate = 5e-4) - - ################# Network configure ##################### - gru_encoder_decoder(train_conf, is_generating, word_vector_dim = 32) - -This config is almost the same as `demo/seqToseq/translation/train.conf`. - -Then, train the model by running the command: - - cd $PADDLE_SOURCE_ROOT/demo/seqToseq/paraphrase - ./train.sh - -where `train.sh` is almost the same as `demo/seqToseq/translation/train.sh`, the only difference is following two command arguments: - -- `--init_model_path`: path of the initialization model, here is `data/paraphrase_model` -- `--load_missing_parameter_strategy`: operations when model file is missing, here use a normal distibution to initialize the other parameters except for the embedding layer - -For users who want to understand the dataset format, model architecture and training procedure in detail, please refer to [Text generation Tutorial](../text_generation/index_en.md). - -## Optional Function ## -### Embedding Parameters Observation -For users who want to observe the embedding parameters, this function can convert a PaddlePaddle binary embedding model to a text model by running the command: - - cd $PADDLE_ROOT/demo/model_zoo/embedding - python paraconvert.py --b2t -i INPUT -o OUTPUT -d DIM - -- `-i INPUT`: the name of input binary embedding model -- `-o OUTPUT`: the name of output text embedding model -- `-d DIM`: the dimension of parameter - -You will see parameters like this in output text model: - - 0,4,32156096 - -0.7845433,1.1937413,-0.1704215,0.4154715,0.9566584,-0.5558153,-0.2503305, ...... - 0.0000909,0.0009465,-0.0008813,-0.0008428,0.0007879,0.0000183,0.0001984, ...... - ...... - -- 1st line is **PaddlePaddle format file head**, it has 3 attributes: - - version of PaddlePaddle, here is 0 - - sizeof(float), here is 4 - - total number of parameter, here is 32156096 -- Other lines print the paramters (assume `` = 32) - - each line print 32 paramters splitted by ',' - - there is 32156096/32 = 1004877 lines, meaning there is 1004877 embedding words - -### Embedding Parameters Revision -For users who want to revise the embedding parameters, this function can convert a revised text embedding model to a PaddlePaddle binary model by running the command: - - cd $PADDLE_ROOT/demo/model_zoo/embedding - python paraconvert.py --t2b -i INPUT -o OUTPUT - -- `-i INPUT`: the name of input text embedding model. -- `-o OUTPUT`: the name of output binary embedding model - -Note that the format of input text model is as follows: - - -0.7845433,1.1937413,-0.1704215,0.4154715,0.9566584,-0.5558153,-0.2503305, ...... - 0.0000909,0.0009465,-0.0008813,-0.0008428,0.0007879,0.0000183,0.0001984, ...... - ...... -- there is no file header in 1st line -- each line stores parameters for one word, the separator is commas ',' diff --git a/doc/v1_api_tutorials/embedding_model/neural-n-gram-model.png b/doc/v1_api_tutorials/embedding_model/neural-n-gram-model.png deleted file mode 100644 index f70b765b3f..0000000000 Binary files a/doc/v1_api_tutorials/embedding_model/neural-n-gram-model.png and /dev/null differ diff --git a/doc/v1_api_tutorials/gan/gan.png b/doc/v1_api_tutorials/gan/gan.png deleted file mode 100644 index 0eafd7cb49..0000000000 Binary files a/doc/v1_api_tutorials/gan/gan.png and /dev/null differ diff --git a/doc/v1_api_tutorials/gan/index_en.md b/doc/v1_api_tutorials/gan/index_en.md deleted file mode 100644 index ac9ed37b22..0000000000 --- a/doc/v1_api_tutorials/gan/index_en.md +++ /dev/null @@ -1,137 +0,0 @@ -# Generative Adversarial Networks (GAN) - -This demo implements GAN training described in the original [GAN paper](https://arxiv.org/abs/1406.2661) and deep convolutional generative adversarial networks [DCGAN paper](https://arxiv.org/abs/1511.06434). - -The high-level structure of GAN is shown in Figure. 1 below. It is composed of two major parts: a generator and a discriminator, both of which are based on neural networks. The generator takes in some kind of noise with a known distribution and transforms it into an image. The discriminator takes in an image and determines whether it is artificially generated by the generator or a real image. So the generator and the discriminator are in a competitive game in which generator is trying to generate image to look as real as possible to fool the discriminator, while the discriminator is trying to distinguish between real and fake images. - -
![](./gan.png)
-

- Figure 1. GAN-Model-Structure - figure credit -

- -The generator and discriminator take turn to be trained using SGD. The objective function of the generator is for its generated images being classified as real by the discriminator, and the objective function of the discriminator is to correctly classify real and fake images. When the GAN model is trained to converge to the equilibrium state, the generator will transform the given noise distribution to the distribution of real images, and the discriminator will not be able to distinguish between real and fake images at all. - -## Implementation of GAN Model Structure -Since GAN model involves multiple neural networks, it requires to use paddle python API. So the code walk-through below can also partially serve as an introduction to the usage of Paddle Python API. - -There are three networks defined in gan_conf.py, namely **generator_training**, **discriminator_training** and **generator**. The relationship to the model structure we defined above is that **discriminator_training** is the discriminator, **generator** is the generator, and the **generator_training** combined the generator and discriminator since training generator would require the discriminator to provide loss function. This relationship is described in the following code: -```python -if is_generator_training: - noise = data_layer(name="noise", size=noise_dim) - sample = generator(noise) - -if is_discriminator_training: - sample = data_layer(name="sample", size=sample_dim) - -if is_generator_training or is_discriminator_training: - label = data_layer(name="label", size=1) - prob = discriminator(sample) - cost = cross_entropy(input=prob, label=label) - classification_error_evaluator( - input=prob, label=label, name=mode + '_error') - outputs(cost) - -if is_generator: - noise = data_layer(name="noise", size=noise_dim) - outputs(generator(noise)) -``` - -In order to train the networks defined in gan_conf.py, one first needs to initialize a Paddle environment, parse the config, create GradientMachine from the config and create trainer from GradientMachine as done in the code chunk below: -```python -import py_paddle.swig_paddle as api -# init paddle environment -api.initPaddle('--use_gpu=' + use_gpu, '--dot_period=10', - '--log_period=100', '--gpu_id=' + args.gpu_id, - '--save_dir=' + "./%s_params/" % data_source) - -# Parse config -gen_conf = parse_config(conf, "mode=generator_training,data=" + data_source) -dis_conf = parse_config(conf, "mode=discriminator_training,data=" + data_source) -generator_conf = parse_config(conf, "mode=generator,data=" + data_source) - -# Create GradientMachine -dis_training_machine = api.GradientMachine.createFromConfigProto( -dis_conf.model_config) -gen_training_machine = api.GradientMachine.createFromConfigProto( -gen_conf.model_config) -generator_machine = api.GradientMachine.createFromConfigProto( -generator_conf.model_config) - -# Create trainer -dis_trainer = api.Trainer.create(dis_conf, dis_training_machine) -gen_trainer = api.Trainer.create(gen_conf, gen_training_machine) -``` - -In order to balance the strength between generator and discriminator, we schedule to train whichever one is performing worse by comparing their loss function value. The loss function value can be calculated by a forward pass through the GradientMachine. -```python -def get_training_loss(training_machine, inputs): - outputs = api.Arguments.createArguments(0) - training_machine.forward(inputs, outputs, api.PASS_TEST) - loss = outputs.getSlotValue(0).copyToNumpyMat() - return numpy.mean(loss) -``` - -After training one network, one needs to sync the new parameters to the other networks. The code below demonstrates one example of such use case: -```python -# Train the gen_training -gen_trainer.trainOneDataBatch(batch_size, data_batch_gen) - -# Copy the parameters from gen_training to dis_training and generator -copy_shared_parameters(gen_training_machine, -dis_training_machine) -copy_shared_parameters(gen_training_machine, generator_machine) -``` - - -## A Toy Example -With the infrastructure explained above, we can now walk you through a toy example of generating two dimensional uniform distribution using 10 dimensional Gaussian noise. - -The Gaussian noises are generated using the code below: -```python -def get_noise(batch_size, noise_dim): - return numpy.random.normal(size=(batch_size, noise_dim)).astype('float32') -``` - -The real samples (2-D uniform) are generated using the code below: -```python -# synthesize 2-D uniform data in gan_trainer.py:114 -def load_uniform_data(): - data = numpy.random.rand(1000000, 2).astype('float32') - return data -``` - -The generator and discriminator network are built using fully-connected layer and batch_norm layer, and are defined in gan_conf.py. - -To train the GAN model, one can use the command below. The flag -d specifies the training data (cifar, mnist or uniform) and flag --useGpu specifies whether to use gpu for training (0 is cpu, 1 is gpu). -```bash -$python gan_trainer.py -d uniform --useGpu 1 -``` -The generated samples can be found in ./uniform_samples/ and one example is shown below as Figure 2. One can see that it roughly recovers the 2D uniform distribution. - -
![](./uniform_sample.png)
-

- Figure 2. Uniform Sample -

- -## MNIST Example -### Data preparation -To download the MNIST data, one can use the following commands: -```bash -$cd data/ -$./get_mnist_data.sh -``` - -### Model description -Following the DC-Gan paper (https://arxiv.org/abs/1511.06434), we use convolution/convolution-transpose layer in the discriminator/generator network to better deal with images. The details of the network structures are defined in gan_conf_image.py. - -### Training the model -To train the GAN model on mnist data, one can use the following command: -```bash -$python gan_trainer.py -d mnist --useGpu 1 -``` -The generated sample images can be found at ./mnist_samples/ and one example is shown below as Figure 3. -
![](./mnist_sample.png)
-

- Figure 3. MNIST Sample -

diff --git a/doc/v1_api_tutorials/gan/mnist_sample.png b/doc/v1_api_tutorials/gan/mnist_sample.png deleted file mode 100644 index f9c7bf7ddd..0000000000 Binary files a/doc/v1_api_tutorials/gan/mnist_sample.png and /dev/null differ diff --git a/doc/v1_api_tutorials/gan/uniform_sample.png b/doc/v1_api_tutorials/gan/uniform_sample.png deleted file mode 100644 index e716c48e78..0000000000 Binary files a/doc/v1_api_tutorials/gan/uniform_sample.png and /dev/null differ diff --git a/doc/v1_api_tutorials/imagenet_model/resnet_block.jpg b/doc/v1_api_tutorials/imagenet_model/resnet_block.jpg deleted file mode 100644 index e16bd3c624..0000000000 Binary files a/doc/v1_api_tutorials/imagenet_model/resnet_block.jpg and /dev/null differ diff --git a/doc/v1_api_tutorials/imagenet_model/resnet_model_cn.md b/doc/v1_api_tutorials/imagenet_model/resnet_model_cn.md deleted file mode 100644 index 82ec9d70b3..0000000000 --- a/doc/v1_api_tutorials/imagenet_model/resnet_model_cn.md +++ /dev/null @@ -1,284 +0,0 @@ -# Model Zoo - ImageNet # - -[ImageNet](http://www.image-net.org/) 是通用物体分类领域一个众所周知的数据库。本教程提供了一个用于ImageNet上的卷积分类网络模型。 - -## ResNet 介绍 - -论文 [Deep Residual Learning for Image Recognition](http://arxiv.org/abs/1512.03385) 中提出的ResNet网络结构在2015年ImageNet大规模视觉识别竞赛(ILSVRC 2015)的分类任务中赢得了第一名。他们提出残差学习的框架来简化网络的训练，所构建网络结构的的深度比之前使用的网络有大幅度的提高。下图展示的是基于残差的连接方式。左图构造网络模块的方式被用于34层的网络中，而右图的瓶颈连接模块用于50层，101层和152层的网络结构中。 - -
![resnet_block](./resnet_block.jpg)
-
图 1. ResNet 网络模块
- -本教程中我们给出了三个ResNet模型，这些模型都是由原作者提供的模型转换过来的。我们使用PaddlePaddle在ILSVRC的验证集共50,000幅图像上测试了模型的分类错误率，其中输入图像的颜色通道顺序为**BGR**，保持宽高比缩放到短边为256，只截取中心方形的图像区域。分类错误率和模型大小由下表给出。 -
- ----- - - - - - - - - - - - - - - - - - - - - - - - - - - -
ResNetTop-1Model Size
ResNet-5024.9%99M
ResNet-10123.7%173M
ResNet-15223.2%234M
-
- -## ResNet 模型 - -50层，101层和152层的网络配置文件可参照```demo/model_zoo/resnet/resnet.py```。你也可以通过在命令行参数中增加一个参数如```--config_args=layer_num=50```来指定网络层的数目。 - -### 网络可视化 - -你可以通过执行下面的命令来得到ResNet网络的结构可视化图。该脚本会生成一个dot文件，然后可以转换为图片。需要安装graphviz来转换dot文件为图片。 - -``` -cd demo/model_zoo/resnet -./net_diagram.sh -``` - -### 模型下载 - -``` -cd demo/model_zoo/resnet -./get_model.sh -``` -你可以执行上述命令来下载所有的模型和均值文件，如果下载成功，这些文件将会被保存在```demo/model_zoo/resnet/model```路径下。 - -``` -mean_meta_224 resnet_101 resnet_152 resnet_50 -``` - * resnet_50: 50层网络模型。 - * resnet_101: 101层网络模型。 - * resnet_152: 152层网络模型。 - * mean\_meta\_224: 均值图像文件，图像大小为3 x 224 x 224，颜色通道顺序为**BGR**。你也可以使用这三个值: 103.939, 116.779, 123.68。 - -### 参数信息 - -* **卷积层权重** - - 由于每个卷积层后面连接的是batch normalization层，因此该层中没有偏置(bias)参数，并且只有一个权重。 - 形状: `(Co, ky, kx, Ci)` - * Co: 输出特征图的通道数目 - * ky: 滤波器核在垂直方向上的尺寸 - * kx: 滤波器核在水平方向上的尺寸 - * Ci: 输入特征图的通道数目 - - 二维矩阵: (Co * ky * kx, Ci), 行优先次序存储。 - -* **全连接层权重** - - 二维矩阵: (输入层尺寸, 本层尺寸), 行优先次序存储。 - -* **[Batch Normalization]() 层权重** - -本层有四个参数，实际上只有.w0和.wbias是需要学习的参数，另外两个分别是滑动均值和方差。在测试阶段它们将会被加载到模型中。下表展示了batch normalization层的参数。 -
- ----- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
参数名尺寸含义
_res2_1_branch1_bn.w0256gamma, 缩放参数
_res2_1_branch1_bn.w1256特征图均值
_res2_1_branch1_bn.w2256特征图方差
_res2_1_branch1_bn.wbias256beta, 偏置参数
-
- -### 参数读取 - -使用者可以使用下面的Python脚本来读取参数值: - -``` -import sys -import numpy as np - -def load(file_name): - with open(file_name, 'rb') as f: - f.read(16) # skip header for float type. - return np.fromfile(f, dtype=np.float32) - -if __name__=='__main__': - weight = load(sys.argv[1]) -``` - -或者直接使用下面的shell命令: - -``` -od -j 16 -f _res2_1_branch1_bn.w0 -``` - -## 特征提取 - -我们提供了C++和Python接口来提取特征。下面的例子使用了`demo/model_zoo/resnet/example`中的数据，详细地展示了整个特征提取的过程。 - -### C++接口 - -首先，在配置文件中的`define_py_data_sources2`里指定图像数据列表，具体请参照示例`demo/model_zoo/resnet/resnet.py`。 - -``` - train_list = 'train.list' if not is_test else None - # mean.meta is mean file of ImageNet dataset. - # mean.meta size : 3 x 224 x 224. - # If you use three mean value, set like: - # "mean_value:103.939,116.779,123.68;" - args={ - 'mean_meta': "model/mean_meta_224/mean.meta", - 'image_size': 224, 'crop_size': 224, - 'color': True,'swap_channel:': [2, 1, 0]} - define_py_data_sources2(train_list, - 'example/test.list', - module="example.image_list_provider", - obj="processData", - args=args) -``` - -第二步，在`resnet.py`文件中指定要提取特征的网络层的名字。例如， - -``` -Outputs("res5_3_branch2c_conv", "res5_3_branch2c_bn") -``` - -第三步，在`extract_fea_c++.sh`文件中指定模型路径和输出的目录，然后执行下面的命令。 - -``` -cd demo/model_zoo/resnet -./extract_fea_c++.sh -``` - -如果执行成功，特征将会存到`fea_output/rank-00000`文件中，如下所示。同时你可以使用`load_feature.py`文件中的`load_feature_c`接口来加载该文件。 - -``` --0.115318 -0.108358 ... -0.087884;-1.27664 ... -1.11516 -2.59123; --0.126383 -0.116248 ... -0.00534909;-1.42593 ... -1.04501 -1.40769; -``` - -* 每行存储的是一个样本的特征。其中，第一行存的是图像`example/dog.jpg`的特征，第二行存的是图像`example/cat.jpg`的特征。 -* 不同层的特征由分号`;`隔开，并且它们的顺序与`Outputs()`中指定的层顺序一致。这里，左边是`res5_3_branch2c_conv`层的特征，右边是`res5_3_branch2c_bn`层特征。 - -### Python接口 - -示例`demo/model_zoo/resnet/classify.py`中展示了如何使用Python来提取特征。下面的例子同样使用了`./example/test.list`中的数据。执行的命令如下： - -``` -cd demo/model_zoo/resnet -./extract_fea_py.sh -``` - -extract_fea_py.sh: - -``` -python classify.py \ - --job=extract \ - --conf=resnet.py\ - --use_gpu=1 \ - --mean=model/mean_meta_224/mean.meta \ - --model=model/resnet_50 \ - --data=./example/test.list \ - --output_layer="res5_3_branch2c_conv,res5_3_branch2c_bn" \ - --output_dir=features - -``` -* \--job=extract: 指定工作模式来提取特征。 -* \--conf=resnet.py: 网络配置文件。 -* \--use_gpu=1: 指定是否使用GPU。 -* \--model=model/resnet_50: 模型路径。 -* \--data=./example/test.list: 数据列表。 -* \--output_layer="xxx,xxx": 指定提取特征的层。 -* \--output_dir=features: 输出目录。 - -如果运行成功，你将会看到特征存储在`features/batch_0`文件中，该文件是由cPickle产生的。你可以使用`load_feature.py`中的`load_feature_py`接口来打开该文件，它将返回如下的字典： - -``` -{ -'cat.jpg': {'res5_3_branch2c_conv': array([[-0.12638293, -0.116248 , -0.11883899, ..., -0.00895038, 0.01994277, -0.00534909]], dtype=float32), 'res5_3_branch2c_bn': array([[-1.42593431, -1.28918779, -1.32414699, ..., -1.45933616, -1.04501402, -1.40769434]], dtype=float32)}, -'dog.jpg': {'res5_3_branch2c_conv': array([[-0.11531784, -0.10835785, -0.08809858, ...,0.0055237, 0.01505112, -0.08788397]], dtype=float32), 'res5_3_branch2c_bn': array([[-1.27663755, -1.18272924, -0.90937918, ..., -1.25178063, -1.11515927, -2.59122872]], dtype=float32)} -} -``` - -仔细观察，这些特征值与上述使用C++接口提取的结果是一致的。 - -## 预测 - -`classify.py`文件也可以用于对样本进行预测。我们提供了一个示例脚本`predict.sh`，它使用50层的ResNet模型来对`example/test.list`中的数据进行预测。 - -``` -cd demo/model_zoo/resnet -./predict.sh -``` - -predict.sh调用了`classify.py`: - -``` -python classify.py \ - --job=predict \ - --conf=resnet.py\ - --multi_crop \ - --model=model/resnet_50 \ - --use_gpu=1 \ - --data=./example/test.list -``` -* \--job=extract: 指定工作模型进行预测。 -* \--conf=resnet.py: 网络配置文件。network configure. -* \--multi_crop: 使用10个裁剪图像块，预测概率取平均。 -* \--use_gpu=1: 指定是否使用GPU。 -* \--model=model/resnet_50: 模型路径。 -* \--data=./example/test.list: 数据列表。 - -如果运行成功，你将会看到如下结果，其中156和285是这些图像的分类标签。 - -``` -Label of example/dog.jpg is: 156 -Label of example/cat.jpg is: 282 -``` diff --git a/doc/v1_api_tutorials/imagenet_model/resnet_model_en.md b/doc/v1_api_tutorials/imagenet_model/resnet_model_en.md deleted file mode 100644 index 478ad06193..0000000000 --- a/doc/v1_api_tutorials/imagenet_model/resnet_model_en.md +++ /dev/null @@ -1,284 +0,0 @@ -# Model Zoo - ImageNet # - -[ImageNet](http://www.image-net.org/) is a popular dataset for generic object classification. This tutorial provides convolutional neural network(CNN) models for ImageNet. - -## ResNet Introduction - -ResNets from paper [Deep Residual Learning for Image Recognition](http://arxiv.org/abs/1512.03385) won the 1st place on the ILSVRC 2015 classification task. They present residual learning framework to ease the training of networks that are substantially deeper than those used previously. The residual connections are shown in following figure. The left building block is used in network of 34 layers and the right bottleneck building block is used in network of 50, 101, 152 layers . - -
![resnet_block](./resnet_block.jpg)
-
Figure 1. ResNet Block
- -We present three ResNet models, which are converted from the models provided by the authors . The classfication errors tested in PaddlePaddle on 50,000 ILSVRC validation set with input images channel order of **BGR** by single scale with the shorter side of 256 and single crop as following table. -
- ----- - - - - - - - - - - - - - - - - - - - - - - - - - - -
ResNetTop-1Model Size
ResNet-5024.9%99M
ResNet-10123.7%173M
ResNet-15223.2%234M
-
- -## ResNet Model - -See ```demo/model_zoo/resnet/resnet.py```. This config contains network of 50, 101 and 152 layers. You can specify layer number by adding argument like ```--config_args=layer_num=50``` in command line arguments. - -### Network Visualization - -You can get a diagram of ResNet network by running the following commands. The script generates dot file and then converts dot file to PNG file, which needs to install graphviz to convert. - -``` -cd demo/model_zoo/resnet -./net_diagram.sh -``` - -### Model Download - -``` -cd demo/model_zoo/resnet -./get_model.sh -``` -You can run above command to download all models and mean file and save them in ```demo/model_zoo/resnet/model``` if downloading successfully. - -``` -mean_meta_224 resnet_101 resnet_152 resnet_50 -``` - * resnet_50: model of 50 layers. - * resnet_101: model of 101 layers. - * resnet_152: model of 152 layers. - * mean\_meta\_224: mean file with 3 x 224 x 224 size in **BGR** order. You also can use three mean values: 103.939, 116.779, 123.68. - -### Parameter Info - -* **Convolution Layer Weight** - - As batch normalization layer is connected after each convolution layer, there is no parameter of bias and only one weight in this layer. - shape: `(Co, ky, kx, Ci)` - * Co: channle number of output feature map. - * ky: filter size in vertical direction. - * kx: filter size in horizontal direction. - * Ci: channle number of input feature map. - - 2-Dim matrix: (Co * ky * kx, Ci), saved in row-major order. - -* **Fully connected Layer Weight** - - 2-Dim matrix: (input layer size, this layer size), saved in row-major order. - -* **[Batch Normalization]() Layer Weight** - -There are four parameters in this layer. In fact, only .w0 and .wbias are the learned parameters. The other two are therunning mean and variance respectively. They will be loaded in testing. Following table shows parameters of a batch normzalization layer. -
- ----- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Parameter NameNumberMeaning
_res2_1_branch1_bn.w0256gamma, scale parameter
_res2_1_branch1_bn.w1256mean value of feature map
_res2_1_branch1_bn.w2256variance of feature map
_res2_1_branch1_bn.wbias256beta, shift parameter
-
- -### Parameter Observation - -Users who want to observe the parameters can use Python to read: - -``` -import sys -import numpy as np - -def load(file_name): - with open(file_name, 'rb') as f: - f.read(16) # skip header for float type. - return np.fromfile(f, dtype=np.float32) - -if __name__=='__main__': - weight = load(sys.argv[1]) -``` - -or simply use following shell command: - -``` -od -j 16 -f _res2_1_branch1_bn.w0 -``` - -## Feature Extraction - -We provide both C++ and Python interfaces to extract features. The following examples use data in `demo/model_zoo/resnet/example` to show the extracting process in detail. - -### C++ Interface - -First, specify image data list in `define_py_data_sources2` in the config, see example `demo/model_zoo/resnet/resnet.py`. - -``` - train_list = 'train.list' if not is_test else None - # mean.meta is mean file of ImageNet dataset. - # mean.meta size : 3 x 224 x 224. - # If you use three mean value, set like: - # "mean_value:103.939,116.779,123.68;" - args={ - 'mean_meta': "model/mean_meta_224/mean.meta", - 'image_size': 224, 'crop_size': 224, - 'color': True,'swap_channel:': [2, 1, 0]} - define_py_data_sources2(train_list, - 'example/test.list', - module="example.image_list_provider", - obj="processData", - args=args) -``` - -Second, specify layers to extract features in `Outputs()` of `resnet.py`. For example, - -``` -Outputs("res5_3_branch2c_conv", "res5_3_branch2c_bn") -``` - -Third, specify model path and output directory in `extract_fea_c++.sh`, and then run the following commands. - -``` -cd demo/model_zoo/resnet -./extract_fea_c++.sh -``` - -If successful, features are saved in `fea_output/rank-00000` as follows. And you can use `load_feature_c` interface in `load_feature.py ` to load such a file. - -``` --0.115318 -0.108358 ... -0.087884;-1.27664 ... -1.11516 -2.59123; --0.126383 -0.116248 ... -0.00534909;-1.42593 ... -1.04501 -1.40769; -``` - -* Each line stores features of a sample. Here, the first line stores features of `example/dog.jpg` and second line stores features of `example/cat.jpg`. -* Features of different layers are splitted by `;`, and their order is consistent with the layer order in `Outputs()`. Here, the left features are `res5_3_branch2c_conv` layer and right features are `res5_3_branch2c_bn` layer. - -### Python Interface - -`demo/model_zoo/resnet/classify.py` is an example to show how to use Python to extract features. Following example still uses data of `./example/test.list`. Command is as follows: - -``` -cd demo/model_zoo/resnet -./extract_fea_py.sh -``` - -extract_fea_py.sh: - -``` -python classify.py \ - --job=extract \ - --conf=resnet.py\ - --use_gpu=1 \ - --mean=model/mean_meta_224/mean.meta \ - --model=model/resnet_50 \ - --data=./example/test.list \ - --output_layer="res5_3_branch2c_conv,res5_3_branch2c_bn" \ - --output_dir=features - -``` -* \--job=extract: specify job mode to extract feature. -* \--conf=resnet.py: network configure. -* \--use_gpu=1: speficy GPU mode. -* \--model=model/resnet_5: model path. -* \--data=./example/test.list: data list. -* \--output_layer="xxx,xxx": specify layers to extract features. -* \--output_dir=features: output diretcoty. - -If run successfully, you will see features saved in `features/batch_0`, this file is produced with cPickle. You can use `load_feature_py` interface in `load_feature.py` to open the file, and it returns a dictionary as follows: - -``` -{ -'cat.jpg': {'res5_3_branch2c_conv': array([[-0.12638293, -0.116248 , -0.11883899, ..., -0.00895038, 0.01994277, -0.00534909]], dtype=float32), 'res5_3_branch2c_bn': array([[-1.42593431, -1.28918779, -1.32414699, ..., -1.45933616, -1.04501402, -1.40769434]], dtype=float32)}, -'dog.jpg': {'res5_3_branch2c_conv': array([[-0.11531784, -0.10835785, -0.08809858, ...,0.0055237, 0.01505112, -0.08788397]], dtype=float32), 'res5_3_branch2c_bn': array([[-1.27663755, -1.18272924, -0.90937918, ..., -1.25178063, -1.11515927, -2.59122872]], dtype=float32)} -} -``` - -Observed carefully, these feature values are consistent with the above results extracted by C++ interface. - -## Prediction - -`classify.py` also can be used to predict. We provide an example script `predict.sh` to predict data in `example/test.list` using a ResNet model with 50 layers. - -``` -cd demo/model_zoo/resnet -./predict.sh -``` - -predict.sh calls the `classify.py`: - -``` -python classify.py \ - --job=predict \ - --conf=resnet.py\ - --multi_crop \ - --model=model/resnet_50 \ - --use_gpu=1 \ - --data=./example/test.list -``` -* \--job=extract: speficy job mode to predict. -* \--conf=resnet.py: network configure. -* \--multi_crop: use 10 crops and average predicting probability. -* \--use_gpu=1: speficy GPU mode. -* \--model=model/resnet_50: model path. -* \--data=./example/test.list: data list. - -If run successfully, you will see following results, where 156 and 285 are labels of the images. - -``` -Label of example/dog.jpg is: 156 -Label of example/cat.jpg is: 282 -``` diff --git a/doc/v1_api_tutorials/quick_start/index_cn.rst b/doc/v1_api_tutorials/quick_start/index_cn.rst deleted file mode 100644 index d565fcf95e..0000000000 --- a/doc/v1_api_tutorials/quick_start/index_cn.rst +++ /dev/null @@ -1,397 +0,0 @@ -============= -快速入门教程 -============= - -我们将以 `文本分类问题 `_ 为例, -介绍PaddlePaddle的基本使用方法。 - -安装 -==== - -请参考 :ref:`install_steps` 安装PaddlePaddle。 - -使用概述 -======== - -**文本分类问题**：对于给定的一条文本，我们从提前给定的类别集合中选择其所属类别。 - -比如, 在购物网站上，通过查看买家对某个产品的评价反馈, 评估该产品的质量。 - -- 这个显示器很棒！ （好评） -- 用了两个月之后这个显示器屏幕碎了。（差评） - -使用PaddlePaddle, 每一个任务流程都可以被划分为如下五个步骤。 - - .. image:: src/Pipeline_cn.jpg - :align: center - :scale: 80% - -1. 数据格式准备 - - 本例每行保存一条样本，类别Id和文本信息用 ``Tab`` 间隔，文本中的单词用空格分隔（如果不切词，则字与字之间用空格分隔），例如：``类别Id '\t' 这 个 显 示 器 很 棒 ！`` -2. 向系统传送数据 - - PaddlePaddle可以执行用户的python脚本程序来读取各种格式的数据文件。 - - 本例的所有字符都将转换为连续整数表示的Id传给模型。 -3. 描述网络结构和优化算法 - - 本例由易到难展示4种不同的文本分类网络配置：逻辑回归模型，词向量模型，卷积模型，时序模型。 - - 常用优化算法包括Momentum, RMSProp，AdaDelta，AdaGrad，Adam，Adamax等，本例采用Adam优化方法，加了L2正则和梯度截断。 -4. 训练模型 -5. 应用模型 - -数据格式准备 ------------- - -接下来我们将展示如何用PaddlePaddle训练一个文本分类模型，将 `Amazon电子产品评论数据 `_ 分为好评(正样本)和差评(负样本)两种类别。 -`源代码 `_ 的 ``demo/quick_start`` 目录里提供了该数据的下载脚本和预处理脚本，你只需要在命令行输入以下命令，就能够很方便的完成数据下载和相应的预处理工作。 - -.. code-block:: bash - - cd demo/quick_start - ./data/get_data.sh - ./preprocess.sh - -数据预处理完成之后，通过配置类似于 ``dataprovider_*.py`` 的数据读取脚本和类似于 ``trainer_config.*.py`` 的训练模型脚本，PaddlePaddle将以设置参数的方式来设置 -相应的数据读取脚本和训练模型脚本。接下来，我们将对这两个步骤给出了详细的解释，你也可以先跳过本文的解释环节，直接进入训练模型章节, 使用 ``sh train.sh`` 开始训练模型， -查看`train.sh`内容，通过 **自底向上法** (bottom-up approach)来帮助你理解PaddlePaddle的内部运行机制。 - - -向系统传送数据 -============== - -Python脚本读取数据 ------------------- - -`DataProvider` 是PaddlePaddle负责提供数据的模块，主要职责在于将训练数据传入内存或者显存，让模型能够得到训练更新，其包括两个函数： - -* initializer：PaddlePaddle会在调用读取数据的Python脚本之前，先调用initializer函数。在下面例子里，我们在initialzier函数里初始化词表，并且在随后的读取数据过程中填充词表。 -* process：PaddlePaddle调用process函数来读取数据。每次读取一条数据后，process函数会用yield语句输出这条数据，从而能够被PaddlePaddle 捕获 (harvest)。 - -``dataprovider_bow.py`` 文件给出了完整例子： - -.. literalinclude:: ../../../demo/quick_start/dataprovider_bow.py - :language: python - :lines: 21-70 - :linenos: - :emphasize-lines: 8,33 - -详细内容请参见 :ref:`api_dataprovider` 。 - -配置中的数据加载定义 --------------------- - -在模型配置中通过 ``define_py_data_sources2`` 接口来加载数据： - -.. literalinclude:: ../../../demo/quick_start/trainer_config.emb.py - :language: python - :lines: 19-35 - :linenos: - :emphasize-lines: 12 - - -以下是对上述数据加载的解释： - -- data/train.list,data/test.list: 指定训练数据和测试数据 -- module="dataprovider_bow": 处理数据的Python脚本文件 -- obj="process": 指定生成数据的函数 -- args={"dictionary": word_dict}: 额外的参数，这里指定词典 - -更详细数据格式和用例请参考 :ref:`api_pydataprovider2` 。 - -模型网络结构 -============ - -本小节我们将介绍模型网络结构。 - - .. image:: src/PipelineNetwork_cn.jpg - :align: center - :scale: 80% - - -我们将以最基本的逻辑回归网络作为起点，并逐渐展示更加深入的功能。更详细的网络配置连接请参考 :ref:`api_trainer_config_helpers_layers` 。 -所有配置都能在 `源代码 `_ 的 ``demo/quick_start`` 目录下找到。 - -逻辑回归模型 ------------- - -具体流程如下: - - .. image:: src/NetLR_cn.jpg - :align: center - :scale: 80% - -- 获取利用 `one-hot vector `_ 表示的每个单词，维度是词典大小 - - .. code-block:: python - - word = data_layer(name="word", size=word_dim) - -- 获取该条样本类别Id，维度是类别个数。 - - .. code-block:: python - - label = data_layer(name="label", size=label_dim) - -- 利用逻辑回归模型对该向量进行分类，同时会计算分类准确率 - - .. code-block:: python - - # Define a fully connected layer with logistic activation (also called softmax activation). - output = fc_layer(input=word, - size=label_dim, - act_type=SoftmaxActivation()) - # Define cross-entropy classification loss and error. - classification_cost(input=output, label=label) - - - - input: 除去data层，每个层都有一个或多个input,多个input以list方式输入 - - size: 该层神经元个数 - - act_type: 激活函数类型 - -**效果总结**：我们将在后面介绍训练和预测流程的脚本。在此为方便对比不同网络结构，我们总结了各个网络的复杂度和效果。 - - ===================== =============================== ================= - 网络名称 参数数量 错误率 - ===================== =============================== ================= - 逻辑回归 252 KB 8.652 % - ===================== =============================== ================= - -词向量模型 ----------- - -embedding模型需要稍微改变提供数据的Python脚本，即 ``dataprovider_emb.py``，词向量模型、 -卷积模型、时序模型均使用该脚本。其中文本输入类型定义为整数时序类型integer_value_sequence。 - -.. code-block:: python - - def initializer(settings, dictionary, **kwargs): - settings.word_dict = dictionary - settings.input_types = [ - # Define the type of the first input as sequence of integer. - # The value of the integers range from 0 to len(dictrionary)-1 - integer_value_sequence(len(dictionary)), - # Define the second input for label id - integer_value(2)] - - @provider(init_hook=initializer) - def process(settings, file_name): - ... - # omitted, it is same as the data provider for LR model - -该模型依然使用逻辑回归分类网络的框架， 只是将句子用连续向量表示替换为用稀疏向量表示， 即对第三步进行替换。句子表示的计算更新为两步： - -.. image:: src/NetContinuous_cn.jpg - :align: center - :scale: 80% - -- 利用单词Id查找该单词对应的连续向量(维度为word_dim)， 输入N个单词，输出为N个word_dim维度向量 - - .. code-block:: python - - emb = embedding_layer(input=word, size=word_dim) - -- 将该句话包含的所有单词向量求平均, 得到句子的表示 - - .. code-block:: python - - avg = pooling_layer(input=emb, pooling_type=AvgPooling()) - -其它部分和逻辑回归网络结构一致。 - -**效果总结：** - - ===================== =============================== ================== - 网络名称 参数数量 错误率 - ===================== =============================== ================== - 词向量模型 15 MB 8.484 % - ===================== =============================== ================== - -卷积模型 ------------ - -卷积网络是一种特殊的从词向量表示到句子表示的方法， 也就是将词向量模型进一步演化为三个新步骤。 - -.. image:: src/NetConv_cn.jpg - :align: center - :scale: 80% - -文本卷积分可为三个步骤: - -1. 首先，从每个单词左右两端分别获取k个相邻的单词, 拼接成一个新的向量； - -2. 其次，对该向量进行非线性变换(例如Sigmoid变换), 使其转变为维度为hidden_dim的新向量； - -3. 最后，对整个新向量集合的每一个维度取最大值来表示最后的句子。 - -这三个步骤可配置为: - -.. code-block:: python - - text_conv = sequence_conv_pool(input=emb, - context_start=k, - context_len=2 * k + 1) - -**效果总结：** - - ===================== =============================== ======================== - 网络名称 参数数量 错误率 - ===================== =============================== ======================== - 卷积模型 16 MB 5.628 % - ===================== =============================== ======================== - -时序模型 ----------- - -.. image:: src/NetRNN_cn.jpg - :align: center - :scale: 80% - -时序模型，也称为RNN模型, 包括简单的 `RNN模型 `_, `GRU模型 `_ 和 `LSTM模型 `_ 等等。 - -- GRU模型配置： - - .. code-block:: python - - gru = simple_gru(input=emb, size=gru_size) - - -- LSTM模型配置： - - .. code-block:: python - - lstm = simple_lstm(input=emb, size=lstm_size) - -本次试验，我们采用单层LSTM模型，并使用了Dropout，**效果总结：** - - ===================== =============================== ========================= - 网络名称 参数数量 错误率 - ===================== =============================== ========================= - 时序模型 16 MB 4.812 % - ===================== =============================== ========================= - -优化算法 -========= - -`优化算法 `_ 包括 -Momentum, RMSProp，AdaDelta，AdaGrad，ADAM，Adamax等，这里采用Adam优化方法，同时使用了L2正则(L2 Regularization)和梯度截断(Gradient Clipping)。 - -.. code-block:: python - - settings(batch_size=128, - learning_rate=2e-3, - learning_method=AdamOptimizer(), - regularization=L2Regularization(8e-4), - gradient_clipping_threshold=25) - -训练模型 -========= - -在数据加载和网络配置完成之后， 我们就可以训练模型了。 - -.. image:: src/PipelineTrain_cn.jpg - :align: center - :scale: 80% - -训练模型，我们只需要运行 ``train.sh`` 训练脚本： - - .. code-block:: bash - - ./train.sh - -``train.sh`` 中包含了训练模型的基本命令。训练时所需设置的主要参数如下： - - .. code-block:: bash - - paddle train \ - --config=trainer_config.py \ - --log_period=20 \ - --save_dir=./output \ - --num_passes=15 \ - --use_gpu=false - -这里只简单介绍了单机训练，如何进行分布式训练，请参考 :ref:`cluster_train` 。 - -预测 -===== - -当模型训练好了之后，我们就可以进行预测了。 - -.. image:: src/PipelineTest_cn.jpg - :align: center - :scale: 80% - -之前配置文件中 ``test.list`` 指定的数据将会被测试，这里直接通过预测脚本 ``predict.sh`` 进行预测, -更详细的说明，请参考 :ref:`api_swig_py_paddle` 。 - - .. code-block:: bash - - model="output/pass-00003" - paddle train \ - --config=trainer_config.lstm.py \ - --use_gpu=false \ - --job=test \ - --init_model_path=$model \ - --config_args=is_predict=1 \ - --predict_output_dir=. \ - - mv rank-00000 result.txt - -这里以 ``output/pass-00003`` 为例进行预测，用户可以根据训练日志，选择测试结果最好的模型来预测。 - -预测结果以文本的形式保存在 ``result.txt`` 中，一行为一个样本，格式如下： - - .. code-block:: bash - - 预测ID;ID为0的概率 ID为1的概率 - 预测ID;ID为0的概率 ID为1的概率 - -总体效果总结 -============== - -在 ``/demo/quick_start`` 目录下，能够找到这里使用的所有数据, 网络配置, 训练脚本等等。 -对于Amazon-Elec测试集(25k), 如下表格，展示了上述网络模型的训练效果: - - ===================== =============================== ============= ================================== - 网络名称 参数数量 错误率 配置文件 - ===================== =============================== ============= ================================== - 逻辑回归模型 252 KB 8.652% trainer_config.lr.py - 词向量模型 15 MB 8.484% trainer_config.emb.py - 卷积模型 16 MB 5.628% trainer_config.cnn.py - 时序模型 16 MB 4.812% trainer_config.lstm.py - ===================== =============================== ============= ================================== - - -附录 -===== - -命令行参数 ----------- - -* \--config：网络配置 -* \--save_dir：模型存储路径 -* \--log_period：每隔多少batch打印一次日志 -* \--num_passes：训练轮次，一个pass表示过一遍所有训练样本 -* \--config_args：命令指定的参数会传入网络配置中。 -* \--init_model_path：指定初始化模型路径，可用在测试或训练时指定初始化模型。 - -默认一个pass保存一次模型，也可以通过saving_period_by_batches设置每隔多少batch保存一次模型。 -可以通过show_parameter_stats_period设置打印参数信息等。 -其他参数请参考 命令行参数文档（链接待补充）。 - -输出日志 ---------- - -.. code-block:: bash - - TrainerInternal.cpp:160] Batch=20 samples=2560 AvgCost=0.628761 CurrentCost=0.628761 Eval: classification_error_evaluator=0.304297 CurrentEval: classification_error_evaluator=0.304297 - -模型训练会看到类似上面这样的日志信息，详细的参数解释，请参考如下表格： - - =========================================== ============================================================== - 名称 解释 - =========================================== ============================================================== - Batch=20 表示过了20个batch - samples=2560 表示过了2560个样本 - AvgCost 每个pass的第0个batch到当前batch所有样本的平均cost - CurrentCost 当前log_period个batch所有样本的平均cost - Eval: classification_error_evaluator 每个pass的第0个batch到当前batch所有样本的平均分类错误率 - CurrentEval: classification_error_evaluator 当前log_period个batch所有样本的平均分类错误率 - =========================================== ============================================================== diff --git a/doc/v1_api_tutorials/quick_start/index_en.md b/doc/v1_api_tutorials/quick_start/index_en.md deleted file mode 100644 index ca110431cf..0000000000 --- a/doc/v1_api_tutorials/quick_start/index_en.md +++ /dev/null @@ -1,562 +0,0 @@ -# Quick Start - -This tutorial will teach the basics of deep learning (DL), including how to implement many different models in PaddlePaddle. You will learn how to: - - Prepare data into the standardized format that PaddlePaddle accepts. - - Write data providers that read data into PaddlePaddle. - - Configure neural networks in PaddlePaddle layer by layer. - - Train models. - - Perform inference with trained models. - - -## Install - -To get started, please install PaddlePaddle on your computer. Throughout this tutorial, you will learn by implementing different DL models for text classification. - -To install PaddlePaddle, please follow the instructions here: Build and Install. - -## Overview -For the first step, you will use PaddlePaddle to build a **text classification** system. For example, suppose you run an e-commence website, and you want to analyze the sentiment of user reviews to evaluate product quality. - -For example, given the input - -``` -This monitor is fantastic. -``` - -Your classifier should output “positive”, since this text snippet shows that the user is satisfied with the product. Given this input: - -``` -The monitor breaks down two months after purchase. -``` - -the classifier should output “negative“. - -To build your text classification system, your code will need to perform five steps: -
![](./src/Pipeline_en.jpg)
- - - Preprocess data into a standardized format. - - Provide data to the learning model. - - Specify the neural network structure. - - Train the model. - - Inference (make prediction on test examples). - - -1. Preprocess data into standardized format - - In the text classification example, you will start with a text file with one training example per line. Each line contains category id (in machine learning, often denoted the target y), followed by the input text (often denoted x); these two elements are separated by a Tab. For example: ```positive [tab] This monitor is fantastic```. You will preprocess this raw data into a format that Paddle can use. - -2. Provide data to the learning model. - - You can write data providers in Python. For any required data preprocessing step, you can add the preprocessing code to the PyDataProvider Python file. - - In our text classification example, every word or character will be converted into an integer id, specified in a dictionary file. It perform a dictionary lookup in PyDataProvider to get the id. -3. Specify neural network structure. (From easy to hard, we provide 4 kinds of network configurations) - - A logistic regression model. - - A word embedding model. - - A convolutional neural network model. - - A sequential recurrent neural network model. - - You will also learn different learning algorithms. -4. Training model. -5. Inference. - -## Preprocess data into standardized format -In this example, you are going to use [Amazon electronic product review dataset](http://jmcauley.ucsd.edu/data/amazon/) to build a bunch of deep neural network models for text classification. Each text in this dataset is a product review. This dataset has two categories: “positive” and “negative”. Positive means the reviewer likes the product, while negative means the reviewer does not like the product. - -`demo/quick_start` in the [source code](https://github.com/PaddlePaddle/Paddle) provides script for downloading the preprocessed data as shown below. (If you want to process the raw data, you can use the script `demo/quick_start/data/proc_from_raw_data/get_data.sh`). - -```bash -cd demo/quick_start -./data/get_data.sh -``` - -## Transfer Data to Model -### Write Data Provider with Python -The following `dataprovider_bow.py` gives a complete example of writing data provider with Python. It includes the following parts: - -* initalizer： define the additional meta-data of the data provider and the types of the input data. -* process： Each `yield` returns a data sample. In this case, it return the text representation and category id. The order of features in the returned result needs to be consistent with the definition of the input types in `initalizer`. - -```python -from paddle.trainer.PyDataProvider2 import * - -# id of the word not in dictionary -UNK_IDX = 0 - -# initializer is called by the framework during initialization. -# It allows the user to describe the data types and setup the -# necessary data structure for later use. -# `settings` is an object. initializer need to properly fill settings.input_types. -# initializer can also store other data structures needed to be used at process(). -# In this example, dictionary is stored in settings. -# `dictionay` and `kwargs` are arguments passed from trainer_config.lr.py -def initializer(settings, dictionary, **kwargs): - # Put the word dictionary into settings - settings.word_dict = dictionary - - # setting.input_types specifies what the data types the data provider - # generates. - settings.input_types = [ - # The first input is a sparse_binary_vector, - # which means each dimension of the vector is either 0 or 1. It is the - # bag-of-words (BOW) representation of the texts. - sparse_binary_vector(len(dictionary)), - # The second input is an integer. It represents the category id of the - # sample. 2 means there are two labels in the dataset. - # (1 for positive and 0 for negative) - integer_value(2)] - -# Delaring a data provider. It has an initializer 'data_initialzer'. -# It will cache the generated data of the first pass in memory, so that -# during later pass, no on-the-fly data generation will be needed. -# `setting` is the same object used by initializer() -# `file_name` is the name of a file listed train_list or test_list file given -# to define_py_data_sources2(). See trainer_config.lr.py. -@provider(init_hook=initializer, cache=CacheType.CACHE_PASS_IN_MEM) -def process(settings, file_name): - # Open the input data file. - with open(file_name, 'r') as f: - # Read each line. - for line in f: - # Each line contains the label and text of the comment, separated by \t. - label, comment = line.strip().split('\t') - - # Split the words into a list. - words = comment.split() - - # convert the words into a list of ids by looking them up in word_dict. - word_vector = [settings.word_dict.get(w, UNK_IDX) for w in words] - - # Return the features for the current comment. The first is a list - # of ids representing a 0-1 binary sparse vector of the text, - # the second is the integer id of the label. - yield word_vector, int(label) -``` - -### Define Python Data Provider in Configuration files. -You need to add a data provider definition `define_py_data_sources2` in our network configuration. This definition specifies: - -- The path of the training and testing data (`data/train.list`, `data/test.list`). -- The location of the data provider file (`dataprovider_bow`). -- The function to call to get data. (`process`). -- Additional arguments or data. Here it passes the path of word dictionary. - -```python -from paddle.trainer_config_helpers import * - -file = "data/dict.txt" -word_dict = dict() -with open(dict_file, 'r') as f: - for i, line in enumerate(f): - w = line.strip().split()[0] - word_dict[w] = i -# define the data sources for the model. -# We need to use different process for training and prediction. -# For training, the input data includes both word IDs and labels. -# For prediction, the input data only includs word Ids. -define_py_data_sources2(train_list='data/train.list', - test_list='data/test.list', - module="dataprovider_bow", - obj="process", - args={"dictionary": word_dict}) -``` -You can refer to the following link for more detailed examples and data formats: PyDataProvider2. - -## Network Architecture -We will describe four kinds of network architectures in this section. -
![](./src/PipelineNetwork_en.jpg)
- -First, you will build a logistic regression model. Later, you will also get chance to build other more powerful network architectures. -For more detailed documentation, you could refer to: layer documentation. All configuration files are in `demo/quick_start` directory. - -### Logistic Regression -The architecture is illustrated in the following picture: -
![](./src/NetLR_en.png)
- -- You need define the data for text features. The size of the data layer is the number of words in the dictionary. - -```python -word = data_layer(name="word", size=voc_dim) -``` - -- You also need to define the category id for each example. The size of the data layer is the number of labels. - -```python -label = data_layer(name="label", size=label_dim) -``` - -- It uses logistic regression model to classify the vector, and it will output the classification error during training. - - Each layer has an *input* argument that specifies its input layer. Some layers can have multiple input layers. You can use a list of the input layers as input in that case. - - *size* for each layer means the number of neurons of the layer. - - *act_type* means activation function applied to the output of each neuron independently. - - Some layers can have additional special inputs. For example, `classification_cost` needs ground truth label as input to compute classification loss and error. -```python -# Define a fully connected layer with logistic activation (also called softmax activation). -output = fc_layer(input=word, - size=label_dim, - act_type=SoftmaxActivation()) -# Define cross-entropy classification loss and error. -classification_cost(input=output, label=label) -``` - -Performance summary: You can refer to the training and testing scripts later. In order to compare different network architectures, the model complexity and test classification error are listed in the following table: - - -
- - - - - - - - - - - - - - - - - -
Network nameNumber of parametersTest error
Logistic regression252 KB8.652%
- -
- -### Word Embedding Model -In order to use the word embedding model, you need to change the data provider a little bit to make the input words as a sequence of word IDs. The revised data provider `dataprovider_emb.py` is listed below. You only need to change initializer() for the type of the first input. It is changed from sparse_binary_vector to sequence of intergers. process() remains the same. This data provider can also be used for later sequence models. - -```python -def initializer(settings, dictionary, **kwargs): - # Put the word dictionary into settings - settings.word_dict = dictionary - settings.input_types = [ - # Define the type of the first input as a sequence of integers. - integer_value_sequence(len(dictionary)), - # Define the second input for label id - integer_value(2)] - -@provider(init_hook=initializer) -def process(settings, file_name): - ... - # omitted, it is same as the data provider for LR model -``` - -This model is very similar to the framework of logistic regression, but it uses word embedding vectors instead of a sparse vectors to represent words. -
![](./src/NetContinuous_en.png)
- -- It can look up the dense word embedding vector in the dictionary (its words embedding vector is `word_dim`). The input is a sequence of N words, the output is N word_dim dimensional vectors. - -```python -emb = embedding_layer(input=word, dim=word_dim) -``` - -- It averages all the word embedding in a sentence to get its sentence representation. - -```python -avg = pooling_layer(input=emb, pooling_type=AvgPooling()) -``` - -The other parts of the model are the same as logistic regression network. - -The performance is summarized in the following table: - - -
- - - - - - - - - - - - - - - - - -
Network nameNumber of parametersTest error
Word embedding model15 MB8.484%
-
-
- -### Convolutional Neural Network Model -Convolutional neural network converts a sequence of word embeddings into a sentence representation using temporal convolutions. You will transform the fully connected layer of the word embedding model to 3 new sub-steps. -
![](./src/NetConv_en.png)
- - -Text convolution has 3 steps: -1. Get K nearest neighbor context of each word in a sentence, stack them into a 2D vector representation. -2. Apply temporal convolution to this representation to produce a new hidden_dim dimensional vector. -3. Apply max-pooling to the new vectors at all the time steps in a sentence to get a sentence representation. - -```python -# context_len means convolution kernel size. -# context_start means the start of the convolution. It can be negative. In that case, zero padding is applied. -text_conv = sequence_conv_pool(input=emb, - context_start=k, - context_len=2 * k + 1) -``` - -The performance is summarized in the following table： - - -
- - - - - - - - - - - - - - - - - -
Network nameNumber of parametersTest error
Convolutional model16 MB5.628%
-
- -### Recurrent Model -
![](./src/NetRNN_en.png)
- -You can use Recurrent neural network as our time sequence model, including simple RNN model, GRU model, and LSTM model。 - -- GRU model can be specified via： - -```python -gru = simple_gru(input=emb, size=gru_size) -``` - -- LSTM model can be specified via： - -```python -lstm = simple_lstm(input=emb, size=lstm_size) -``` - -You can use single layer LSTM model with Dropout for our text classification problem. The performance is summarized in the following table: - - -
- - - - - - - - - - - - - - - - - -
Network nameNumber of parametersTest error
Recurrent model16 MB4.812%
- -
- -## Optimization Algorithm -Optimization algorithms include Momentum, RMSProp, AdaDelta, AdaGrad, Adam, and Adamax. You can use Adam optimization method here, with L2 regularization and gradient clipping, because Adam has been proved to work very well for training recurrent neural network. - -```python -settings(batch_size=128, - learning_rate=2e-3, - learning_method=AdamOptimizer(), - regularization=L2Regularization(8e-4), - gradient_clipping_threshold=25) -``` - -## Training Model -After completing data preparation and network architecture specification, you will run the training script. -
![](./src/PipelineTrain_en.png)
- -Training script: our training script is in `train.sh` file. The training arguments are listed below: - -```bash -paddle train \ ---config=trainer_config.py \ ---log_period=20 \ ---save_dir=./output \ ---num_passes=15 \ ---use_gpu=false -``` - -We do not provide examples on how to train on clusters here. If you want to train on clusters, please follow the distributed training documentation or other demos for more details. - -## Inference -You can use the trained model to perform prediction on the dataset with no labels. You can also evaluate the model on dataset with labels to obtain its test accuracy. -
![](./src/PipelineTest_en.png)
- -The test script is listed below. PaddlePaddle can evaluate a model on the data with labels specified in `test.list`. - -```bash -paddle train \ ---config=trainer_config.lstm.py \ ---use_gpu=false \ ---job=test \ ---init_model_path=./output/pass-0000x -``` - -We will give an example of performing prediction using Recurrent model on a dataset with no labels. You can refer to Python Prediction API tutorial，or other demo for the prediction process using Python. You can also use the following script for inference or evaluation. - -inference script (predict.sh)： - -```bash -model="output/pass-00003" -paddle train \ - --config=trainer_config.lstm.py \ - --use_gpu=false \ - --job=test \ - --init_model_path=$model \ - --config_args=is_predict=1 \ - --predict_output_dir=. \ - -mv rank-00000 result.txt -``` -User can choose the best model base on the training log instead of model `output/pass-00003`. There are several differences between training and inference network configurations. -- You do not need labels during inference. -- Outputs need to be specified to the classification probability layer (the output of softmax layer), or the id of maximum probability (`max_id` layer). An example to output the id and probability is given in the code snippet. -- batch_size = 1. -- You need to specify the location of `test_list` in the test data. - -The results in `result.txt` is as follows, each line is one sample. - -``` -predicted_label_id;probability_of_label_0 probability_of_label_1 # the first sample -predicted_label_id;probability_of_label_0 probability_of_label_1 # the second sample -``` - - -```python -is_predict = get_config_arg('is_predict', bool, False) -trn = 'data/train.list' if not is_predict else None -tst = 'data/test.list' if not is_predict else 'data/pred.list' -obj = 'process' if not is_predict else 'process_pre' -batch_size = 128 if not is_predict else 1 -if is_predict: - maxid = maxid_layer(output) - outputs([maxid,output]) -else: - label = data_layer(name="label", size=2) - cls = classification_cost(input=output, label=label) outputs(cls) -``` - -## Summary -The scripts of data downloading, network configurations, and training scrips are in `/demo/quick_start`. The following table summarizes the performance of our network architecture on Amazon-Elec dataset(25k): - -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Network nameNumber of parametersError rateConfiguration file name
Logistic regression model(BOW) 252KB 8.652%trainer_config.lr.py
Word embedding 15MB 8.484%trainer_config.emb.py
Convolution model 16MB 5.628%trainer_config.cnn.py
Time sequence model 16MB 4.812%trainer_config.lstm.py
-
-
- -## Appendix -### Command Line Argument - -* \--config：network architecture path. -* \--save_dir：model save directory. -* \--log_period：the logging period per batch. -* \--num_passes：number of training passes. One pass means the training would go over the whole training dataset once. -* \--config_args：Other configuration arguments. -* \--init_model_path：The path of the initial model parameter. - -By default, the trainer will save model every pass. You can also specify `saving_period_by_batches` to set the frequency of batch saving. You can use `show_parameter_stats_period` to print the statistics of the parameters, which are very useful for tuning parameters. Other command line arguments can be found in command line argument documentation。 - -### Log - -``` -TrainerInternal.cpp:160] Batch=20 samples=2560 AvgCost=0.628761 CurrentCost=0.628761 Eval: classification_error_evaluator=0.304297 CurrentEval: classification_error_evaluator=0.304297 -``` -During model training, you will see the log like the examples above: -
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
NameExplanation
Batch=20 You have trained 20 batches.
samples=2560 You have trained 2560 examples.
AvgCost The average cost from the first batch to the current batch.
CurrentCost the average cost of the last log_period batches
Eval: classification_error_evaluator The average classification error from the first batch to the current batch.
CurrentEval: classification_error_evaluator The average error rate of the last log_period batches
-
-
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All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2 as paddle import gzip diff --git a/go/pserver/client/c/test/test_train.py b/go/pserver/client/c/test/test_train.py index 7ef0fca496..445a8d3aa4 100644 --- a/go/pserver/client/c/test/test_train.py +++ b/go/pserver/client/c/test/test_train.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2 as paddle import paddle.v2.dataset.uci_housing as uci_housing import paddle.v2.master as master diff --git a/paddle/CMakeLists.txt b/paddle/CMakeLists.txt index 4a98ede278..3f9c132ef6 100644 --- a/paddle/CMakeLists.txt +++ b/paddle/CMakeLists.txt @@ -18,7 +18,7 @@ else() add_subdirectory(capi) endif() - if(Boost_FOUND) + if(NOT ANDROID AND NOT IOS) add_subdirectory(memory) add_subdirectory(platform) add_subdirectory(framework) diff --git a/paddle/api/test/testTrainConfig.py b/paddle/api/test/testTrainConfig.py index ab9a83e4a3..1a1283e116 100644 --- a/paddle/api/test/testTrainConfig.py +++ b/paddle/api/test/testTrainConfig.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=100, learning_method=AdamOptimizer()) diff --git a/paddle/capi/examples/model_inference/dense/main.c b/paddle/capi/examples/model_inference/dense/main.c index 376cd46fb0..f795bfe11d 100644 --- a/paddle/capi/examples/model_inference/dense/main.c +++ b/paddle/capi/examples/model_inference/dense/main.c @@ -1,3 +1,17 @@ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + #include #include diff --git a/paddle/capi/examples/model_inference/dense/merge_v2_model.py b/paddle/capi/examples/model_inference/dense/merge_v2_model.py index 760a485a53..7aeb482903 100644 --- a/paddle/capi/examples/model_inference/dense/merge_v2_model.py +++ b/paddle/capi/examples/model_inference/dense/merge_v2_model.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.utils.merge_model import merge_v2_model from mnist_v2 import network diff --git a/paddle/capi/examples/model_inference/dense/mnist_v2.py b/paddle/capi/examples/model_inference/dense/mnist_v2.py index 174436bd1d..183eecfdf2 100644 --- a/paddle/capi/examples/model_inference/dense/mnist_v2.py +++ b/paddle/capi/examples/model_inference/dense/mnist_v2.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import os import sys import gzip diff --git a/paddle/capi/examples/model_inference/dense/trainer_config.py b/paddle/capi/examples/model_inference/dense/trainer_config.py index fbf0890357..b94a21a7e4 100644 --- a/paddle/capi/examples/model_inference/dense/trainer_config.py +++ b/paddle/capi/examples/model_inference/dense/trainer_config.py @@ -1,31 +1,13 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. -from paddle.trainer_config_helpers import * - -img = data_layer(name='pixel', size=784) - -hidden = fc_layer( - input=img, - size=200, - param_attr=ParamAttr(name='hidden.w'), - bias_attr=ParamAttr(name='hidden.b')) - -prob = fc_layer( - input=hidden, - size=10, - act=SoftmaxActivation(), - param_attr=ParamAttr(name='prob.w'), - bias_attr=ParamAttr(name='prob.b')) - -outputs(prob) +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/paddle/capi/examples/model_inference/multi_thread/main.c b/paddle/capi/examples/model_inference/multi_thread/main.c index d7675cd80a..eecb9138e7 100644 --- a/paddle/capi/examples/model_inference/multi_thread/main.c +++ b/paddle/capi/examples/model_inference/multi_thread/main.c @@ -1,3 +1,17 @@ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + #include #include #include diff --git a/paddle/capi/examples/model_inference/multi_thread/main_gpu.c b/paddle/capi/examples/model_inference/multi_thread/main_gpu.c index 6fd376e0d1..85bb456584 100644 --- a/paddle/capi/examples/model_inference/multi_thread/main_gpu.c +++ b/paddle/capi/examples/model_inference/multi_thread/main_gpu.c @@ -1,3 +1,17 @@ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + #include #include #include diff --git a/paddle/capi/examples/model_inference/sequence/main.c b/paddle/capi/examples/model_inference/sequence/main.c index 50bc0c9201..80937c830d 100644 --- a/paddle/capi/examples/model_inference/sequence/main.c +++ b/paddle/capi/examples/model_inference/sequence/main.c @@ -1,3 +1,17 @@ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + #include #include #include "../common/common.h" diff --git a/paddle/capi/examples/model_inference/sequence/trainer_config.py b/paddle/capi/examples/model_inference/sequence/trainer_config.py index c1326bb955..889f8acdfd 100644 --- a/paddle/capi/examples/model_inference/sequence/trainer_config.py +++ b/paddle/capi/examples/model_inference/sequence/trainer_config.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * WORD_DIM = 3000 diff --git a/paddle/capi/examples/model_inference/sparse_binary/main.c b/paddle/capi/examples/model_inference/sparse_binary/main.c index 029b94ee63..efec010a91 100644 --- a/paddle/capi/examples/model_inference/sparse_binary/main.c +++ b/paddle/capi/examples/model_inference/sparse_binary/main.c @@ -1,3 +1,17 @@ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + #include #include diff --git a/paddle/capi/tests/test_predict_network.py b/paddle/capi/tests/test_predict_network.py index 46a985d476..6560417b2a 100644 --- a/paddle/capi/tests/test_predict_network.py +++ b/paddle/capi/tests/test_predict_network.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=100) diff --git a/paddle/framework/CMakeLists.txt b/paddle/framework/CMakeLists.txt index 597ea959f2..8d9260811a 100644 --- a/paddle/framework/CMakeLists.txt +++ b/paddle/framework/CMakeLists.txt @@ -1,7 +1,7 @@ # ddim lib proto_library(framework_proto SRCS framework.proto) -cc_library(ddim SRCS ddim.cc DEPS eigen3) +cc_library(ddim SRCS ddim.cc DEPS eigen3 boost) cc_test(ddim_test SRCS ddim_test.cc DEPS ddim) nv_test(dim_test SRCS dim_test.cu DEPS ddim) @@ -33,13 +33,19 @@ cc_library(scope SRCS scope.cc DEPS glog threadpool) cc_test(scope_test SRCS scope_test.cc DEPS scope) cc_library(data_device_transform SRCS data_device_transform.cc DEPS tensor) +nv_test(data_device_transform_test SRCS data_device_transform_test.cu + DEPS operator op_registry init math_function) + cc_library(data_type_transform SRCS data_type_transform.cc DEPS tensor) +cc_test(data_type_transform_test SRCS data_type_transform_test.cc DEPS data_type_transform) + cc_library(data_layout_transform SRCS data_layout_transform.cc DEPS tensor math_function) +cc_test(data_layout_transform_test SRCS data_layout_transform_test.cc DEPS data_layout_transform) cc_library(data_transform SRCS data_transform.cc DEPS math_function tensor framework_proto selected_rows data_device_transform data_type_transform data_layout_transform) -cc_library(attribute SRCS attribute.cc DEPS framework_proto) +cc_library(attribute SRCS attribute.cc DEPS framework_proto boost) cc_test(program_desc_test SRCS program_desc_test.cc DEPS proto_desc device_context) cc_library(op_proto_maker SRCS op_proto_maker.cc DEPS framework_proto attribute) @@ -68,7 +74,8 @@ cc_library(backward SRCS backward.cc DEPS net_op) cc_test(backward_test SRCS backward_test.cc DEPS backward recurrent_op device_context fill_constant_op) cc_library(lod_rank_table SRCS lod_rank_table.cc DEPS lod_tensor) -cc_library(executor SRCS executor.cc DEPS op_registry device_context scope framework_proto backward glog lod_rank_table) +cc_library(executor SRCS executor.cc DEPS op_registry device_context scope +framework_proto backward glog lod_rank_table profiler) cc_library(prune SRCS prune.cc DEPS framework_proto) cc_test(prune_test SRCS prune_test.cc DEPS op_info prune recurrent_op device_context) @@ -82,5 +89,10 @@ cc_test(init_test SRCS init_test.cc DEPS init) cc_test(op_kernel_type_test SRCS op_kernel_type_test.cc DEPS place device_context framework_proto) cc_test(cow_ptr_tests SRCS details/cow_ptr_test.cc) -nv_test(data_device_transform_test SRCS data_device_transform_test.cu - DEPS operator op_registry init math_function) + +if(NOT WITH_C_API AND WITH_FLUID) + file(GLOB FRAMEWORK_HEADERS *.h) + install(FILES ${FRAMEWORK_HEADERS} DESTINATION include/paddle/framework) + install(FILES ${CMAKE_CURRENT_BINARY_DIR}/framework.pb.h DESTINATION include/paddle/framework) + install(FILES details/cow_ptr.h details/op_registry.h DESTINATION include/paddle/framework/details) +endif() diff --git a/paddle/framework/attribute.cc b/paddle/framework/attribute.cc index b0fd4d2750..5074e8f5a0 100644 --- a/paddle/framework/attribute.cc +++ b/paddle/framework/attribute.cc @@ -61,6 +61,9 @@ Attribute GetAttrValue(const proto::OpDesc::Attr& attr_desc) { } return val; } + case proto::AttrType::LONG: { + return attr_desc.l(); + } default: PADDLE_THROW("Unsupport attr type %d", attr_desc.type()); } diff --git a/paddle/framework/attribute.h b/paddle/framework/attribute.h index c1c63d9cb1..bcff9bc4c4 100644 --- a/paddle/framework/attribute.h +++ b/paddle/framework/attribute.h @@ -168,6 +168,32 @@ struct ExtractAttribute { const std::string& attr_name_; }; +template <> +struct ExtractAttribute { + explicit ExtractAttribute(const std::string& attr_name) + : attr_name_(attr_name) {} + + int64_t* operator()(Attribute& attr) const { + if (attr.type() == typeid(int)) { // NOLINT + int val = boost::get(attr); + attr = static_cast(val); + } else if (attr.type() == typeid(float)) { // NOLINT + int val = boost::get(attr); + attr = static_cast(val); + } + int64_t* attr_value = nullptr; + try { + attr_value = &boost::get(attr); + } catch (boost::bad_get& bad_get) { + PADDLE_THROW("Cannot get attribute %s by type int64_t, its type is %s", + attr_name_, attr.type().name()); + } + return attr_value; + } + + const std::string& attr_name_; +}; + // check whether a certain attribute fit its limits // an attribute can have more than one limits template diff --git a/paddle/framework/block_desc.cc b/paddle/framework/block_desc.cc index 54498e175d..dd2ed87252 100644 --- a/paddle/framework/block_desc.cc +++ b/paddle/framework/block_desc.cc @@ -75,7 +75,7 @@ std::vector BlockDesc::AllVars() const { OpDesc *BlockDesc::AppendOp() { need_update_ = true; - ops_.emplace_back(new OpDesc()); + ops_.emplace_back(new OpDesc(this)); return ops_.back().get(); } @@ -86,7 +86,7 @@ void BlockDesc::AppendAllocatedOp(std::unique_ptr &&op_desc) { OpDesc *BlockDesc::PrependOp() { need_update_ = true; - ops_.emplace_front(new OpDesc()); + ops_.emplace_front(new OpDesc(this)); return ops_.front().get(); } @@ -153,7 +153,7 @@ BlockDesc::BlockDesc(ProgramDesc *prog, proto::BlockDesc *desc) vars_[var_desc.name()].reset(new VarDesc(var_desc)); } for (const proto::OpDesc &op_desc : desc_->ops()) { - ops_.emplace_back(new OpDesc(op_desc, prog)); + ops_.emplace_back(new OpDesc(op_desc, prog, this)); } } @@ -162,7 +162,7 @@ BlockDesc::BlockDesc(const BlockDesc &other, proto::BlockDesc *desc, : prog_(prog), desc_(desc) { need_update_ = true; for (auto &op : other.ops_) { - ops_.emplace_back(new OpDesc(*op)); + ops_.emplace_back(new OpDesc(*op, this)); } for (auto &it : other.vars_) { diff --git a/paddle/framework/data_device_transform.cc b/paddle/framework/data_device_transform.cc index d38d87927f..5daf5a4e0a 100644 --- a/paddle/framework/data_device_transform.cc +++ b/paddle/framework/data_device_transform.cc @@ -31,7 +31,7 @@ static const platform::DeviceContext* GetDeviceContext( } } -void DeviceTransform(const Tensor& in, const platform::Place& dst_place, +void TransDataDevice(const Tensor& in, const platform::Place& dst_place, Tensor* out) { VLOG(3) << "DeviceTransform in, src_place " << in.place() << " dst_place: " << dst_place; diff --git a/paddle/framework/data_device_transform.h b/paddle/framework/data_device_transform.h index b21ed0be34..39750a85f2 100644 --- a/paddle/framework/data_device_transform.h +++ b/paddle/framework/data_device_transform.h @@ -21,7 +21,7 @@ limitations under the License. */ namespace paddle { namespace framework { -void DeviceTransform(const Tensor& in, const platform::Place& dst_place, +void TransDataDevice(const Tensor& in, const platform::Place& dst_place, Tensor* out); } // namespace framework diff --git a/paddle/framework/data_device_transform_test.cu b/paddle/framework/data_device_transform_test.cu index 5d89f5546f..efc05b3106 100644 --- a/paddle/framework/data_device_transform_test.cu +++ b/paddle/framework/data_device_transform_test.cu @@ -150,6 +150,7 @@ TEST(Operator, CPUtoGPU) { // get output auto* output2 = scope.Var("OUT2"); gpu_op->Run(scope, cuda_place); + VLOG(3) << "after gpu_op run"; // auto* output2_ptr = output2->Get().data(); DeviceContextPool& pool = DeviceContextPool::Instance(); diff --git a/paddle/framework/data_layout_transform.cc b/paddle/framework/data_layout_transform.cc index 96794cae97..9d0a6d5ea3 100644 --- a/paddle/framework/data_layout_transform.cc +++ b/paddle/framework/data_layout_transform.cc @@ -1,25 +1,36 @@ -/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. */ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. #include "paddle/framework/data_layout_transform.h" -#include "paddle/framework/tensor.h" #include "paddle/operators/math/math_function.h" namespace paddle { namespace framework { +std::vector GetAxis(const DataLayout& from, const DataLayout& to) { + PADDLE_ENFORCE_NE(from, to, + "layout transform should transform different layout"); + if (from == DataLayout::kNCHW && to == DataLayout::kNHWC) { + return {0, 2, 3, 1}; + } else if (from == DataLayout::kNHWC && to == DataLayout::kNCHW) { + return {0, 3, 1, 2}; + } else { + PADDLE_THROW("unsupported transform"); + } +} + struct CastDataLayout { CastDataLayout(const platform::DeviceContext* ctx, const std::vector& axis, const framework::Tensor& in, @@ -44,38 +55,36 @@ struct CastDataLayout { } }; -void TransDataLayout(const std::vector& axis, - const platform::DeviceContext* ctx, - const KernelTypePair& kernel_pair, const Variable& in, - Variable* out) { - PADDLE_ENFORCE(in.IsType(), "Only support Tensor transform!."); +void TransDataLayout(const OpKernelType& kernel_type_for_var, + const OpKernelType& expected_kernel_type, const Tensor& in, + Tensor* out) { PADDLE_ENFORCE( - platform::places_are_same_class(kernel_pair.first.place_, - kernel_pair.second.place_), + platform::places_are_same_class(kernel_type_for_var.place_, + expected_kernel_type.place_), "TransDataLayout only support DataLayout transform on same place!"); - PADDLE_ENFORCE(kernel_pair.first.data_type_ == kernel_pair.second.data_type_, - "TransDataLayout only support Datatype are same!"); - auto src = in.Get(); - auto* dst = out->GetMutable(); - PADDLE_ENFORCE(arity(src.dims()) == 4, "Input Arity Only Suppport 4!"); + PADDLE_ENFORCE(arity(in.dims()) == 4, "Input Arity only support 4!"); + + auto& pool = platform::DeviceContextPool::Instance(); - auto src_dim = src.dims(); + auto src_dim = in.dims(); std::vector dst_dim; + auto axis = GetAxis(kernel_type_for_var.data_layout_, + expected_kernel_type.data_layout_); dst_dim.resize(axis.size()); for (size_t i = 0; i < axis.size(); i++) { dst_dim[i] = src_dim[axis[i]]; } - dst->Resize(make_ddim(dst_dim)); - auto place = kernel_pair.second.place_; - dst->mutable_data(place, src.type()); + out->Resize(make_ddim(dst_dim)); + out->mutable_data(expected_kernel_type.place_, in.type()); - auto src_type = kernel_pair.first.data_type_; - framework::VisitDataType(src_type, CastDataLayout(ctx, axis, src, dst)); + framework::VisitDataType( + framework::ToDataType(in.type()), + CastDataLayout(pool.Get(expected_kernel_type.place_), axis, in, out)); - dst->set_layout(kernel_pair.second.data_layout_); + out->set_layout(expected_kernel_type.data_layout_); } } // namespace framework diff --git a/paddle/framework/data_layout_transform.h b/paddle/framework/data_layout_transform.h index befae1f636..368f7fc989 100644 --- a/paddle/framework/data_layout_transform.h +++ b/paddle/framework/data_layout_transform.h @@ -1,31 +1,31 @@ -/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. */ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. #pragma once #include "paddle/framework/op_kernel_type.h" +#include "paddle/framework/tensor.h" #include "paddle/framework/variable.h" namespace paddle { namespace framework { -using KernelTypePair = std::pair; +std::vector GetAxis(const DataLayout& from, const DataLayout& to); -void TransDataLayout(const std::vector& axis, - const platform::DeviceContext* ctx, - const KernelTypePair& kernel_pair, const Variable& in, - Variable* out); +void TransDataLayout(const OpKernelType& kernel_type_for_var, + const OpKernelType& expected_kernel_type, const Tensor& in, + Tensor* out); } // namespace framework } // namespace paddle diff --git a/paddle/framework/data_layout_transform_test.cc b/paddle/framework/data_layout_transform_test.cc new file mode 100644 index 0000000000..093e8d4d34 --- /dev/null +++ b/paddle/framework/data_layout_transform_test.cc @@ -0,0 +1,44 @@ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "paddle/framework/data_layout_transform.h" + +#include "gtest/gtest.h" +#include "paddle/platform/device_context.h" + +TEST(DataTransform, DataLayoutFunction) { + using namespace paddle::framework; + using namespace paddle::platform; + + auto place = CPUPlace(); + Tensor in = Tensor(); + Tensor out = Tensor(); + in.mutable_data(make_ddim({2, 3, 1, 2}), place); + in.set_layout(DataLayout::kNHWC); + + auto kernel_nhwc = OpKernelType(proto::DataType::FP32, place, + DataLayout::kNHWC, LibraryType::kPlain); + auto kernel_ncwh = OpKernelType(proto::DataType::FP32, place, + DataLayout::kNCHW, LibraryType::kPlain); + + TransDataLayout(kernel_nhwc, kernel_ncwh, in, &out); + + EXPECT_TRUE(out.layout() == DataLayout::kNCHW); + EXPECT_TRUE(out.dims() == make_ddim({2, 2, 3, 1})); + + TransDataLayout(kernel_ncwh, kernel_nhwc, in, &out); + + EXPECT_TRUE(in.layout() == DataLayout::kNHWC); + EXPECT_TRUE(in.dims() == make_ddim({2, 3, 1, 2})); +} \ No newline at end of file diff --git a/paddle/framework/data_transform.cc b/paddle/framework/data_transform.cc index d826f0edac..b6fd46401f 100644 --- a/paddle/framework/data_transform.cc +++ b/paddle/framework/data_transform.cc @@ -15,18 +15,50 @@ limitations under the License. */ #include "paddle/framework/data_transform.h" #include "paddle/framework/data_device_transform.h" +#include "paddle/framework/data_layout_transform.h" +#include "paddle/framework/data_type_transform.h" namespace paddle { namespace framework { +static void PassTensorData(Tensor* from, Tensor* to) { + to->ShareDataWith(*from); + *from = Tensor(); +} + void DataTransform(const OpKernelType& expected_kernel_type, const OpKernelType& kernel_type_for_var, - const Tensor& input_tensor, Tensor* out) { + const Tensor& input_tensor, Tensor* output_tensor) { + bool transformed = false; + Tensor in; + in.ShareDataWith(input_tensor); + Tensor out; + + // do layout transform + if (NeedTransformLayout(expected_kernel_type.data_layout_, + kernel_type_for_var.data_layout_)) { + TransDataLayout(kernel_type_for_var, expected_kernel_type, in, &out); + transformed = true; + PassTensorData(&out, &in); + } + + if (expected_kernel_type.data_type_ != kernel_type_for_var.data_type_) { + TransDataType(kernel_type_for_var, expected_kernel_type, in, &out); + transformed = true; + PassTensorData(&out, &in); + } + + // do device transform if (!platform::is_same_place(kernel_type_for_var.place_, expected_kernel_type.place_)) { - DeviceTransform(input_tensor, expected_kernel_type.place_, out); + TransDataDevice(in, expected_kernel_type.place_, &out); + transformed = true; + PassTensorData(&out, &in); } - PADDLE_ENFORCE_NOT_NULL(out, "out should not be null"); + + PADDLE_ENFORCE(transformed, "No transform is applied, please check!"); + // get output data + output_tensor->ShareDataWith(in); } void CopyVariableWithTensor(const Variable& in_var, const Tensor& tensor, diff --git a/paddle/framework/data_type_transform.cc b/paddle/framework/data_type_transform.cc index 63373232e9..7df1cc6b75 100644 --- a/paddle/framework/data_type_transform.cc +++ b/paddle/framework/data_type_transform.cc @@ -38,14 +38,11 @@ struct CastDataType { template void operator()() { - auto place = ctx_->GetPlace(); - auto* in_begin = in_.data(); - auto numel = in_.numel(); - auto* in_end = in_begin + numel; - auto* out_begin = out_->mutable_data(place); + auto* in_end = in_begin + in_.numel(); + auto* out_begin = out_->mutable_data(in_.place()); - if (platform::is_cpu_place(place)) { + if (platform::is_cpu_place(in_.place())) { platform::Transform trans; auto* context = static_cast(ctx_); trans(*context, in_begin, in_end, out_begin, @@ -57,38 +54,31 @@ struct CastDataType { } }; -void TransDataType(const platform::DeviceContext* ctx, - const KernelTypePair& kernel_pair, const Variable& in, - Variable* out) { - PADDLE_ENFORCE(in.IsType(), "Only Support Tensor transform!."); - PADDLE_ENFORCE( - platform::places_are_same_class(kernel_pair.first.place_, - kernel_pair.second.place_), - "TransDataType Only Support DataType transform on same place!"); - - auto src = in.Get(); - auto* dst = out->GetMutable(); +void TransDataType(const OpKernelType& kernel_type_for_var, + const OpKernelType& expected_kernel_type, const Tensor& in, + Tensor* out) { + platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance(); - auto dims = src.dims(); - dst->Resize(dims); - auto dst_type = kernel_pair.second.data_type_; - auto src_type = kernel_pair.first.data_type_; + out->Resize(in.dims()); + auto src_type = kernel_type_for_var.data_type_; + auto dst_type = expected_kernel_type.data_type_; + auto ctx = pool.Get(in.place()); switch (src_type) { case proto::DataType::FP32: - framework::VisitDataType(dst_type, CastDataType(src, dst, ctx)); + framework::VisitDataType(dst_type, CastDataType(in, out, ctx)); break; case proto::DataType::FP64: - framework::VisitDataType(dst_type, CastDataType(src, dst, ctx)); + framework::VisitDataType(dst_type, CastDataType(in, out, ctx)); break; case proto::DataType::INT32: - framework::VisitDataType(dst_type, CastDataType(src, dst, ctx)); + framework::VisitDataType(dst_type, CastDataType(in, out, ctx)); break; case proto::DataType::INT64: - framework::VisitDataType(dst_type, CastDataType(src, dst, ctx)); + framework::VisitDataType(dst_type, CastDataType(in, out, ctx)); break; case proto::DataType::BOOL: - framework::VisitDataType(dst_type, CastDataType(src, dst, ctx)); + framework::VisitDataType(dst_type, CastDataType(in, out, ctx)); break; default: PADDLE_THROW("Not support type %d", src_type); diff --git a/paddle/framework/data_type_transform.h b/paddle/framework/data_type_transform.h index 8ec9074225..067c0c2a5b 100644 --- a/paddle/framework/data_type_transform.h +++ b/paddle/framework/data_type_transform.h @@ -15,6 +15,7 @@ limitations under the License. */ #pragma once #include "paddle/framework/op_kernel_type.h" +#include "paddle/framework/tensor.h" #include "paddle/framework/variable.h" #include "paddle/platform/device_context.h" @@ -23,9 +24,9 @@ namespace framework { using KernelTypePair = std::pair; -void TransDataType(const platform::DeviceContext* ctx, - const KernelTypePair& kernel_pair, const Variable& in, - Variable* out); +void TransDataType(const OpKernelType& kernel_type_for_var, + const OpKernelType& expected_kernel_type, const Tensor& in, + Tensor* out); } // namespace framework } // namespace paddle diff --git a/paddle/framework/data_type_transform_test.cc b/paddle/framework/data_type_transform_test.cc new file mode 100644 index 0000000000..89d32f5283 --- /dev/null +++ b/paddle/framework/data_type_transform_test.cc @@ -0,0 +1,53 @@ +/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include "paddle/framework/data_type_transform.h" + +#include "gtest/gtest.h" + +TEST(DataTypeTransform, CPUTransform) { + using namespace paddle::framework; + using namespace paddle::platform; + + auto place = CPUPlace(); + + Tensor in; + Tensor out; + + float* ptr = in.mutable_data(make_ddim({2, 3}), place); + int data_number = 2 * 3; + + for (int i = 0; i < data_number; ++i) { + ptr[i] = i / 3; + } + + auto kernel_fp32 = OpKernelType(proto::DataType::FP32, place, + DataLayout::kAnyLayout, LibraryType::kPlain); + auto kernel_fp64 = OpKernelType(proto::DataType::FP64, place, + DataLayout::kAnyLayout, LibraryType::kPlain); + auto kernel_int32 = OpKernelType(proto::DataType::INT32, place, + DataLayout::kAnyLayout, LibraryType::kPlain); + + TransDataType(kernel_fp32, kernel_fp64, in, &out); + double* out_data_double = out.data(); + for (int i = 0; i < data_number; ++i) { + ASSERT_EQ(out_data_double[i], static_cast(i / 3)); + } + + TransDataType(kernel_fp32, kernel_int32, in, &out); + int* out_data_int = out.data(); + for (int i = 0; i < data_number; ++i) { + ASSERT_EQ(out_data_int[i], static_cast(i / 3)); + } +} diff --git a/paddle/framework/eigen_test.cc b/paddle/framework/eigen_test.cc index c6f77ecfab..9e368a522c 100644 --- a/paddle/framework/eigen_test.cc +++ b/paddle/framework/eigen_test.cc @@ -11,18 +11,6 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -/* - Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - http://www.apache.org/licenses/LICENSE-2.0 - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. -*/ #include "paddle/framework/eigen.h" #include diff --git a/paddle/framework/executor.cc b/paddle/framework/executor.cc index c0418c9266..c28ffefdd0 100644 --- a/paddle/framework/executor.cc +++ b/paddle/framework/executor.cc @@ -22,7 +22,9 @@ limitations under the License. */ #include "paddle/framework/lod_tensor_array.h" #include "paddle/framework/op_registry.h" #include "paddle/platform/place.h" +#include "paddle/platform/profiler.h" +DECLARE_bool(do_memory_benchmark); DEFINE_bool(check_nan_inf, false, "Checking whether operator produce NAN/INF or not. It will be " "extremely slow so please use this flag wisely."); @@ -115,8 +117,17 @@ void Executor::Run(const ProgramDesc& pdesc, Scope* scope, int block_id, for (auto& op_desc : block.AllOps()) { auto op = paddle::framework::OpRegistry::CreateOp(*op_desc); - VLOG(3) << op->DebugStringEx(local_scope); + VLOG(4) << op->DebugStringEx(local_scope); + + platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance(); + platform::RecordEvent record_event(op->Type(), pool.Get(place_)); + op->Run(*local_scope, place_); + VLOG(3) << op->DebugStringEx(local_scope); + if (FLAGS_do_memory_benchmark) { + VLOG(2) << "Memory used after operator " + op->Type() + " running: " + << memory::memory_usage(place_); + } if (FLAGS_check_nan_inf) { for (auto& vname : op->OutputVars(true)) { auto* var = local_scope->FindVar(vname); @@ -130,6 +141,12 @@ void Executor::Run(const ProgramDesc& pdesc, Scope* scope, int block_id, if (create_vars && create_local_scope) { scope->DeleteScope(local_scope); } + if (FLAGS_do_memory_benchmark) { + VLOG(2) << "-------------------------------------------------------"; + VLOG(2) << "Memory used after deleting local scope: " + << memory::memory_usage(place_); + VLOG(2) << "-------------------------------------------------------"; + } } } // namespace framework diff --git a/paddle/framework/framework.proto b/paddle/framework/framework.proto index ea69b87e2a..5b6ef03f61 100644 --- a/paddle/framework/framework.proto +++ b/paddle/framework/framework.proto @@ -26,6 +26,7 @@ enum AttrType { BOOLEAN = 6; BOOLEANS = 7; BLOCK = 8; + LONG = 9; } // OpDesc describes an instance of a C++ framework::OperatorBase @@ -44,6 +45,7 @@ message OpDesc { optional bool b = 10; repeated bool bools = 11; optional int32 block_idx = 12; + optional int64 l = 13; }; message Var { diff --git a/paddle/framework/lod_tensor.cc b/paddle/framework/lod_tensor.cc index 3e239e9911..53b0d0fe08 100644 --- a/paddle/framework/lod_tensor.cc +++ b/paddle/framework/lod_tensor.cc @@ -107,9 +107,10 @@ LoD ToAbsOffset(const LoD &in) { // the lowest level stores relative offsets if (in.empty() || in.size() == 1) return in; LoD result = in; - for (int level = result.size() - 2; level >= 0; level--) { - for (auto &ele : result[level]) { - ele = result[level + 1][ele]; + for (auto level = static_cast(in.size() - 2); level >= 0; level--) { + for (size_t i = 0; i < in[level].size(); ++i) { + size_t index = in[level][i]; + result[level][i] = result[level + 1][index]; } } return result; @@ -286,18 +287,18 @@ void DeserializeFromStream(std::istream &is, LoDTensor *tensor, DeserializeFromStream(is, static_cast(tensor), dev_ctx); } -// TODO(tonyyang-svail): make this function support LoD std::vector LoDTensor::SplitLoDTensor( const std::vector places) const { check_memory_size(); - PADDLE_ENFORCE(lod().empty(), "Disable parallel lod for now"); - size_t result_size = std::min(static_cast(dims()[0]), places.size()); - size_t remainder = dims()[0] % places.size(); + int batch_size = + lod().empty() ? dims()[0] : static_cast(lod()[0].size()) - 1; + size_t result_size = std::min(static_cast(batch_size), places.size()); + size_t remainder = batch_size % places.size(); std::vector results; results.reserve(result_size); - int step_width = static_cast(dims()[0] / result_size); + int step_width = static_cast(batch_size / result_size); for (size_t i = 0; i < result_size; ++i) { int begin = static_cast(i * step_width); int end = static_cast((i + 1) * step_width); @@ -305,13 +306,28 @@ std::vector LoDTensor::SplitLoDTensor( end += remainder; } - auto src = Slice(begin, end); - auto &dst_place = places[i]; LoDTensor dst; - if (!(dst_place == place())) { + if (lod().empty()) { + auto src = Slice(begin, end); + auto &dst_place = places[i]; framework::Copy(src, dst_place, &dst); - } else { // It is no need to copy if src_place and dst_place are same. - dst.ShareDataWith(src); + } else { + auto lod_and_offset = GetSubLoDAndAbsoluteOffset(lod(), begin, end, 0); + + auto &offset = lod_and_offset.second; + auto src = Slice(offset.first, offset.second); + auto &dst_place = places[i]; + framework::Copy(src, dst_place, &dst); + + LoD my_lod; + for (auto &l : lod_and_offset.first) { + std::vector v{0}; + for (auto &ll : l) { + v.push_back(ll + v.back()); + } + my_lod.emplace_back(v); + } + dst.set_lod(my_lod); } results.emplace_back(dst); } @@ -319,29 +335,38 @@ std::vector LoDTensor::SplitLoDTensor( return results; } -// TODO(tonyyang-svail): make this function support LoD void LoDTensor::MergeLoDTensor( const std::vector &lod_tensors, platform::Place dst_place) { PADDLE_ENFORCE(!lod_tensors.empty()); + framework::DDim new_dim = lod_tensors[0]->dims(); std::type_index new_type = lod_tensors[0]->type(); - auto new_layout = lod_tensors[0]->layout(); - int64_t new_height = 0; - for (auto *lod : lod_tensors) { - new_height += lod->dims()[0]; - for (int i = 1; i < new_dim.size(); ++i) { - PADDLE_ENFORCE_EQ(new_dim[i], lod->dims()[i]); + framework::DataLayout new_layout = lod_tensors[0]->layout(); + LoD new_lod = lod_tensors[0]->lod(); + for (size_t i = 1; i < lod_tensors.size(); ++i) { + auto *t = lod_tensors[i]; + PADDLE_ENFORCE_EQ(new_type.hash_code(), t->type().hash_code()); + PADDLE_ENFORCE_EQ(new_layout, t->layout()); + + PADDLE_ENFORCE_EQ(framework::product(new_dim) / new_dim[0], + framework::product(t->dims()) / t->dims()[0]); + new_dim[0] += t->dims()[0]; + + auto &lod = t->lod(); + for (size_t j = 0; j < lod.size(); ++j) { + auto &sub_lod = new_lod[j]; + auto &offset = sub_lod.back(); + for (size_t k = 1; k < lod[j].size(); ++k) { + sub_lod.push_back(lod[j][k] + offset); + } } - - PADDLE_ENFORCE_EQ(new_type, lod->type()); - PADDLE_ENFORCE_EQ(new_layout, lod->layout()); } - new_dim[0] = new_height; Resize(new_dim); set_layout(new_layout); - + set_lod(new_lod); mutable_data(dst_place, new_type); + int begin = 0; for (auto *src : lod_tensors) { int end = begin + src->dims()[0]; diff --git a/paddle/framework/lod_tensor_test.cc b/paddle/framework/lod_tensor_test.cc index 9c7ad6c7b4..4d172c43c7 100644 --- a/paddle/framework/lod_tensor_test.cc +++ b/paddle/framework/lod_tensor_test.cc @@ -1,16 +1,16 @@ -/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. */ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. #include "paddle/framework/lod_tensor.h" @@ -100,6 +100,71 @@ TEST(LoD, ToAbsOffset) { EXPECT_EQ(abs_lod, expected); } +TEST(LoD, SplitLoDTensor) { + LoD lod; + lod.push_back(std::vector({0, 2, 4, 5, 6})); + lod.push_back(std::vector({0, 1, 6, 8, 13, 15, 20})); + + platform::CPUPlace place; + LoDTensor lod_tensor; + lod_tensor.Resize({20, 1}); + float* dst_ptr = lod_tensor.mutable_data(place); + for (int i = 0; i < lod_tensor.numel(); ++i) { + dst_ptr[i] = i; + } + lod_tensor.set_lod(lod); + + std::vector places{platform::CPUPlace(), + platform::CPUPlace()}; + LoD lod0; + lod0.push_back(std::vector({0, 2, 4})); + lod0.push_back(std::vector({0, 1, 6, 8, 13})); + LoD lod1; + lod1.push_back(std::vector({0, 1, 2})); + lod1.push_back(std::vector({0, 2, 7})); + + auto lods = lod_tensor.SplitLoDTensor(places); + EXPECT_EQ(lods[0].lod(), lod0); + EXPECT_EQ(lods[1].lod(), lod1); +} + +TEST(LoD, MergeLoDTensor) { + LoD lod; + lod.push_back(std::vector({0, 2, 4, 5, 6})); + lod.push_back(std::vector({0, 1, 6, 8, 13, 15, 20})); + + platform::CPUPlace place; + + LoDTensor lod_tensor0; + LoD lod0; + lod0.push_back(std::vector({0, 2, 4})); + lod0.push_back(std::vector({0, 1, 6, 8, 13})); + lod_tensor0.set_lod(lod0); + + lod_tensor0.Resize({13, 1}); + float* dst_ptr = lod_tensor0.mutable_data(place); + for (int i = 0; i < lod_tensor0.numel(); ++i) { + dst_ptr[i] = i; + } + + LoDTensor lod_tensor1; + LoD lod1; + lod1.push_back(std::vector({0, 1, 2})); + lod1.push_back(std::vector({0, 2, 7})); + lod_tensor1.set_lod(lod1); + lod_tensor1.Resize({7, 1}); + dst_ptr = lod_tensor1.mutable_data(place); + for (int i = 0; i < lod_tensor1.numel(); ++i) { + dst_ptr[i] = i; + } + + std::vector lods{&lod_tensor0, &lod_tensor1}; + + LoDTensor lod_tensor; + lod_tensor.MergeLoDTensor(lods, place); + EXPECT_EQ(lod_tensor.lod(), lod); +} + TEST(LoD, CheckLoD) { LoD relative_lod; relative_lod.push_back(std::vector({0, 2})); diff --git a/paddle/framework/lod_tensor_test.cu b/paddle/framework/lod_tensor_test.cu index 0f46e9b1e3..1e253a2f6f 100644 --- a/paddle/framework/lod_tensor_test.cu +++ b/paddle/framework/lod_tensor_test.cu @@ -1,28 +1,16 @@ -// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // -// http://www.apache.org/licenses/LICENSE-2.0 +// http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -/* - Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - http://www.apache.org/licenses/LICENSE-2.0 - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. -*/ #include #include diff --git a/paddle/framework/op_desc.cc b/paddle/framework/op_desc.cc index 1c0372bb16..f8df2cf97a 100644 --- a/paddle/framework/op_desc.cc +++ b/paddle/framework/op_desc.cc @@ -97,7 +97,7 @@ void OpDesc::CopyFrom(const OpDesc &op_desc) { need_update_ = true; } -OpDesc::OpDesc(const proto::OpDesc &desc, ProgramDesc *prog) +OpDesc::OpDesc(const proto::OpDesc &desc, ProgramDesc *prog, BlockDesc *block) : desc_(desc), need_update_(false) { // restore inputs_ int input_size = desc_.inputs_size(); @@ -131,6 +131,7 @@ OpDesc::OpDesc(const proto::OpDesc &desc, ProgramDesc *prog) attrs_[attr_name] = prog->MutableBlock(bid); } } + this->block_ = block; } proto::OpDesc *OpDesc::Proto() { @@ -282,6 +283,7 @@ struct SetAttrDescVisitor : public boost::static_visitor { VectorToRepeated(v, attr_->mutable_bools()); } void operator()(BlockDesc *desc) const { attr_->set_block_idx(desc->ID()); } + void operator()(int64_t v) const { attr_->set_l(v); } void operator()(boost::blank) const { PADDLE_THROW("Unexpected branch"); } }; diff --git a/paddle/framework/op_desc.h b/paddle/framework/op_desc.h index a5ffb16292..13695cff59 100644 --- a/paddle/framework/op_desc.h +++ b/paddle/framework/op_desc.h @@ -25,7 +25,6 @@ namespace framework { class BlockDesc; class ProgramDesc; - class OpDesc { public: OpDesc() {} @@ -33,7 +32,14 @@ class OpDesc { OpDesc(const std::string &type, const VariableNameMap &inputs, const VariableNameMap &outputs, const AttributeMap &attrs); - OpDesc(const proto::OpDesc &desc, ProgramDesc *prog); + OpDesc(const proto::OpDesc &desc, ProgramDesc *prog, BlockDesc *block); + + explicit OpDesc(BlockDesc *block) : block_(block) {} + + OpDesc(const OpDesc &other, BlockDesc *block) { + *this = other; + block_ = block; + } void CopyFrom(const OpDesc &op_desc); @@ -117,6 +123,10 @@ class OpDesc { void Flush(); + BlockDesc *Block() { return this->block_; } + + void SetBlock(BlockDesc *block) { this->block_ = block; } + private: template static std::vector MapKeys(const MapType &map) { @@ -129,6 +139,7 @@ class OpDesc { } proto::OpDesc desc_; + BlockDesc *block_; // not_own // input arg name => input variable names VariableNameMap inputs_; // output arg name => output variable names diff --git a/paddle/framework/op_kernel_type.h b/paddle/framework/op_kernel_type.h index 312bd5f892..44adb94d2a 100644 --- a/paddle/framework/op_kernel_type.h +++ b/paddle/framework/op_kernel_type.h @@ -85,9 +85,14 @@ inline std::string KernelTypeToString(const OpKernelType& kernel_key) { return stream.str(); } +inline bool NeedTransformLayout(const DataLayout& l, const DataLayout& r) { + return l != DataLayout::kAnyLayout && r != DataLayout::kAnyLayout && l != r; +} + inline bool TransFromNeeded(const OpKernelType& l, const OpKernelType& r) { return (!platform::places_are_same_class(l.place_, r.place_)) || - (l.data_type_ != r.data_type_) || (l.data_layout_ != r.data_layout_); + (l.data_type_ != r.data_type_) || + NeedTransformLayout(l.data_layout_, r.data_layout_); } } // namespace framework diff --git a/paddle/framework/operator.cc b/paddle/framework/operator.cc index 84c010df7c..831b1e2a1e 100644 --- a/paddle/framework/operator.cc +++ b/paddle/framework/operator.cc @@ -485,9 +485,15 @@ void OperatorWithKernel::Run(const Scope& scope, // } auto expected_kernel_key = this->GetExpectedKernelType(ctx); - VLOG(3) << "expected_kernel_key:" << expected_kernel_key; + auto kernel_iter = kernels.find(expected_kernel_key); + if (kernel_iter == kernels.end()) { + PADDLE_THROW("op %s does not have kernel for %s", type_, + KernelTypeToString(expected_kernel_key)); + } + + // do data transform Scope& new_scope = scope.NewScope(); for (auto& var_name_item : this->Inputs()) { @@ -520,8 +526,6 @@ void OperatorWithKernel::Run(const Scope& scope, } } - auto kernel_iter = kernels.find(expected_kernel_key); - auto* new_dev_ctx = pool.Get(expected_kernel_key.place_); kernel_iter->second->Compute( ExecutionContext(*this, new_scope, *new_dev_ctx)); diff --git a/paddle/framework/scope.cc b/paddle/framework/scope.cc index 2bd0ac8f5a..a67ff91009 100644 --- a/paddle/framework/scope.cc +++ b/paddle/framework/scope.cc @@ -20,6 +20,10 @@ limitations under the License. */ #include "paddle/framework/threadpool.h" #include "paddle/string/printf.h" +DEFINE_bool(do_memory_benchmark, false, + "Doing memory benchmark. It will make deleting scope synchronized, " + "and add some memory usage logs"); + namespace paddle { namespace framework { @@ -88,8 +92,12 @@ void Scope::DeleteScope(Scope* scope) { auto it = std::find(this->kids_.begin(), this->kids_.end(), scope); PADDLE_ENFORCE(it != this->kids_.end(), "Cannot find %p as kid scope", scope); this->kids_.erase(it); - // Make delete async. - Async([scope] { delete scope; }); + // When making memory benchmark on Fluid, we have to delete scope sync. + if (FLAGS_do_memory_benchmark) { + delete scope; + } else { + Async([scope] { delete scope; }); + } } void Scope::Rename(const std::string& origin_name, diff --git a/paddle/framework/tensor_test.cc b/paddle/framework/tensor_test.cc index c04cd38697..9a387526ac 100644 --- a/paddle/framework/tensor_test.cc +++ b/paddle/framework/tensor_test.cc @@ -11,18 +11,6 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -/* - Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - http://www.apache.org/licenses/LICENSE-2.0 - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. -*/ #include "paddle/framework/tensor.h" #include @@ -60,9 +48,6 @@ TEST(Tensor, DataAssert) { ASSERT_TRUE(caught); } -/* following tests are not available at present - because Memory::Alloc() and Memory::Free() have not been ready. -*/ TEST(Tensor, MutableData) { { framework::Tensor src_tensor; diff --git a/paddle/framework/tensor_util_test.cc b/paddle/framework/tensor_util_test.cc index f541927c0e..906b0b5656 100644 --- a/paddle/framework/tensor_util_test.cc +++ b/paddle/framework/tensor_util_test.cc @@ -11,18 +11,6 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -/* - Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - http://www.apache.org/licenses/LICENSE-2.0 - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. -*/ #include "paddle/framework/tensor_util.h" #include diff --git a/paddle/framework/type_defs.h b/paddle/framework/type_defs.h index d834d34375..1eedbbc419 100644 --- a/paddle/framework/type_defs.h +++ b/paddle/framework/type_defs.h @@ -35,7 +35,7 @@ using VariableNameMap = std::map>; using Attribute = boost::variant, std::vector, std::vector, bool, - std::vector, BlockDesc*>; + std::vector, BlockDesc*, int64_t>; using AttributeMap = std::unordered_map; diff --git a/paddle/framework/var_desc.h b/paddle/framework/var_desc.h index fc482c4674..9316b14bb6 100644 --- a/paddle/framework/var_desc.h +++ b/paddle/framework/var_desc.h @@ -66,6 +66,8 @@ class VarDesc { std::string Name() const { return desc_.name(); } + void SetName(std::string name) { desc_.set_name(name); } + void SetShape(const std::vector &dims); void SetDataType(proto::DataType data_type); diff --git a/paddle/framework/variable.h b/paddle/framework/variable.h index 03992c8608..3b7ec0a2a9 100644 --- a/paddle/framework/variable.h +++ b/paddle/framework/variable.h @@ -11,18 +11,6 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -/* - Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - http://www.apache.org/licenses/LICENSE-2.0 - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. -*/ #pragma once #include diff --git a/paddle/framework/variable_test.cc b/paddle/framework/variable_test.cc index aea03bcf57..e5585c8724 100644 --- a/paddle/framework/variable_test.cc +++ b/paddle/framework/variable_test.cc @@ -1,15 +1,16 @@ -/* - Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - http://www.apache.org/licenses/LICENSE-2.0 - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. -*/ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. #include #include diff --git a/paddle/gserver/layers/PriorBox.cpp b/paddle/gserver/layers/PriorBox.cpp index 331bc7672e..8faf032f55 100644 --- a/paddle/gserver/layers/PriorBox.cpp +++ b/paddle/gserver/layers/PriorBox.cpp @@ -65,14 +65,19 @@ bool PriorBoxLayer::init(const LayerMap& layerMap, std::copy(pbConf.aspect_ratio().begin(), pbConf.aspect_ratio().end(), std::back_inserter(tmp)); - // flip - int inputRatioLength = tmp.size(); - for (int index = 0; index < inputRatioLength; index++) { - aspectRatio_.push_back(tmp[index]); - aspectRatio_.push_back(1 / tmp[index]); + + if (maxSize_.size() > 0) CHECK_EQ(minSize_.size(), maxSize_.size()); + + // flip aspect ratios + for (unsigned index = 0; index < tmp.size(); index++) { + real ar = tmp[index]; + if (fabs(ar - 1.) < 1e-6) continue; + aspectRatio_.push_back(ar); + aspectRatio_.push_back(1. / ar); } - numPriors_ = aspectRatio_.size(); - if (maxSize_.size() > 0) numPriors_++; + + numPriors_ = aspectRatio_.size() * minSize_.size() + maxSize_.size(); + return true; } @@ -99,50 +104,39 @@ void PriorBoxLayer::forward(PassType passType) { for (int w = 0; w < layerWidth; ++w) { real centerX = (w + 0.5) * stepW; real centerY = (h + 0.5) * stepH; - real minSize = 0; for (size_t s = 0; s < minSize_.size(); s++) { - // first prior. - minSize = minSize_[s]; + real minSize = minSize_[s]; real boxWidth = minSize; real boxHeight = minSize; - // xmin, ymin, xmax, ymax. - tmpPtr[idx++] = (centerX - boxWidth / 2.) / imageWidth; - tmpPtr[idx++] = (centerY - boxHeight / 2.) / imageHeight; - tmpPtr[idx++] = (centerX + boxWidth / 2.) / imageWidth; - tmpPtr[idx++] = (centerY + boxHeight / 2.) / imageHeight; - // set the variance. - for (int t = 0; t < 4; t++) tmpPtr[idx++] = variance_[t]; + + // priors with different aspect ratios + for (size_t r = 0; r < aspectRatio_.size(); r++) { + real ar = aspectRatio_[r]; + boxWidth = minSize * sqrt(ar); + boxHeight = minSize / sqrt(ar); + tmpPtr[idx++] = (centerX - boxWidth / 2.) / imageWidth; + tmpPtr[idx++] = (centerY - boxHeight / 2.) / imageHeight; + tmpPtr[idx++] = (centerX + boxWidth / 2.) / imageWidth; + tmpPtr[idx++] = (centerY + boxHeight / 2.) / imageHeight; + // set the variance. + for (int t = 0; t < 4; t++) tmpPtr[idx++] = variance_[t]; + } if (maxSize_.size() > 0) { - CHECK_EQ(minSize_.size(), maxSize_.size()); - // second prior. - for (size_t s = 0; s < maxSize_.size(); s++) { - real maxSize = maxSize_[s]; - boxWidth = boxHeight = sqrt(minSize * maxSize); - tmpPtr[idx++] = (centerX - boxWidth / 2.) / imageWidth; - tmpPtr[idx++] = (centerY - boxHeight / 2.) / imageHeight; - tmpPtr[idx++] = (centerX + boxWidth / 2.) / imageWidth; - tmpPtr[idx++] = (centerY + boxHeight / 2.) / imageHeight; - // set the variance. - for (int t = 0; t < 4; t++) tmpPtr[idx++] = variance_[t]; - } + // square prior with size sqrt(minSize * maxSize) + real maxSize = maxSize_[s]; + boxWidth = boxHeight = sqrt(minSize * maxSize); + tmpPtr[idx++] = (centerX - boxWidth / 2.) / imageWidth; + tmpPtr[idx++] = (centerY - boxHeight / 2.) / imageHeight; + tmpPtr[idx++] = (centerX + boxWidth / 2.) / imageWidth; + tmpPtr[idx++] = (centerY + boxHeight / 2.) / imageHeight; + // set the variance. + for (int t = 0; t < 4; t++) tmpPtr[idx++] = variance_[t]; } } - // rest of priors. - for (size_t r = 0; r < aspectRatio_.size(); r++) { - real ar = aspectRatio_[r]; - if (fabs(ar - 1.) < 1e-6) continue; - real boxWidth = minSize * sqrt(ar); - real boxHeight = minSize / sqrt(ar); - tmpPtr[idx++] = (centerX - boxWidth / 2.) / imageWidth; - tmpPtr[idx++] = (centerY - boxHeight / 2.) / imageHeight; - tmpPtr[idx++] = (centerX + boxWidth / 2.) / imageWidth; - tmpPtr[idx++] = (centerY + boxHeight / 2.) / imageHeight; - // set the variance. - for (int t = 0; t < 4; t++) tmpPtr[idx++] = variance_[t]; - } } } + // clip the prior's coordidate such that it is within [0, 1] for (int d = 0; d < dim * 2; ++d) if ((d % 8) < 4) diff --git a/paddle/inference/CMakeLists.txt b/paddle/inference/CMakeLists.txt index 8437b2b219..ae4d3fd2f5 100644 --- a/paddle/inference/CMakeLists.txt +++ b/paddle/inference/CMakeLists.txt @@ -1,32 +1,27 @@ -set(FLUID_CORE_MODULES - backward proto_desc paddle_memory executor prune init ${GLOB_OP_LIB}) +set(FLUID_CORE_MODULES proto_desc paddle_memory executor prune init) cc_library(paddle_fluid_api SRCS inference.cc - DEPS ${FLUID_CORE_MODULES}) + DEPS ${FLUID_CORE_MODULES} ${GLOB_OP_LIB}) -# Merge all modules into a simgle static library -cc_library(paddle_fluid DEPS paddle_fluid_api ${FLUID_CORE_MODULES}) +# Merge all modules into a single static library +cc_library(paddle_fluid DEPS paddle_fluid_api ${FLUID_CORE_MODULES} ${GLOB_OP_LIB}) -# ptools -# just for testing, we may need to change the storing format for inference_model -# and move the dependent of pickle. -# download from http://www.picklingtools.com/ -# build in the C++ sub-directory, using command -# make -f Makefile.Linux libptools.so -set(PTOOLS_LIB) -set(PTOOLS_ROOT $ENV{PTOOLS_ROOT} CACHE PATH "Folder contains PicklingTools") -find_path(PTOOLS_INC_DIR chooseser.h PATHS ${PTOOLS_ROOT}/C++) -find_library(PTOOLS_SHARED_LIB NAMES ptools PATHS ${PTOOLS_ROOT}/C++) -if(PTOOLS_INC_DIR AND PTOOLS_SHARED_LIB) - add_definitions(-DPADDLE_USE_PTOOLS) - set(PTOOLS_LIB ptools) - message(STATUS "Found PicklingTools: ${PTOOLS_SHARED_LIB}") - add_library(${PTOOLS_LIB} SHARED IMPORTED GLOBAL) - set_property(TARGET ${PTOOLS_LIB} PROPERTY IMPORTED_LOCATION ${PTOOLS_SHARED_LIB}) - include_directories(${PTOOLS_ROOT}/C++) - include_directories(${PTOOLS_ROOT}/C++/opencontainers_1_8_5/include) - add_definitions(-DOC_NEW_STYLE_INCLUDES) # used in ptools +# Create shared library +add_library(paddle_fluid_shared SHARED inference.cc) + +target_circle_link_libraries(paddle_fluid_shared + ARCHIVE_START + ${GLOB_OP_LIB} + ARCHIVE_END + ${FLUID_CORE_MODULES}) + +SET_TARGET_PROPERTIES(paddle_fluid_shared PROPERTIES OUTPUT_NAME paddle_fluid) + +# install library & headers +if(NOT WITH_C_API AND WITH_FLUID) + install(FILES inference.h DESTINATION include/paddle/inference) + install(TARGETS paddle_fluid_shared DESTINATION lib) endif() add_executable(example example.cc) diff --git a/paddle/inference/example.cc b/paddle/inference/example.cc index 9711b20e6f..0c18b45624 100644 --- a/paddle/inference/example.cc +++ b/paddle/inference/example.cc @@ -18,33 +18,21 @@ limitations under the License. */ #include "paddle/inference/inference.h" DEFINE_string(dirname, "", "Directory of the inference model."); -DEFINE_string(feed_var_names, "", "Names of feeding variables"); -DEFINE_string(fetch_var_names, "", "Names of fetching variables"); int main(int argc, char** argv) { google::ParseCommandLineFlags(&argc, &argv, true); - if (FLAGS_dirname.empty() || FLAGS_feed_var_names.empty() || - FLAGS_fetch_var_names.empty()) { + if (FLAGS_dirname.empty()) { // Example: // ./example --dirname=recognize_digits_mlp.inference.model - // --feed_var_names="x" - // --fetch_var_names="fc_2.tmp_2" - std::cout << "Usage: ./example --dirname=path/to/your/model " - "--feed_var_names=x --fetch_var_names=y" - << std::endl; + std::cout << "Usage: ./example --dirname=path/to/your/model" << std::endl; exit(1); } std::cout << "FLAGS_dirname: " << FLAGS_dirname << std::endl; - std::cout << "FLAGS_feed_var_names: " << FLAGS_feed_var_names << std::endl; - std::cout << "FLAGS_fetch_var_names: " << FLAGS_fetch_var_names << std::endl; - std::string dirname = FLAGS_dirname; - std::vector feed_var_names = {FLAGS_feed_var_names}; - std::vector fetch_var_names = {FLAGS_fetch_var_names}; paddle::InferenceEngine* engine = new paddle::InferenceEngine(); - engine->LoadInferenceModel(dirname, feed_var_names, fetch_var_names); + engine->LoadInferenceModel(dirname); paddle::framework::LoDTensor input; srand(time(0)); diff --git a/paddle/inference/inference.cc b/paddle/inference/inference.cc index 37b8b20ddf..4900177880 100644 --- a/paddle/inference/inference.cc +++ b/paddle/inference/inference.cc @@ -25,19 +25,37 @@ limitations under the License. */ namespace paddle { +void InferenceEngine::LoadInferenceModel(const std::string& dirname) { + std::string model_filename = dirname + "/__model__.dat"; + LOG(INFO) << "loading model from " << model_filename; + std::ifstream inputfs(model_filename, std::ios::in | std::ios::binary); + std::string program_desc_str; + inputfs.seekg(0, std::ios::end); + program_desc_str.resize(inputfs.tellg()); + inputfs.seekg(0, std::ios::beg); + LOG(INFO) << "program_desc_str's size: " << program_desc_str.size(); + inputfs.read(&program_desc_str[0], program_desc_str.size()); + inputfs.close(); + + program_ = new framework::ProgramDesc(program_desc_str); + GenerateLoadProgram(dirname); + + framework::BlockDesc* global_block = program_->MutableBlock(0); + feed_var_names_.clear(); + fetch_var_names_.clear(); + for (auto* op : global_block->AllOps()) { + if (op->Type() == "feed") { + feed_var_names_.insert(feed_var_names_.begin(), op->Output("Out")[0]); + } else if (op->Type() == "fetch") { + fetch_var_names_.push_back(op->Input("X")[0]); + } + } +} + void InferenceEngine::LoadInferenceModel( const std::string& dirname, const std::vector& feed_var_names, const std::vector& fetch_var_names) { -#ifdef PADDLE_USE_PTOOLS - std::string model_filename = dirname + "/__model__"; - LOG(INFO) << "Using PicklingTools, loading model from " << model_filename; - Val v; - LoadValFromFile(model_filename.c_str(), v, SERIALIZE_P0); - std::string program_desc_str = v["program_desc_str"]; - LOG(INFO) << "program_desc_str's size: " << program_desc_str.size(); -// PicklingTools cannot parse the vector of strings correctly. -#else std::string model_filename = dirname + "/__model__.dat"; LOG(INFO) << "loading model from " << model_filename; std::ifstream inputfs(model_filename, std::ios::in | std::ios::binary); @@ -48,7 +66,7 @@ void InferenceEngine::LoadInferenceModel( LOG(INFO) << "program_desc_str's size: " << program_desc_str.size(); inputfs.read(&program_desc_str[0], program_desc_str.size()); inputfs.close(); -#endif + program_ = new framework::ProgramDesc(program_desc_str); GenerateLoadProgram(dirname); @@ -62,7 +80,7 @@ void InferenceEngine::LoadInferenceModel( } bool InferenceEngine::IsParameter(const framework::VarDesc* var) { - if (var->Persistable()) { + if (var->Persistable() && var->Name() != "feed" && var->Name() != "fetch") { // There are many unreachable variables in the program for (size_t i = 0; i < program_->Size(); ++i) { const framework::BlockDesc& block = program_->Block(i); diff --git a/paddle/inference/inference.h b/paddle/inference/inference.h index a3f3ef4b44..7fc09cb9e5 100644 --- a/paddle/inference/inference.h +++ b/paddle/inference/inference.h @@ -28,6 +28,7 @@ public: delete load_program_; } + void LoadInferenceModel(const std::string& dirname); void LoadInferenceModel(const std::string& dirname, const std::vector& feed_var_names, const std::vector& fetch_var_names); diff --git a/paddle/memory/CMakeLists.txt b/paddle/memory/CMakeLists.txt index 8841c14ee0..496098f804 100644 --- a/paddle/memory/CMakeLists.txt +++ b/paddle/memory/CMakeLists.txt @@ -1,7 +1,7 @@ add_subdirectory(detail) cc_library(memory SRCS memory.cc DEPS place enforce) -cc_library(memcpy SRCS memcpy.cc) +cc_library(memcpy SRCS memcpy.cc DEPS place) cc_library(paddle_memory DEPS @@ -14,3 +14,10 @@ cc_library(paddle_memory system_allocator) cc_test(memory_test SRCS memory_test.cc DEPS place paddle_memory) + +if(NOT WITH_C_API AND WITH_FLUID) + file(GLOB MEMORY_HEADERS *.h) + file(GLOB MEMORY_DETAIL_HEADERS detail/*.h) + install(FILES ${MEMORY_HEADERS} DESTINATION include/paddle/memory) + install(FILES ${MEMORY_DETAIL_HEADERS} DESTINATION include/paddle/memory/detail) +endif() diff --git a/paddle/operators/CMakeLists.txt b/paddle/operators/CMakeLists.txt index 2412ebd82a..15f7cb6b56 100644 --- a/paddle/operators/CMakeLists.txt +++ b/paddle/operators/CMakeLists.txt @@ -156,6 +156,7 @@ op_library(parallel_do_op DEPS executor) # Regist multiple Kernel to pybind if (WITH_GPU) op_library(conv_op SRCS conv_op.cc conv_op.cu.cc conv_cudnn_op.cu.cc DEPS vol2col) +op_library(edit_distance_op SRCS edit_distance_op.cc edit_distance_op.cu DEPS math_function) op_library(pool_op SRCS pool_op.cc pool_op.cu.cc pool_cudnn_op.cu.cc DEPS pooling) op_library(conv_transpose_op SRCS conv_transpose_op.cc conv_transpose_op.cu.cc conv_transpose_cudnn_op.cu.cc DEPS vol2col) @@ -178,14 +179,13 @@ foreach(src ${GENERAL_OPS}) endforeach() file(APPEND ${pybind_file} "USE_OP(less_than);\nUSE_OP(logical_and);\nUSE_NO_KERNEL_OP(read_from_array);\n") - set(GLOB_OP_LIB ${OP_LIBRARY} CACHE INTERNAL "Global OP library") - cc_test(gather_test SRCS gather_test.cc DEPS tensor) cc_test(net_op_test SRCS net_op_test.cc DEPS net_op) cc_test(scatter_test SRCS scatter_test.cc DEPS tensor) cc_test(beam_search_decode_op_test SRCS beam_search_decode_op_test.cc DEPS lod_tensor) +cc_test(beam_search_op_test SRCS beam_search_op_test.cc DEPS lod_tensor beam_search_op) cc_test(strided_memcpy_test SRCS strided_memcpy_test.cc DEPS tensor paddle_memory) if(WITH_GPU) cc_test(nccl_op_test SRCS nccl_op_test.cu.cc DEPS nccl_op gpu_info device_context) diff --git a/paddle/operators/assign_value_op.cc b/paddle/operators/assign_value_op.cc index d5671c1183..8e3a530489 100644 --- a/paddle/operators/assign_value_op.cc +++ b/paddle/operators/assign_value_op.cc @@ -1,16 +1,16 @@ -/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. */ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. #include "paddle/operators/assign_value_op.h" diff --git a/paddle/operators/assign_value_op.h b/paddle/operators/assign_value_op.h index db2e430779..ec98c53513 100644 --- a/paddle/operators/assign_value_op.h +++ b/paddle/operators/assign_value_op.h @@ -1,16 +1,16 @@ -/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. */ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. #pragma once diff --git a/paddle/operators/beam_search_op.cc b/paddle/operators/beam_search_op.cc index ed2e7b738a..844ade40eb 100644 --- a/paddle/operators/beam_search_op.cc +++ b/paddle/operators/beam_search_op.cc @@ -24,12 +24,22 @@ namespace operators { void BeamSearch::operator()(const framework::LoDTensor &pre_ids, framework::LoDTensor *selected_ids, framework::LoDTensor *selected_scores) { + auto abs_lod = framework::ToAbsOffset(ids_->lod()); + auto &high_level = abs_lod[lod_level_]; + auto items = SelectTopBeamSizeItems(); - auto selected_items = ToMap(items); + auto selected_items = ToMap(items, high_level.back()); + VLOG(3) << "selected_items:"; + for (size_t i = 0; i < selected_items.size(); ++i) { + VLOG(3) << "offset:" << i; + for (auto &item : selected_items[i]) { + VLOG(3) << ItemToString(item); + } + } PruneEndidCandidates(pre_ids, &selected_items); // calculate the output tensor's height size_t num_instances = std::accumulate( - std::begin(items), std::end(items), 0, + std::begin(selected_items), std::end(selected_items), 0, [](size_t a, std::vector &b) { return a + b.size(); }); // the output tensor shape should be [num_instances, 1] auto dims = framework::make_ddim( @@ -48,42 +58,54 @@ void BeamSearch::operator()(const framework::LoDTensor &pre_ids, size_t low_offset = 0; for (auto &items : selected_items) { low_level.push_back(low_offset); + sort(items.begin(), items.end(), [](const Item &a, const Item &b) { + if (a.offset < b.offset) { + return true; + } + return a.id < b.id; + }); for (auto &item : items) { ids_data[low_offset] = item.id; scores_data[low_offset] = item.score; low_offset++; } } + low_level.push_back(low_offset); + // fill lod - auto abs_lod = framework::ToAbsOffset(ids_->lod()); - auto &high_level = abs_lod[lod_level_]; framework::LoD lod(2); lod[0].assign(high_level.begin(), high_level.end()); lod[1].assign(low_level.begin(), low_level.end()); + if (!framework::CheckLoD(lod)) { + PADDLE_THROW("lod %s is not right", framework::LoDToString(lod)); + } selected_ids->set_lod(lod); selected_scores->set_lod(lod); } -void BeamSearch::PruneEndidCandidates(const framework::LoDTensor &pre_ids, - std::vector> *items) { +int BeamSearch::PruneEndidCandidates(const framework::LoDTensor &pre_ids, + std::vector> *items) { auto *pre_ids_data = pre_ids.data(); + int res = 0; for (size_t offset = 0; offset < items->size(); offset++) { auto prefix_id = pre_ids_data[offset]; if (prefix_id == end_id_) { items->at(offset).clear(); + } else { + res++; } } + + return res; } std::vector> BeamSearch::ToMap( - const std::vector> &items) { + const std::vector> &items, size_t element_num) { std::vector> result; + result.resize(element_num); for (auto &entries : items) { for (const auto &item : entries) { - if (item.offset >= result.size()) { - result.resize(item.offset + 1); - } result[item.offset].push_back(item); } } @@ -109,6 +131,14 @@ BeamSearch::SelectTopBeamSizeItems() { } result.emplace_back(items); } + VLOG(3) << "SelectTopBeamSizeItems result size " << result.size(); + for (auto &items : result) { + VLOG(3) << "item set:"; + for (auto &item : items) { + VLOG(3) << ItemToString(item); + } + } + return result; } @@ -121,11 +151,7 @@ bool BeamSearch::NextItemSet(std::vector *items) { auto ids = *ids_; auto scores = *scores_; - auto source_abs_two_level_lod = framework::SliceInLevel( - ids.lod(), lod_level_, sent_offset_, sent_offset_ + 1); - source_abs_two_level_lod = framework::ToAbsOffset(source_abs_two_level_lod); auto abs_lod = framework::ToAbsOffset(ids.lod()); - PADDLE_ENFORCE_GE(source_abs_two_level_lod.size(), 2UL); auto *ids_data = ids.data(); auto *scores_data = scores.data(); @@ -150,6 +176,22 @@ bool BeamSearch::NextItemSet(std::vector *items) { return true; } +std::ostream &operator<<(std::ostream &os, const BeamSearch::Item &item) { + os << "{"; + os << "offset: " << item.offset << ", "; + os << "id: " << item.id << ", "; + os << "score: " << item.score << ""; + os << "}"; + + return os; +} + +std::string ItemToString(const BeamSearch::Item &item) { + std::ostringstream stream; + stream << item; + return stream.str(); +} + class BeamSearchProtoAndCheckerMaker : public framework::OpProtoAndCheckerMaker { public: @@ -177,8 +219,40 @@ class BeamSearchProtoAndCheckerMaker } }; +class BeamSearchInferShape : public framework::InferShapeBase { + public: + void operator()(framework::InferShapeContext *context) const override { + for (const std::string &arg : + std::vector({"pre_ids", "ids", "scores"})) { + PADDLE_ENFORCE(context->HasInput(arg), + "BeamSearch need input argument '%s'", arg); + } + for (const std::string &arg : + std::vector({"selected_ids", "selected_scores"})) { + PADDLE_ENFORCE(context->HasOutput(arg), + "BeamSearch need output argument '%s'", arg); + } + } +}; + +class BeamSearchInferVarType : public framework::VarTypeInference { + public: + void operator()(const framework::OpDesc &op_desc, + framework::BlockDesc *block) const override { + for (auto &o : op_desc.Output("selected_ids")) { + block->Var(o)->SetType(framework::proto::VarDesc::LOD_TENSOR); + } + for (auto &o : op_desc.Output("selected_scores")) { + block->Var(o)->SetType(framework::proto::VarDesc::LOD_TENSOR); + } + } +}; + } // namespace operators } // namespace paddle -REGISTER_OP_WITHOUT_GRADIENT(beam_search, paddle::operators::BeamSearchOp, - paddle::operators::BeamSearchProtoAndCheckerMaker); +REGISTER_OPERATOR(beam_search, paddle::operators::BeamSearchOp, + paddle::operators::BeamSearchProtoAndCheckerMaker, + paddle::operators::BeamSearchInferShape, + paddle::operators::BeamSearchInferVarType, + paddle::framework::EmptyGradOpMaker); diff --git a/paddle/operators/beam_search_op.h b/paddle/operators/beam_search_op.h index 08b551ef9b..7ad85874fc 100644 --- a/paddle/operators/beam_search_op.h +++ b/paddle/operators/beam_search_op.h @@ -73,7 +73,15 @@ namespace operators { * second level: * [0, 2, 4] * - * tensor's data + * id tensor's data + * [[ + * 4, + * 1, + * 3, + * 8, + * ]] + * + * score tensor's data * [[ * 0.5, * 0.3, @@ -128,8 +136,6 @@ class BeamSearch { void operator()(const framework::LoDTensor& pre_ids, framework::LoDTensor* selected_ids, framework::LoDTensor* selected_scores); - - protected: /* * The basic items help to sort. */ @@ -137,23 +143,29 @@ class BeamSearch { Item() {} Item(size_t offset, size_t id, float score) : offset(offset), id(id), score(score) {} - // offset in the lod_level_+1 + // offset in the higher lod level. size_t offset; + // // prefix id in the lower lod level. + // size_t prefix; // the candidate id id_t id; // the corresponding score score_t score; }; - void PruneEndidCandidates(const framework::LoDTensor& pre_ids, - std::vector>* items); + protected: + /* + * Delete all the records that follows the end token. + */ + int PruneEndidCandidates(const framework::LoDTensor& pre_ids, + std::vector>* items); /* * Transform the items into a map whose key is offset, value is the items. * NOTE low performance */ std::vector> ToMap( - const std::vector>& inputs); + const std::vector>& inputs, size_t element_num); /* * For each source, select top beam_size records. @@ -174,6 +186,10 @@ class BeamSearch { int end_id_{0}; }; +std::ostream& operator<<(std::ostream& os, const BeamSearch::Item& item); + +std::string ItemToString(const BeamSearch::Item& item); + class BeamSearchOp : public framework::OperatorBase { public: BeamSearchOp(const std::string& type, @@ -190,7 +206,6 @@ class BeamSearchOp : public framework::OperatorBase { void Run(const framework::Scope& scope, const platform::Place& dev_place) const override { - LOG(INFO) << "run beam search op"; auto ids_var = scope.FindVar(Input("ids")); auto scores_var = scope.FindVar(Input("scores")); auto pre_ids_var = scope.FindVar(Input("pre_ids")); @@ -204,10 +219,8 @@ class BeamSearchOp : public framework::OperatorBase { size_t level = Attr("level"); size_t beam_size = Attr("beam_size"); int end_id = Attr("end_id"); - LOG(INFO) << "init beam search"; BeamSearch alg(ids, scores, level, beam_size, end_id); - LOG(INFO) << "after beam search"; auto selected_ids_var = scope.FindVar(Output("selected_ids")); auto selected_scores_var = scope.FindVar(Output("selected_scores")); PADDLE_ENFORCE_NOT_NULL(selected_ids_var); @@ -216,9 +229,7 @@ class BeamSearchOp : public framework::OperatorBase { *selected_ids_var->GetMutable(); auto& selected_scores_tensor = *selected_scores_var->GetMutable(); - LOG(INFO) << "run beam search"; alg(pre_ids, &selected_ids_tensor, &selected_scores_tensor); - LOG(INFO) << "finish beam search"; } }; diff --git a/paddle/operators/beam_search_op_test.cc b/paddle/operators/beam_search_op_test.cc new file mode 100644 index 0000000000..d4beb64a85 --- /dev/null +++ b/paddle/operators/beam_search_op_test.cc @@ -0,0 +1,86 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. */ + +#include "paddle/operators/beam_search_op.h" + +#include +#include + +namespace paddle { +namespace test { + +using std::vector; +using framework::LoDTensor; +using framework::LoD; +using operators::BeamSearch; +using paddle::platform::CPUPlace; +using std::cout; +using std::endl; + +void CreateInput(LoDTensor* ids, LoDTensor* scores) { + LoD lod; + vector level0({0, 1, 4}); + vector level1({0, 1, 2, 3, 4}); + lod.push_back(level0); + lod.push_back(level1); + ids->set_lod(lod); + scores->set_lod(lod); + + auto dims = framework::make_ddim(vector({4, 3})); + ids->Resize(dims); + scores->Resize(dims); + CPUPlace place; + + auto* ids_data = ids->mutable_data(place); + auto* scores_data = scores->mutable_data(place); + vector _ids({4, 2, 5, 2, 1, 3, 3, 5, 2, 8, 2, 1}); + vector _scores( + {0.5, 0.3, 0.2, 0.6, 0.3, 0.1, 0.9, 0.5, 0.1, 0.7, 0.5, 0.1}); + + for (int i = 0; i < 12; i++) { + ids_data[i] = _ids[i]; + scores_data[i] = _scores[i]; + } +} + +TEST(beam_search_op, run) { + CPUPlace place; + LoDTensor ids, scores; + CreateInput(&ids, &scores); + + LoDTensor pre_ids; + pre_ids.Resize(framework::make_ddim(vector(4, 1))); + for (int i = 0; i < 4; i++) { + pre_ids.mutable_data(place)[i] = i + 1; + } + + BeamSearch beamsearch(ids, scores, (int64_t)0, (int64_t)2, 0); + LoDTensor sids, sscores; + beamsearch(pre_ids, &sids, &sscores); + + LOG(INFO) << "score: " << sscores << endl; + + ASSERT_EQ(sids.lod(), sscores.lod()); + + vector tids({2, 4, 3, 8}); + vector tscores({0.3, 0.5, 0.9, 0.7}); + + for (int i = 0; i < 4; i++) { + ASSERT_EQ(tids[i], sids.data()[i]); + ASSERT_EQ(tscores[i], sscores.data()[i]); + } +} + +} // namespace test +} // namespace paddle diff --git a/paddle/operators/bipartite_match_op.cc b/paddle/operators/bipartite_match_op.cc new file mode 100644 index 0000000000..83c8778fe4 --- /dev/null +++ b/paddle/operators/bipartite_match_op.cc @@ -0,0 +1,189 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + +http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include "paddle/framework/op_registry.h" +#include "paddle/operators/math/math_function.h" + +namespace paddle { +namespace operators { + +using Tensor = framework::Tensor; +using LoDTensor = framework::LoDTensor; + +class BipartiteMatchOp : public framework::OperatorWithKernel { + public: + using framework::OperatorWithKernel::OperatorWithKernel; + + void InferShape(framework::InferShapeContext* ctx) const override { + PADDLE_ENFORCE(ctx->HasInput("DistMat"), + "Input(DistMat) of BipartiteMatch should not be null."); + + auto dims = ctx->GetInputDim("DistMat"); + PADDLE_ENFORCE_EQ(dims.size(), 2, "The rank of Input(DistMat) must be 2."); + + ctx->SetOutputDim("ColToRowMatchIndices", dims); + ctx->SetOutputDim("ColToRowMatchDis", dims); + } +}; + +template +class BipartiteMatchKernel : public framework::OpKernel { + public: + // The match_indices must be initialized to -1 at first. + // The match_dist must be initialized to 0 at first. + void BipartiteMatch(const Tensor& dist, int* match_indices, + T* match_dist) const { + constexpr T kEPS = static_cast(1e-6); + PADDLE_ENFORCE_EQ(dist.dims().size(), 2, "The rank of dist must be 2."); + int64_t row = dist.dims()[0]; + int64_t col = dist.dims()[1]; + auto* dist_data = dist.data(); + std::vector row_pool; + for (int i = 0; i < row; ++i) { + row_pool.push_back(i); + } + while (row_pool.size() > 0) { + int max_idx = -1; + int max_row_idx = -1; + T max_dist = -1; + for (int64_t j = 0; j < col; ++j) { + if (match_indices[j] != -1) { + continue; + } + for (size_t k = 0; k < row_pool.size(); ++k) { + int m = row_pool[k]; + // distance is 0 between m-th row and j-th column + if (dist_data[m * col + j] < kEPS) { + continue; + } + if (dist_data[m * col + j] > max_dist) { + max_idx = j; + max_row_idx = m; + max_dist = dist_data[m * col + j]; + } + } + } + if (max_idx == -1) { + // Cannot find good match. + break; + } else { + PADDLE_ENFORCE_EQ(match_indices[max_idx], -1); + match_indices[max_idx] = max_row_idx; + match_dist[max_idx] = max_dist; + // Erase the row index. + row_pool.erase( + std::find(row_pool.begin(), row_pool.end(), max_row_idx)); + } + } + } + + void Compute(const framework::ExecutionContext& context) const override { + auto* dist_mat = context.Input("DistMat"); + auto* match_indices = context.Output("ColToRowMatchIndices"); + auto* match_dist = context.Output("ColToRowMatchDis"); + + auto& dev_ctx = context.device_context(); + + auto col = dist_mat->dims()[1]; + + int64_t n = dist_mat->lod().size() == 0UL + ? 1 + : static_cast(dist_mat->lod().back().size() - 1); + if (dist_mat->lod().size()) { + PADDLE_ENFORCE_EQ(dist_mat->lod().size(), 1UL, + "Only support 1 level of LoD."); + } + match_indices->mutable_data({n, col}, context.GetPlace()); + match_dist->mutable_data({n, col}, context.GetPlace()); + + math::SetConstant iset; + iset(dev_ctx, match_indices, static_cast(-1)); + math::SetConstant tset; + tset(dev_ctx, match_dist, static_cast(0)); + + int* indices = match_indices->data(); + T* dist = match_dist->data(); + if (n == 1) { + BipartiteMatch(*dist_mat, indices, dist); + } else { + auto lod = dist_mat->lod().back(); + for (size_t i = 0; i < lod.size() - 1; ++i) { + Tensor one_ins = dist_mat->Slice(lod[i], lod[i + 1]); + BipartiteMatch(one_ins, indices + i * col, dist + i * col); + } + } + } +}; + +class BipartiteMatchOpMaker : public framework::OpProtoAndCheckerMaker { + public: + BipartiteMatchOpMaker(OpProto* proto, OpAttrChecker* op_checker) + : OpProtoAndCheckerMaker(proto, op_checker) { + AddInput( + "DistMat", + "(LoDTensor or Tensor) this input is a 2-D LoDTensor with shape " + "[K, M]. It is pair-wise distance matrix between the entities " + "represented by each row and each column. For example, assumed one " + "entity is A with shape [K], another entity is B with shape [M]. The " + "DistMat[i][j] is the distance between A[i] and B[j]. The bigger " + "the distance is, the better macthing the pairs are. Please note, " + "This tensor can contain LoD information to represent a batch of " + "inputs. One instance of this batch can contain different numbers of " + "entities."); + AddOutput("ColToRowMatchIndices", + "(Tensor) A 2-D Tensor with shape [N, M] in int type. " + "N is the batch size. If ColToRowMatchIndices[i][j] is -1, it " + "means B[j] does not match any entity in i-th instance. " + "Otherwise, it means B[j] is matched to row " + "ColToRowMatchIndices[i][j] in i-th instance. The row number of " + "i-th instance is saved in ColToRowMatchIndices[i][j]."); + AddOutput("ColToRowMatchDis", + "(Tensor) A 2-D Tensor with shape [N, M] in float type. " + "N is batch size. If ColToRowMatchIndices[i][j] is -1, " + "ColToRowMatchDis[i][j] is also -1.0. Otherwise, assumed " + "ColToRowMatchIndices[i][j] = d, and the row offsets of each " + "instance are called LoD. Then " + "ColToRowMatchDis[i][j] = DistMat[d+LoD[i]][j]"); + AddComment(R"DOC( +This operator is a greedy bipartite matching algorithm, which is used to +obtain the matching with the maximum distance based on the input +distance matrix. For input 2D matrix, the bipartite matching algorithm can +find the matched column for each row, also can find the matched row for +each column. And this operator only calculate matched indices from column +to row. For each instance, the number of matched indices is the number of +of columns of the input ditance matrix. + +There are two outputs to save matched indices and distance. +A simple description, this algothrim matched the best (maximum distance) +row entity to the column entity and the matched indices are not duplicated +in each row of ColToRowMatchIndices. If the column entity is not matched +any row entity, set -1 in ColToRowMatchIndices. + +Please note that the input DistMat can be LoDTensor (with LoD) or Tensor. +If LoDTensor with LoD, the height of ColToRowMatchIndices is batch size. +If Tensor, the height of ColToRowMatchIndices is 1. + +)DOC"); + } +}; + +} // namespace operators +} // namespace paddle + +namespace ops = paddle::operators; +REGISTER_OPERATOR(bipartite_match, ops::BipartiteMatchOp, + ops::BipartiteMatchOpMaker, + paddle::framework::EmptyGradOpMaker); +REGISTER_OP_CPU_KERNEL(bipartite_match, ops::BipartiteMatchKernel, + ops::BipartiteMatchKernel); diff --git a/paddle/operators/clip_op.cc b/paddle/operators/clip_op.cc index 573bb9c7df..7adb74eab7 100644 --- a/paddle/operators/clip_op.cc +++ b/paddle/operators/clip_op.cc @@ -51,8 +51,8 @@ class ClipOpMaker : public framework::OpProtoAndCheckerMaker { AddComment(R"DOC( Clip Operator. -The clip operator limits the value of given input within an interval. The interval is -specified with arguments 'min' and 'max': +The clip operator limits the value of given input within an interval. The +interval is specified with arguments 'min' and 'max': $$ Out = \min(\max(X, min), max) diff --git a/paddle/operators/compare_op.cc b/paddle/operators/compare_op.cc index daa2c193b4..930c295a9c 100644 --- a/paddle/operators/compare_op.cc +++ b/paddle/operators/compare_op.cc @@ -39,6 +39,11 @@ N-dim tensor. X and Y could be any type. The each element of the Out tensor is calculated by %s )DOC", comment.type, comment.equation)); + AddAttr("axis", + "(int, default -1). The start dimension index " + "for broadcasting Y onto X.") + .SetDefault(-1) + .EqualGreaterThan(-1); } }; @@ -95,11 +100,5 @@ REGISTER_LOGICAL_OP(less_than, "Out = X < Y"); REGISTER_LOGICAL_KERNEL(less_than, CPU, paddle::operators::LessThanFunctor); REGISTER_LOGICAL_OP(less_equal, "Out = X <= Y"); REGISTER_LOGICAL_KERNEL(less_equal, CPU, paddle::operators::LessEqualFunctor); -REGISTER_LOGICAL_OP(greater_than, "Out = X > Y"); -REGISTER_LOGICAL_KERNEL(greater_than, CPU, - paddle::operators::GreaterThanFunctor); -REGISTER_LOGICAL_OP(greater_equal, "Out = X >= Y"); -REGISTER_LOGICAL_KERNEL(greater_equal, CPU, - paddle::operators::GreaterEqualFunctor); REGISTER_LOGICAL_OP(equal, "Out = X == Y"); REGISTER_LOGICAL_KERNEL(equal, CPU, paddle::operators::EqualFunctor); diff --git a/paddle/operators/compare_op.cu b/paddle/operators/compare_op.cu index 26049271be..f625824dbc 100644 --- a/paddle/operators/compare_op.cu +++ b/paddle/operators/compare_op.cu @@ -16,8 +16,4 @@ limitations under the License. */ REGISTER_LOGICAL_KERNEL(less_than, CUDA, paddle::operators::LessThanFunctor); REGISTER_LOGICAL_KERNEL(less_equal, CUDA, paddle::operators::LessEqualFunctor); -REGISTER_LOGICAL_KERNEL(greater_than, CUDA, - paddle::operators::GreaterThanFunctor); -REGISTER_LOGICAL_KERNEL(greater_equal, CUDA, - paddle::operators::GreaterEqualFunctor); REGISTER_LOGICAL_KERNEL(equal, CUDA, paddle::operators::EqualFunctor); diff --git a/paddle/operators/compare_op.h b/paddle/operators/compare_op.h index 567e89c0a7..9c655d6c0d 100644 --- a/paddle/operators/compare_op.h +++ b/paddle/operators/compare_op.h @@ -16,6 +16,7 @@ limitations under the License. */ #include #include #include "paddle/framework/op_registry.h" +#include "paddle/operators/elementwise_op_function.h" #include "paddle/platform/transform.h" namespace paddle { @@ -33,18 +34,6 @@ struct LessEqualFunctor { HOSTDEVICE bool operator()(const T& a, const T& b) const { return a <= b; } }; -template -struct GreaterThanFunctor { - using ELEM_TYPE = T; - HOSTDEVICE bool operator()(const T& a, const T& b) const { return a > b; } -}; - -template -struct GreaterEqualFunctor { - using ELEM_TYPE = T; - HOSTDEVICE bool operator()(const T& a, const T& b) const { return a >= b; } -}; - template struct EqualFunctor { using ELEM_TYPE = T; @@ -65,14 +54,7 @@ class CompareOpKernel public: void Compute(const framework::ExecutionContext& context) const override { using T = typename Functor::ELEM_TYPE; - auto* x = context.Input("X"); - auto* y = context.Input("Y"); - auto* out = context.Output("Out"); - Functor binary_func; - platform::Transform trans; - trans(context.template device_context(), x->data(), - x->data() + x->numel(), y->data(), - out->mutable_data(context.GetPlace()), binary_func); + ElementwiseComputeEx(context); } }; diff --git a/paddle/operators/conv_op.cc b/paddle/operators/conv_op.cc index 424eccdb7d..d6882b275b 100644 --- a/paddle/operators/conv_op.cc +++ b/paddle/operators/conv_op.cc @@ -70,6 +70,13 @@ void ConvOp::InferShape(framework::InferShapeContext* ctx) const { framework::OpKernelType ConvOp::GetExpectedKernelType( const framework::ExecutionContext& ctx) const { bool use_cudnn = ctx.Attr("use_cudnn"); + use_cudnn &= platform::is_gpu_place(ctx.GetPlace()); +#ifdef PADDLE_WITH_CUDA + if (platform::is_gpu_place(ctx.GetPlace())) { + auto& dev_ctx = ctx.template device_context(); + use_cudnn &= dev_ctx.cudnn_handle() != nullptr; + } +#endif framework::LibraryType library_; if (use_cudnn) { library_ = framework::LibraryType::kCUDNN; @@ -283,6 +290,14 @@ void ConvOpGrad::InferShape(framework::InferShapeContext* ctx) const { framework::OpKernelType ConvOpGrad::GetExpectedKernelType( const framework::ExecutionContext& ctx) const { bool use_cudnn = ctx.Attr("use_cudnn"); + use_cudnn &= platform::is_gpu_place(ctx.GetPlace()); +#ifdef PADDLE_WITH_CUDA + if (platform::is_gpu_place(ctx.GetPlace())) { + auto& dev_ctx = ctx.template device_context(); + use_cudnn &= dev_ctx.cudnn_handle() != nullptr; + } +#endif + framework::LibraryType library_; if (use_cudnn) { library_ = framework::LibraryType::kCUDNN; diff --git a/paddle/operators/conv_transpose_op.cc b/paddle/operators/conv_transpose_op.cc index cf4e8c0a30..089290a506 100644 --- a/paddle/operators/conv_transpose_op.cc +++ b/paddle/operators/conv_transpose_op.cc @@ -61,6 +61,13 @@ void ConvTransposeOp::InferShape(framework::InferShapeContext* ctx) const { framework::OpKernelType ConvTransposeOp::GetExpectedKernelType( const framework::ExecutionContext& ctx) const { bool use_cudnn = ctx.Attr("use_cudnn"); + use_cudnn &= platform::is_gpu_place(ctx.GetPlace()); +#ifdef PADDLE_WITH_CUDA + if (platform::is_gpu_place(ctx.GetPlace())) { + auto& dev_ctx = ctx.template device_context(); + use_cudnn &= dev_ctx.cudnn_handle() != nullptr; + } +#endif framework::LibraryType library_; if (use_cudnn) { library_ = framework::LibraryType::kCUDNN; @@ -153,8 +160,8 @@ Example: Output shape: $(N, C_{out}, H_{out}, W_{out})$ Where $$ - H_{out} = (H_{in} - 1) * strides[0] - 2 * paddings[0] + H_f \\ - W_{out} = (W_{in} - 1) * strides[1] - 2 * paddings[1] + W_f + H_{out} = (H_{in} - 1) * strides[0] - 2 * paddings[0] + dilations[0] * (H_f - 1) + 1 \\ + W_{out} = (W_{in} - 1) * strides[1] - 2 * paddings[1] + dilations[1] * (W_f - 1) + 1 $$ )DOC"); } @@ -242,9 +249,9 @@ Example: Output shape: $(N, C_{out}, D_{out}, H_{out}, W_{out})$ Where $$ - D_{out} = (D_{in} - 1) * strides[0] - 2 * paddings[0] + D_f \\ - H_{out} = (H_{in} - 1) * strides[1] - 2 * paddings[1] + H_f \\ - W_{out} = (W_{in} - 1) * strides[2] - 2 * paddings[2] + W_f + D_{out} = (D_{in} - 1) * strides[0] - 2 * paddings[0] + dilations[0] * (D_f - 1) + 1 \\ + H_{out} = (H_{in} - 1) * strides[1] - 2 * paddings[1] + dilations[1] * (H_f - 1) + 1 \\ + W_{out} = (W_{in} - 1) * strides[2] - 2 * paddings[2] + dilations[2] * (W_f - 1) + 1 $$ )DOC"); } @@ -263,6 +270,13 @@ void ConvTransposeOpGrad::InferShape(framework::InferShapeContext* ctx) const { framework::OpKernelType ConvTransposeOpGrad::GetExpectedKernelType( const framework::ExecutionContext& ctx) const { bool use_cudnn = ctx.Attr("use_cudnn"); + use_cudnn &= platform::is_gpu_place(ctx.GetPlace()); +#ifdef PADDLE_WITH_CUDA + if (platform::is_gpu_place(ctx.GetPlace())) { + auto& dev_ctx = ctx.template device_context(); + use_cudnn &= dev_ctx.cudnn_handle() != nullptr; + } +#endif framework::LibraryType library_; if (use_cudnn) { library_ = framework::LibraryType::kCUDNN; diff --git a/paddle/operators/conv_transpose_op.h b/paddle/operators/conv_transpose_op.h index a42ade41b1..8c0d57afcd 100644 --- a/paddle/operators/conv_transpose_op.h +++ b/paddle/operators/conv_transpose_op.h @@ -141,9 +141,9 @@ class GemmConvTransposeKernel : public framework::OpKernel { if (data_dim == 2U) { // col2im: col_matrix -> dy // from (c * k_h * k_w, h * w) to (c, o_h, o_w) - col2im(dev_ctx, col, std::vector{dilations[0], dilations[1]}, - strides, std::vector{paddings[0], paddings[1], paddings[0], - paddings[1]}, + col2im(dev_ctx, col, dilations, strides, + std::vector{paddings[0], paddings[1], paddings[0], + paddings[1]}, &output_batch); } else if (data_dim == 3U) { // col2vol: col_matrix -> dy @@ -247,8 +247,7 @@ class GemmConvTransposeGradKernel : public framework::OpKernel { if (data_dim == 2U) { // im2col: dy -> col matrix // from (c, o_h, o_w) to (c * k_h * k_w, h * w) - im2col(dev_ctx, output_grad_batch, - std::vector{dilations[0], dilations[1]}, strides, + im2col(dev_ctx, output_grad_batch, dilations, strides, std::vector{paddings[0], paddings[1], paddings[0], paddings[1]}, &col); diff --git a/paddle/operators/ctc_align_op.cc b/paddle/operators/ctc_align_op.cc new file mode 100644 index 0000000000..eeecbd3212 --- /dev/null +++ b/paddle/operators/ctc_align_op.cc @@ -0,0 +1,93 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include "paddle/operators/ctc_align_op.h" + +namespace paddle { +namespace operators { + +class CTCAlignOp : public framework::OperatorWithKernel { + public: + using framework::OperatorWithKernel::OperatorWithKernel; + + void InferShape(framework::InferShapeContext* ctx) const override { + PADDLE_ENFORCE(ctx->HasInput("Input"), + "Input of CTCAlignOp should not be null."); + PADDLE_ENFORCE(ctx->HasOutput("Output"), + "Output of CTCAlignOp should not be null."); + + auto input_dims = ctx->GetInputDim("Input"); + + // TODO(wanghaoshuang): it is tricky to set the wrong dimension here. + ctx->SetOutputDim("Output", input_dims); + } + + protected: + framework::OpKernelType GetExpectedKernelType( + const framework::ExecutionContext& ctx) const override { + return framework::OpKernelType( + framework::ToDataType(ctx.Input("Input")->type()), + ctx.device_context()); + } +}; + +class CTCAlignOpMaker : public framework::OpProtoAndCheckerMaker { + public: + CTCAlignOpMaker(OpProto* proto, OpAttrChecker* op_checker) + : OpProtoAndCheckerMaker(proto, op_checker) { + AddInput("Input", + "(LodTensor, default: LoDTensor), Its shape is " + "[Lp, 1], where Lp is the sum of all input sequences' length."); + AddOutput("Output", "(Tensor, default: Tensor), The align result."); + AddAttr("blank", + "(int, default: 0), the blank label setted in Connectionist " + "Temporal Classification (CTC) op.") + .SetDefault(0); + AddAttr("merge_repeated", + "(bool, default: true), whether to " + "merge repeated elements between two blanks. ") + .SetDefault(true); + AddComment(R"DOC( +CTCAlign op is used to merge repeated elements between two blanks +and then delete all blanks in sequence. + +Given: + Input.data = [0, 1, 2, 2, 0, 4, 0, 4, 5, 0, 6, + 6, 0, 0, 7, 7, 7, 0] + Input.dims = {18, 1} + Input.LoD = [[0, 11, 18]] + +And: + blank = 0 + merge_repeated = True + +Then: + Output.data = [1, 2, 4, 4, 5, 6, + 6, 7] + Output.dims = {8, 1} + Output.LoD = [[0, 6, 8]] + +)DOC"); + } +}; + +} // namespace operators +} // namespace paddle + +namespace ops = paddle::operators; +REGISTER_OPERATOR(ctc_align, ops::CTCAlignOp, ops::CTCAlignOpMaker, + paddle::framework::EmptyGradOpMaker); +REGISTER_OP_CPU_KERNEL( + ctc_align, ops::CTCAlignKernel, + ops::CTCAlignKernel); diff --git a/paddle/operators/ctc_align_op.cu b/paddle/operators/ctc_align_op.cu new file mode 100644 index 0000000000..45635f1674 --- /dev/null +++ b/paddle/operators/ctc_align_op.cu @@ -0,0 +1,91 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include +#include +#include +#include "paddle/operators/ctc_align_op.h" + +namespace paddle { +namespace operators { + +template +__global__ void MergeAndDelCudaKernel(const int64_t num_token, const T* tokens, + const size_t num_seq, size_t* lod0, + const int blank, const int merge_repeated, + size_t* out_lod0, T* output) { + int ouput_idx = 0; + out_lod0[0] = 0; + + for (int i = 0; i < num_seq; ++i) { + T pre_token = -1; + for (int j = lod0[i]; j < lod0[i + 1]; ++j) { + if (tokens[j] != blank && !(merge_repeated && tokens[j] == pre_token)) { + output[ouput_idx] = tokens[j]; + ++ouput_idx; + } + pre_token = tokens[j]; + } + out_lod0[i + 1] = ouput_idx; + } +} + +template +class CTCAlignOpCUDAKernel : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext& ctx) const override { + PADDLE_ENFORCE(platform::is_gpu_place(ctx.GetPlace()), + "It must use CUDAPlace."); + const size_t level = 0; + auto* input = ctx.Input("Input"); + auto* output = ctx.Output("Output"); + auto input_lod = framework::ToAbsOffset(input->lod()); + + const T* tokens = input->data(); + const int64_t num_tokens = input->dims()[0]; + const size_t num_seq = input_lod[level].size() - 1; + + const int blank = ctx.Attr("blank"); + const int merge_repeated = + static_cast(ctx.Attr("merge_repeated")); + + // prepare a lod to record lod information while merging elements + thrust::device_vector dev_out_lod0(input_lod[level].size()); + size_t* dev_out_lod0_ptr = thrust::raw_pointer_cast(dev_out_lod0.data()); + + // merge elements and delete blank + T* output_data = output->mutable_data({num_tokens, 1}, ctx.GetPlace()); + + auto stream = ctx.cuda_device_context().stream(); + MergeAndDelCudaKernel<<<1, 1, 0, stream>>>( + num_tokens, tokens, num_seq, input_lod[level].data(), blank, + merge_repeated, dev_out_lod0_ptr, output_data); + + // set output lod + thrust::host_vector host_out_lod0(dev_out_lod0.begin(), + dev_out_lod0.end()); + framework::LoD out_lod; + out_lod.push_back(host_out_lod0); + output->set_lod(out_lod); + + // resize output dims + output->Resize({static_cast(host_out_lod0.back()), 1}); + } +}; + +} // namespace operators +} // namespace paddle + +REGISTER_OP_CUDA_KERNEL(ctc_align, paddle::operators::CTCAlignOpCUDAKernel, + paddle::operators::CTCAlignOpCUDAKernel); diff --git a/paddle/operators/ctc_align_op.h b/paddle/operators/ctc_align_op.h new file mode 100644 index 0000000000..fed89aa1e8 --- /dev/null +++ b/paddle/operators/ctc_align_op.h @@ -0,0 +1,75 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#pragma once + +#include +#include "paddle/framework/op_registry.h" +namespace paddle { +namespace operators { + +using Tensor = framework::Tensor; +using LoDTensor = framework::LoDTensor; + +template +class CTCAlignKernel : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext& ctx) const override { + auto* input = ctx.Input("Input"); + auto* output = ctx.Output("Output"); + const size_t level = 0; + auto input_lod = framework::ToAbsOffset(input->lod()); + + // check input dims and lod + auto input_dims = input->dims(); + PADDLE_ENFORCE_EQ(input_dims[0], + static_cast(input_lod[level].back()), + "The first dimension of Input(Input) should be equal to " + "the sum of all sequences' lengths."); + + const size_t num_sequences = input_lod[level].size() - 1; + size_t blank = static_cast(ctx.Attr("blank")); + bool merge_repeated = ctx.Attr("merge_repeated"); + + // merge repeated tokens and delete blank + T* output_data = output->mutable_data(ctx.GetPlace()); + size_t output_idx = 0; + std::vector output_lod0(1, 0); + const T* input_data = input->data(); + for (size_t seq_idx = 0; seq_idx < num_sequences; ++seq_idx) { + T prev_token = -1; + for (size_t i = input_lod[level][seq_idx]; + i < input_lod[level][seq_idx + 1]; ++i) { + if ((unsigned)input_data[i] != blank && + !(merge_repeated && input_data[i] == prev_token)) { + output_data[output_idx] = input_data[i]; + ++output_idx; + } + prev_token = input_data[i]; + } + output_lod0.push_back(output_idx); + } + + // set output lod + framework::LoD output_lod; + output_lod.push_back(output_lod0); + output->set_lod(output_lod); + + // resize output dims + output->Resize({static_cast(output_lod0.back()), 1}); + } +}; + +} // namespace operators +} // namespace paddle diff --git a/paddle/operators/detail/grpc_client.cc b/paddle/operators/detail/grpc_client.cc index aee56ffe01..1e41587c41 100644 --- a/paddle/operators/detail/grpc_client.cc +++ b/paddle/operators/detail/grpc_client.cc @@ -63,9 +63,6 @@ bool RPCClient::AsyncGetVariable(const std::string& ep, sendrecv::VariableMessage req; req.set_varname(var_name); - auto* var = scope.FindVar(var_name); - SerializeToMessage(var_name, var, ctx, &req); - // varhandle VarHandle var_h; var_h.ep = ep; diff --git a/paddle/operators/detail/grpc_server.cc b/paddle/operators/detail/grpc_server.cc index c0b94746a0..3ddcd839bd 100644 --- a/paddle/operators/detail/grpc_server.cc +++ b/paddle/operators/detail/grpc_server.cc @@ -36,7 +36,10 @@ class RequestBase { CallStatus Status() { return status_; } void SetStatus(CallStatus status) { status_ = status; } - virtual std::string GetReqName() { assert(false); } + virtual std::string GetReqName() { + assert(false); + return ""; + } protected: grpc::ServerContext ctx_; @@ -80,11 +83,13 @@ class RequestGet final : public RequestBase { public: explicit RequestGet(sendrecv::SendRecvService::AsyncService* service, grpc::ServerCompletionQueue* cq, framework::Scope* scope, - const platform::DeviceContext* dev_ctx) + const platform::DeviceContext* dev_ctx, + SimpleBlockQueue* queue) : RequestBase(service, cq), responder_(&ctx_), scope_(scope), - dev_ctx_(dev_ctx) { + dev_ctx_(dev_ctx), + queue_(queue) { service_->RequestGetVariable(&ctx_, &request_, &responder_, cq_, cq_, this); } @@ -100,6 +105,7 @@ class RequestGet final : public RequestBase { // TODO(gongwb): check var's info. responder_.Finish(reply_, grpc::Status::OK, this); status_ = FINISH; + queue_->Push('c'); } protected: @@ -108,8 +114,15 @@ class RequestGet final : public RequestBase { ServerAsyncResponseWriter responder_; framework::Scope* scope_; const platform::DeviceContext* dev_ctx_; + SimpleBlockQueue* queue_; }; +void AsyncGRPCServer::WaitClientGet(int count) { + for (int i = 0; i < count; ++i) { + var_get_queue_.Pop(); + } +} + void AsyncGRPCServer::RunSyncUpdate() { grpc::ServerBuilder builder; builder.AddListeningPort(address_, grpc::InsecureServerCredentials()); @@ -149,7 +162,6 @@ void AsyncGRPCServer::ShutdownQueue() { } // This URL explains why shutdown is complicate: -// https://stackoverflow.com/questions/35708348/grpc-what-is-the-recommended-way-to-shut-down-an-asynchronous-server-in-c void AsyncGRPCServer::ShutDown() { server_->Shutdown(); ShutdownQueue(); @@ -170,10 +182,12 @@ void AsyncGRPCServer::TryToRegisterNewGetOne() { if (is_shut_down_) { return; } - RequestGet* get = new RequestGet(&service_, cq_get_.get(), scope_, dev_ctx_); + RequestGet* get = new RequestGet(&service_, cq_get_.get(), scope_, dev_ctx_, + &var_get_queue_); VLOG(4) << "create Requestget status:" << get->Status(); } +// FIXME(typhoonzero): remove wait argument and change cq_name to enum. void AsyncGRPCServer::HandleRequest(bool wait, grpc::ServerCompletionQueue* cq, std::string cq_name, std::function TryToRegisterNewOne) { @@ -188,9 +202,9 @@ void AsyncGRPCServer::HandleRequest(bool wait, grpc::ServerCompletionQueue* cq, } PADDLE_ENFORCE(tag); - if (wait && !done_) { - Wait(); - } + // FIXME(typhoonzero): de-couple the barriers with recv_op + if (cq_name == "cq_get") WaitCond(1); + if (cq_name == "cq_send") WaitCond(0); RequestBase* base = (RequestBase*)tag; // reference: @@ -222,22 +236,18 @@ void AsyncGRPCServer::HandleRequest(bool wait, grpc::ServerCompletionQueue* cq, } } -void AsyncGRPCServer::Wait() { - std::unique_lock lock(this->mutex_); - condition_.wait(lock, [=] { return this->done_ == true; }); -} - -void AsyncGRPCServer::Reset() { - std::lock_guard lock(this->mutex_); - done_ = false; +void AsyncGRPCServer::WaitCond(int cond) { + std::unique_lock lock(this->barrier_mutex_); + barrier_condition_.wait(lock, + [=] { return this->barrier_cond_step_ == cond; }); } -void AsyncGRPCServer::Done() { +void AsyncGRPCServer::SetCond(int cond) { { - std::lock_guard lock(this->mutex_); - done_ = true; + std::lock_guard lock(this->barrier_mutex_); + barrier_cond_step_ = cond; } - condition_.notify_all(); + barrier_condition_.notify_all(); } } // namespace detail diff --git a/paddle/operators/detail/grpc_server.h b/paddle/operators/detail/grpc_server.h index 2c078b7777..1ca9086c74 100644 --- a/paddle/operators/detail/grpc_server.h +++ b/paddle/operators/detail/grpc_server.h @@ -41,9 +41,10 @@ class AsyncGRPCServer final : public sendrecv::SendRecvService::Service { void RunSyncUpdate(); - void Reset(); - - void Done(); + // functions to sync server barrier status. + void WaitCond(int cond); + void SetCond(int cond); + void WaitClientGet(int count); void SetScope(framework::Scope *scope) { scope_ = scope; } @@ -56,7 +57,6 @@ class AsyncGRPCServer final : public sendrecv::SendRecvService::Service { void ShutDown(); protected: - void Wait(); void HandleRequest(bool wait, grpc::ServerCompletionQueue *cq, std::string cq_name, std::function TryToRegisterNewOne); @@ -78,11 +78,12 @@ class AsyncGRPCServer final : public sendrecv::SendRecvService::Service { const platform::DeviceContext *dev_ctx_; // received variable from RPC, operators fetch variable from this queue. SimpleBlockQueue var_recv_queue_; + SimpleBlockQueue var_get_queue_; // condition of the sub program - std::mutex mutex_; - volatile mutable bool done_; - std::condition_variable condition_; + std::mutex barrier_mutex_; + mutable int barrier_cond_step_; + std::condition_variable barrier_condition_; std::unique_ptr t_send_; std::unique_ptr t_get_; diff --git a/paddle/operators/edit_distance_op.cc b/paddle/operators/edit_distance_op.cc index e383f07fa9..7e7dfc79eb 100644 --- a/paddle/operators/edit_distance_op.cc +++ b/paddle/operators/edit_distance_op.cc @@ -25,6 +25,8 @@ class EditDistanceOp : public framework::OperatorWithKernel { PADDLE_ENFORCE(ctx->HasInput("Hyps"), "Input(Hyps) shouldn't be null."); PADDLE_ENFORCE(ctx->HasInput("Refs"), "Input(Refs) shouldn't be null."); PADDLE_ENFORCE(ctx->HasOutput("Out"), "Output(Out) shouldn't be null."); + PADDLE_ENFORCE(ctx->HasOutput("SequenceNum"), + "Output(SequenceNum) shouldn't be null."); auto hyp_dims = ctx->GetInputDim("Hyps"); auto ref_dims = ctx->GetInputDim("Refs"); PADDLE_ENFORCE(hyp_dims.size() == 2 && hyp_dims[1] == 1, @@ -34,6 +36,7 @@ class EditDistanceOp : public framework::OperatorWithKernel { "Input(Refs) must be a 2-D LoDTensor with the 2nd dimension " "equal to 1."); ctx->SetOutputDim("Out", ctx->GetInputDim("Refs")); + ctx->SetOutputDim("SequenceNum", {1}); } protected: @@ -49,11 +52,12 @@ class EditDistanceOpMaker : public framework::OpProtoAndCheckerMaker { EditDistanceOpMaker(OpProto *proto, OpAttrChecker *op_checker) : OpProtoAndCheckerMaker(proto, op_checker) { AddInput("Hyps", - "(2-D LoDTensor, 2nd dim. equal to 1) " + "(2-D LoDTensor, 2nd dim. equal to 1) " "The indices for hypothesis strings."); AddInput("Refs", - "(2-D LoDTensor, 2nd dim. equal to 1) " + "(2-D LoDTensor, 2nd dim. equal to 1) " "The indices for reference strings."); + AddOutput("SequenceNum", "The sequence count of current batch"); AddAttr("normalized", "(bool, default false) Indicated whether to normalize " "the edit distance by the length of reference string.") @@ -66,22 +70,22 @@ class EditDistanceOpMaker : public framework::OpProtoAndCheckerMaker { EditDistance operator computes the edit distances between a batch of hypothesis strings and their references. -Edit distance, also called Levenshtein distance, measures how dissimilar two strings -are by counting the minimum number of operations to transform one string into anthor. -Here the operations include insertion, deletion, and substitution. For example, -given hypothesis string A = "kitten" and reference B = "sitting", the edit distance -is 3 for A will be transformed into B at least after two substitutions and one +Edit distance, also called Levenshtein distance, measures how dissimilar two strings +are by counting the minimum number of operations to transform one string into anthor. +Here the operations include insertion, deletion, and substitution. For example, +given hypothesis string A = "kitten" and reference B = "sitting", the edit distance +is 3 for A will be transformed into B at least after two substitutions and one insertion: - + "kitten" -> "sitten" -> "sittin" -> "sitting" -Input(Hyps) is a LoDTensor consisting of all the hypothesis strings with the total -number denoted by `batch_size`, and the separation is specified by the LoD information. -And the `batch_size` reference strings are arranged in order in the same way in the +Input(Hyps) is a LoDTensor consisting of all the hypothesis strings with the total +number denoted by `batch_size`, and the separation is specified by the LoD information. +And the `batch_size` reference strings are arranged in order in the same way in the LoDTensor Input(Refs). -Output(Out) contains the `batch_size` results and each stands for the edit stance -for a pair of strings respectively. If Attr(normalized) is true, the edit distance +Output(Out) contains the `batch_size` results and each stands for the edit stance +for a pair of strings respectively. If Attr(normalized) is true, the edit distance will be divided by the length of reference string. )DOC"); } diff --git a/paddle/operators/edit_distance_op.cu b/paddle/operators/edit_distance_op.cu index cf5ebc5c38..c3e116af08 100644 --- a/paddle/operators/edit_distance_op.cu +++ b/paddle/operators/edit_distance_op.cu @@ -14,6 +14,7 @@ limitations under the License. */ #include #include "paddle/framework/op_registry.h" +#include "paddle/operators/math/math_function.h" #include "paddle/platform/cuda_helper.h" #include "paddle/platform/gpu_info.h" @@ -39,8 +40,8 @@ __global__ void FillFirstColumn(T* dist, const int M, const int N) { } template -__global__ void Levenshtein(T* dist, const int* x1, const int* x2, const int M, - const int N, const int start) { +__global__ void Levenshtein(T* dist, const int64_t* x1, const int64_t* x2, + const int M, const int N, const int start) { int idx = blockDim.x * blockIdx.x + threadIdx.x; int offset = N; int index = start + idx * offset; @@ -72,6 +73,8 @@ class EditDistanceGPUKernel : public framework::OpKernel { auto* x1_t = ctx.Input("Hyps"); auto* x2_t = ctx.Input("Refs"); + auto* sequence_num = ctx.Output("SequenceNum"); + sequence_num->mutable_data(ctx.GetPlace()); auto normalized = ctx.Attr("normalized"); auto stream = reinterpret_cast( @@ -88,7 +91,11 @@ class EditDistanceGPUKernel : public framework::OpKernel { "Reference string %d is empty.", i); } - auto num_strs = hyp_lod.size() - 1; + const size_t num_strs = hyp_lod.size() - 1; + math::SetConstant set_constant; + set_constant(ctx.template device_context(), + sequence_num, static_cast(num_strs)); + out_t->Resize({static_cast(num_strs), 1}); out_t->mutable_data(ctx.GetPlace()); auto out = out_t->data(); @@ -113,8 +120,8 @@ class EditDistanceGPUKernel : public framework::OpKernel { dist_t.Resize({m + 1, n + 1}); dist_t.mutable_data(ctx.GetPlace()); auto dist = dist_t.data(); - auto x1 = x1_t->data() + hyp_lod[num]; - auto x2 = x2_t->data() + ref_lod[num]; + auto x1 = x1_t->data() + hyp_lod[num]; + auto x2 = x2_t->data() + ref_lod[num]; FillFirstColumn<<<1 + m / PADDLE_CUDA_NUM_THREADS, PADDLE_CUDA_NUM_THREADS, 0, stream>>>(dist, m, n); diff --git a/paddle/operators/edit_distance_op.h b/paddle/operators/edit_distance_op.h index 537e70281a..974299e604 100644 --- a/paddle/operators/edit_distance_op.h +++ b/paddle/operators/edit_distance_op.h @@ -16,7 +16,6 @@ limitations under the License. */ #include #include "paddle/framework/eigen.h" #include "paddle/framework/op_registry.h" - namespace paddle { namespace operators { @@ -28,6 +27,8 @@ class EditDistanceKernel : public framework::OpKernel { auto* x1_t = ctx.Input("Hyps"); auto* x2_t = ctx.Input("Refs"); + auto* sequence_num = ctx.Output("SequenceNum"); + int64_t* seq_num_data = sequence_num->mutable_data(ctx.GetPlace()); auto normalized = ctx.Attr("normalized"); @@ -41,6 +42,7 @@ class EditDistanceKernel : public framework::OpKernel { "Reference string %d is empty.", i); } auto num_strs = hyp_lod.size() - 1; + *seq_num_data = static_cast(num_strs); out_t->Resize({static_cast(num_strs), 1}); out_t->mutable_data(ctx.GetPlace()); @@ -60,8 +62,8 @@ class EditDistanceKernel : public framework::OpKernel { dist_t.Resize({m + 1, n + 1}); dist_t.mutable_data(ctx.GetPlace()); auto dist = dist_t.data(); - auto x1 = x1_t->data() + hyp_lod[num]; - auto x2 = x2_t->data() + ref_lod[num]; + auto x1 = x1_t->data() + hyp_lod[num]; + auto x2 = x2_t->data() + ref_lod[num]; for (int64_t i = 0; i < m + 1; ++i) { dist[i * (n + 1)] = i; } diff --git a/paddle/operators/elementwise_div_op.h b/paddle/operators/elementwise_div_op.h index 7783875e24..ef26cb6c91 100644 --- a/paddle/operators/elementwise_div_op.h +++ b/paddle/operators/elementwise_div_op.h @@ -19,11 +19,16 @@ limitations under the License. */ namespace paddle { namespace operators { +template +struct DivFunctor { + inline HOSTDEVICE T operator()(T a, T b) const { return a / b; } +}; + template class ElementwiseDivKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { - ElementwiseCompute(ctx); + ElementwiseComputeEx, DeviceContext, T>(ctx); } }; diff --git a/paddle/operators/elementwise_mul_op.h b/paddle/operators/elementwise_mul_op.h index 0e6559eacc..4b86b00b5a 100644 --- a/paddle/operators/elementwise_mul_op.h +++ b/paddle/operators/elementwise_mul_op.h @@ -18,11 +18,16 @@ limitations under the License. */ namespace paddle { namespace operators { +template +struct MulFunctor { + inline HOSTDEVICE T operator()(T a, T b) const { return a * b; } +}; + template class ElementwiseMulKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { - ElementwiseCompute(ctx); + ElementwiseComputeEx, DeviceContext, T>(ctx); } }; diff --git a/paddle/operators/elementwise_op.h b/paddle/operators/elementwise_op.h index a342595b54..1a0131d8b9 100644 --- a/paddle/operators/elementwise_op.h +++ b/paddle/operators/elementwise_op.h @@ -26,9 +26,9 @@ class ElementwiseOp : public framework::OperatorWithKernel { using Tensor = framework::Tensor; void InferShape(framework::InferShapeContext* ctx) const override { PADDLE_ENFORCE(ctx->HasInput("X"), - "Input(X) of elementwise op should not be null"); + "Input(X) of elementwise op should not be null."); PADDLE_ENFORCE(ctx->HasInput("Y"), - "Input(Y) of elementwise op should not be null"); + "Input(Y) of elementwise op should not be null."); PADDLE_ENFORCE(ctx->HasOutput("Out"), "Output(Out) of elementwise op should not be null."); @@ -45,12 +45,12 @@ class ElementwiseOpMaker : public framework::OpProtoAndCheckerMaker { public: ElementwiseOpMaker(OpProto* proto, OpAttrChecker* op_checker) : OpProtoAndCheckerMaker(proto, op_checker) { - AddInput("X", "(Tensor) The first input tensor of elementwise op"); - AddInput("Y", "(Tensor) The second input tensor of elementwise op"); - AddOutput("Out", "The output of elementwise op"); + AddInput("X", "(Tensor), The first input tensor of elementwise op."); + AddInput("Y", "(Tensor), The second input tensor of elementwise op."); + AddOutput("Out", "The output of elementwise op."); AddAttr("axis", - "(int, default -1) The starting dimension index " - "for broadcasting Y onto X") + "(int, default -1). The start dimension index " + "for broadcasting Y onto X.") .SetDefault(-1) .EqualGreaterThan(-1); comment_ = R"DOC( @@ -58,19 +58,18 @@ Limited Elementwise {name} Operator. The equation is: -.. math:: - {equation} +$${equation}$$ -X is a tensor of any dimension and the dimensions of tensor Y must be smaller than -or equal to the dimensions of X. +$X$ is a tensor of any dimension and the dimensions of tensor $Y$ must be +smaller than or equal to the dimensions of $X$. There are two cases for this operator: -1. The shape of Y is same with X; -2. The shape of Y is a subset of X. +1. The shape of $Y$ is same with $X$; +2. The shape of $Y$ is a subset of $X$. For case 2: -Y will be broadcasted to match the shape of X and axis should be -the starting dimension index for broadcasting Y onto X. +$Y$ will be broadcasted to match the shape of $X$ and axis should be +set to index of the start dimension to broadcast $Y$ onto $X$. For example .. code-block:: python @@ -81,7 +80,8 @@ For example shape(X) = (2, 3, 4, 5), shape(Y) = (3, 4), with axis=1 shape(X) = (2, 3, 4, 5), shape(Y) = (2), with axis=0 -Either of the inputs X and Y or none can carry the LoD (Level of Details) information. However, the output only shares the LoD information with input X. +Either of the inputs $X$ and $Y$ or none can carry the LoD (Level of Details) +information. However, the output only shares the LoD information with input $X$. )DOC"; AddComment(comment_); diff --git a/paddle/operators/elementwise_op_function.h b/paddle/operators/elementwise_op_function.h index be11d5cc9d..d749b8e875 100644 --- a/paddle/operators/elementwise_op_function.h +++ b/paddle/operators/elementwise_op_function.h @@ -176,14 +176,15 @@ class MidWiseTransformIterator }; #endif -template +template class TransformFunctor { public: TransformFunctor(const framework::Tensor* x, const framework::Tensor* y, framework::Tensor* z, const DeviceContext& ctx, Functor func) : x_(x->data()), y_(y->data()), - z_(z->mutable_data(ctx.GetPlace())), + z_(z->mutable_data(ctx.GetPlace())), nx_(x->numel()), ctx_(ctx), func_(func) {} @@ -208,7 +209,7 @@ class TransformFunctor { private: const T* x_; const T* y_; - T* z_; + OutType* z_; int64_t nx_; const DeviceContext& ctx_; Functor func_; @@ -340,6 +341,13 @@ void ElementwiseGradCompute(const framework::ExecutionContext& ctx) { return; } + if (y_dims.size() == 1 && y_dims[0] == 1) { + // y is a scalar + auto extended_dims = framework::vectorize(x_dims); + extended_dims.push_back(1); + x_dims = framework::make_ddim(extended_dims); + } + int axis = ctx.Attr("axis"); axis = (axis == -1 ? x_dims.size() - y_dims.size() : axis); @@ -357,15 +365,16 @@ void ElementwiseGradCompute(const framework::ExecutionContext& ctx) { } } -template +template void ElementwiseComputeEx(const framework::ExecutionContext& ctx) { using Tensor = framework::Tensor; auto* x = ctx.Input("X"); auto* y = ctx.Input("Y"); auto* z = ctx.Output("Out"); - z->mutable_data(ctx.GetPlace()); - TransformFunctor functor( + z->mutable_data(ctx.GetPlace()); + TransformFunctor functor( x, y, z, ctx.template device_context(), Functor()); auto x_dims = x->dims(); @@ -378,6 +387,13 @@ void ElementwiseComputeEx(const framework::ExecutionContext& ctx) { return; } + if (y_dims.size() == 1 && y_dims[0] == 1) { + // y is a scalar + auto extended_dims = framework::vectorize(x_dims); + extended_dims.push_back(1); + x_dims = framework::make_ddim(extended_dims); + } + int axis = ctx.Attr("axis"); axis = (axis == -1 ? x_dims.size() - y_dims.size() : axis); PADDLE_ENFORCE(axis >= 0 && axis < x_dims.size(), diff --git a/paddle/operators/elementwise_sub_op.h b/paddle/operators/elementwise_sub_op.h index 347e92f87c..a2aca79302 100644 --- a/paddle/operators/elementwise_sub_op.h +++ b/paddle/operators/elementwise_sub_op.h @@ -18,11 +18,16 @@ limitations under the License. */ namespace paddle { namespace operators { +template +struct SubFunctor { + inline HOSTDEVICE T operator()(T a, T b) const { return a - b; } +}; + template class ElementwiseSubKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& ctx) const override { - ElementwiseCompute(ctx); + ElementwiseComputeEx, DeviceContext, T>(ctx); } }; diff --git a/paddle/operators/expand_op.cc b/paddle/operators/expand_op.cc index 08fa91ed72..043c93654d 100644 --- a/paddle/operators/expand_op.cc +++ b/paddle/operators/expand_op.cc @@ -58,21 +58,21 @@ class ExpandOpMaker : public framework::OpProtoAndCheckerMaker { ExpandOpMaker(OpProto* proto, OpAttrChecker* op_checker) : OpProtoAndCheckerMaker(proto, op_checker) { AddInput("X", - "(Tensor, default Tensor) A tensor with rank in [1, 6]." - "X is the input tensor to be expanded."); + "(Tensor, default Tensor). A tensor with rank in [1, 6]." + "X is the input to be expanded."); AddOutput("Out", - "(Tensor, default Tensor) A tensor with rank in [1, 6]." - "The rank of Output(Out) is same as Input(X) except that each " - "dimension size of Output(Out) is equal to corresponding " - "dimension size of Input(X) multiplying corresponding value of " - "Attr(expand_times)."); + "(Tensor, default Tensor). A tensor with rank in [1, 6]." + "The rank of Output(Out) have the same with Input(X). " + "After expanding, size of each dimension of Output(Out) is equal " + "to size of the corresponding dimension of Input(X) multiplying " + "the corresponding value given by Attr(expand_times)."); AddAttr>("expand_times", "Expand times number for each dimension."); AddComment(R"DOC( Expand operator tiles the input by given times number. You should set times number for each dimension by providing attribute 'expand_times'. The rank of X -should be in [1, 6]. Please notice that size of 'expand_times' must be same with -X's rank. Following is a using case: +should be in [1, 6]. Please note that size of 'expand_times' must be the same +with X's rank. Following is a using case: Input(X) is a 3-D tensor with shape [2, 3, 1]: diff --git a/paddle/operators/im2sequence_op.cc b/paddle/operators/im2sequence_op.cc new file mode 100644 index 0000000000..31baaedf69 --- /dev/null +++ b/paddle/operators/im2sequence_op.cc @@ -0,0 +1,157 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include "paddle/operators/im2sequence_op.h" + +namespace paddle { +namespace operators { + +class Im2SequenceOp : public framework::OperatorWithKernel { + public: + using framework::OperatorWithKernel::OperatorWithKernel; + + protected: + void InferShape(framework::InferShapeContext* ctx) const override { + PADDLE_ENFORCE(ctx->HasInput("X"), + "Input(X) of Im2SequenceOp should not be null."); + PADDLE_ENFORCE(ctx->HasOutput("Out"), + "Output(Out) of Im2SequenceOp op should not be null."); + + auto in_dim = ctx->GetInputDim("X"); + PADDLE_ENFORCE_EQ(in_dim.size(), 4, + "Input(X) format must be 4D tensor, eg., NCHW."); + + auto kernels = ctx->Attrs().Get>("kernels"); + auto strides = ctx->Attrs().Get>("strides"); + auto paddings = ctx->Attrs().Get>("paddings"); + + int batch_size = in_dim[0]; + int img_channels = in_dim[1]; + int img_height = in_dim[2]; + int img_width = in_dim[3]; + + int output_height = OutputSize(img_height, kernels[0], paddings[0], + paddings[2], strides[0]); + int output_width = + OutputSize(img_width, kernels[1], paddings[1], paddings[3], strides[1]); + + ctx->SetOutputDim("Out", {batch_size * output_height * output_width, + img_channels * kernels[0] * kernels[1]}); + } +}; + +class Im2SequenceOpMaker : public framework::OpProtoAndCheckerMaker { + public: + Im2SequenceOpMaker(OpProto* proto, OpAttrChecker* op_checker) + : OpProtoAndCheckerMaker(proto, op_checker) { + AddInput("X", + "(Tensor) The input tensor has NCHW format." + "N: batch size" + "C: channels" + "H: height" + "W: width"); + AddOutput("Out", "(LodTensor) The output data of im2sequence op,"); + AddAttr>("kernels", + "(vector), the " + "kernels(kernel_height, kernel_width)"); + AddAttr>("strides", + "(vector default:{1, 1}), the " + "strides(h_stride, w_stride)") + .SetDefault({1, 1}); + AddAttr>("paddings", + "(vector default:{0, 0, 0, 0}), the " + "paddings(up_pad, left_pad, down_pad, right_pad)") + .SetDefault({0, 0, 0, 0}); + AddComment(R"DOC( +This op uses kernels to scan images and converts these images to sequences. +After expanding, The number of time steps are output_height * output_width +and the dimension of each time step is kernel_height * kernel_width * channels, +in which: + +output_height = + 1 + (padding_height + padding_down + img_height - kernel_height + stride_height - 1) / + stride_height; +output_width = + 1 + (padding_left + padding+right + img_width - kernel_width + stride_width - 1) / + stride_width; + +This op can be used after convolution neural network, and before recurrent neural network. + +Given: + +x = [[[[ 6. 2. 1.] + [ 8. 3. 5.] + [ 0. 2. 6.]] + + [[ 2. 4. 4.] + [ 6. 3. 0.] + [ 6. 4. 7.]]] + + [[[ 6. 7. 1.] + [ 5. 7. 9.] + [ 2. 4. 8.]] + + [[ 1. 2. 1.] + [ 1. 3. 5.] + [ 9. 0. 8.]]]] +x.dims = {2, 2, 3, 3} + +And: + +kernels = [2, 2] +strides = [1, 1] +paddings = [0, 0, 0, 0] + +Then: + +output.data = [[ 6. 2. 8. 3. 2. 4. 6. 3.] + [ 2. 1. 3. 5. 4. 4. 3. 0.] + [ 8. 3. 0. 2. 6. 3. 6. 4.] + [ 3. 5. 2. 6. 3. 0. 4. 7.] + [ 6. 7. 5. 7. 1. 2. 1. 3.] + [ 7. 1. 7. 9. 2. 1. 3. 5.] + [ 5. 7. 2. 4. 1. 3. 9. 0.] + [ 7. 9. 4. 8. 3. 5. 0. 8.]] +output.dims = {8, 9} +output.lod = [[0, 4, 8]] + +)DOC"); + } +}; + +class Im2SequenceGradOp : public framework::OperatorWithKernel { + public: + using framework::OperatorWithKernel::OperatorWithKernel; + + protected: + void InferShape(framework::InferShapeContext* ctx) const override { + PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) should not be null"); + PADDLE_ENFORCE(ctx->HasInput(framework::GradVarName("Out")), + "Input(Out@GRAD) shouldn't be null."); + ctx->SetOutputDim(framework::GradVarName("X"), ctx->GetInputDim("X")); + } +}; + +} // namespace operators +} // namespace paddle + +namespace ops = paddle::operators; +REGISTER_OP(im2sequence, ops::Im2SequenceOp, ops::Im2SequenceOpMaker, + im2sequence_grad, ops::Im2SequenceGradOp); +REGISTER_OP_CPU_KERNEL( + im2sequence, + ops::Im2SequenceKernel); +REGISTER_OP_CPU_KERNEL( + im2sequence_grad, + ops::Im2SequenceGradKernel); diff --git a/paddle/operators/im2sequence_op.cu b/paddle/operators/im2sequence_op.cu new file mode 100644 index 0000000000..9db7529112 --- /dev/null +++ b/paddle/operators/im2sequence_op.cu @@ -0,0 +1,25 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. */ + +#define EIGEN_USE_GPU +#include "paddle/operators/im2sequence_op.h" + +namespace ops = paddle::operators; + +REGISTER_OP_CUDA_KERNEL( + im2sequence, + ops::Im2SequenceKernel); +REGISTER_OP_CUDA_KERNEL( + im2sequence_grad, + ops::Im2SequenceGradKernel); diff --git a/paddle/operators/im2sequence_op.h b/paddle/operators/im2sequence_op.h new file mode 100644 index 0000000000..f33aec71a9 --- /dev/null +++ b/paddle/operators/im2sequence_op.h @@ -0,0 +1,135 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + + Licensed under the Apache License, Version 2.0 (the "License"); + You may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. */ + +#pragma once + +#include "paddle/framework/data_layout.h" +#include "paddle/framework/eigen.h" +#include "paddle/framework/op_registry.h" +#include "paddle/operators/math/im2col.h" +#include "paddle/operators/math/math_function.h" + +namespace paddle { +namespace operators { + +using Tensor = framework::Tensor; +using LoDTensor = framework::LoDTensor; + +inline int OutputSize(int input_size, int filter_size, int padding_0, + int padding_1, int stride) { + const int output_size = + (input_size + padding_0 + padding_1 - filter_size) / stride + 1; + return output_size; +} + +template +class Im2SequenceKernel : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext& ctx) const override { + const Tensor* in = ctx.Input("X"); + LoDTensor* out = ctx.Output("Out"); + out->mutable_data(ctx.GetPlace()); + // TODO(wanghaoshuang): Add layout checker after 'set_layout' + // being available for python API + // PADDLE_ENFORCE_EQ(in->layout(), framework::DataLayout::kNCHW, + // "Input(X) layout must be NCHW"); + auto in_dim = in->dims(); + int batch_size = in_dim[0]; + int img_channels = in_dim[1]; + int img_height = in_dim[2]; + int img_width = in_dim[3]; + + auto kernels = ctx.Attr>("kernels"); + auto strides = ctx.Attr>("strides"); + auto paddings = ctx.Attr>("paddings"); + int output_height = OutputSize(img_height, kernels[0], paddings[0], + paddings[2], strides[0]); + int output_width = + OutputSize(img_width, kernels[1], paddings[1], paddings[3], strides[1]); + + const std::vector dilations({1, 1}); + + auto out_dims = out->dims(); + out->Resize({batch_size, out->numel() / batch_size}); + for (int i = 0; i < batch_size; i++) { + const Tensor src = + in->Slice(i, i + 1).Resize({img_channels, img_height, img_width}); + Tensor dst = out->Slice(i, i + 1).Resize( + {output_height, output_width, img_channels, kernels[0], kernels[1]}); + + math::Im2ColFunctor f; + auto& dev_ctx = ctx.template device_context(); + f(dev_ctx, src, dilations, strides, paddings, &dst); + } + out->Resize(out_dims); + + // set lod information + // TODO(wanghaoshuang): Move this to InferShape + framework::LoD lod(1); + lod[0].reserve(batch_size + 1); + for (int i = 0, offset = 0; i < batch_size + 1; ++i) { + lod[0].push_back(offset); + offset += output_height * output_width; + } + out->set_lod(lod); + } +}; + +template +class Im2SequenceGradKernel : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext& ctx) const override { + auto* in = ctx.Input("X"); + Tensor* d_out = + const_cast(ctx.Input(framework::GradVarName("Out"))); + auto* d_x = ctx.Output(framework::GradVarName("X")); + d_x->mutable_data(ctx.GetPlace()); + + auto x_v = framework::EigenVector::Flatten(*d_x); + auto& place = *ctx.template device_context().eigen_device(); + x_v.device(place) = x_v.constant(0.0); + + auto in_dim = in->dims(); + int batch_size = in_dim[0]; + int img_channels = in_dim[1]; + int img_height = in_dim[2]; + int img_width = in_dim[3]; + + auto kernels = ctx.Attr>("kernels"); + auto strides = ctx.Attr>("strides"); + auto paddings = ctx.Attr>("paddings"); + int output_height = OutputSize(img_height, kernels[0], paddings[0], + paddings[2], strides[0]); + int output_width = + OutputSize(img_width, kernels[1], paddings[1], paddings[3], strides[1]); + + const std::vector dilations({1, 1}); + + auto d_out_dims = d_out->dims(); + d_out->Resize({batch_size, d_out->numel() / batch_size}); + for (int i = 0; i < batch_size; i++) { + Tensor dst = + d_x->Slice(i, i + 1).Resize({img_channels, img_height, img_width}); + const Tensor src = d_out->Slice(i, i + 1).Resize( + {output_height, output_width, img_channels, kernels[0], kernels[1]}); + math::Col2ImFunctor f; + auto& dev_ctx = ctx.template device_context(); + f(dev_ctx, src, dilations, strides, paddings, &dst); + } + d_out->Resize(d_out_dims); + } +}; + +} // namespace operators +} // namespace paddle diff --git a/paddle/operators/iou_similarity_op.cc b/paddle/operators/iou_similarity_op.cc new file mode 100755 index 0000000000..c520b28b83 --- /dev/null +++ b/paddle/operators/iou_similarity_op.cc @@ -0,0 +1,96 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include "paddle/operators/iou_similarity_op.h" + +namespace paddle { +namespace operators { + +class IOUSimilarityOp : public framework::OperatorWithKernel { + public: + using framework::OperatorWithKernel::OperatorWithKernel; + + protected: + void InferShape(framework::InferShapeContext *ctx) const override { + PADDLE_ENFORCE(ctx->HasInput("X"), + "Input(X) of IOUSimilarityOp should not be null."); + PADDLE_ENFORCE(ctx->HasInput("Y"), + "Input(Y) of IOUSimilarityOp should not be null."); + auto x_dims = ctx->GetInputDim("X"); + auto y_dims = ctx->GetInputDim("Y"); + + PADDLE_ENFORCE_EQ(x_dims.size(), 2UL, "The rank of Input(X) must be 2."); + PADDLE_ENFORCE_EQ(x_dims[1], 4UL, "The shape of X is [N, 4]"); + PADDLE_ENFORCE_EQ(y_dims.size(), 2UL, "The rank of Input(Y) must be 2."); + PADDLE_ENFORCE_EQ(y_dims[1], 4UL, "The shape of Y is [M, 4]"); + + ctx->ShareLoD("X", /*->*/ "Out"); + ctx->SetOutputDim("Out", framework::make_ddim({x_dims[0], y_dims[0]})); + } +}; + +class IOUSimilarityOpMaker : public framework::OpProtoAndCheckerMaker { + public: + IOUSimilarityOpMaker(OpProto *proto, OpAttrChecker *op_checker) + : OpProtoAndCheckerMaker(proto, op_checker) { + AddInput("X", + "(LoDTensor, default LoDTensor) " + "Box list X is a 2-D LoDTensor with shape [N, 4] holds N boxes, " + "each box is represented as [xmin, ymin, xmax, ymax], " + "the shape of X is [N, 4]. [xmin, ymin] is the left top " + "coordinate of the box if the input is image feature map, they " + "are close to the origin of the coordinate system. " + "[xmax, ymax] is the right bottom coordinate of the box. " + "This tensor can contain LoD information to represent a batch " + "of inputs. One instance of this batch can contain different " + "numbers of entities."); + AddInput("Y", + "(Tensor, default Tensor) " + "Box list Y holds M boxes, each box is represented as " + "[xmin, ymin, xmax, ymax], the shape of X is [N, 4]. " + "[xmin, ymin] is the left top coordinate of the box if the " + "input is image feature map, and [xmax, ymax] is the right " + "bottom coordinate of the box."); + + AddOutput("Out", + "(LoDTensor, the lod is same as input X) The output of " + "iou_similarity op, a tensor with shape [N, M] " + "representing pairwise iou scores."); + + AddComment(R"DOC( +IOU Similarity Operator. +Computes intersection-over-union (IOU) between two box lists. + Box list 'X' should be a LoDTensor and 'Y' is a common Tensor, + boxes in 'Y' are shared by all instance of the batched inputs of X. + Given two boxes A and B, the calculation of IOU is as follows: + +$$ +IOU(A, B) = +\frac{area(A\cap B)}{area(A)+area(B)-area(A\cap B)} +$$ + +)DOC"); + } +}; +} // namespace operators +} // namespace paddle + +namespace ops = paddle::operators; +REGISTER_OP_WITHOUT_GRADIENT(iou_similarity, ops::IOUSimilarityOp, + ops::IOUSimilarityOpMaker); + +REGISTER_OP_CPU_KERNEL( + iou_similarity, + ops::IOUSimilarityKernel, + ops::IOUSimilarityKernel); diff --git a/paddle/operators/iou_similarity_op.cu b/paddle/operators/iou_similarity_op.cu new file mode 100755 index 0000000000..fa50526246 --- /dev/null +++ b/paddle/operators/iou_similarity_op.cu @@ -0,0 +1,21 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include "paddle/operators/iou_similarity_op.h" + +namespace ops = paddle::operators; +REGISTER_OP_CUDA_KERNEL( + iou_similarity, + ops::IOUSimilarityKernel, + ops::IOUSimilarityKernel); diff --git a/paddle/operators/iou_similarity_op.h b/paddle/operators/iou_similarity_op.h new file mode 100644 index 0000000000..e36177069d --- /dev/null +++ b/paddle/operators/iou_similarity_op.h @@ -0,0 +1,90 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#pragma once +#include "paddle/framework/op_registry.h" +#include "paddle/platform/for_range.h" + +template +inline HOSTDEVICE T IOUSimilarity(T xmin1, T ymin1, T xmax1, T ymax1, T xmin2, + T ymin2, T xmax2, T ymax2) { + constexpr T zero = static_cast(0); + T area1 = (ymax1 - ymin1) * (xmax1 - xmin1); + T area2 = (ymax2 - ymin2) * (xmax2 - xmin2); + T inter_xmax = xmax1 > xmax2 ? xmax2 : xmax1; + T inter_ymax = ymax1 > ymax2 ? ymax2 : ymax1; + T inter_xmin = xmin1 > xmin2 ? xmin1 : xmin2; + T inter_ymin = ymin1 > ymin2 ? ymin1 : ymin2; + T inter_height = inter_ymax - inter_ymin; + T inter_width = inter_xmax - inter_xmin; + inter_height = inter_height > zero ? inter_height : zero; + inter_width = inter_width > zero ? inter_width : zero; + T inter_area = inter_width * inter_height; + T union_area = area1 + area2 - inter_area; + T sim_score = inter_area / union_area; + return sim_score; +} + +template +struct IOUSimilarityFunctor { + IOUSimilarityFunctor(const T* x, const T* y, T* z, int cols) + : x_(x), y_(y), z_(z), cols_(static_cast(cols)) {} + + inline HOSTDEVICE void operator()(size_t row_id) const { + T x_min1 = x_[row_id * 4]; + T y_min1 = x_[row_id * 4 + 1]; + T x_max1 = x_[row_id * 4 + 2]; + T y_max1 = x_[row_id * 4 + 3]; + for (size_t i = 0; i < cols_; ++i) { + T x_min2 = y_[i * 4]; + T y_min2 = y_[i * 4 + 1]; + T x_max2 = y_[i * 4 + 2]; + T y_max2 = y_[i * 4 + 3]; + + T sim = IOUSimilarity(x_min1, y_min1, x_max1, y_max1, x_min2, y_min2, + x_max2, y_max2); + + z_[row_id * cols_ + i] = sim; + } + } + const T* x_; + const T* y_; + T* z_; + const size_t cols_; +}; + +namespace paddle { +namespace operators { + +template +class IOUSimilarityKernel : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext& ctx) const override { + const framework::LoDTensor* in_x = ctx.Input("X"); + const framework::Tensor* in_y = ctx.Input("Y"); + framework::LoDTensor* out = ctx.Output("Out"); + + int x_n = in_x->dims()[0]; + int y_n = in_y->dims()[0]; + IOUSimilarityFunctor functor(in_x->data(), in_y->data(), + out->mutable_data(ctx.GetPlace()), y_n); + + platform::ForRange for_range( + static_cast(ctx.device_context()), x_n); + for_range(functor); + } +}; // namespace operators + +} // namespace operators +} // namespace paddle diff --git a/paddle/operators/linear_chain_crf_op.cc b/paddle/operators/linear_chain_crf_op.cc index 975e394c78..e24bf622b7 100644 --- a/paddle/operators/linear_chain_crf_op.cc +++ b/paddle/operators/linear_chain_crf_op.cc @@ -187,7 +187,7 @@ class LinearChainCRFOp : public framework::OperatorWithKernel { const framework::ExecutionContext& ctx) const override { return framework::OpKernelType( framework::ToDataType(ctx.Input("Emission")->type()), - ctx.device_context()); + platform::CPUPlace()); } }; @@ -248,7 +248,7 @@ class LinearChainCRFGradOp : public framework::OperatorWithKernel { framework::ToDataType( ctx.Input(framework::GradVarName("LogLikelihood")) ->type()), - ctx.device_context()); + platform::CPUPlace()); } }; diff --git a/paddle/operators/linear_chain_crf_op.h b/paddle/operators/linear_chain_crf_op.h index f502ebefde..afc197a1c3 100644 --- a/paddle/operators/linear_chain_crf_op.h +++ b/paddle/operators/linear_chain_crf_op.h @@ -65,57 +65,14 @@ class LinearChainCRFOpKernel : public framework::OpKernel { const size_t level = 0; const size_t seq_num = in_lod[level].size() - 1; - // These local variables hold the inputs and outputs, garanteeing them on - // CPU memory, to provide a consistent reference. - // TODO(caoying) Fix this by moving all these local variables into the - // class's data members once we can profile the whole training process. - LoDTensor* emission_weights = nullptr; - LoDTensor emission_weight_tensor; - Tensor* transition_weights = nullptr; - Tensor transition_weight_tensor; - LoDTensor* label = nullptr; - LoDTensor label_tensor; - - Tensor* emission_exps = nullptr; - Tensor emission_exps_tensor; - Tensor* transition_exps = nullptr; - Tensor transition_exps_tensor; - Tensor* alpha = nullptr; - Tensor alpha_tensor; - Tensor* ll = nullptr; - Tensor ll_tensor; - - if (platform::is_gpu_place(ctx.GetPlace())) { - emission_weights = &emission_weight_tensor; - transition_weights = &transition_weight_tensor; - label = &label_tensor; - - CopyInputsToCpuMemory( - ctx.device_context(), *ctx.Input("Emission"), - *ctx.Input("Transition"), *ctx.Input("Label"), - emission_weights, transition_weights, label); - - emission_exps = &emission_exps_tensor; - emission_exps->Resize(emission_weights->dims()); - - transition_exps = &transition_exps_tensor; - transition_exps->Resize(transition_weights->dims()); - - alpha = &alpha_tensor; - alpha->Resize(ctx.Output("Alpha")->dims()); - - ll = &ll_tensor; - } else { - emission_weights = - const_cast(ctx.Input("Emission")); - transition_weights = const_cast(ctx.Input("Transition")); - label = const_cast(ctx.Input("Label")); - - emission_exps = ctx.Output("EmissionExps"); - transition_exps = ctx.Output("TransitionExps"); - alpha = ctx.Output("Alpha"); - ll = ctx.Output("LogLikelihood"); - } + const LoDTensor* emission_weights = ctx.Input("Emission"); + const Tensor* transition_weights = ctx.Input("Transition"); + const LoDTensor* label = ctx.Input("Label"); + + Tensor* emission_exps = ctx.Output("EmissionExps"); + Tensor* transition_exps = ctx.Output("TransitionExps"); + Tensor* alpha = ctx.Output("Alpha"); + Tensor* ll = ctx.Output("LogLikelihood"); // Because the computation codes only runs on CPU, here the memory for all // the outputs is FIXED to be allocated on the CPU memory. @@ -173,61 +130,9 @@ class LinearChainCRFOpKernel : public framework::OpKernel { one_seq, one_seq_row_max, one_seq_exps, *transition_weights, *transition_exps, one_seq_label, &one_seq_alpha); } - - if (platform::is_gpu_place(ctx.GetPlace())) { - CopyOutputsToGpuMemory( - ctx.device_context(), *emission_exps, *transition_exps, *alpha, *ll, - ctx.Output("EmissionExps"), - ctx.Output("TransitionExps"), ctx.Output("Alpha"), - ctx.Output("LogLikelihood")); - } }; private: - void CopyInputsToCpuMemory(const platform::DeviceContext& ctx, - const LoDTensor& emission_weights_src, - const Tensor& transition_weights_src, - const LoDTensor& label_src, - LoDTensor* emission_weights_dst, - Tensor* transition_weights_dst, - LoDTensor* label_dst) const { - // Copy the inputs from GPU memory to CPU memory if this operators runs on - // GPU device. - auto copyLoDTensor = [](const platform::DeviceContext& ctx, - const LoDTensor& src, LoDTensor* dst) { - dst->mutable_data(src.dims(), platform::CPUPlace()); - framework::Copy(src, platform::CPUPlace(), ctx, dst); - }; - - copyLoDTensor(ctx, emission_weights_src, emission_weights_dst); - copyLoDTensor(ctx, label_src, label_dst); - - transition_weights_dst->mutable_data(transition_weights_src.dims(), - platform::CPUPlace()); - framework::Copy(transition_weights_src, platform::CPUPlace(), ctx, - transition_weights_dst); - } - - void CopyOutputsToGpuMemory(const platform::DeviceContext& ctx, - const Tensor& emission_exps_src, - const Tensor& transition_exps_src, - const Tensor& alpha_src, const Tensor& ll_src, - Tensor* emission_exps_dst, - Tensor* transition_exps_dst, Tensor* alpha_dst, - Tensor* ll_dst) const { - // Copy the forward results from CPU memory to GPU memory if this - // operators runs on GPU device. - auto copyTensor = [](const platform::DeviceContext& ctx, const Tensor& src, - Tensor* dst) { - dst->mutable_data(platform::CUDAPlace()); - framework::Copy(src, platform::CUDAPlace(), ctx, dst); - }; - copyTensor(ctx, emission_exps_src, emission_exps_dst); - copyTensor(ctx, transition_exps_src, transition_exps_dst); - copyTensor(ctx, alpha_src, alpha_dst); - copyTensor(ctx, ll_src, ll_dst); - } - T ForwardOneSequence(const Tensor& emission, const Tensor& emission_row_max, const Tensor& emission_exps, const Tensor& trans_weights, const Tensor& trans_weight_exps, const Tensor& label, @@ -296,63 +201,17 @@ class LinearChainCRFGradOpKernel : public framework::OpKernel { auto lod = ctx.Input("Label")->lod(); PADDLE_ENFORCE(lod.size(), "Input(Label) must be a sequence."); - // These local variables hold the inputs and outputs, garanteeing them on - // CPU memory, to provide a consistent reference. - // TODO(caoying) Fix this by moving all these local variables into the - // class's data members once we can profile the training process, or - // implementing a real GPU kernel for CRF. - Tensor* label = nullptr; - Tensor label_tensor; - Tensor* emission_exps = nullptr; - Tensor emission_exps_tensor; - Tensor* transition_exps = nullptr; - Tensor transition_exps_tensor; - Tensor* alpha = nullptr; - Tensor alpha_tensor; - Tensor ll_grad_tensor; - T* ll_grad = nullptr; - - Tensor* emission_grad = nullptr; - Tensor emission_grad_tensor; - Tensor* transition_grad = nullptr; - Tensor transition_grad_tensor; - - if (platform::is_gpu_place(ctx.GetPlace())) { - label = &label_tensor; - emission_exps = &emission_exps_tensor; - transition_exps = &transition_exps_tensor; - alpha = &alpha_tensor; - CopyInputsToCpuMemory( - ctx.device_context(), *ctx.Input("Label"), - *ctx.Input("EmissionExps"), - *ctx.Input("TransitionExps"), *ctx.Input("Alpha"), - *ctx.Input(framework::GradVarName("LogLikelihood")), label, - emission_exps, transition_exps, alpha, &ll_grad_tensor); - ll_grad = ll_grad_tensor.data(); - - if (ctx.Output(framework::GradVarName("Emission"))) { - emission_grad = &emission_grad_tensor; - emission_grad->Resize(emission_exps->dims()); - } + const Tensor* label = ctx.Input("Label"); + const Tensor* emission_exps = ctx.Input("EmissionExps"); + const Tensor* transition_exps = ctx.Input("TransitionExps"); + const Tensor* alpha = ctx.Input("Alpha"); + const T* ll_grad = + ctx.Input(framework::GradVarName("LogLikelihood"))->data(); - if (ctx.Output(framework::GradVarName("Transition"))) { - transition_grad = &transition_grad_tensor; - transition_grad->Resize(transition_exps->dims()); - } - } else { - label = const_cast(ctx.Input("Label")); - emission_exps = const_cast(ctx.Input("EmissionExps")); - transition_exps = - const_cast(ctx.Input("TransitionExps")); - alpha = const_cast(ctx.Input("Alpha")); - ll_grad = const_cast( - ctx.Input(framework::GradVarName("LogLikelihood"))) - ->data(); - - emission_grad = ctx.Output(framework::GradVarName("Emission")); - transition_grad = - ctx.Output(framework::GradVarName("Transition")); - } + Tensor* emission_grad = + ctx.Output(framework::GradVarName("Emission")); + Tensor* transition_grad = + ctx.Output(framework::GradVarName("Transition")); // TODO(caoying) Fix this constraint. When the Input(Emission) is from the // data reader operator, it can have no gradients. @@ -389,58 +248,9 @@ class LinearChainCRFGradOpKernel : public framework::OpKernel { one_seq_emission_exps, *transition_exps, one_seq_alpha, one_seq_label, &one_seq_beta, transition_grad, &one_seq_emission_grad); } - - if (platform::is_gpu_place(ctx.GetPlace())) { - CopyOutputsToGpuMemory( - ctx.device_context(), emission_grad, transition_grad, - ctx.Output(framework::GradVarName("Emission")), - ctx.Output(framework::GradVarName("Transition"))); - } }; private: - void CopyInputsToCpuMemory(const platform::DeviceContext& ctx, - const LoDTensor& label_src, - const Tensor& emission_exps_src, - const Tensor& transition_exps_src, - const Tensor& alpha_src, const Tensor& ll_grad_src, - Tensor* label_dst, Tensor* emission_exps_dst, - Tensor* transition_exps_dst, Tensor* alpha_dst, - Tensor* ll_grad_dst) const { - // Copy the inputs from GPU memory to CPU memory when this operators runs on - // GPU device. - label_dst->mutable_data(label_src.dims(), platform::CPUPlace()); - framework::Copy(label_src, platform::CPUPlace(), ctx, label_dst); - - auto copyTensor = [](const platform::DeviceContext& ctx, const Tensor& src, - Tensor* dst) { - dst->mutable_data(src.dims(), platform::CPUPlace()); - framework::Copy(src, platform::CPUPlace(), ctx, dst); - }; - copyTensor(ctx, emission_exps_src, emission_exps_dst); - copyTensor(ctx, transition_exps_src, transition_exps_dst); - copyTensor(ctx, alpha_src, alpha_dst); - copyTensor(ctx, ll_grad_src, ll_grad_dst); - } - - void CopyOutputsToGpuMemory(const platform::DeviceContext& ctx, - const Tensor* emission_grad_src, - const Tensor* transition_grad_src, - Tensor* emission_grad_dst, - Tensor* transition_grad_dst) const { - // Copy the backward results from CPU memory to GPU - // memory if this operators runs on GPU device. - auto copyTensor = [](const platform::DeviceContext& ctx, const Tensor* src, - Tensor* dst) { - if (src && dst) { - dst->mutable_data(platform::CUDAPlace()); - framework::Copy(*src, platform::CUDAPlace(), ctx, dst); - } - }; - copyTensor(ctx, emission_grad_src, emission_grad_dst); - copyTensor(ctx, transition_grad_src, transition_grad_dst); - } - void BackwardOneSequence(const platform::CPUDeviceContext& ctx, const T ll_grad, const Tensor& emission_exps, const Tensor& transition_exps, const Tensor& alpha, diff --git a/paddle/operators/lookup_table_op.cc b/paddle/operators/lookup_table_op.cc index bb03def439..2405852f53 100644 --- a/paddle/operators/lookup_table_op.cc +++ b/paddle/operators/lookup_table_op.cc @@ -66,6 +66,12 @@ class LookupTableOpMaker : public framework::OpProtoAndCheckerMaker { "(boolean, default false) " "Sparse update") .SetDefault(false); + AddAttr("padding_idx", + "(int64, default -1) " + "If the value is -1, it makes no effect to lookup. " + "Otherwise the given value indicates padding the output " + "with zeros whenever lookup encounters it in Ids.") + .SetDefault(-1); AddComment(R"DOC( Lookup Table Operator. diff --git a/paddle/operators/lookup_table_op.cu b/paddle/operators/lookup_table_op.cu index 261a28da69..d97390fa1c 100644 --- a/paddle/operators/lookup_table_op.cu +++ b/paddle/operators/lookup_table_op.cu @@ -21,9 +21,11 @@ limitations under the License. */ namespace paddle { namespace operators { -template +template __global__ void LookupTable(T* output, const T* table, const int64_t* ids, - const int64_t N, const int64_t K, const int64_t D) { + const int64_t N, const int64_t K, const int64_t D, + const int64_t padding_idx) { int idx = threadIdx.x; int idy = blockIdx.x + threadIdx.y * GridDimX; @@ -34,7 +36,14 @@ __global__ void LookupTable(T* output, const T* table, const int64_t* ids, T* out = output + idy * D; const T* tab = table + id * D; for (int i = idx; i < D; i += BlockDimX) { - out[i] = tab[i]; + if (PaddingFlag) { + if (id == padding_idx) + out[i] = static_cast(0); + else + out[i] = tab[i]; + } else { + out[i] = tab[i]; + } } idy += BlockDimY * GridDimX; } @@ -67,6 +76,7 @@ class LookupTableCUDAKernel : public framework::OpKernel { auto* table_t = context.Input("W"); auto* ids_t = context.Input("Ids"); auto* output_t = context.Output("Out"); + int64_t padding_idx = context.Attr("padding_idx"); size_t N = table_t->dims()[0]; size_t D = table_t->dims()[1]; @@ -77,10 +87,17 @@ class LookupTableCUDAKernel : public framework::OpKernel { dim3 threads(128, 8); dim3 grids(8, 1); - LookupTable< - T, 128, 8, - 8><<>>( - output, table, ids, N, K, D); + + if (padding_idx == -1) + LookupTable< + T, 128, 8, 8, + false><<>>( + output, table, ids, N, K, D, padding_idx); + else + LookupTable< + T, 128, 8, 8, + true><<>>( + output, table, ids, N, K, D, padding_idx); } }; @@ -91,6 +108,8 @@ class LookupTableGradCUDAKernel : public framework::OpKernel { auto& dev_ctx = context.template device_context(); bool is_sparse = context.Attr("is_sparse"); + // Since paddings are not trainable and fixed in forward, the gradient of + // paddings makes no sense and we don't deal with it in backward. if (is_sparse) { auto* ids = context.Input("Ids"); auto* table = context.Input("W"); diff --git a/paddle/operators/lookup_table_op.h b/paddle/operators/lookup_table_op.h index 2fd3335868..0842c422f7 100644 --- a/paddle/operators/lookup_table_op.h +++ b/paddle/operators/lookup_table_op.h @@ -32,16 +32,30 @@ class LookupTableKernel : public framework::OpKernel { auto* table_t = context.Input("W"); // float tensor auto* ids_t = context.Input("Ids"); // int tensor auto* output_t = context.Output("Out"); // float tensor + int64_t padding_idx = context.Attr("padding_idx"); int N = table_t->dims()[0]; int D = table_t->dims()[1]; auto* ids = ids_t->data(); auto* table = table_t->data(); auto* output = output_t->mutable_data(context.GetPlace()); - for (int64_t i = 0; i < ids_t->numel(); ++i) { - PADDLE_ENFORCE_LT(ids[i], N); - PADDLE_ENFORCE_GE(ids[i], 0); - memcpy(output + i * D, table + ids[i] * D, D * sizeof(T)); + + if (padding_idx == -1) { + for (int64_t i = 0; i < ids_t->numel(); ++i) { + PADDLE_ENFORCE_LT(ids[i], N); + PADDLE_ENFORCE_GE(ids[i], 0); + memcpy(output + i * D, table + ids[i] * D, D * sizeof(T)); + } + } else { + for (int64_t i = 0; i < ids_t->numel(); ++i) { + if (ids[i] == padding_idx) { + memset(output + i * D, 0, D * sizeof(T)); + } else { + PADDLE_ENFORCE_LT(ids[i], N); + PADDLE_ENFORCE_GE(ids[i], 0); + memcpy(output + i * D, table + ids[i] * D, D * sizeof(T)); + } + } } } }; @@ -51,6 +65,8 @@ class LookupTableGradKernel : public framework::OpKernel { public: void Compute(const framework::ExecutionContext& context) const override { bool is_sparse = context.Attr("is_sparse"); + // Since paddings are not trainable and fixed in forward, the gradient of + // paddings makes no sense and we don't deal with it in backward. if (is_sparse) { auto* ids = context.Input("Ids"); auto* table = context.Input("W"); diff --git a/paddle/operators/lstm_op.cc b/paddle/operators/lstm_op.cc index 3b90b64b4e..afb095a04e 100644 --- a/paddle/operators/lstm_op.cc +++ b/paddle/operators/lstm_op.cc @@ -117,7 +117,7 @@ class LSTMOpMaker : public framework::OpProtoAndCheckerMaker { AddInput("C0", "(Tensor, optional) the initial cell state is an optional " "input. This is a tensor with shape (N x D), where N is the " - "batch size. `H0` and `C0` can be NULL but only at the same time") + "batch size. `H0` and `C0` can be NULL but only at the same time.") .AsDispensable(); AddInput("Weight", "(Tensor) the learnable hidden-hidden weights." diff --git a/paddle/operators/math/matmul.h b/paddle/operators/math/matmul.h index 7048e11e6f..ae7f1fe9be 100644 --- a/paddle/operators/math/matmul.h +++ b/paddle/operators/math/matmul.h @@ -41,10 +41,24 @@ class MatMulFunctor { "Input tensor a must be at least 1-dimensional."); PADDLE_ENFORCE_GE(dim_b.size(), 1, "Input tensor b must be at least 1-dimensional."); - PADDLE_ENFORCE_LE(dim_a.size(), 3, - "Input tensor a must be at most 3-dimensional."); - PADDLE_ENFORCE_LE(dim_b.size(), 3, - "Input tensor b must be at most 3-dimensional."); + + std::vector out_dim; + int64_t batch_count = 1; + if (dim_a.size() > 3) { + PADDLE_ENFORCE(dim_b.size() == dim_a.size(), + "The dimensions of X and Y must be the same, and both of " + "them should be %d-dimensional.", + dim_b.size()); + // The first rank-2 dimensions are accumulated on the batch_count, and the + // last two dimensions are used for matrix multiplication. + for (int j = 0; j < dim_a.size() - 2; ++j) { + PADDLE_ENFORCE_EQ(dim_b[j], dim_a[j], + "The %d-th dimension of X and Y must be the same.", + j); + out_dim.push_back(dim_a[j]); + batch_count *= dim_a[j]; + } + } int M = 0, N = 0, kA = 0, kB = 0, batchCountA = 0, batchCountB = 0, strideA = 0, strideB = 0; @@ -67,7 +81,11 @@ class MatMulFunctor { strideA = M * kA; break; default: - assert(false); + batchCountA = batch_count; + size_t mat_s = dim_a.size() - 2; + M = trans_a ? dim_a[mat_s + 1] : dim_a[mat_s]; + kA = trans_a ? dim_a[mat_s] : dim_a[mat_s + 1]; + strideA = M * kA; } switch (dim_b.size()) { @@ -88,7 +106,11 @@ class MatMulFunctor { strideB = kB * N; break; default: - assert(false); + batchCountB = batch_count; + size_t mat_s = dim_b.size() - 2; + kB = trans_b ? dim_b[mat_s + 1] : dim_b[mat_s]; + N = trans_b ? dim_b[mat_s] : dim_b[mat_s + 1]; + strideB = kB * N; } PADDLE_ENFORCE_EQ( diff --git a/paddle/operators/math/sampler.cc b/paddle/operators/math/sampler.cc new file mode 100644 index 0000000000..4f1cbfe31a --- /dev/null +++ b/paddle/operators/math/sampler.cc @@ -0,0 +1,70 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include "sampler.h" + +namespace paddle { +namespace random { + +Sampler::~Sampler() {} + +UniformSampler::UniformSampler(int64 range) + : Sampler(range), inv_range_(1.0 / range) { + random_engine_ = std::make_shared(seed_); + dist_ = std::make_shared>(0, range); +} + +UniformSampler::UniformSampler(int64 range, unsigned int seed) + : Sampler(range, seed), inv_range_(1.0 / range) { + random_engine_ = std::make_shared(seed_); + dist_ = std::make_shared>(0, range); +} + +int64 UniformSampler::Sample() const { return (*dist_)(*random_engine_); } + +float UniformSampler::Probability(int64 value) const { return inv_range_; } + +LogUniformSampler::LogUniformSampler(int64 range) + : Sampler(range), log_range_(log(range + 1)) { + random_engine_ = std::make_shared(seed_); + dist_ = std::make_shared>(0, 1); +} + +LogUniformSampler::LogUniformSampler(int64 range, unsigned int seed) + : Sampler(range, seed), log_range_(log(range + 1)) { + random_engine_ = std::make_shared(seed_); + dist_ = std::make_shared>(0, 1); +} +int64 LogUniformSampler::Sample() const { + // Got Log Uniform distribution from uniform distribution by + // inverse_transform_sampling method + // More details: + // https://wanghaoshuang.github.io/2017/11/Log-uniform-distribution-sampler/ + const int64 value = + static_cast(exp((*dist_)(*random_engine_) * log_range_)) - 1; + // Mathematically, value should be <= range_, but might not be due to some + // floating point roundoff, so we mod by range_. + return value % range_; +} + +float LogUniformSampler::Probability(int64 value) const { + // Given f(x) = 1/[(x+1) * log_range_] + // The value's probability is integral of f(x) from value to (value + 1) + // More details: + // https://wanghaoshuang.github.io/2017/11/Log-uniform-distribution-sampler + return (log((value + 2.0) / (value + 1.0))) / log_range_; +} + +} // namespace random +} // namespace paddle diff --git a/paddle/operators/math/sampler.h b/paddle/operators/math/sampler.h new file mode 100644 index 0000000000..8f82089e7b --- /dev/null +++ b/paddle/operators/math/sampler.h @@ -0,0 +1,100 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#pragma once +#include +#include +typedef long int64; +namespace paddle { +namespace operators { +namespace math { + +// TODO(wanghaoshuang): Support for GPU + +/** +* Sample integers from [0, range). +*/ +class Sampler { + public: + explicit Sampler(int64 range) : range_(range) { + PADDLE_ENFORCE_GT(range, 0); + std::random_device r; + seed_ = r(); + } + explicit Sampler(int64 range, unsigned int seed) + : range_(range), seed_(seed) { + PADDLE_ENFORCE_GT(range, 0); + } + virtual ~Sampler(); + // Sample a single value + virtual int64 Sample() const = 0; + // The probability that a single call to Sample() returns the given value. + virtual float Probability(int64 value) const = 0; + + int64 range() { return range_; }; + + protected: + const int64 range_; + unsigned int seed_; +}; + +/** + * Sample integers from [0, range). + * And the distribution function is: + * P(x) = 1 / range + */ +class UniformSampler : public Sampler { + public: + explicit UniformSampler(int64 range); + + explicit UniformSampler(int64 range, unsigned int seed); + + ~UniformSampler() override {} + + int64 Sample() const override; + + float Probability(int64 value) const override; + + private: + const float inv_range_; + std::shared_ptr random_engine_; + std::shared_ptr> dist_; +}; + +/** + * Sample integers from [0, range). + * And the distribution function is: + * P(x) = (1/ln(range+1)) * ln(1 + 1/(x + 1)) + */ +class LogUniformSampler : public Sampler { + public: + explicit LogUniformSampler(int64 range); + + explicit LogUniformSampler(int64 range, unsigned int seed); + + ~LogUniformSampler() override {} + + int64 Sample() const override; + + float Probability(int64 value) const override; + + private: + const float log_range_; + std::shared_ptr random_engine_; + std::shared_ptr> dist_; +}; + +} // math +} // namespace operators +} // namespace paddle diff --git a/paddle/operators/math/sequence_padding.cc b/paddle/operators/math/sequence_padding.cc index fd66455eae..2e69aa47eb 100644 --- a/paddle/operators/math/sequence_padding.cc +++ b/paddle/operators/math/sequence_padding.cc @@ -32,7 +32,8 @@ class PaddingLoDTensorFunctor { framework::LoD abs_offset_lod = framework::ToAbsOffset(lod); auto seq_dims = seq.dims(); - PADDLE_ENFORCE_EQ(seq_dims[0], abs_offset_lod[level].back(), + PADDLE_ENFORCE_EQ(seq_dims[0], + static_cast(abs_offset_lod[level].back()), "The first dimension of LoDTensor seq should be " "equal to the sum of all sequences's length."); @@ -41,32 +42,32 @@ class PaddingLoDTensorFunctor { "The input padding should be a 3-D Tensor of shape " "[max_sequence_length, num_sequences, sequence_width]."); - const size_t max_sequence_length = MaximumSequenceLength(lod, level); + const int64_t max_sequence_length = MaximumSequenceLength(lod, level); PADDLE_ENFORCE_EQ(padding_dims[0], max_sequence_length, "The first dimension of Tensor padding should be the " "maximum length of all sequences in LoDTensor seq."); - const size_t num_sequences = abs_offset_lod[level].size() - 1; + const int64_t num_sequences = abs_offset_lod[level].size() - 1; PADDLE_ENFORCE_EQ(padding_dims[1], num_sequences, "The second dimension of Tensor padding should be the " "number of sequences in LoDTensor seq."); - const size_t sequence_width = seq.numel() / seq_dims[0]; + const int64_t sequence_width = seq.numel() / seq_dims[0]; PADDLE_ENFORCE_EQ(padding_dims[2], sequence_width, "The third dimension of Tensor padding should be the " "width of sequence in LoDTensor seq."); const T* seq_data = seq.data(); T* padding_data = padding.data(); - for (size_t i = 0; i < max_sequence_length; ++i) { - for (size_t j = 0; j < num_sequences; ++j) { - size_t start_pos = abs_offset_lod[level][j]; - size_t sequence_length = abs_offset_lod[level][j + 1] - start_pos; + for (int64_t i = 0; i < max_sequence_length; ++i) { + for (int64_t j = 0; j < num_sequences; ++j) { + int64_t start_pos = abs_offset_lod[level][j]; + int64_t sequence_length = abs_offset_lod[level][j + 1] - start_pos; if (i < sequence_length) { // i > 0 => sequence_length > 0 T scale = norm_by_times ? (1.0f / static_cast(sequence_length)) : 1.0f; - for (size_t k = 0; k < sequence_width; ++k) { + for (int64_t k = 0; k < sequence_width; ++k) { padding_data[(i * num_sequences + j) * sequence_width + k] = seq_data[(start_pos + i) * sequence_width + k] * scale; } @@ -93,7 +94,8 @@ class UnpaddingLoDTensorFunctor { framework::LoD abs_offset_lod = framework::ToAbsOffset(lod); auto seq_dims = seq.dims(); - PADDLE_ENFORCE_EQ(seq_dims[0], abs_offset_lod[level].back(), + PADDLE_ENFORCE_EQ(seq_dims[0], + static_cast(abs_offset_lod[level].back()), "The first dimension of LoDTensor seq should be " "equal to the sum of all sequences's length."); @@ -102,31 +104,31 @@ class UnpaddingLoDTensorFunctor { "The input padding should be a 3-D Tensor of shape " "[max_sequnece_length, num_sequences, sequence_width]."); - const size_t max_sequence_length = MaximumSequenceLength(lod, level); + const int64_t max_sequence_length = MaximumSequenceLength(lod, level); PADDLE_ENFORCE_EQ(padding_dims[0], max_sequence_length, "The first dimension of Tensor padding should be " "the maximum length of all sequences in LoDTensor seq."); - const size_t num_sequences = abs_offset_lod[level].size() - 1; + const int64_t num_sequences = abs_offset_lod[level].size() - 1; PADDLE_ENFORCE_EQ(padding_dims[1], num_sequences, "The second dimension of Tensor padding should be " "the number of sequences in LoDTensor seq."); - const size_t sequence_width = seq.numel() / seq_dims[0]; + const int64_t sequence_width = seq.numel() / seq_dims[0]; PADDLE_ENFORCE_EQ(padding_dims[2], sequence_width, "The third dimension of Tensor padding should be the " "width of sequence in LoDTensor seq."); const T* padding_data = padding.data(); T* seq_data = seq.data(); - for (size_t i = 0; i < num_sequences; ++i) { - size_t start_pos = abs_offset_lod[level][i]; - size_t sequence_length = abs_offset_lod[level][i + 1] - start_pos; - for (size_t j = 0; j < sequence_length; ++j) { + for (int64_t i = 0; i < num_sequences; ++i) { + int64_t start_pos = abs_offset_lod[level][i]; + int64_t sequence_length = abs_offset_lod[level][i + 1] - start_pos; + for (int64_t j = 0; j < sequence_length; ++j) { // sequence_width > j > 0 T scale = norm_by_times ? (1.0f / static_cast(sequence_length)) : 1.0f; - for (size_t k = 0; k < sequence_width; ++k) { + for (int64_t k = 0; k < sequence_width; ++k) { seq_data[(start_pos + j) * sequence_width + k] = padding_data[(j * num_sequences + i) * sequence_width + k] * scale; diff --git a/paddle/operators/math/sequence_padding.cu b/paddle/operators/math/sequence_padding.cu index e4be178f81..a38df26f59 100644 --- a/paddle/operators/math/sequence_padding.cu +++ b/paddle/operators/math/sequence_padding.cu @@ -71,7 +71,8 @@ class PaddingLoDTensorFunctor { framework::LoD abs_offset_lod = framework::ToAbsOffset(lod); auto seq_dims = seq.dims(); - PADDLE_ENFORCE_EQ(seq_dims[0], abs_offset_lod[level].back(), + PADDLE_ENFORCE_EQ(seq_dims[0], + static_cast(abs_offset_lod[level].back()), "The first dimension of LoDTensor seq should be " "equal to the sum of all sequences's length."); @@ -80,17 +81,17 @@ class PaddingLoDTensorFunctor { "The input padding should be a 3-D Tensor of shape " "[max_sequence_length, num_sequences, sequence_width]."); - size_t max_sequence_length = MaximumSequenceLength(lod, level); + int64_t max_sequence_length = MaximumSequenceLength(lod, level); PADDLE_ENFORCE_EQ(padding_dims[0], max_sequence_length, "The first dimension of Tensor padding should be the " "maximum length of all sequences in LoDTensor seq."); - const size_t num_sequences = abs_offset_lod[level].size() - 1; + const int64_t num_sequences = abs_offset_lod[level].size() - 1; PADDLE_ENFORCE_EQ(padding_dims[1], num_sequences, "The second dimension of Tensor padding should be the " "number of sequences in LoDTensor seq."); - const size_t sequence_width = seq.numel() / seq_dims[0]; + const int64_t sequence_width = seq.numel() / seq_dims[0]; PADDLE_ENFORCE_EQ(padding_dims[2], sequence_width, "The third dimension of Tensor padding should be the " "width of sequence in LoDTensor seq."); @@ -101,7 +102,7 @@ class PaddingLoDTensorFunctor { return; } - const size_t kBlockSize = 512; + const int64_t kBlockSize = 512; /* At least use 32 threads to copy sequence_width elements, * and at least 8 elements for each thread. @@ -143,7 +144,8 @@ class UnpaddingLoDTensorFunctor { framework::LoD abs_offset_lod = framework::ToAbsOffset(lod); auto seq_dims = seq.dims(); - PADDLE_ENFORCE_EQ(seq_dims[0], abs_offset_lod[level].back(), + PADDLE_ENFORCE_EQ(seq_dims[0], + static_cast(abs_offset_lod[level].back()), "The first dimension of LoDTensor seq should be " "equal to the sum of all sequences's length."); @@ -152,17 +154,17 @@ class UnpaddingLoDTensorFunctor { "The input padding should be a 3-D Tensor of shape " "[max_sequnece_length, num_sequences, sequence_width]."); - size_t max_sequence_length = MaximumSequenceLength(lod, level); + int64_t max_sequence_length = MaximumSequenceLength(lod, level); PADDLE_ENFORCE_EQ(padding_dims[0], max_sequence_length, "The first dimension of Tensor padding should be " "the maximum length of all sequences in LoDTensor seq."); - const size_t num_sequences = abs_offset_lod[level].size() - 1; + const int64_t num_sequences = abs_offset_lod[level].size() - 1; PADDLE_ENFORCE_EQ(padding_dims[1], num_sequences, "The second dimension of Tensor padding should be " "the number of sequences in LoDTensor seq."); - const size_t sequence_width = seq.numel() / seq_dims[0]; + const int64_t sequence_width = seq.numel() / seq_dims[0]; PADDLE_ENFORCE_EQ(padding_dims[2], sequence_width, "The third dimension of Tensor padding should be the " "width of sequence in LoDTensor seq."); @@ -173,7 +175,7 @@ class UnpaddingLoDTensorFunctor { return; } - const size_t kBlockSize = 512; + const int64_t kBlockSize = 512; /* At least use 32 threads to copy sequence_width elements, * and at least 8 elements for each thread. diff --git a/paddle/operators/math/sequence_padding_test.cc b/paddle/operators/math/sequence_padding_test.cc index 9799bcd65d..3e504f4a15 100644 --- a/paddle/operators/math/sequence_padding_test.cc +++ b/paddle/operators/math/sequence_padding_test.cc @@ -31,7 +31,7 @@ void TestSequencePadding(const paddle::framework::LoD& lod, cpu_seq.set_lod(lod); cpu_seq.mutable_data(seq_dims, paddle::platform::CPUPlace()); - for (size_t i = 0; i < cpu_seq.numel(); ++i) { + for (int64_t i = 0; i < cpu_seq.numel(); ++i) { cpu_seq.data()[i] = static_cast(i); } @@ -69,7 +69,7 @@ void TestSequencePadding(const paddle::framework::LoD& lod, EXPECT_EQ(cpu_seq.numel(), cpu_seq_back.numel()); EXPECT_EQ(cpu_seq.dims(), cpu_seq_back.dims()); - for (size_t i = 0; i < cpu_seq.numel(); ++i) { + for (int64_t i = 0; i < cpu_seq.numel(); ++i) { EXPECT_EQ(cpu_seq.data()[i], cpu_seq_back.data()[i]); } diff --git a/paddle/operators/matmul_op.cc b/paddle/operators/matmul_op.cc index fd65d894d5..3336978c8d 100644 --- a/paddle/operators/matmul_op.cc +++ b/paddle/operators/matmul_op.cc @@ -41,10 +41,26 @@ class MatMulOp : public framework::OperatorWithKernel { "Input tensor X must be at least 1-dimensional."); PADDLE_ENFORCE_GE(dim_y.size(), 1, "Input tensor Y must be at least 1-dimensional."); - PADDLE_ENFORCE_LE(dim_x.size(), 3, - "Input tensor X must be at most 3-dimensional."); - PADDLE_ENFORCE_LE(dim_y.size(), 3, - "Input tensor Y must be at most 3-dimensional."); + + std::vector out_dim; + int64_t batch_count = 1; + if (dim_x.size() > 3) { + PADDLE_ENFORCE_EQ( + dim_y.size(), dim_x.size(), + "The dimensions of X and Y must be the same, and both of " + "them should be %d-dimensional.", + dim_x.size()); + + // The first rank-2 dimensions are accumulated on the batch_count, and the + // last two dimensions are used for matrix multiplication. + for (int j = 0; j < dim_x.size() - 2; ++j) { + PADDLE_ENFORCE_EQ(dim_y[j], dim_x[j], + "The %d-th dimension of X and Y must be the same.", + j); + out_dim.push_back(dim_x[j]); + batch_count *= dim_x[j]; + } + } int M = 0, N = 0, KX = 0, KY = 0, batchCountX = 0, batchCountY = 0; bool remove_initial_dim = false, remove_final_dim = false; @@ -70,7 +86,11 @@ class MatMulOp : public framework::OperatorWithKernel { KX = transpose_x ? dim_x[1] : dim_x[2]; break; default: - assert(false); + batchCountX = batch_count; + size_t mat_s = dim_x.size() - 2; + M = transpose_x ? dim_x[mat_s + 1] : dim_x[mat_s]; + KX = transpose_x ? dim_x[mat_s] : dim_x[mat_s + 1]; + break; } switch (dim_y.size()) { @@ -94,7 +114,10 @@ class MatMulOp : public framework::OperatorWithKernel { N = transpose_y ? dim_y[1] : dim_y[2]; break; default: - assert(false); + batchCountY = batch_count; + size_t mat_s = dim_y.size() - 2; + KY = transpose_y ? dim_y[mat_s + 1] : dim_y[mat_s]; + N = transpose_y ? dim_y[mat_s] : dim_y[mat_s + 1]; } PADDLE_ENFORCE_EQ( @@ -110,7 +133,11 @@ class MatMulOp : public framework::OperatorWithKernel { std::vector dim_out; if (batchCount) { - dim_out.push_back(batchCount); + if (dim_x.size() > 3) { + dim_out.insert(dim_out.begin(), out_dim.begin(), out_dim.end()); + } else { + dim_out.push_back(batchCount); + } } if (!remove_initial_dim) { dim_out.push_back(M); @@ -162,10 +189,14 @@ Examples without transpose: - X: [B, M, K], Y: [K] => Out: [B, M] - X: [M, K], Y: [B, K, N] => Out: [B, M, N] - X: [B, M, K], Y: [B, K, N] => Out: [B, M, N] +- X: [B, ..., M, K], Y: [B, ..., K, N] => Out: [B, ..., M, N] The behavior is designed to be similar to the `numpy.matmul` function. The differences are: -- Currently only rank 1 to rank 3 input tensors are supported. +- When the rank of the input data is less than or equal to 3, it + is similar to the `numpy.matmul` function. +- When the rank of the input is greater than 3, the rank of X and + Y must be equal, and the first `rank - 2` dimensions must be equal. - We add `transpose_X` and `transpose_Y` flags. Both the input `X` and `Y` can carry the LoD (Level of Details) information, diff --git a/paddle/operators/matmul_op.h b/paddle/operators/matmul_op.h index 78adc64f76..fe6a97465f 100644 --- a/paddle/operators/matmul_op.h +++ b/paddle/operators/matmul_op.h @@ -137,6 +137,13 @@ class MatMulGradKernel : public framework::OpKernel { y_dims.push_back(1); } + int batch_count = 0; + // The first rank-2 dimensions are accumulated on the batch_count, and the + // last two dimensions are used for matrix multiplication. + if (x_dims.size() > 3) { + batch_count = accumulate(x_dims.begin(), x_dims.end() - 2, 1, + std::multiplies()); + } // Fix the dOut dimensions. int M = 0, N = 0, batchCountX = 0, batchCountY = 0; @@ -149,7 +156,9 @@ class MatMulGradKernel : public framework::OpKernel { M = transpose_x ? x_dims[2] : x_dims[1]; break; default: - assert(false); + batchCountX = batch_count; + size_t mat_s = x_dims.size() - 2; + M = transpose_x ? x_dims[mat_s + 1] : x_dims[mat_s]; } switch (y_dims.size()) { @@ -161,7 +170,9 @@ class MatMulGradKernel : public framework::OpKernel { N = transpose_y ? y_dims[1] : y_dims[2]; break; default: - assert(false); + batchCountY = batch_count; + size_t mat_s = y_dims.size() - 2; + N = transpose_y ? y_dims[mat_s] : y_dims[mat_s + 1]; } if (batchCountX && batchCountY) { PADDLE_ENFORCE_EQ( @@ -172,7 +183,11 @@ class MatMulGradKernel : public framework::OpKernel { int batchCount = std::max(batchCountX, batchCountY); std::vector dout_dims = {M, N}; if (batchCount) { - dout_dims.insert(dout_dims.begin(), batchCount); + if (x_dims.size() > 3) { + dout_dims.insert(dout_dims.begin(), x_dims.begin(), x_dims.end() - 2); + } else { + dout_dims.insert(dout_dims.begin(), batchCount); + } } Tensor X = Reshape(x, make_ddim(x_dims)); Tensor Y = Reshape(y, make_ddim(y_dims)); diff --git a/paddle/operators/nce_op.cc b/paddle/operators/nce_op.cc index 84ba3ead2b..994ddf717e 100644 --- a/paddle/operators/nce_op.cc +++ b/paddle/operators/nce_op.cc @@ -124,7 +124,8 @@ class NCEOpMaker : public framework::OpProtoAndCheckerMaker { "This attribute only be used in unitest. Classes " "in this list wiil be used as negative classes " "for every samples. Under normal conditions, " - "user should avoid setting this attribute."); + "user should avoid setting this attribute.") + .SetDefault({}); AddComment(R"DOC( Compute and return the noise-contrastive estimation training loss. See [Noise-contrastive estimation: A new estimation principle for unnormalized statistical models](http://www.jmlr.org/proceedings/papers/v9/gutmann10a/gutmann10a.pdf). diff --git a/paddle/operators/nce_op.h b/paddle/operators/nce_op.h index e6b496f789..86fa13a649 100644 --- a/paddle/operators/nce_op.h +++ b/paddle/operators/nce_op.h @@ -197,7 +197,8 @@ class NCEGradKernel : public framework::OpKernel { // get d_x auto d_x = context.Output(framework::GradVarName("Input")); if (d_x != nullptr) { - d_x->mutable_data(context.GetPlace()); + auto* d_x_data = d_x->mutable_data(context.GetPlace()); + std::fill(d_x_data, d_x_data + d_x->numel(), 0.0); auto d_x_matrix = EigenMatrix::From(*d_x); auto w_matrix = EigenMatrix::From(*(context.Input("Weight"))); for (int64_t i = 0; i < sample_labels->numel(); ++i) { diff --git a/paddle/operators/net_op.cc b/paddle/operators/net_op.cc index f12074a5f2..000e029840 100644 --- a/paddle/operators/net_op.cc +++ b/paddle/operators/net_op.cc @@ -11,21 +11,6 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -/* - Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. -*/ #include "paddle/operators/net_op.h" #include diff --git a/paddle/operators/parallel_do_op.cc b/paddle/operators/parallel_do_op.cc index c2561fa2bf..09e808902f 100644 --- a/paddle/operators/parallel_do_op.cc +++ b/paddle/operators/parallel_do_op.cc @@ -31,6 +31,7 @@ static constexpr char kParallelScopes[] = "parallel_scopes"; static constexpr char kParallelBlock[] = "sub_block"; using LoDTensor = framework::LoDTensor; +using SelectedRows = framework::SelectedRows; static void SplitTensorAndMoveTensorToScopes( const framework::Scope &scope, std::vector *sub_scopes, @@ -64,6 +65,36 @@ static void SplitTensorAndMoveTensorToScopes( } } +inline void CopyOrShare(const framework::Variable &src, + const platform::Place &dst_place, + framework::Variable *dst) { + if (src.IsType()) { + if (src.Get().place() == dst_place) { + dst->GetMutable()->ShareDataWith(src.Get()); + } else { + Copy(src.Get(), dst_place, dst->GetMutable()); + } + } else if (src.IsType()) { + auto &src_sr = src.Get(); + auto *dst_sr = dst->GetMutable(); + dst_sr->set_rows(src_sr.rows()); + dst_sr->set_height(src_sr.height()); + if (src_sr.value().place() == dst_place) { + dst_sr->mutable_value()->ShareDataWith(src_sr.value()); + } else { + Copy(src_sr.value(), dst_place, dst_sr->mutable_value()); + } + } else { + PADDLE_THROW("Expect LoDTensor/SelectedRows, get %s", src.Type().name()); + } +} + +void WaitOnPlace(const platform::Place place) { + platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance(); + auto &dev_ctx = *pool.Get(place); + dev_ctx.Wait(); +} + void WaitOnPlaces(const std::vector places) { platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance(); @@ -204,30 +235,32 @@ class ParallelDoGradOp : public framework::OperatorBase { } WaitOnPlaces(places); - // merge grad + AccumulateGrad(scope, place, sub_scopes, places); + } + + void AccumulateGrad(const framework::Scope &scope, + const platform::Place &place, + const std::vector &sub_scopes, + const platform::PlaceList &places) const { for (auto &s : Outputs(framework::GradVarName(kParameters))) { - auto &result = sub_scopes[0]->FindVar(s)->Get(); std::string tmp_name; - auto *tmp = sub_scopes[0]->Var(&tmp_name)->GetMutable(); + auto *tmp = sub_scopes[0]->Var(&tmp_name); for (size_t i = 1; i < sub_scopes.size(); ++i) { - auto &tensor_to_merge = sub_scopes[i]->FindVar(s)->Get(); - if (!(places[i] == places[0])) { - framework::Copy(tensor_to_merge, places[0], tmp); - } else { - tmp->ShareDataWith(tensor_to_merge); - } + CopyOrShare(*sub_scopes[i]->FindVar(s), places[0], tmp); + WaitOnPlace(places[0]); auto sum_op = framework::OpRegistry::CreateOp( "sum", {{"X", {s, tmp_name}}}, {{"Out", {s}}}, framework::AttributeMap{}); + VLOG(3) << sum_op->DebugStringEx(sub_scopes[0]); sum_op->Run(*sub_scopes[0], places[0]); - WaitOnPlaces(places); + WaitOnPlace(places[0]); } - VLOG(3) << result; - framework::Copy(result, place, scope.FindVar(s)->GetMutable()); + CopyOrShare(*sub_scopes[0]->FindVar(s), place, scope.FindVar(s)); } + WaitOnPlaces(places); } }; @@ -281,7 +314,7 @@ class ParallelDoGradOpShapeInference : public framework::InferShapeBase { PADDLE_ENFORCE(ctx->HasInputs(kParameters)); PADDLE_ENFORCE(ctx->HasOutputs(framework::GradVarName(kParameters))); - PADDLE_ENFORCE(ctx->HasInput(kInputs)); + PADDLE_ENFORCE(ctx->HasInputs(kInputs)); for (auto &s : output) { PADDLE_ENFORCE(ctx->HasInputs(s)); diff --git a/paddle/operators/pool_op.cc b/paddle/operators/pool_op.cc index 3e567efd08..b97333bb1a 100644 --- a/paddle/operators/pool_op.cc +++ b/paddle/operators/pool_op.cc @@ -64,6 +64,13 @@ void PoolOp::InferShape(framework::InferShapeContext *ctx) const { framework::OpKernelType PoolOp::GetExpectedKernelType( const framework::ExecutionContext &ctx) const { bool use_cudnn = ctx.Attr("use_cudnn"); + use_cudnn &= platform::is_gpu_place(ctx.GetPlace()); +#ifdef PADDLE_WITH_CUDA + if (platform::is_gpu_place(ctx.GetPlace())) { + auto &dev_ctx = ctx.template device_context(); + use_cudnn &= dev_ctx.cudnn_handle() != nullptr; + } +#endif framework::LibraryType library_; if (use_cudnn) { library_ = framework::LibraryType::kCUDNN; @@ -88,6 +95,13 @@ void PoolOpGrad::InferShape(framework::InferShapeContext *ctx) const { framework::OpKernelType PoolOpGrad::GetExpectedKernelType( const framework::ExecutionContext &ctx) const { bool use_cudnn = ctx.Attr("use_cudnn"); + use_cudnn &= platform::is_gpu_place(ctx.GetPlace()); +#ifdef PADDLE_WITH_CUDA + if (platform::is_gpu_place(ctx.GetPlace())) { + auto &dev_ctx = ctx.template device_context(); + use_cudnn &= dev_ctx.cudnn_handle() != nullptr; + } +#endif framework::LibraryType library_; if (use_cudnn) { library_ = framework::LibraryType::kCUDNN; diff --git a/paddle/operators/prior_box_op.cc b/paddle/operators/prior_box_op.cc new file mode 100644 index 0000000000..105ff4ac3e --- /dev/null +++ b/paddle/operators/prior_box_op.cc @@ -0,0 +1,154 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include "paddle/operators/prior_box_op.h" + +namespace paddle { +namespace operators { + +class PriorBoxOp : public framework::OperatorWithKernel { + public: + using framework::OperatorWithKernel::OperatorWithKernel; + + void InferShape(framework::InferShapeContext* ctx) const override { + PADDLE_ENFORCE(ctx->HasInput("Input"), + "Input(Input) of PriorBoxOp should not be null."); + PADDLE_ENFORCE(ctx->HasInput("Image"), + "Input(Image) of PriorBoxOp should not be null."); + + auto image_dims = ctx->GetInputDim("Image"); + auto input_dims = ctx->GetInputDim("Input"); + PADDLE_ENFORCE(image_dims.size() == 4, "The layout of image is NCHW."); + PADDLE_ENFORCE(input_dims.size() == 4, "The layout of input is NCHW."); + + PADDLE_ENFORCE_LT(input_dims[2], image_dims[2], + "The height of input must smaller than image."); + + PADDLE_ENFORCE_LT(input_dims[3], image_dims[3], + "The width of input must smaller than image."); + + auto min_sizes = ctx->Attrs().Get>("min_sizes"); + auto max_sizes = ctx->Attrs().Get>("max_sizes"); + auto variances = ctx->Attrs().Get>("variances"); + auto aspect_ratios = ctx->Attrs().Get>("aspect_ratios"); + bool flip = ctx->Attrs().Get("flip"); + + PADDLE_ENFORCE_GT(min_sizes.size(), 0, + "Size of min_sizes must be at least 1."); + for (size_t i = 0; i < min_sizes.size(); ++i) { + PADDLE_ENFORCE_GT(min_sizes[i], 0, "min_sizes[%d] must be positive.", i); + } + + std::vector aspect_ratios_vec; + ExpandAspectRatios(aspect_ratios, flip, aspect_ratios_vec); + + int num_priors = aspect_ratios_vec.size() * min_sizes.size(); + if (max_sizes.size() > 0) { + PADDLE_ENFORCE_EQ(max_sizes.size(), min_sizes.size(), + "The number of min_size and max_size must be equal."); + for (size_t i = 0; i < min_sizes.size(); ++i) { + PADDLE_ENFORCE_GT(max_sizes[i], min_sizes[i], + "max_size[%d] must be greater than min_size[%d].", i, + i); + num_priors += 1; + } + } + + PADDLE_ENFORCE_EQ(variances.size(), 4, "Must and only provide 4 variance."); + for (size_t i = 0; i < variances.size(); ++i) { + PADDLE_ENFORCE_GT(variances[i], 0.0, + "variance[%d] must be greater than 0.", i); + } + + const float step_h = ctx->Attrs().Get("step_h"); + PADDLE_ENFORCE_GT(step_h, 0.0, "step_h should be larger than 0."); + const float step_w = ctx->Attrs().Get("step_w"); + PADDLE_ENFORCE_GT(step_w, 0.0, "step_w should be larger than 0."); + + std::vector dim_vec(4); + dim_vec[0] = input_dims[2]; + dim_vec[1] = input_dims[3]; + dim_vec[2] = num_priors; + dim_vec[3] = 4; + ctx->SetOutputDim("Boxes", framework::make_ddim(dim_vec)); + ctx->SetOutputDim("Variances", framework::make_ddim(dim_vec)); + } +}; + +class PriorBoxOpMaker : public framework::OpProtoAndCheckerMaker { + public: + PriorBoxOpMaker(OpProto* proto, OpAttrChecker* op_checker) + : OpProtoAndCheckerMaker(proto, op_checker) { + AddInput("Input", + "(Tensor, default Tensor), " + "the input feature data of PriorBoxOp, The layout is NCHW."); + AddInput("Image", + "(Tensor, default Tensor), " + "the input image data of PriorBoxOp, The layout is NCHW."); + AddOutput("Boxes", + "(Tensor, default Tensor), the output prior boxes of " + "PriorBoxOp. The layout is [H, W, num_priors, 4]. " + "H is the height of input, W is the width of input, num_priors " + "is the box count of each position."); + AddOutput("Variances", + "(Tensor, default Tensor), the expanded variances of " + "PriorBoxOp. The layout is [H, W, num_priors, 4]. " + "H is the height of input, W is the width of input, num_priors " + "is the box count of each position."); + AddAttr>("min_sizes", "(vector) ", + "List of min sizes of generated prior boxes."); + AddAttr>("max_sizes", "(vector) ", + "List of max sizes of generated prior boxes."); + AddAttr>( + "aspect_ratios", "(vector) ", + "List of aspect ratios of generated prior boxes."); + AddAttr>( + "variances", "(vector) ", + "List of variances to be encoded in prior boxes."); + AddAttr("flip", "(bool) ", "Whether to flip aspect ratios.") + .SetDefault(true); + AddAttr("clip", "(bool) ", "Whether to clip out-of-boundary boxes.") + .SetDefault(true); + AddAttr("step_w", + "Prior boxes step across width, 0 for auto calculation.") + .SetDefault(0.0); + AddAttr("step_h", + "Prior boxes step across height, 0 for auto calculation.") + .SetDefault(0.0); + AddAttr("offset", + "(float) " + "Prior boxes center offset.") + .SetDefault(0.5); + AddComment(R"DOC( +Prior box operator +Generate prior boxes for SSD(Single Shot MultiBox Detector) algorithm. +Each position of the input produce N prior boxes, N is determined by + the count of min_sizes, max_sizes and aspect_ratios, The size of the + box is in range(min_size, max_size) interval, which is generated in + sequence according to the aspect_ratios. + +Please get more information from the following papers: +https://arxiv.org/abs/1512.02325. +)DOC"); + } +}; + +} // namespace operators +} // namespace paddle + +namespace ops = paddle::operators; +REGISTER_OP_WITHOUT_GRADIENT(prior_box, ops::PriorBoxOp, ops::PriorBoxOpMaker); +REGISTER_OP_CPU_KERNEL( + prior_box, ops::PriorBoxOpKernel, + ops::PriorBoxOpKernel); diff --git a/paddle/operators/prior_box_op.h b/paddle/operators/prior_box_op.h new file mode 100644 index 0000000000..e0a663ace8 --- /dev/null +++ b/paddle/operators/prior_box_op.h @@ -0,0 +1,188 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#pragma once +#include "paddle/framework/op_registry.h" +#include "paddle/operators/math/math_function.h" +#include "paddle/platform/transform.h" + +namespace paddle { +namespace operators { + +inline void ExpandAspectRatios(const std::vector& input_aspect_ratior, + bool flip, + std::vector& output_aspect_ratior) { + constexpr float epsilon = 1e-6; + output_aspect_ratior.clear(); + output_aspect_ratior.push_back(1.); + for (size_t i = 0; i < input_aspect_ratior.size(); ++i) { + float ar = input_aspect_ratior[i]; + bool already_exist = false; + for (size_t j = 0; j < output_aspect_ratior.size(); ++j) { + if (fabs(ar - output_aspect_ratior[j]) < epsilon) { + already_exist = true; + break; + } + } + if (!already_exist) { + output_aspect_ratior.push_back(ar); + if (flip) { + output_aspect_ratior.push_back(1. / ar); + } + } + } +} + +template +struct ClipFunctor { + HOSTDEVICE T operator()(T in) const { + return std::min(std::max(in, 0.), 1.); + } +}; + +template +class PriorBoxOpKernel : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext& ctx) const override { + auto* input = ctx.Input("Input"); + auto* image = ctx.Input("Image"); + auto* boxes = ctx.Output("Boxes"); + auto* vars = ctx.Output("Variances"); + + auto min_sizes = ctx.Attr>("min_sizes"); + auto max_sizes = ctx.Attr>("max_sizes"); + auto input_aspect_ratio = ctx.Attr>("aspect_ratios"); + auto variances = ctx.Attr>("variances"); + auto flip = ctx.Attr("flip"); + auto clip = ctx.Attr("clip"); + + std::vector aspect_ratios; + ExpandAspectRatios(input_aspect_ratio, flip, aspect_ratios); + + T step_w = static_cast(ctx.Attr("step_w")); + T step_h = static_cast(ctx.Attr("step_h")); + T offset = static_cast(ctx.Attr("offset")); + + auto img_width = image->dims()[3]; + auto img_height = image->dims()[2]; + + auto feature_width = input->dims()[3]; + auto feature_height = input->dims()[2]; + + T step_width, step_height; + if (step_w == 0 || step_h == 0) { + step_width = static_cast(img_width) / feature_width; + step_height = static_cast(img_height) / feature_height; + } else { + step_width = step_w; + step_height = step_h; + } + + int num_priors = aspect_ratios.size() * min_sizes.size(); + if (max_sizes.size() > 0) { + num_priors += max_sizes.size(); + } + + boxes->mutable_data(ctx.GetPlace()); + vars->mutable_data(ctx.GetPlace()); + + auto e_boxes = framework::EigenTensor::From(*boxes); + for (int h = 0; h < feature_height; ++h) { + for (int w = 0; w < feature_width; ++w) { + T center_x = (w + offset) * step_width; + T center_y = (h + offset) * step_height; + T box_width, box_height; + int idx = 0; + for (size_t s = 0; s < min_sizes.size(); ++s) { + int min_size = min_sizes[s]; + // first prior: aspect_ratio = 1, size = min_size + box_width = box_height = min_size; + // xmin + e_boxes(h, w, idx, 0) = (center_x - box_width / 2.) / img_width; + // ymin + e_boxes(h, w, idx, 1) = (center_y - box_height / 2.) / img_height; + // xmax + e_boxes(h, w, idx, 2) = (center_x + box_width / 2.) / img_width; + // ymax + e_boxes(h, w, idx, 3) = (center_y + box_height / 2.) / img_height; + + idx++; + if (max_sizes.size() > 0) { + int max_size = max_sizes[s]; + // second prior: aspect_ratio = 1, + // size = sqrt(min_size * max_size) + box_width = box_height = sqrt(min_size * max_size); + // xmin + e_boxes(h, w, idx, 0) = (center_x - box_width / 2.) / img_width; + // ymin + e_boxes(h, w, idx, 1) = (center_y - box_height / 2.) / img_height; + // xmax + e_boxes(h, w, idx, 2) = (center_x + box_width / 2.) / img_width; + // ymax + e_boxes(h, w, idx, 3) = (center_y + box_height / 2.) / img_height; + idx++; + } + + // rest of priors + for (size_t r = 0; r < aspect_ratios.size(); ++r) { + float ar = aspect_ratios[r]; + if (fabs(ar - 1.) < 1e-6) { + continue; + } + box_width = min_size * sqrt(ar); + box_height = min_size / sqrt(ar); + // xmin + e_boxes(h, w, idx, 0) = (center_x - box_width / 2.) / img_width; + // ymin + e_boxes(h, w, idx, 1) = (center_y - box_height / 2.) / img_height; + // xmax + e_boxes(h, w, idx, 2) = (center_x + box_width / 2.) / img_width; + // ymax + e_boxes(h, w, idx, 3) = (center_y + box_height / 2.) / img_height; + idx++; + } + } + } + } + + if (clip) { + platform::Transform trans; + ClipFunctor clip_func; + trans(ctx.template device_context(), + boxes->data(), boxes->data() + boxes->numel(), + boxes->data(), clip_func); + } + + framework::Tensor var_t; + var_t.mutable_data( + framework::make_ddim({1, static_cast(variances.size())}), + ctx.GetPlace()); + auto var_et = framework::EigenTensor::From(var_t); + for (size_t i = 0; i < variances.size(); ++i) { + var_et(0, i) = variances[i]; + } + + int box_num = feature_height * feature_width * num_priors; + auto var_dim = vars->dims(); + vars->Resize({box_num, static_cast(variances.size())}); + + auto e_vars = framework::EigenMatrix::From(*vars); + e_vars = var_et.broadcast(Eigen::DSizes(box_num, 1)); + + vars->Resize(var_dim); + } +}; // namespace operators + +} // namespace operators +} // namespace paddle diff --git a/paddle/operators/recv_op.cc b/paddle/operators/recv_op.cc index f9ed751682..593c35879a 100644 --- a/paddle/operators/recv_op.cc +++ b/paddle/operators/recv_op.cc @@ -27,12 +27,15 @@ limitations under the License. */ #include "paddle/operators/detail/grpc_server.h" #include "paddle/operators/detail/sendrecvop_utils.h" #include "paddle/operators/detail/simple_block_queue.h" +#include "paddle/string/printf.h" #define LISTEN_TERMINATE_MESSAGE "TERMINATE@RECV" namespace paddle { namespace operators { +constexpr char kOptimizeBlock[] = "OptimizeBlock"; + void RunServer(std::shared_ptr service) { service->RunSyncUpdate(); VLOG(4) << "RunServer thread end"; @@ -46,7 +49,7 @@ static void CreateTensorFromMessageType(framework::Variable *var, var->GetMutable(); } else { PADDLE_THROW( - "VraibleMessage type %d is not in " + "VariableMessage type %d is not in " "[LoDTensor, SelectedRows]", var_type); } @@ -77,42 +80,39 @@ class RecvOp : public framework::OperatorBase { if (grads_counter_.find(varname) == grads_counter_.end()) { grads_counter_[varname] = 0; } - char ret[256]; - snprintf(ret, sizeof(ret), "%s.trainer_%d", varname.c_str(), - grads_counter_[varname]++); - return std::string(ret); + return string::Sprintf("%s.trainer_%d", varname, grads_counter_[varname]++); } void Run(const framework::Scope &scope, const platform::Place &dev_place) const override { - // FIXME(typhoonzero): no new scopes for every run. - framework::Scope &recv_scope = scope.NewScope(); platform::DeviceContextPool &pool = platform::DeviceContextPool::Instance(); auto &dev_ctx = *pool.Get(dev_place); + framework::Scope &recv_scope = scope.NewScope(); // FIXME(Yancey1989): initialize rpc server with laze mode. rpc_service_->SetScope(&recv_scope); rpc_service_->SetDevCtx(&dev_ctx); auto param_list = Attr>("ParamList"); auto grad_list = Attr>("GradList"); - auto trainer_count = Attr("Trainers"); + auto fan_in = Attr("Fanin"); size_t param_count = param_list.size(); - rpc_service_->Reset(); + auto *block = Attr(kOptimizeBlock); + auto *program = block->Program(); + framework::Executor executor(dev_place); + // TODO(typhoonzero): change this to a while_op for every cluster-batch. bool exit_flag = false; - VLOG(4) << "param_count:" << param_count - << " trainer_count:" << trainer_count; + size_t barrier_size = param_count * fan_in; while (!exit_flag) { - // TODO(gognwb): simply this loop. - // Get from multiple trainers, we don't care about order in which - // the gradient arrives, just add suffix 0~n then average the gradient. - for (size_t i = 0; i < param_count * trainer_count; ++i) { - // blocking get one var from client. + // Get from multiple trainers, we don't care about the order in which + // the gradients arrives, just add suffix 0~n and merge the gradient. + rpc_service_->SetCond(0); + for (size_t i = 0; i < barrier_size; ++i) { const detail::MessageWithName &v = rpc_service_->Get(); auto grad_var_name = v.first; if (grad_var_name == LISTEN_TERMINATE_MESSAGE) { - VLOG(4) << "received LISTEN_TERMINATE_MESSAGE and RunOp.Run() exit"; + LOG(INFO) << "received terminate message and exit"; exit_flag = true; break; } @@ -121,49 +121,32 @@ class RecvOp : public framework::OperatorBase { if (it != grad_list.end()) { param_var_name = param_list[it - grad_list.begin()]; } else { - LOG(ERROR) << "grad have no paired param found!\"" << grad_var_name - << "\""; + LOG(ERROR) << "grad has no paired param:" << grad_var_name; } - VLOG(3) << "recved grad: " << grad_var_name + VLOG(3) << "received grad: " << grad_var_name << " updating param: " << param_var_name; - - auto *merged_grad = recv_scope.FindVar(grad_var_name); - if (merged_grad == nullptr) { - auto *ptr = recv_scope.Var(grad_var_name); - CreateTensorFromMessageType(ptr, v.second.type()); - VLOG(3) << "Create Variable " << grad_var_name - << " on recv scope, which pointer is " << ptr << " type is " - << v.second.type(); - } - - if (trainer_count > 1) { + if (fan_in > 1) { grad_var_name = this->GetGradVarNameForTrainer(grad_var_name); } - - auto *var = recv_scope.Var(grad_var_name); + auto *var = recv_scope.FindVar(grad_var_name); + if (var == nullptr) { + LOG(ERROR) << "Can not find server side var: " << grad_var_name; + PADDLE_THROW("Can not find server side var"); + } detail::DeserializeFromMessage(v.second, dev_ctx, var); } - if (exit_flag) { break; } - rpc_service_->Reset(); - - std::string program_str = Attr("OptimizeProgram"); - framework::proto::ProgramDesc program_desc; - program_desc.ParseFromString(program_str); - framework::ProgramDesc program(program_desc); - framework::Executor executor(dev_place); - // Run sub graph to get optimized tensor try { - executor.Run(program, &recv_scope, 0, /*global_block*/ + executor.Run(*program, &recv_scope, block->ID(), /*global_block*/ false /*create_local_scope*/, false /*create_vars*/); } catch (std::exception &e) { LOG(ERROR) << "run sub program error " << e.what(); } - - rpc_service_->Done(); + rpc_service_->SetCond(1); + rpc_service_->WaitClientGet(barrier_size); grads_counter_.clear(); } // while(true) } @@ -182,24 +165,24 @@ class RecvOpMaker : public framework::OpProtoAndCheckerMaker { AddComment(R"DOC( Recv operator -This operator will recv tensor from send_op +This operator will recieve tensor from send_op )DOC"); AddAttr("endpoint", "(string, default 127.0.0.1:6164)" "IP address to listen on.") .SetDefault("127.0.0.1:6164") .AddCustomChecker([](const std::string &ip) { return !ip.empty(); }); - AddAttr("OptimizeProgram", "type string", - "Serialized ProgramDesc string for recv to run."); + AddAttr( + kOptimizeBlock, "Serialized ProgramDesc string for recv to run."); AddAttr>( "ParamList", "type list of string", - "grad->param name mapping to find which param to optimize.") + "grad->param name mapping to find which parameters to optimize.") .SetDefault({}); AddAttr>( "GradList", "type list of string", - "grad->param name mapping to find which param to optimize.") + "grad->param name mapping to find which parameters to optimize.") .SetDefault({}); - AddAttr("Trainers", "type int", + AddAttr("Fanin", "type int", "Number of trainers in the current cluster job") .SetDefault(1); } diff --git a/paddle/operators/reduce_op.cc b/paddle/operators/reduce_op.cc index 09b7091358..4a06babeda 100644 --- a/paddle/operators/reduce_op.cc +++ b/paddle/operators/reduce_op.cc @@ -190,10 +190,22 @@ REGISTER_OP(reduce_min, ops::ReduceOp, ops::ReduceMinOpMaker, reduce_min_grad, #define REGISTER_REDUCE_CPU_KERNEL(reduce_type, functor, grad_functor) \ REGISTER_OP_CPU_KERNEL(reduce_type, \ ops::ReduceKernel); \ + float, ops::functor>, \ + ops::ReduceKernel, \ + ops::ReduceKernel, \ + ops::ReduceKernel); \ REGISTER_OP_CPU_KERNEL( \ reduce_type##_grad, \ ops::ReduceGradKernel, \ + ops::ReduceGradKernel, \ + ops::ReduceGradKernel, \ + ops::ReduceGradKernel); FOR_EACH_KERNEL_FUNCTOR(REGISTER_REDUCE_CPU_KERNEL); diff --git a/paddle/operators/reduce_op.cu b/paddle/operators/reduce_op.cu index 1dd948ed8a..4ed1e051db 100644 --- a/paddle/operators/reduce_op.cu +++ b/paddle/operators/reduce_op.cu @@ -20,10 +20,22 @@ namespace ops = paddle::operators; #define REGISTER_REDUCE_GPU_KERNEL(reduce_type, functor, grad_functor) \ REGISTER_OP_CUDA_KERNEL( \ reduce_type, ops::ReduceKernel); \ + float, ops::functor>, \ + ops::ReduceKernel, \ + ops::ReduceKernel, \ + ops::ReduceKernel); \ REGISTER_OP_CUDA_KERNEL( \ reduce_type##_grad, \ ops::ReduceGradKernel, \ + ops::ReduceGradKernel, \ + ops::ReduceGradKernel, \ + ops::ReduceGradKernel); FOR_EACH_KERNEL_FUNCTOR(REGISTER_REDUCE_GPU_KERNEL); diff --git a/paddle/operators/scale_op.cc b/paddle/operators/scale_op.cc index f634ebe9a2..c0e614743a 100644 --- a/paddle/operators/scale_op.cc +++ b/paddle/operators/scale_op.cc @@ -48,7 +48,7 @@ Scale operator $$Out = scale*X$$ )DOC"); AddAttr("scale", - "(float, default 0)" + "(float, default 1.0)" "The scaling factor of the scale operator.") .SetDefault(1.0); } diff --git a/paddle/operators/send_op.cc b/paddle/operators/send_op.cc index 7c81a9524d..5aa66c20ea 100644 --- a/paddle/operators/send_op.cc +++ b/paddle/operators/send_op.cc @@ -41,10 +41,13 @@ class SendOp : public framework::OperatorBase { platform::DeviceContextPool& pool = platform::DeviceContextPool::Instance(); auto& ctx = *pool.Get(place); for (size_t i = 0; i < ins.size(); i++) { + VLOG(3) << "sending " << ins[i]; client_.AsyncSendVariable(epmap[i], ctx, scope, ins[i]); } + PADDLE_ENFORCE(client_.Wait()); for (size_t i = 0; i < outs.size(); i++) { + VLOG(3) << "getting " << outs[i]; client_.AsyncGetVariable(epmap[i], ctx, scope, outs[i]); } @@ -59,13 +62,13 @@ class SendOpMaker : public framework::OpProtoAndCheckerMaker { public: SendOpMaker(OpProto* proto, OpAttrChecker* op_checker) : OpProtoAndCheckerMaker(proto, op_checker) { - AddInput("X", "(Tensor) Input tensor to be send").AsDuplicable(); - AddOutput("Out", "(Tensor) Output tensor to get from server") + AddInput("X", "(Tensor) Input tensor to be sent").AsDuplicable(); + AddOutput("Out", "(Tensor) Output tensor to be received from server") .AsDuplicable(); AddComment(R"DOC( -Recv operator +Send operator -This operator will send tensor to recv_op. +This operator will send tensor to recv_op at the parameter server. )DOC"); AddAttr>("endpoints", "(string vector, default 127.0.0.1:6164)" diff --git a/paddle/operators/send_recv_op_test.cc b/paddle/operators/send_recv_op_test.cc index ea09169479..045a0f5434 100644 --- a/paddle/operators/send_recv_op_test.cc +++ b/paddle/operators/send_recv_op_test.cc @@ -130,10 +130,7 @@ void StartServerNet(bool is_sparse) { attrs.insert({"endpoint", std::string("127.0.0.1:6174")}); attrs.insert({"ParamList", std::vector({"Out"})}); attrs.insert({"GradList", std::vector({"x1"})}); - std::string program_proto; - PADDLE_ENFORCE(program.Proto()->SerializeToString(&program_proto)); - - attrs.insert({"OptimizeProgram", program_proto}); + attrs.insert({"OptimizeBlock", block}); recv_op = f::OpRegistry::CreateOp("recv", {{"RX", {"x1"}}}, {}, attrs); recv_op->Run(scope, place); } diff --git a/paddle/operators/sequence_erase_op.cc b/paddle/operators/sequence_erase_op.cc index d17b268623..aa0c00aa6f 100644 --- a/paddle/operators/sequence_erase_op.cc +++ b/paddle/operators/sequence_erase_op.cc @@ -86,4 +86,5 @@ REGISTER_OP_WITHOUT_GRADIENT(sequence_erase, ops::SequenceEraseOp, ops::SequenceEraseOpMaker); REGISTER_OP_CPU_KERNEL( sequence_erase, - ops::SequenceEraseKernel); + ops::SequenceEraseKernel, + ops::SequenceEraseKernel); diff --git a/paddle/operators/sequence_erase_op.cu b/paddle/operators/sequence_erase_op.cu index 5da8eba3e1..f1e3b96acd 100644 --- a/paddle/operators/sequence_erase_op.cu +++ b/paddle/operators/sequence_erase_op.cu @@ -23,27 +23,22 @@ using platform::PADDLE_CUDA_NUM_THREADS; using LoDTensor = framework::LoDTensor; template -__global__ void LabelErasedIdx(const T* in_dat, const int in_len, - const T* tokens, const int tokens_len, - int* num_erased) { +__global__ void LabelErasedIdx(const T* in_dat, const int64_t in_len, + const int* tokens, const size_t tokens_len, + size_t* num_erased) { int index = blockIdx.x * blockDim.x + threadIdx.x; if (index < in_len) { - int erased = 0; - for (int i = 0; i < tokens_len; ++i) { + for (size_t i = 0; i < tokens_len; ++i) { if (in_dat[index] == tokens[i]) { - erased = 1; + num_erased[index + 1] = 1; + break; } } - num_erased[index + 1] = erased; - if (index == 0) { - num_erased[0] = 0; - } } } -template -__global__ void GetOutLod(const T* num_erased, const int* in_lod, - const int lod_len, int* out_lod0) { +__global__ void GetOutLod(const size_t* num_erased, const size_t* in_lod, + const size_t lod_len, size_t* out_lod0) { int index = blockIdx.x * blockDim.x + threadIdx.x; if (index < lod_len) { out_lod0[index] = in_lod[index] - num_erased[in_lod[index]]; @@ -51,11 +46,11 @@ __global__ void GetOutLod(const T* num_erased, const int* in_lod, } template -__global__ void SetOutput(const T* in_dat, const int in_len, - const int* num_erased, T* out_dat) { +__global__ void SetOutput(const T* in_dat, const int64_t in_len, + const size_t* num_erased, T* out_dat) { int index = blockIdx.x * blockDim.x + threadIdx.x; if (index < in_len) { - if (in_dat[index] != in_dat[index + 1]) { + if (num_erased[index] == num_erased[index + 1]) { out_dat[index - num_erased[index]] = in_dat[index]; } } @@ -72,53 +67,44 @@ class SequenceEraseOpCUDAKernel : public framework::OpKernel { PADDLE_ENFORCE_EQ(lod.size(), 1UL, "Only support one level sequence now."); PADDLE_ENFORCE_EQ(lod[0].back(), (size_t)in->numel(), "The actual size mismatches with the LoD information."); - auto tokens = ctx.Attr>("tokens"); - auto tokens_len = tokens.size(); + auto tokens = ctx.Attr>("tokens"); auto in_len = in->numel(); auto in_dat = in->data(); - auto lod0 = lod[0]; - - thrust::host_vector host_tokens(tokens_len); - for (size_t i = 0; i < tokens.size(); ++i) { - host_tokens[i] = tokens[i]; - } - thrust::device_vector dev_tokens = host_tokens; - thrust::device_vector num_erased(in_len + 1); - - T* dev_tokens_ptr = thrust::raw_pointer_cast(dev_tokens.data()); - int* num_erased_ptr = thrust::raw_pointer_cast(num_erased.data()); + // Copy tokens to GPU + thrust::device_vector dev_tokens(tokens.begin(), tokens.end()); + int* dev_tokens_ptr = thrust::raw_pointer_cast(dev_tokens.data()); + // Count number of elements to be erased + thrust::device_vector num_erased(in_len + 1, 0); + size_t* num_erased_ptr = thrust::raw_pointer_cast(num_erased.data()); auto stream = ctx.cuda_device_context().stream(); LabelErasedIdx<<<(in_len - 1) / PADDLE_CUDA_NUM_THREADS + 1, PADDLE_CUDA_NUM_THREADS, 0, stream>>>( - in_dat, in_len, dev_tokens_ptr, tokens_len, num_erased_ptr); + in_dat, in_len, dev_tokens_ptr, tokens.size(), num_erased_ptr); thrust::inclusive_scan(num_erased.begin() + 1, num_erased.end(), num_erased.begin() + 1); - // Calc LoD + // Copy LoD to GPU + auto lod0 = lod[0]; auto lod_len = lod0.size(); - thrust::host_vector host_lod(lod_len); - for (size_t i = 0; i < lod_len; ++i) { - host_lod[i] = lod0[i]; - } - thrust::device_vector dev_in_lod = host_lod; - thrust::device_vector dev_out_lod(lod_len); - int* dev_in_lod_ptr = thrust::raw_pointer_cast(dev_in_lod.data()); - int* dev_out_lod_ptr = thrust::raw_pointer_cast(dev_out_lod.data()); + thrust::device_vector dev_in_lod = lod0; + size_t* dev_in_lod_ptr = thrust::raw_pointer_cast(dev_in_lod.data()); + + // Calc output LoD + thrust::device_vector dev_out_lod(lod_len); + size_t* dev_out_lod_ptr = thrust::raw_pointer_cast(dev_out_lod.data()); GetOutLod<<<(lod_len - 1) / PADDLE_CUDA_NUM_THREADS + 1, PADDLE_CUDA_NUM_THREADS, 0, stream>>>( num_erased_ptr, dev_in_lod_ptr, lod_len, dev_out_lod_ptr); - thrust::host_vector host_out_lod = dev_out_lod; - std::vector out_lod0(lod_len, 0); - for (size_t i = 0; i < lod_len; i++) { - out_lod0[i] = host_out_lod[i]; - } + + // Set LoD for output + thrust::host_vector out_lod0 = dev_out_lod; framework::LoD out_lod; out_lod.push_back(out_lod0); out->set_lod(out_lod); // Set output - out->Resize({out_lod0.back(), 1}); + out->Resize({static_cast(out_lod0.back()), 1}); auto out_dat = out->mutable_data(ctx.GetPlace()); SetOutput<<<(in_len - 1) / PADDLE_CUDA_NUM_THREADS + 1, PADDLE_CUDA_NUM_THREADS, 0, stream>>>(in_dat, in_len, @@ -130,4 +116,5 @@ class SequenceEraseOpCUDAKernel : public framework::OpKernel { } // namespace paddle REGISTER_OP_CUDA_KERNEL(sequence_erase, - paddle::operators::SequenceEraseOpCUDAKernel); + paddle::operators::SequenceEraseOpCUDAKernel, + paddle::operators::SequenceEraseOpCUDAKernel); diff --git a/paddle/operators/sequence_expand_op.cc b/paddle/operators/sequence_expand_op.cc index b40ec617e4..d34dbd35b6 100644 --- a/paddle/operators/sequence_expand_op.cc +++ b/paddle/operators/sequence_expand_op.cc @@ -58,7 +58,7 @@ This operator expands input(X) according to LOD of input(Y). Following are cases to better explain how this works: Case 1: -Given 2-level a LoDTensor input(X) +Given a 2-level LoDTensor input(X) X.lod = [[0, 2, 3], [0, 1, 3, 4]] X.data = [a, b, c, d] @@ -75,9 +75,8 @@ then we get 2-level LoDTensor Case 2: -Given a 0-level LoDTensor input(X) +Given a common Tensor input(X) X.data = [a, b, c] - X.lod = NULL X.dims = [3, 1] and input(Y) Y.lod = [[0, 2, 3, 6]] @@ -89,9 +88,8 @@ then we get 1-level LoDTensor Case 3: -Given a 0-level LoDTensor input(X) +Given a common Tensor input(X) X.data = [[a, b], [c, d], [e, f]] - X.lod = NULL X.dims = [3, 2] and input(Y) Y.lod = [[0, 2, 3, 6]] diff --git a/paddle/operators/sequence_expand_op.h b/paddle/operators/sequence_expand_op.h index 2ba628e9c3..6021526eee 100644 --- a/paddle/operators/sequence_expand_op.h +++ b/paddle/operators/sequence_expand_op.h @@ -32,6 +32,7 @@ class SequenceExpandKernel : public framework::OpKernel { const T* x_data = x->data(); auto x_dims = x->dims(); auto* y = context.Input("Y"); + PADDLE_ENFORCE(!y->lod().empty(), "y should have lod"); PADDLE_ENFORCE_EQ(static_cast(x_dims[0]), y->lod().back().size() - 1, "The size of last lod level in Input(Y)" diff --git a/paddle/operators/sequence_reshape_op.cc b/paddle/operators/sequence_reshape_op.cc new file mode 100644 index 0000000000..57cca13105 --- /dev/null +++ b/paddle/operators/sequence_reshape_op.cc @@ -0,0 +1,130 @@ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#include "paddle/operators/sequence_reshape_op.h" +#include "paddle/framework/ddim.h" + +namespace paddle { +namespace operators { + +class SequenceReshapeOp : public framework::OperatorWithKernel { + public: + using framework::OperatorWithKernel::OperatorWithKernel; + void InferShape(framework::InferShapeContext* ctx) const override { + PADDLE_ENFORCE(ctx->HasInput("X"), + "Input(X) of SequenceReshapeOp should not be null."); + PADDLE_ENFORCE(ctx->HasOutput("Out"), + "Output(Out) of SequenceReshapeOp should not be null."); + auto x_dims = ctx->GetInputDim("X"); + auto x_numel = product(x_dims); + PADDLE_ENFORCE_EQ(x_dims.size(), 2U, "Rank of Input(X) should be 2."); + int new_dim = ctx->Attrs().Get("new_dim"); + ctx->SetOutputDim("Out", + {x_numel / new_dim, static_cast(new_dim)}); + } +}; + +class SequenceReshapeOpMaker : public framework::OpProtoAndCheckerMaker { + public: + SequenceReshapeOpMaker(OpProto* proto, OpAttrChecker* op_checker) + : OpProtoAndCheckerMaker(proto, op_checker) { + AddInput("X", + "(LoDTensor, default LoDTensor) A 2-D LoDTensor with shape " + "being [N, M]."); + AddOutput("Out", + "(LoDTensor, default LoDTensor) A 2-D LoDTensor with " + "shape [T, new_dim] where T is calculated based on X.lod, M and " + "new_dim."); + AddAttr("new_dim", "Sequence dimension of the output LoDTensor."); + AddComment(R"DOC( +Sequence Reshape Operator. + +This operator will rearrange the input sequences. The new dimension is set by +attribute and length of each sequence may change longer or shorter which is +decided by original length, original dimension and new dimension. The following +example will help to illustrate the function of this operator: + +x is a LoDTensor: + x.lod = [[0, 2, 6]] + x.data = [[1, 2], [3, 4], + [5, 6], [7, 8], [9, 10], [11, 12]] + x.dims = [6, 2] + +set new_dim = 4 + +then out is a LoDTensor: + out.lod = [[0, 1, 3]] + out.data = [[1, 2, 3, 4], + [5, 6, 7, 8], [9, 10, 11, 12]] + out.dims = [3, 4] + +Currently, only 1-level LoDTensor is supported and please make sure (original +length * original dimension) can be divided by new_dim with no remainder for +each sequence. + +)DOC"); + } +}; + +class SequenceReshapeGradOp : public framework::OperatorWithKernel { + public: + using framework::OperatorWithKernel::OperatorWithKernel; + + void InferShape(framework::InferShapeContext* ctx) const override { + PADDLE_ENFORCE( + ctx->HasInput(framework::GradVarName("Out")), + "Input(Out@GRAD) of SequenceReshapeGradOp should not be null."); + PADDLE_ENFORCE(ctx->HasInput("X"), + "Input(X) of SequenceReshapeGradOp should not be null."); + + ctx->SetOutputDim(framework::GradVarName("X"), ctx->GetInputDim("X")); + ctx->ShareLoD("X", /*->*/ framework::GradVarName("X")); + } +}; + +class SequenceReshapeGradOpMaker : public framework::SingleGradOpDescMaker { + public: + using framework::SingleGradOpDescMaker::SingleGradOpDescMaker; + + protected: + std::unique_ptr Apply() const override { + auto* op_desc_ptr = new framework::OpDesc(); + op_desc_ptr->SetType("sequence_reshape_grad"); + op_desc_ptr->SetInput("X", Input("X")); + op_desc_ptr->SetInput(framework::GradVarName("Out"), OutputGrad("Out")); + op_desc_ptr->SetOutput(framework::GradVarName("X"), InputGrad("X")); + op_desc_ptr->SetAttrMap(Attrs()); + return std::unique_ptr(op_desc_ptr); + } +}; + +} // namespace operators +} // namespace paddle + +namespace ops = paddle::operators; +REGISTER_OPERATOR(sequence_reshape, ops::SequenceReshapeOp, + ops::SequenceReshapeOpMaker, ops::SequenceReshapeGradOpMaker); +REGISTER_OPERATOR(sequence_reshape_grad, ops::SequenceReshapeGradOp); +REGISTER_OP_CPU_KERNEL( + sequence_reshape, + ops::SequenceReshapeKernel, + ops::SequenceReshapeKernel, + ops::SequenceReshapeKernel, + ops::SequenceReshapeKernel); +REGISTER_OP_CPU_KERNEL( + sequence_reshape_grad, + ops::SequenceReshapeGradKernel, + ops::SequenceReshapeGradKernel, + ops::SequenceReshapeGradKernel, + ops::SequenceReshapeGradKernel); diff --git a/paddle/operators/sequence_reshape_op.cu b/paddle/operators/sequence_reshape_op.cu new file mode 100644 index 0000000000..d9c2f7e9a4 --- /dev/null +++ b/paddle/operators/sequence_reshape_op.cu @@ -0,0 +1,30 @@ +/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include "paddle/operators/sequence_reshape_op.h" + +namespace ops = paddle::operators; +REGISTER_OP_CUDA_KERNEL( + sequence_reshape, + ops::SequenceReshapeKernel, + ops::SequenceReshapeKernel, + ops::SequenceReshapeKernel, + ops::SequenceReshapeKernel); +REGISTER_OP_CUDA_KERNEL( + sequence_reshape_grad, + ops::SequenceReshapeGradKernel, + ops::SequenceReshapeGradKernel, + ops::SequenceReshapeGradKernel, + ops::SequenceReshapeGradKernel); diff --git a/paddle/operators/sequence_reshape_op.h b/paddle/operators/sequence_reshape_op.h new file mode 100644 index 0000000000..aaae7ab292 --- /dev/null +++ b/paddle/operators/sequence_reshape_op.h @@ -0,0 +1,86 @@ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + +#pragma once +#include "paddle/framework/op_registry.h" +#include "paddle/operators/math/math_function.h" + +namespace paddle { +namespace operators { + +using LoDTensor = framework::LoDTensor; +template +class SequenceReshapeKernel : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext& context) const override { + auto* in = context.Input("X"); + auto* out = context.Output("Out"); + int out_width = context.Attr("new_dim"); + + auto in_dims = in->dims(); + int64_t in_width = in_dims[1]; + auto& in_lod = in->lod(); + + PADDLE_ENFORCE_EQ(in_lod.size(), 1UL, + "Only support one level sequence now."); + PADDLE_ENFORCE_EQ( + (uint64_t)in_dims[0], in_lod[0].back(), + "Inconsistent size between X.shape[0] and X.lod()[0].back()."); + + auto in_lod_l0 = in_lod[0]; + int seq_num = in_lod_l0.size() - 1; + + if (in_width == out_width) { + out->set_lod(in->lod()); + } else { + auto& out_lod = *out->mutable_lod(); + out_lod.resize(1); + out_lod[0].resize(seq_num + 1); + out_lod[0][0] = 0; + for (int i = 0; i < seq_num; ++i) { + size_t seq_len = in_lod_l0[i + 1] - in_lod_l0[i]; + size_t offset = 0; + offset = (seq_len * in_width) / out_width; + PADDLE_ENFORCE_EQ(offset * out_width, seq_len * in_width, + "Please make sure (sequence_length * dimension) can " + "be divided by new_dim with no remainder for each " + "sequence. The %dth sequence is invalid.", + i + 1); + out_lod[0][i + 1] = out_lod[0][i] + offset; + } + } + + framework::Copy(*in, context.GetPlace(), out); + out->Resize({static_cast(out->lod()[0].back()), out_width}); + } +}; + +template +class SequenceReshapeGradKernel : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext& context) const override { + auto* x_tensor_ptr = context.Input("X"); + auto* outg_tensor_ptr = + context.Input(framework::GradVarName("Out")); + auto* xg_tensor_ptr = + context.Output(framework::GradVarName("X")); + + xg_tensor_ptr->mutable_data(context.GetPlace()); + framework::Copy(*outg_tensor_ptr, context.GetPlace(), xg_tensor_ptr); + xg_tensor_ptr->Resize(x_tensor_ptr->dims()); + } +}; + +} // namespace operators +} // namespace paddle diff --git a/paddle/operators/split_selected_rows_op.cc b/paddle/operators/split_selected_rows_op.cc new file mode 100644 index 0000000000..0515ea13aa --- /dev/null +++ b/paddle/operators/split_selected_rows_op.cc @@ -0,0 +1,107 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include "paddle/operators/split_selected_rows_op.h" + +namespace paddle { +namespace operators { + +class SplitSelectedRowsOpMaker : public framework::OpProtoAndCheckerMaker { + public: + SplitSelectedRowsOpMaker(OpProto *proto, OpAttrChecker *op_checker) + : OpProtoAndCheckerMaker(proto, op_checker) { + AddInput("X", "The input SelectedRows."); + AddOutput("Out", "The outputs of input SelectedRows.").AsDuplicable(); + AddAttr>("height_sections", + "Height for each output SelectedRows.") + .SetDefault(std::vector({})); + + AddComment(R"DOC( +Split a SelectedRows with a specified rows section. +height_sections is only needed when need to split the dims of the original tensor. + +Example: + Input: + X.rows = {7, 5} + X.height = 12 + Attr: + height_sections = {4, 8} + Out: + out0.rows = {} + out0.height = 4 + + out1.rows = {5, 7} + out2.height = 8 + +)DOC"); + } +}; + +class SplitSelectedRowsOp : public framework::OperatorWithKernel { + public: + using framework::OperatorWithKernel::OperatorWithKernel; + + void InferShape(framework::InferShapeContext *ctx) const override { + PADDLE_ENFORCE(ctx->HasInput("X"), "SplitSelectedRowsOp must has input X."); + PADDLE_ENFORCE(ctx->HasOutputs("Out"), + "SplitSelectedRowsOp must has output Out."); + + std::vector height_sections = + ctx->Attrs().Get>("height_sections"); + int64_t n = ctx->Outputs("Out").size(); + + std::vector outs_dims; + outs_dims.reserve(n); + + // make output dims + for (int64_t i = 0; i < n; ++i) { + auto dims = ctx->GetInputDim("X"); + if (height_sections.size()) { + PADDLE_ENFORCE_EQ( + height_sections.size(), static_cast(n), + "The size of height section should be the same with height" + " section size."); + dims[0] = height_sections[i]; + } + outs_dims.push_back(dims); + } + ctx->SetOutputsDim("Out", outs_dims); + } +}; + +class SplitSelectedRowsGradMaker : public framework::SingleGradOpDescMaker { + public: + using framework::SingleGradOpDescMaker::SingleGradOpDescMaker; + + protected: + std::unique_ptr Apply() const override { + auto *grad_op = new framework::OpDesc(); + grad_op->SetType("sum"); + grad_op->SetInput("X", OutputGrad("Out")); + grad_op->SetOutput("Out", InputGrad("X")); + grad_op->SetAttrMap(Attrs()); + return std::unique_ptr(grad_op); + } +}; + +} // namespace operators +} // namespace paddle + +namespace ops = paddle::operators; +REGISTER_OPERATOR(split_selected_rows, ops::SplitSelectedRowsOp, + ops::SplitSelectedRowsOpMaker, + ops::SplitSelectedRowsGradMaker); +REGISTER_OP_CPU_KERNEL( + split_selected_rows, + ops::SplitSelectedRowsOpKernel); diff --git a/paddle/operators/split_selected_rows_op.cu b/paddle/operators/split_selected_rows_op.cu new file mode 100644 index 0000000000..983285480f --- /dev/null +++ b/paddle/operators/split_selected_rows_op.cu @@ -0,0 +1,19 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#include "paddle/operators/split_selected_rows_op.h" +namespace ops = paddle::operators; +REGISTER_OP_CUDA_KERNEL( + split_selected_rows, + ops::SplitSelectedRowsOpKernel); diff --git a/paddle/operators/split_selected_rows_op.h b/paddle/operators/split_selected_rows_op.h new file mode 100644 index 0000000000..12e64e2901 --- /dev/null +++ b/paddle/operators/split_selected_rows_op.h @@ -0,0 +1,88 @@ +/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + +http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. */ + +#pragma once + +#include +#include "paddle/framework/op_registry.h" +#include "paddle/operators/math/selected_rows_functor.h" + +namespace paddle { +namespace operators { + +static int FindOutIdx(int row, const std::vector& height_sections) { + int offset = 0; + for (size_t i = 0; i < height_sections.size(); ++i) { + if (row >= offset && row < (offset + height_sections[i])) { + return i; + } + offset += height_sections[i]; + } + return -1; +} + +template +class SplitSelectedRowsOpKernel : public framework::OpKernel { + public: + void Compute(const framework::ExecutionContext& ctx) const override { + auto* x = ctx.Input("X"); + auto outs = ctx.MultiOutput("Out"); + auto height_sections = ctx.Attr>("height_sections"); + + auto x_rows = x->rows(); + std::vector> outs_rows_idx; + outs_rows_idx.resize(outs.size()); + + auto row_numel = x->value().numel() / x->value().dims()[0]; + auto src = x->value().data(); + + for (size_t i = 0; i < x_rows.size(); ++i) { + int out_idx = FindOutIdx(x_rows[i], height_sections); + outs_rows_idx[out_idx].push_back(i); + } + auto place = ctx.GetPlace(); + + for (size_t i = 0; i < outs_rows_idx.size(); ++i) { + auto rows_idx = outs_rows_idx[i]; + if (rows_idx.size() > 0) { + auto dims = x->GetCompleteDims(); + dims[0] = rows_idx.size(); + outs[i]->mutable_value()->mutable_data(dims, x->place()); + for (auto idx : rows_idx) { + outs[i]->mutable_rows()->push_back(x_rows[idx]); + } + auto dst = outs[i]->mutable_value()->mutable_data(ctx.GetPlace()); + for (size_t j = 0; j < rows_idx.size(); j++) { + if (platform::is_cpu_place(place)) { + memory::Copy(platform::CPUPlace(), dst + j * row_numel, + platform::CPUPlace(), src + rows_idx[j] * row_numel, + sizeof(T) * row_numel); + } else { +#ifdef PADDLE_WITH_CUDA + auto stream = ctx.cuda_device_context().stream(); + memory::Copy(platform::CUDAPlace(), dst + j * row_numel, + platform::CUDAPlace(), src + rows_idx[j] * row_numel, + sizeof(T) * row_numel, stream); +#else + PADDLE_THROW("Paddle is not compiled with GPU"); +#endif + } + } + } + } + } +}; + +} // namespace operators +} // namespace paddle diff --git a/paddle/operators/top_k_op.h b/paddle/operators/top_k_op.h index e9cd9bbd4d..bf42e15e6b 100644 --- a/paddle/operators/top_k_op.h +++ b/paddle/operators/top_k_op.h @@ -22,6 +22,7 @@ namespace paddle { namespace operators { using Tensor = framework::Tensor; +using LoDTensor = framework::LoDTensor; template @@ -33,9 +34,9 @@ class TopkKernel : public framework::OpKernel { void Compute(const framework::ExecutionContext& ctx) const override { // Get the top k elements of each row of input tensor // FIXME: only deal with matrix(2d tensor). - auto* input = ctx.Input("X"); - auto* output = ctx.Output("Out"); - auto* indices = ctx.Output("Indices"); + auto* input = ctx.Input("X"); + auto* output = ctx.Output("Out"); + auto* indices = ctx.Output("Indices"); // k is determined by Attr const size_t k = static_cast(ctx.Attr("k")); diff --git a/paddle/operators/transpose_op.cc b/paddle/operators/transpose_op.cc index 11615d806a..c7ae162638 100644 --- a/paddle/operators/transpose_op.cc +++ b/paddle/operators/transpose_op.cc @@ -59,44 +59,39 @@ class TransposeOpMaker : public framework::OpProtoAndCheckerMaker { : OpProtoAndCheckerMaker(proto, op_checker) { AddInput( "X", - "(Tensor)The input tensor, tensors with rank at most 6 are supported"); - AddOutput("Out", "(Tensor)The output tensor"); + "(Tensor) The input tensor, tensors with rank up to 6 are supported."); + AddOutput("Out", "(Tensor)The output tensor."); AddAttr>( "axis", - "(vector)A list of values, and the size of the list should be " - "the same with the input tensor rank, the tensor will " - "permute the axes according the the values given"); + "(vector) A list of values, and the size of the list should be " + "the same with the input tensor rank. This operator permutes the input " + "tensor's axes according to the values given."); AddComment(R"DOC( Transpose Operator. -The input tensor will be permuted according to the axis values given. -The op functions is similar to how numpy.transpose works in python. +The input tensor will be permuted according to the axes given. +The behavior of this operator is similar to how `numpy.transpose` works. -For example: +- suppose the input `X` is a 2-D tensor: + $$ + X = \begin{pmatrix} + 0 &1 &2 \\ + 3 &4 &5 + \end{pmatrix}$$ - .. code-block:: text + the given `axes` is: $[1, 0]$, and $Y$ = transpose($X$, axis) - input = numpy.arange(6).reshape((2,3)) + then the output $Y$ is: - the input is: + $$ + Y = \begin{pmatrix} + 0 &3 \\ + 1 &4 \\ + 2 &5 + \end{pmatrix}$$ - array([[0, 1, 2], - [3, 4, 5]]) - - given axis is: - - [1, 0] - - output = input.transpose(axis) - - then the output is: - - array([[0, 3], - [1, 4], - [2, 5]]) - -So, given a input tensor of shape(N, C, H, W) and the axis is {0, 2, 3, 1}, -the output tensor shape will be (N, H, W, C) +- Given a input tensor with shape $(N, C, H, W)$ and the `axes` is +$[0, 2, 3, 1]$, then shape of the output tensor will be: $(N, H, W, C)$. )DOC"); } diff --git a/paddle/optimizer/parameter_optimizer_test.cc b/paddle/optimizer/parameter_optimizer_test.cc index 795d2de1d6..2bcfca55cc 100644 --- a/paddle/optimizer/parameter_optimizer_test.cc +++ b/paddle/optimizer/parameter_optimizer_test.cc @@ -11,21 +11,6 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -/* - Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. -*/ #include "parameter_optimizer.h" #include diff --git a/paddle/optimizer/serialization.h b/paddle/optimizer/serialization.h index 92fbf65cc6..98548ddb7a 100644 --- a/paddle/optimizer/serialization.h +++ b/paddle/optimizer/serialization.h @@ -1,3 +1,17 @@ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + #pragma once #include diff --git a/paddle/optimizer/serialization_test.cc b/paddle/optimizer/serialization_test.cc index 0f1b14eec1..25a8f5d351 100644 --- a/paddle/optimizer/serialization_test.cc +++ b/paddle/optimizer/serialization_test.cc @@ -11,21 +11,6 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -/* - Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. -*/ #include "serialization.h" #include "gtest/gtest.h" diff --git a/paddle/platform/CMakeLists.txt b/paddle/platform/CMakeLists.txt index 44f6d85cd1..d68caea997 100644 --- a/paddle/platform/CMakeLists.txt +++ b/paddle/platform/CMakeLists.txt @@ -10,7 +10,7 @@ cc_test(cpu_info_test SRCS cpu_info_test.cc DEPS cpu_info) nv_library(gpu_info SRCS gpu_info.cc DEPS gflags glog enforce) -cc_library(place SRCS place.cc DEPS enforce) +cc_library(place SRCS place.cc DEPS enforce boost) cc_test(place_test SRCS place_test.cc DEPS place glog gflags) add_subdirectory(dynload) @@ -39,3 +39,11 @@ nv_test(nccl_test SRCS nccl_test.cu DEPS dynload_cuda gpu_info device_context) cc_library(profiler SRCS profiler.cc DEPS device_context) cc_test(profiler_test SRCS profiler_test.cc DEPS profiler) + +if(NOT WITH_C_API AND WITH_FLUID) + file(GLOB PLATFORM_HEADERS *.h) + file(GLOB PLATFORM_dynload_HEADERS dynload/*.h) + install(FILES ${PLATFORM_HEADERS} DESTINATION include/paddle/platform) + install(FILES ${PLATFORM_HEADERS} DESTINATION include/paddle/platform/dynload) + install(FILES details/device_ptr_cast.h DESTINATION include/paddle/platform/details) +endif() diff --git a/paddle/platform/assert.h b/paddle/platform/assert.h index 70d3bf7506..d813b9529b 100644 --- a/paddle/platform/assert.h +++ b/paddle/platform/assert.h @@ -1,3 +1,17 @@ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + #pragma once #define STRINGIFY(x) #x diff --git a/paddle/platform/profiler.cc b/paddle/platform/profiler.cc index 7e2e2d968e..2a8afc9403 100644 --- a/paddle/platform/profiler.cc +++ b/paddle/platform/profiler.cc @@ -47,16 +47,16 @@ inline uint64_t GetTimeInNsec() { } Event::Event(EventKind kind, std::string name, uint32_t thread_id, - DeviceContext* dev_ctx) + const DeviceContext* dev_ctx) : kind_(kind), name_(name), thread_id_(thread_id), has_cuda_(false) { #ifdef PADDLE_WITH_CUDA - auto* cuda_dev_ctx = static_cast(dev_ctx); - if (cuda_dev_ctx) { + has_cuda_ = dev_ctx ? platform::is_gpu_place(dev_ctx->GetPlace()) : false; + if (has_cuda_) { + auto* cuda_dev_ctx = static_cast(dev_ctx); PADDLE_ENFORCE(cudaGetDevice(&device_)); PADDLE_ENFORCE(cudaEventCreate(&event_)); auto stream = cuda_dev_ctx->stream(); PADDLE_ENFORCE(cudaEventRecord(event_, stream)); - has_cuda_ = true; } #endif cpu_ns_ = GetTimeInNsec(); @@ -114,19 +114,20 @@ inline EventList& GetEventList() { return *g_event_list; } -void Mark(const std::string& name, DeviceContext* dev_ctx) { +void Mark(const std::string& name, const DeviceContext* dev_ctx) { GetEventList().Record(EventKind::kMark, name, g_thread_id, dev_ctx); } -void PushEvent(const std::string& name, DeviceContext* dev_ctx) { +void PushEvent(const std::string& name, const DeviceContext* dev_ctx) { GetEventList().Record(EventKind::kPushRange, name, g_thread_id, dev_ctx); } -void PopEvent(const std::string& name, DeviceContext* dev_ctx) { +void PopEvent(const std::string& name, const DeviceContext* dev_ctx) { GetEventList().Record(EventKind::kPopRange, name, g_thread_id, dev_ctx); } -RecordEvent::RecordEvent(const std::string& name, DeviceContext* dev_ctx) { +RecordEvent::RecordEvent(const std::string& name, + const DeviceContext* dev_ctx) { if (g_state == ProfilerState::kDisabled) return; dev_ctx_ = dev_ctx; name_ = name; @@ -155,6 +156,7 @@ void EnableProfiler(ProfilerState state) { DeviceContext* dev_ctx = new CUDADeviceContext(CUDAPlace(d)); Mark("_cuda_startup_", dev_ctx); dev_ctx->Wait(); + delete dev_ctx; }); } } @@ -163,14 +165,17 @@ void EnableProfiler(ProfilerState state) { Mark("_start_profiler_", nullptr); } -std::vector> DisableProfiler() { - PADDLE_ENFORCE(g_state != ProfilerState::kDisabled, - "Can't disable profiling, since it's not starting."); - // Mark the profiling stop. - Mark("_stop_profiler_", nullptr); - g_state = ProfilerState::kDisabled; - std::vector> result; +void ResetProfiler() { std::lock_guard guard(g_all_event_lists_mutex); + for (auto it = g_all_event_lists.begin(); it != g_all_event_lists.end(); + ++it) { + (*it)->Clear(); + } +} + +std::vector> GetAllEvents() { + std::lock_guard guard(g_all_event_lists_mutex); + std::vector> result; for (auto it = g_all_event_lists.begin(); it != g_all_event_lists.end(); ++it) { result.emplace_back((*it)->Reduce()); @@ -178,6 +183,18 @@ std::vector> DisableProfiler() { return result; } +void DisableProfiler(EventSortingKey sorted_key) { + PADDLE_ENFORCE(g_state != ProfilerState::kDisabled, + "Can't disable profiling, since it's not starting."); + // Mark the profiling stop. + Mark("_stop_profiler_", nullptr); + g_state = ProfilerState::kDisabled; + + std::vector> all_events = GetAllEvents(); + ParseEvents(all_events, sorted_key); + ResetProfiler(); +} + void ParseEvents(std::vector>& events, EventSortingKey sorted_by) { if (g_profiler_place == "") return; @@ -291,12 +308,12 @@ void ParseEvents(std::vector>& events, } // Print report - PrintProfilingReport(events_table, sorted_domain, max_name_width + 4, 12); + PrintProfiler(events_table, sorted_domain, max_name_width + 4, 12); } -void PrintProfilingReport(std::vector>& events_table, - std::string& sorted_domain, const size_t name_width, - const size_t data_width) { +void PrintProfiler(std::vector>& events_table, + std::string& sorted_domain, const size_t name_width, + const size_t data_width) { // Output header information std::cout << "\n------------------------->" << " Profiling Report " diff --git a/paddle/platform/profiler.h b/paddle/platform/profiler.h index 6df48ef880..8de1e6ad29 100644 --- a/paddle/platform/profiler.h +++ b/paddle/platform/profiler.h @@ -29,7 +29,7 @@ class Event { // The DeviceContext is used to get the cuda stream. // If CPU profiling mode, can pass nullptr. Event(EventKind kind, std::string name, uint32_t thread_id, - DeviceContext* dev_ctx); + const DeviceContext* dev_ctx); std::string kind() const; std::string name() const { return name_; } @@ -84,6 +84,8 @@ struct EventList { return result; } + void Clear() { event_blocks.clear(); } + std::forward_list> event_blocks; }; @@ -93,29 +95,26 @@ enum ProfilerState { kCUDA, // GPU profiling state }; -void Mark(const std::string& name, DeviceContext* dev_ctx); +void Mark(const std::string& name, const DeviceContext* dev_ctx); -void PushEvent(const std::string& name, DeviceContext* dev_ctx); +void PushEvent(const std::string& name, const DeviceContext* dev_ctx); -void PopEvent(const std::string& name, DeviceContext* dev_ctx); +void PopEvent(const std::string& name, const DeviceContext* dev_ctx); struct RecordEvent { - explicit RecordEvent(const std::string& name, DeviceContext* dev_ctx); + explicit RecordEvent(const std::string& name, const DeviceContext* dev_ctx); ~RecordEvent(); // The device context is used by Event to get the current cuda stream. - DeviceContext* dev_ctx_; + const DeviceContext* dev_ctx_; // Event name std::string name_; }; -// Enable the profiling function. -void EnableProfiler(ProfilerState state); - // Return the event list of all threads. Asummed the returned value calls // event_lists, event_lists[i][j] represents the j-th Event of i-th thread. -std::vector> DisableProfiler(); +std::vector> GetAllEvents(); // The information of each event given in the profiling report struct EventItem { @@ -130,13 +129,22 @@ struct EventItem { // Candidate keys to sort the profiling report enum EventSortingKey { kDefault, kCalls, kTotal, kMin, kMax, kAve }; +// Enable the profiling function. +void EnableProfiler(ProfilerState state); + +// Clear the g_all_event_lists, which is total event lists of all threads. +void ResetProfiler(); + +void DisableProfiler(EventSortingKey sorted_key); + // Parse the event list and output the profiling report void ParseEvents(std::vector>&, EventSortingKey sorted_by = EventSortingKey::kDefault); // Print results -void PrintProfilingReport(std::vector>& events_table, - std::string& sorted_domain, const size_t name_width, - const size_t data_width); +void PrintProfiler(std::vector>& events_table, + std::string& sorted_domain, const size_t name_width, + const size_t data_width); + } // namespace platform } // namespace paddle diff --git a/paddle/platform/profiler_test.cc b/paddle/platform/profiler_test.cc index 13dea713c7..81f10c9134 100644 --- a/paddle/platform/profiler_test.cc +++ b/paddle/platform/profiler_test.cc @@ -103,18 +103,14 @@ TEST(RecordEvent, RecordEvent) { // Bad Usage: PushEvent("event_without_pop", dev_ctx); PopEvent("event_without_push", dev_ctx); - std::vector> events = paddle::platform::DisableProfiler(); - // Will remove parsing-related code from test later - ParseEvents(events, EventSortingKey::kTotal); + std::vector> events = paddle::platform::GetAllEvents(); int cuda_startup_count = 0; int start_profiler_count = 0; - int stop_profiler_count = 0; for (size_t i = 0; i < events.size(); ++i) { for (size_t j = 0; j < events[i].size(); ++j) { if (events[i][j].name() == "_cuda_startup_") ++cuda_startup_count; if (events[i][j].name() == "_start_profiler_") ++start_profiler_count; - if (events[i][j].name() == "_stop_profiler_") ++stop_profiler_count; if (events[i][j].name() == "push") { EXPECT_EQ(events[i][j + 1].name(), "pop"); #ifdef PADDLE_WITH_CUDA @@ -127,5 +123,7 @@ TEST(RecordEvent, RecordEvent) { } EXPECT_EQ(cuda_startup_count % 5, 0); EXPECT_EQ(start_profiler_count, 1); - EXPECT_EQ(stop_profiler_count, 1); + + // Will remove parsing-related code from test later + DisableProfiler(EventSortingKey::kTotal); } diff --git a/paddle/pybind/CMakeLists.txt b/paddle/pybind/CMakeLists.txt index 7b37430707..e78673e0ba 100644 --- a/paddle/pybind/CMakeLists.txt +++ b/paddle/pybind/CMakeLists.txt @@ -1,7 +1,7 @@ if(WITH_PYTHON) cc_library(paddle_pybind SHARED SRCS pybind.cc exception.cc protobuf.cc const_value.cc - DEPS pybind python backward proto_desc paddle_memory executor prune init + DEPS pybind python backward proto_desc paddle_memory executor prune init profiler ${GLOB_OP_LIB}) if(NOT APPLE AND NOT ANDROID) target_link_libraries(paddle_pybind rt) diff --git a/paddle/pybind/print_operators_doc.cc b/paddle/pybind/print_operators_doc.cc index 99694fa592..b55ddee176 100644 --- a/paddle/pybind/print_operators_doc.cc +++ b/paddle/pybind/print_operators_doc.cc @@ -64,6 +64,8 @@ std::string AttrType(paddle::framework::proto::AttrType at) { return "bool array"; case paddle::framework::proto::BLOCK: return "block id"; + case paddle::framework::proto::LONG: + return "long"; } return "UNKNOWN"; // not possible } diff --git a/paddle/pybind/protobuf.cc b/paddle/pybind/protobuf.cc index 4f95948153..371d6119d4 100644 --- a/paddle/pybind/protobuf.cc +++ b/paddle/pybind/protobuf.cc @@ -212,6 +212,7 @@ void BindVarDsec(py::module &m) { return name; }, py::return_value_policy::reference) + .def("set_name", &VarDesc::SetName) .def("set_shape", &VarDesc::SetShape) .def("set_dtype", &VarDesc::SetDataType) .def("shape", &VarDesc::Shape, py::return_value_policy::reference) @@ -280,7 +281,8 @@ void BindOpDesc(py::module &m) { .def("check_attrs", &OpDesc::CheckAttrs) .def("infer_shape", &OpDesc::InferShape) .def("infer_var_type", &OpDesc::InferVarType) - .def("serialize_to_string", SerializeMessage); + .def("serialize_to_string", SerializeMessage) + .def("block", &OpDesc::Block, py::return_value_policy::reference); } } // namespace pybind diff --git a/paddle/pybind/protobuf.h b/paddle/pybind/protobuf.h index 089183accc..9e747e9ea6 100644 --- a/paddle/pybind/protobuf.h +++ b/paddle/pybind/protobuf.h @@ -17,6 +17,7 @@ limitations under the License. */ #include #include #include +#include "paddle/platform/variant.h" #include "pybind11/numpy.h" #include "pybind11/pybind11.h" #include "pybind11/stl.h" diff --git a/paddle/pybind/pybind.cc b/paddle/pybind/pybind.cc index c5d70bc9f9..82f5b1922c 100644 --- a/paddle/pybind/pybind.cc +++ b/paddle/pybind/pybind.cc @@ -30,6 +30,7 @@ limitations under the License. */ #include "paddle/operators/net_op.h" #include "paddle/platform/enforce.h" #include "paddle/platform/place.h" +#include "paddle/platform/profiler.h" #include "paddle/pybind/const_value.h" #include "paddle/pybind/exception.h" #include "paddle/pybind/pybind.h" @@ -476,6 +477,24 @@ All parameter, weight, gradient are variables in Paddle. m.def("nvprof_stop", platform::CudaProfilerStop); #endif + py::enum_(m, "ProfilerState", py::arithmetic()) + .value("kDisabled", platform::ProfilerState::kDisabled) + .value("kCPU", platform::ProfilerState::kCPU) + .value("kCUDA", platform::ProfilerState::kCUDA) + .export_values(); + + py::enum_(m, "EventSortingKey", py::arithmetic()) + .value("kDefault", platform::EventSortingKey::kDefault) + .value("kCalls", platform::EventSortingKey::kCalls) + .value("kTotal", platform::EventSortingKey::kTotal) + .value("kMin", platform::EventSortingKey::kMin) + .value("kMax", platform::EventSortingKey::kMax) + .value("kAve", platform::EventSortingKey::kAve) + .export_values(); + + m.def("enable_profiler", platform::EnableProfiler); + m.def("disable_profiler", platform::DisableProfiler); + m.def("reset_profiler", platform::ResetProfiler); return m.ptr(); } } // namespace pybind diff --git a/paddle/scripts/cluster_train/paddle.py b/paddle/scripts/cluster_train/paddle.py index e44bb4505b..ba313ac6a1 100644 --- a/paddle/scripts/cluster_train/paddle.py +++ b/paddle/scripts/cluster_train/paddle.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/python # Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved # @@ -93,168 +80,3 @@ def job_prepare(jobdir, data=None): #create job dir run('rm ' + jobdir + ' -fr && ' + 'mkdir -p ' + jobdir) #push data and paddle bin - put(data + "/*", jobdir) - run("mkdir -p " + log) - run('rm -fr ' + log + "/*") - - def set_nodefile(nodeid): - ''' - create nodefile for later usage - ''' - run('echo ' + str(nodeid) + ' > ' + jobdir + '/nodefile') - - execute(job_create_workspace, jobdir, data, hosts=conf.HOSTS) - for i in xrange(len(conf.HOSTS)): - execute(set_nodefile, i, hosts=conf.HOSTS[i]) - #clean rubbish caused by exception - with settings(warn_only=True): - execute(kill_process, hosts=conf.HOSTS) - - -def job_pserver(jobdir, pids=None): - ''' - start all pservers - ''' - pargs = " --num_gradient_servers=" + str(len(conf.HOSTS)) - pargs += (" --nics=" + conf.PADDLE_NIC) - pargs += " --port=" + str(conf.PADDLE_PORT) - pargs += " --ports_num=" + str(conf.PADDLE_PORTS_NUM) - #always start sparse pserver by default - pargs += " --ports_num_for_sparse=" + str(conf.PADDLE_PORTS_NUM_FOR_SPARSE) - pargs += " --comment=" + "paddle_process_by_paddle" - - def start_pserver(jobdir, pargs): - ''' - start pserver process with fabric executor - ''' - with prefix('export LD_LIBRARY_PATH=' + \ - conf.LD_LIBRARY_PATH + \ - ':$LD_LIBRARY_PATH'): - program = 'paddle pserver' - run('cd ' + jobdir + '; ' + \ - 'GLOG_logtostderr=0 GLOG_log_dir="./log" ' + \ - 'nohup ' + \ - program + " " + pargs + ' > ./log/server.log 2>&1 < /dev/null & ', - pty=False) - - execute(start_pserver, jobdir, pargs, hosts=conf.HOSTS) - - -def job_trainer(jobdir, train_args_dict, pids=None): - ''' - start paddle trainer - ''' - args = " --num_gradient_servers=" + str(len(conf.HOSTS)) - args += " --nics=" + conf.PADDLE_NIC - args += " --port=" + str(conf.PADDLE_PORT) - args += " --ports_num=" + str(conf.PADDLE_PORTS_NUM) - args += " --comment=" + "paddle_process_by_paddle" - ip_string = "" - for i in xrange(len(conf.HOSTS)): - host = conf.HOSTS[i] - left = host.find("@") - right = host.find(':') - left = 0 if left == -1 else left + 1 - right = len(host) if right == -1 else right - ip_string += (socket.gethostbyname(host[left:right]) + ",") - ip_string = ip_string.rstrip(",") - args += " --pservers=" + ip_string - - args_ext = "" - for key, value in train_args_dict.items(): - args_ext += (' --' + key + '=' + value) - args += " " + args_ext - - def start_trainer(jobdir, args): - ''' - start trainer process with fabric executor - ''' - with prefix('export LD_LIBRARY_PATH=' + \ - conf.LD_LIBRARY_PATH + \ - ':$LD_LIBRARY_PATH'): - program = 'paddle train' - run('cd ' + jobdir + '; ' + \ - 'GLOG_logtostderr=0 ' - 'GLOG_log_dir="./log" ' - 'nohup ' + \ - program + " " + args + " > ./log/train.log 2>&1 < /dev/null & ", - pty=False) - - for i in xrange(len(conf.HOSTS)): - train_args = copy.deepcopy(args) - train_args += " --trainer_id=" + str(i) - execute(start_trainer, jobdir, train_args, hosts=conf.HOSTS[i]) - - -def job_all(job_package, jobdir=None, train_args_dict=None): - ''' - param job_package - param train_args_dict - ''' - if jobdir is None: - timestamp = time.strftime("%Y%m%d%H%M%S", time.localtime()) - jobdir = conf.ROOT_DIR + "/JOB" + timestamp - job_prepare(jobdir, job_package) - job_pserver(jobdir) - time.sleep(5) #wait until pservers completely start - job_trainer(jobdir, train_args_dict) - job_clean() - - -def job_clean(): - ''' - if starting job failed from paddle internal, the framework always - is launched successfully since these process are daemon processes. - so this job_clean can alway clean job rubbish process with ctrl+c. - ''' - - def signal_handler(signal, frame): - ''' - SIGINT handler - ''' - - def kill_process(): - run("ps aux \ - | grep paddle_process_by_paddle \ - | grep -v grep \ - | awk '{print $2}' \ - | xargs kill > /dev/null 2>&1") - - with settings(warn_only=True): - execute(kill_process, hosts=conf.HOSTS) - - signal.signal(signal.SIGINT, signal_handler) - signal.pause() - - -if __name__ == '__main__': - parser = argparse.ArgumentParser( - prog="paddle.py", description='simple tool for cluster training') - parser.add_argument( - '-j', - '--job_workspace', - required=False, - default=None, - help='job workspace') - parser.add_argument( - '-p', - '--job_dispatch_package', - required=False, - default=None, - help='job package for dispatching to all other nodes') - - args, train_args_list = parser.parse_known_args() - train_args = refine_unknown_args(train_args_list) - train_args_dict = dict(zip(train_args[:-1:2], train_args[1::2])) - - if args.job_workspace is not None: - #if assigned workspace, do not need to dispatch data, - #so job_local_package should be None - assert args.job_dispatch_package is None - job_all(None, args.job_workspace, train_args_dict) - elif args.job_dispatch_package is not None: - assert args.job_workspace is None - assert os.path.isdir(args.job_dispatch_package) - job_all(args.job_dispatch_package, None, train_args_dict) - else: - print "--job_workspace or --job_dispatch_package should be set" diff --git a/paddle/scripts/cpplint.py b/paddle/scripts/cpplint.py index d0cbb070c4..dff4339ea3 100644 --- a/paddle/scripts/cpplint.py +++ b/paddle/scripts/cpplint.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/env python # # Copyright (c) 2009 Google Inc. All rights reserved. diff --git a/paddle/string/CMakeLists.txt b/paddle/string/CMakeLists.txt index 60667b7287..751776dbb5 100644 --- a/paddle/string/CMakeLists.txt +++ b/paddle/string/CMakeLists.txt @@ -1,5 +1,10 @@ cc_library(stringpiece SRCS piece.cc) cc_test(stringpiece_test SRCS piece_test.cc DEPS stringpiece glog gflags) - cc_test(stringprintf_test SRCS printf_test.cc DEPS glog gflags) cc_test(to_string_test SRCS to_string_test.cc) + +if(NOT WITH_C_API AND WITH_FLUID) + file(GLOB STRING_HEADERS *.h) + install(FILES ${STRING_HEADERS} DESTINATION include/paddle/string) + install(FILES tinyformat/tinyformat.h DESTINATION include/paddle/string/tinyformat) +endif() diff --git a/paddle/string/piece.cc b/paddle/string/piece.cc index 2a553e2832..330ca5f015 100644 --- a/paddle/string/piece.cc +++ b/paddle/string/piece.cc @@ -11,21 +11,6 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -/* - Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. -*/ #include "paddle/string/piece.h" diff --git a/paddle/string/piece.h b/paddle/string/piece.h index fc95263379..f2bb6b2c76 100644 --- a/paddle/string/piece.h +++ b/paddle/string/piece.h @@ -11,21 +11,6 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -/* - Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. -*/ #pragma once diff --git a/paddle/string/piece_test.cc b/paddle/string/piece_test.cc index fb8b972988..250f26d61f 100644 --- a/paddle/string/piece_test.cc +++ b/paddle/string/piece_test.cc @@ -11,21 +11,6 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -/* - Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. -*/ #include "paddle/string/piece.h" diff --git a/paddle/string/printf.h b/paddle/string/printf.h index 70d2511531..03809d2209 100644 --- a/paddle/string/printf.h +++ b/paddle/string/printf.h @@ -11,21 +11,6 @@ // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. -/* - Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. -*/ // Compared with std::stringstream, there are primary purpose of // string::Printf: diff --git a/paddle/string/tinyformat/tinyformat.h b/paddle/string/tinyformat/tinyformat.h index 092c04c315..d1a2c47f1a 100644 --- a/paddle/string/tinyformat/tinyformat.h +++ b/paddle/string/tinyformat/tinyformat.h @@ -1,16 +1,17 @@ -// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // -// http://www.apache.org/licenses/LICENSE-2.0 +// http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. + // tinyformat.h // Copyright (C) 2011, Chris Foster [chris42f (at) gmail (d0t) com] // diff --git a/paddle/trainer/tests/picojson.h b/paddle/trainer/tests/picojson.h index 4aa64961d0..eaa8b9baf6 100644 --- a/paddle/trainer/tests/picojson.h +++ b/paddle/trainer/tests/picojson.h @@ -1,3 +1,17 @@ +// Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. + /* * Copyright 2009-2010 Cybozu Labs, Inc. * Copyright 2011-2014 Kazuho Oku diff --git a/paddle/trainer/tests/simple_sparse_neural_network.py b/paddle/trainer/tests/simple_sparse_neural_network.py index ba554d5872..970fb466dc 100644 --- a/paddle/trainer/tests/simple_sparse_neural_network.py +++ b/paddle/trainer/tests/simple_sparse_neural_network.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=17, learning_method=AdaGradOptimizer(), learning_rate=1e-4) diff --git a/paddle/trainer/tests/simple_sparse_neural_network_dp.py b/paddle/trainer/tests/simple_sparse_neural_network_dp.py index 44e96873f0..49043c9175 100644 --- a/paddle/trainer/tests/simple_sparse_neural_network_dp.py +++ b/paddle/trainer/tests/simple_sparse_neural_network_dp.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer.PyDataProvider2 import provider, integer_sequence, integer_value import random diff --git a/paddle/utils/enable_virtualenv.py b/paddle/utils/enable_virtualenv.py index 29f8deb324..4e998381e9 100644 --- a/paddle/utils/enable_virtualenv.py +++ b/paddle/utils/enable_virtualenv.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import os diff --git a/python/paddle/trainer_config_helpers/evaluators.py b/python/paddle/trainer_config_helpers/evaluators.py index 95797fba8f..0eeaf7eabb 100644 --- a/python/paddle/trainer_config_helpers/evaluators.py +++ b/python/paddle/trainer_config_helpers/evaluators.py @@ -16,13 +16,22 @@ from paddle.trainer.config_parser import * from default_decorators import * __all__ = [ - "evaluator_base", "classification_error_evaluator", "auc_evaluator", - "pnpair_evaluator", "precision_recall_evaluator", "ctc_error_evaluator", - "chunk_evaluator", "sum_evaluator", "column_sum_evaluator", - "value_printer_evaluator", "gradient_printer_evaluator", - "maxid_printer_evaluator", "maxframe_printer_evaluator", - "seqtext_printer_evaluator", "classification_error_printer_evaluator", - "detection_map_evaluator" + "evaluator_base", + "classification_error_evaluator", + "auc_evaluator", + "pnpair_evaluator", + "precision_recall_evaluator", + "ctc_error_evaluator", + "chunk_evaluator", + "sum_evaluator", + "column_sum_evaluator", + "value_printer_evaluator", + "gradient_printer_evaluator", + "maxid_printer_evaluator", + "maxframe_printer_evaluator", + "seqtext_printer_evaluator", + "classification_error_printer_evaluator", + "detection_map_evaluator", ] diff --git a/python/paddle/trainer_config_helpers/tests/configs/img_layers.py b/python/paddle/trainer_config_helpers/tests/configs/img_layers.py index c944a96042..93b505a602 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/img_layers.py +++ b/python/paddle/trainer_config_helpers/tests/configs/img_layers.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(learning_rate=1e-3, batch_size=1000) diff --git a/python/paddle/trainer_config_helpers/tests/configs/img_trans_layers.py b/python/paddle/trainer_config_helpers/tests/configs/img_trans_layers.py index 27b11ffdfc..745f060fa5 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/img_trans_layers.py +++ b/python/paddle/trainer_config_helpers/tests/configs/img_trans_layers.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(learning_rate=1e-3, batch_size=1000) diff --git a/python/paddle/trainer_config_helpers/tests/configs/last_first_seq.py b/python/paddle/trainer_config_helpers/tests/configs/last_first_seq.py index 6a90051827..b6fc8f70f9 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/last_first_seq.py +++ b/python/paddle/trainer_config_helpers/tests/configs/last_first_seq.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/layer_activations.py b/python/paddle/trainer_config_helpers/tests/configs/layer_activations.py index 06115d62e7..6edc03bba0 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/layer_activations.py +++ b/python/paddle/trainer_config_helpers/tests/configs/layer_activations.py @@ -1,16 +1,16 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. ''' Test all activations. ''' diff --git a/python/paddle/trainer_config_helpers/tests/configs/math_ops.py b/python/paddle/trainer_config_helpers/tests/configs/math_ops.py index f5e90fdd89..59a71e1cd1 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/math_ops.py +++ b/python/paddle/trainer_config_helpers/tests/configs/math_ops.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/projections.py b/python/paddle/trainer_config_helpers/tests/configs/projections.py index c683d378ca..96f06b4018 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/projections.py +++ b/python/paddle/trainer_config_helpers/tests/configs/projections.py @@ -1,16 +1,16 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. ''' Test mixed layer, projections and operators. ''' diff --git a/python/paddle/trainer_config_helpers/tests/configs/shared_fc.py b/python/paddle/trainer_config_helpers/tests/configs/shared_fc.py index bf90d1762c..69a0a5b8ff 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/shared_fc.py +++ b/python/paddle/trainer_config_helpers/tests/configs/shared_fc.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(learning_rate=1e-4, batch_size=1000) diff --git a/python/paddle/trainer_config_helpers/tests/configs/shared_gru.py b/python/paddle/trainer_config_helpers/tests/configs/shared_gru.py index 7cfab83855..97b41fb372 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/shared_gru.py +++ b/python/paddle/trainer_config_helpers/tests/configs/shared_gru.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(learning_rate=1e-4, batch_size=1000) diff --git a/python/paddle/trainer_config_helpers/tests/configs/shared_lstm.py b/python/paddle/trainer_config_helpers/tests/configs/shared_lstm.py index 8a425c7062..4e653dedb9 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/shared_lstm.py +++ b/python/paddle/trainer_config_helpers/tests/configs/shared_lstm.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(learning_rate=1e-4, batch_size=1000) diff --git a/python/paddle/trainer_config_helpers/tests/configs/simple_rnn_layers.py b/python/paddle/trainer_config_helpers/tests/configs/simple_rnn_layers.py index 8ee213a493..dc418325f8 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/simple_rnn_layers.py +++ b/python/paddle/trainer_config_helpers/tests/configs/simple_rnn_layers.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-4) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_BatchNorm3D.py b/python/paddle/trainer_config_helpers/tests/configs/test_BatchNorm3D.py index cbd3c3e97f..5b98e3fb34 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_BatchNorm3D.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_BatchNorm3D.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-4) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_bi_grumemory.py b/python/paddle/trainer_config_helpers/tests/configs/test_bi_grumemory.py index bed9154fe3..f3abdfe1ae 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_bi_grumemory.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_bi_grumemory.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-4) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_bilinear_interp.py b/python/paddle/trainer_config_helpers/tests/configs/test_bilinear_interp.py index 7e1da753f5..4eb9f207e0 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_bilinear_interp.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_bilinear_interp.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_clip_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_clip_layer.py index 0a719b0735..24564c105f 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_clip_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_clip_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * data = data_layer(name='input', size=300) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_config_parser_for_non_file_config.py b/python/paddle/trainer_config_helpers/tests/configs/test_config_parser_for_non_file_config.py index 7003872700..9b791a0222 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_config_parser_for_non_file_config.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_config_parser_for_non_file_config.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/env python # Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved. # diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_conv3d_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_conv3d_layer.py index fb2cacd443..35087c4228 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_conv3d_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_conv3d_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_cost_layers.py b/python/paddle/trainer_config_helpers/tests/configs/test_cost_layers.py index a8b5c860ef..b076b89106 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_cost_layers.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_cost_layers.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(learning_rate=1e-4, batch_size=1000) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_cost_layers_with_weight.py b/python/paddle/trainer_config_helpers/tests/configs/test_cost_layers_with_weight.py index eba2e1e483..fa7a1abe9a 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_cost_layers_with_weight.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_cost_layers_with_weight.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(learning_rate=1e-4, batch_size=1000) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_crop.py b/python/paddle/trainer_config_helpers/tests/configs/test_crop.py index 870388faf7..569d747857 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_crop.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_crop.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_cross_entropy_over_beam.py b/python/paddle/trainer_config_helpers/tests/configs/test_cross_entropy_over_beam.py index 253244dcd4..4a5bdf1181 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_cross_entropy_over_beam.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_cross_entropy_over_beam.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/env python #coding=utf-8 diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_deconv3d_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_deconv3d_layer.py index db950093b3..4f27d99873 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_deconv3d_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_deconv3d_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_detection_output_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_detection_output_layer.py index d304a29859..d37954222e 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_detection_output_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_detection_output_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_dot_prod_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_dot_prod_layer.py index 2e5dde2da2..63ba0a72b9 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_dot_prod_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_dot_prod_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * vec1 = data_layer(name='vector1', size=10) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_expand_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_expand_layer.py index 345fb2b6ab..9892bca05d 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_expand_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_expand_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_factorization_machine.py b/python/paddle/trainer_config_helpers/tests/configs/test_factorization_machine.py index 3a489a39da..6fb773d9f7 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_factorization_machine.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_factorization_machine.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * data = data_layer(name='data', size=1024) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_fc.py b/python/paddle/trainer_config_helpers/tests/configs/test_fc.py index 90b0e37270..4dd37d0242 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_fc.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_fc.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_gated_unit_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_gated_unit_layer.py index 2bd4ab2da4..082646b9d3 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_gated_unit_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_gated_unit_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * data = data_layer(name='input', size=256) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_grumemory_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_grumemory_layer.py index 451909ee18..f5271b8280 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_grumemory_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_grumemory_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-4) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_hsigmoid.py b/python/paddle/trainer_config_helpers/tests/configs/test_hsigmoid.py index 3ebe40aadc..ad86d7d5bd 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_hsigmoid.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_hsigmoid.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(learning_rate=1e-4, batch_size=1000) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_kmax_seq_socre_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_kmax_seq_socre_layer.py index c762467feb..171da10f75 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_kmax_seq_socre_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_kmax_seq_socre_layer.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/env python #coding=utf-8 from paddle.trainer_config_helpers import * diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_l2_distance_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_l2_distance_layer.py index 58bf3de104..1796e1c6b6 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_l2_distance_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_l2_distance_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * outputs( diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_lstmemory_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_lstmemory_layer.py index 8d570706df..7484818ab2 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_lstmemory_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_lstmemory_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_maxout.py b/python/paddle/trainer_config_helpers/tests/configs/test_maxout.py index 3b6117d297..22788be2e9 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_maxout.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_maxout.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_multibox_loss_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_multibox_loss_layer.py index 083d064367..0dcccc49e4 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_multibox_loss_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_multibox_loss_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_multiplex_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_multiplex_layer.py index 9c14455841..046d38741e 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_multiplex_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_multiplex_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_ntm_layers.py b/python/paddle/trainer_config_helpers/tests/configs/test_ntm_layers.py index 046698fb4e..d81128c77c 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_ntm_layers.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_ntm_layers.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_pad.py b/python/paddle/trainer_config_helpers/tests/configs/test_pad.py index 1046db2f09..44b0b34d5a 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_pad.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_pad.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_pooling3D_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_pooling3D_layer.py index 37805d4376..e257e735ad 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_pooling3D_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_pooling3D_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=100, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_prelu_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_prelu_layer.py index 10d759f6d9..098e2397ec 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_prelu_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_prelu_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * data = data_layer(name='input', size=300, height=10, width=10) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_print_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_print_layer.py index 22e0ce3e5a..714d8893e9 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_print_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_print_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(learning_rate=1e-4, batch_size=1000) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_recursive_topology.py b/python/paddle/trainer_config_helpers/tests/configs/test_recursive_topology.py index d1d97f1c5e..188a3d2320 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_recursive_topology.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_recursive_topology.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_repeat_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_repeat_layer.py index 6818b91f96..93b673afee 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_repeat_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_repeat_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_resize_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_resize_layer.py index ce8a22ebb1..3a202974e3 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_resize_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_resize_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * data = data_layer(name='input', size=300) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_rnn_group.py b/python/paddle/trainer_config_helpers/tests/configs/test_rnn_group.py index 79dad5e250..91074b8fdf 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_rnn_group.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_rnn_group.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(learning_rate=1e-4, batch_size=1000) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_roi_pool_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_roi_pool_layer.py index 264341f899..f0a37f7e99 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_roi_pool_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_roi_pool_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * data = data_layer(name='data', size=3 * 14 * 14, height=14, width=14) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_row_conv.py b/python/paddle/trainer_config_helpers/tests/configs/test_row_conv.py index 342a5029a8..68b1a991f3 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_row_conv.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_row_conv.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_row_l2_norm_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_row_l2_norm_layer.py index 9521fa6c47..c25393f580 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_row_l2_norm_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_row_l2_norm_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * data = data_layer(name='input', size=300) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_scale_shift_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_scale_shift_layer.py index 698d19d037..3691e8daea 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_scale_shift_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_scale_shift_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * data = data_layer(name='data', size=100) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_scale_sub_region_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_scale_sub_region_layer.py index 22fb25d0f2..426afcf3a0 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_scale_sub_region_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_scale_sub_region_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_seq_concat_reshape.py b/python/paddle/trainer_config_helpers/tests/configs/test_seq_concat_reshape.py index 1883ed9d4e..7296081857 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_seq_concat_reshape.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_seq_concat_reshape.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_seq_slice_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_seq_slice_layer.py index 12d7f1f33b..510ad32208 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_seq_slice_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_seq_slice_layer.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/env python #coding=utf-8 from paddle.trainer_config_helpers import * diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_sequence_pooling.py b/python/paddle/trainer_config_helpers/tests/configs/test_sequence_pooling.py index 8cf5fd70e3..d13a5a8429 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_sequence_pooling.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_sequence_pooling.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(learning_rate=1e-4, batch_size=1000) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_smooth_l1.py b/python/paddle/trainer_config_helpers/tests/configs/test_smooth_l1.py index 7188d82a53..42225b8505 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_smooth_l1.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_smooth_l1.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * data = data_layer(name='input', size=300) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_split_datasource.py b/python/paddle/trainer_config_helpers/tests/configs/test_split_datasource.py index a628272196..7ebdf7408d 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_split_datasource.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_split_datasource.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * define_py_data_sources2( diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_spp_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_spp_layer.py index 58c1675e6b..1f19ea77ad 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_spp_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_spp_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=100, learning_rate=1e-5) diff --git a/python/paddle/trainer_config_helpers/tests/configs/test_sub_nested_seq_select_layer.py b/python/paddle/trainer_config_helpers/tests/configs/test_sub_nested_seq_select_layer.py index 64d1d7b6ee..6d1c3175ba 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/test_sub_nested_seq_select_layer.py +++ b/python/paddle/trainer_config_helpers/tests/configs/test_sub_nested_seq_select_layer.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/env python #coding=utf-8 from paddle.trainer_config_helpers import * diff --git a/python/paddle/trainer_config_helpers/tests/configs/unused_layers.py b/python/paddle/trainer_config_helpers/tests/configs/unused_layers.py index 6294cb04ef..8581ba60ab 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/unused_layers.py +++ b/python/paddle/trainer_config_helpers/tests/configs/unused_layers.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(batch_size=1000, learning_rate=1e-4) diff --git a/python/paddle/trainer_config_helpers/tests/configs/util_layers.py b/python/paddle/trainer_config_helpers/tests/configs/util_layers.py index 89b881b361..a66c9515c7 100644 --- a/python/paddle/trainer_config_helpers/tests/configs/util_layers.py +++ b/python/paddle/trainer_config_helpers/tests/configs/util_layers.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.trainer_config_helpers import * settings(learning_rate=1e-4, batch_size=1000) diff --git a/python/paddle/trainer_config_helpers/tests/test_reset_hook.py b/python/paddle/trainer_config_helpers/tests/test_reset_hook.py index 0423babdb7..81186dedd2 100644 --- a/python/paddle/trainer_config_helpers/tests/test_reset_hook.py +++ b/python/paddle/trainer_config_helpers/tests/test_reset_hook.py @@ -1,4 +1,4 @@ -# Copyright PaddlePaddle contributors. All Rights Reserved +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. + import unittest from paddle.trainer.config_parser import parse_config diff --git a/python/paddle/utils/image_multiproc.py b/python/paddle/utils/image_multiproc.py index 1acf40df58..fdbefef9ff 100644 --- a/python/paddle/utils/image_multiproc.py +++ b/python/paddle/utils/image_multiproc.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import os, sys import numpy as np from PIL import Image diff --git a/python/paddle/utils/plotcurve.py b/python/paddle/utils/plotcurve.py index 27a69b6a5c..27bd8157d3 100644 --- a/python/paddle/utils/plotcurve.py +++ b/python/paddle/utils/plotcurve.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. #!/usr/bin/python # Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved # diff --git a/python/paddle/v2/dataset/__init__.py b/python/paddle/v2/dataset/__init__.py index 90830515c1..c1acbecd9c 100644 --- a/python/paddle/v2/dataset/__init__.py +++ b/python/paddle/v2/dataset/__init__.py @@ -24,11 +24,23 @@ import conll05 import uci_housing import sentiment import wmt14 +import wmt16 import mq2007 import flowers import voc2012 __all__ = [ - 'mnist', 'imikolov', 'imdb', 'cifar', 'movielens', 'conll05', 'sentiment' - 'uci_housing', 'wmt14', 'mq2007', 'flowers', 'voc2012' + 'mnist', + 'imikolov', + 'imdb', + 'cifar', + 'movielens', + 'conll05', + 'sentiment' + 'uci_housing', + 'wmt14', + 'wmt16', + 'mq2007', + 'flowers', + 'voc2012', ] diff --git a/python/paddle/v2/dataset/common.py b/python/paddle/v2/dataset/common.py index fab8a68b0b..9aba35a648 100644 --- a/python/paddle/v2/dataset/common.py +++ b/python/paddle/v2/dataset/common.py @@ -25,8 +25,12 @@ import glob import cPickle as pickle __all__ = [ - 'DATA_HOME', 'download', 'md5file', 'split', 'cluster_files_reader', - 'convert' + 'DATA_HOME', + 'download', + 'md5file', + 'split', + 'cluster_files_reader', + 'convert', ] DATA_HOME = os.path.expanduser('~/.cache/paddle/dataset') @@ -58,12 +62,15 @@ def md5file(fname): return hash_md5.hexdigest() -def download(url, module_name, md5sum): +def download(url, module_name, md5sum, save_name=None): dirname = os.path.join(DATA_HOME, module_name) if not os.path.exists(dirname): os.makedirs(dirname) - filename = os.path.join(dirname, url.split('/')[-1]) + filename = os.path.join(dirname, + url.split('/')[-1] + if save_name is None else save_name) + retry = 0 retry_limit = 3 while not (os.path.exists(filename) and md5file(filename) == md5sum): @@ -196,9 +203,11 @@ def convert(output_path, reader, line_count, name_prefix): Convert data from reader to recordio format files. :param output_path: directory in which output files will be saved. - :param reader: a data reader, from which the convert program will read data instances. + :param reader: a data reader, from which the convert program will read + data instances. :param name_prefix: the name prefix of generated files. - :param max_lines_to_shuffle: the max lines numbers to shuffle before writing. + :param max_lines_to_shuffle: the max lines numbers to shuffle before + writing. """ assert line_count >= 1 diff --git a/python/paddle/v2/dataset/sentiment.py b/python/paddle/v2/dataset/sentiment.py index 7174413018..b0b9757c1a 100644 --- a/python/paddle/v2/dataset/sentiment.py +++ b/python/paddle/v2/dataset/sentiment.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. # /usr/bin/env python # -*- coding:utf-8 -*- diff --git a/python/paddle/v2/dataset/tests/imikolov_test.py b/python/paddle/v2/dataset/tests/imikolov_test.py index 9b3ab72feb..eed1458244 100644 --- a/python/paddle/v2/dataset/tests/imikolov_test.py +++ b/python/paddle/v2/dataset/tests/imikolov_test.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.dataset.imikolov import unittest diff --git a/python/paddle/v2/dataset/tests/test_sentiment.py b/python/paddle/v2/dataset/tests/test_sentiment.py index f107948801..4074052907 100644 --- a/python/paddle/v2/dataset/tests/test_sentiment.py +++ b/python/paddle/v2/dataset/tests/test_sentiment.py @@ -1,16 +1,3 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. -# -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at -# -# http://www.apache.org/licenses/LICENSE-2.0 -# -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. # /usr/bin/env python # -*- coding:utf-8 -*- diff --git a/python/paddle/v2/dataset/tests/wmt16_test.py b/python/paddle/v2/dataset/tests/wmt16_test.py new file mode 100644 index 0000000000..cef6c3216e --- /dev/null +++ b/python/paddle/v2/dataset/tests/wmt16_test.py @@ -0,0 +1,66 @@ +# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import paddle.v2.dataset.wmt16 +import unittest + + +class TestWMT16(unittest.TestCase): + def checkout_one_sample(self, sample): + # train data has 3 field: source language word indices, + # target language word indices, and target next word indices. + self.assertEqual(len(sample), 3) + + # test start mark and end mark in source word indices. + self.assertEqual(sample[0][0], 0) + self.assertEqual(sample[0][-1], 1) + + # test start mask in target word indices + self.assertEqual(sample[1][0], 0) + + # test en mask in target next word indices + self.assertEqual(sample[2][-1], 1) + + def test_train(self): + for idx, sample in enumerate( + paddle.v2.dataset.wmt16.train( + src_dict_size=100000, trg_dict_size=100000)()): + if idx >= 10: break + self.checkout_one_sample(sample) + + def test_test(self): + for idx, sample in enumerate( + paddle.v2.dataset.wmt16.test( + src_dict_size=1000, trg_dict_size=1000)()): + if idx >= 10: break + self.checkout_one_sample(sample) + + def test_val(self): + for idx, sample in enumerate( + paddle.v2.dataset.wmt16.validation( + src_dict_size=1000, trg_dict_size=1000)()): + if idx >= 10: break + self.checkout_one_sample(sample) + + def test_get_dict(self): + dict_size = 1000 + word_dict = paddle.v2.dataset.wmt16.get_dict("en", dict_size, True) + self.assertEqual(len(word_dict), dict_size) + self.assertEqual(word_dict[0], "") + self.assertEqual(word_dict[1], "") + self.assertEqual(word_dict[2], "") + + +if __name__ == "__main__": + unittest.main() diff --git a/python/paddle/v2/dataset/wmt14.py b/python/paddle/v2/dataset/wmt14.py index 95a35d97ce..5104e29051 100644 --- a/python/paddle/v2/dataset/wmt14.py +++ b/python/paddle/v2/dataset/wmt14.py @@ -25,12 +25,20 @@ import gzip import paddle.v2.dataset.common from paddle.v2.parameters import Parameters -__all__ = ['train', 'test', 'build_dict', 'convert'] - -URL_DEV_TEST = 'http://www-lium.univ-lemans.fr/~schwenk/cslm_joint_paper/data/dev+test.tgz' +__all__ = [ + 'train', + 'test', + 'get_dict', + 'convert', +] + +URL_DEV_TEST = ('http://www-lium.univ-lemans.fr/~schwenk/' + 'cslm_joint_paper/data/dev+test.tgz') MD5_DEV_TEST = '7d7897317ddd8ba0ae5c5fa7248d3ff5' -# this is a small set of data for test. The original data is too large and will be add later. -URL_TRAIN = 'http://paddlepaddle.cdn.bcebos.com/demo/wmt_shrinked_data/wmt14.tgz' +# this is a small set of data for test. The original data is too large and +# will be add later. +URL_TRAIN = ('http://paddlepaddle.cdn.bcebos.com/demo/' + 'wmt_shrinked_data/wmt14.tgz') MD5_TRAIN = '0791583d57d5beb693b9414c5b36798c' # BLEU of this trained model is 26.92 URL_MODEL = 'http://paddlepaddle.bj.bcebos.com/demo/wmt_14/wmt14_model.tar.gz' @@ -42,8 +50,8 @@ UNK = "" UNK_IDX = 2 -def __read_to_dict__(tar_file, dict_size): - def __to_dict__(fd, size): +def __read_to_dict(tar_file, dict_size): + def __to_dict(fd, size): out_dict = dict() for line_count, line in enumerate(fd): if line_count < size: @@ -58,19 +66,19 @@ def __read_to_dict__(tar_file, dict_size): if each_item.name.endswith("src.dict") ] assert len(names) == 1 - src_dict = __to_dict__(f.extractfile(names[0]), dict_size) + src_dict = __to_dict(f.extractfile(names[0]), dict_size) names = [ each_item.name for each_item in f if each_item.name.endswith("trg.dict") ] assert len(names) == 1 - trg_dict = __to_dict__(f.extractfile(names[0]), dict_size) + trg_dict = __to_dict(f.extractfile(names[0]), dict_size) return src_dict, trg_dict def reader_creator(tar_file, file_name, dict_size): def reader(): - src_dict, trg_dict = __read_to_dict__(tar_file, dict_size) + src_dict, trg_dict = __read_to_dict(tar_file, dict_size) with tarfile.open(tar_file, mode='r') as f: names = [ each_item.name for each_item in f @@ -152,7 +160,7 @@ def get_dict(dict_size, reverse=True): # if reverse = False, return dict = {'a':'001', 'b':'002', ...} # else reverse = true, return dict = {'001':'a', '002':'b', ...} tar_file = paddle.v2.dataset.common.download(URL_TRAIN, 'wmt14', MD5_TRAIN) - src_dict, trg_dict = __read_to_dict__(tar_file, dict_size) + src_dict, trg_dict = __read_to_dict(tar_file, dict_size) if reverse: src_dict = {v: k for k, v in src_dict.items()} trg_dict = {v: k for k, v in trg_dict.items()} diff --git a/python/paddle/v2/dataset/wmt16.py b/python/paddle/v2/dataset/wmt16.py new file mode 100644 index 0000000000..c8818f715b --- /dev/null +++ b/python/paddle/v2/dataset/wmt16.py @@ -0,0 +1,349 @@ +# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +""" +ACL2016 Multimodal Machine Translation. Please see this website for more +details: http://www.statmt.org/wmt16/multimodal-task.html#task1 + +If you use the dataset created for your task, please cite the following paper: +Multi30K: Multilingual English-German Image Descriptions. + +@article{elliott-EtAl:2016:VL16, + author = {{Elliott}, D. and {Frank}, S. and {Sima"an}, K. and {Specia}, L.}, + title = {Multi30K: Multilingual English-German Image Descriptions}, + booktitle = {Proceedings of the 6th Workshop on Vision and Language}, + year = {2016}, + pages = {70--74}, + year = 2016 +} +""" + +import os +import tarfile +import gzip +from collections import defaultdict + +import paddle.v2.dataset.common + +__all__ = [ + "train", + "test", + "validation", + "convert", + "fetch", + "get_dict", +] + +DATA_URL = ("http://cloud.dlnel.org/filepub/" + "?uuid=46a0808e-ddd8-427c-bacd-0dbc6d045fed") +DATA_MD5 = "0c38be43600334966403524a40dcd81e" + +TOTAL_EN_WORDS = 11250 +TOTAL_DE_WORDS = 19220 + +START_MARK = "" +END_MARK = "" +UNK_MARK = "" + + +def __build_dict(tar_file, dict_size, save_path, lang): + word_dict = defaultdict(int) + with tarfile.open(tar_file, mode="r") as f: + for line in f.extractfile("wmt16/train"): + line_split = line.strip().split("\t") + if len(line_split) != 2: continue + sen = line_split[0] if lang == "en" else line_split[1] + for w in sen.split(): + word_dict[w] += 1 + + with open(save_path, "w") as fout: + fout.write("%s\n%s\n%s\n" % (START_MARK, END_MARK, UNK_MARK)) + for idx, word in enumerate( + sorted( + word_dict.iteritems(), key=lambda x: x[1], reverse=True)): + if idx + 3 == dict_size: break + fout.write("%s\n" % (word[0])) + + +def __load_dict(tar_file, dict_size, lang, reverse=False): + dict_path = os.path.join(paddle.v2.dataset.common.DATA_HOME, + "wmt16/%s_%d.dict" % (lang, dict_size)) + if not os.path.exists(dict_path) or ( + len(open(dict_path, "r").readlines()) != dict_size): + __build_dict(tar_file, dict_size, dict_path, lang) + + word_dict = {} + with open(dict_path, "r") as fdict: + for idx, line in enumerate(fdict): + if reverse: + word_dict[idx] = line.strip() + else: + word_dict[line.strip()] = idx + return word_dict + + +def __get_dict_size(src_dict_size, trg_dict_size, src_lang): + src_dict_size = min(src_dict_size, (TOTAL_EN_WORDS if src_lang == "en" else + TOTAL_DE_WORDS)) + trg_dict_size = min(trg_dict_size, (TOTAL_DE_WORDS if src_lang == "en" else + TOTAL_ENG_WORDS)) + return src_dict_size, trg_dict_size + + +def reader_creator(tar_file, file_name, src_dict_size, trg_dict_size, src_lang): + def reader(): + src_dict = __load_dict(tar_file, src_dict_size, src_lang) + trg_dict = __load_dict(tar_file, trg_dict_size, + ("de" if src_lang == "en" else "en")) + + # the indice for start mark, end mark, and unk are the same in source + # language and target language. Here uses the source language + # dictionary to determine their indices. + start_id = src_dict[START_MARK] + end_id = src_dict[END_MARK] + unk_id = src_dict[UNK_MARK] + + src_col = 0 if src_lang == "en" else 1 + trg_col = 1 - src_col + + with tarfile.open(tar_file, mode="r") as f: + for line in f.extractfile(file_name): + line_split = line.strip().split("\t") + if len(line_split) != 2: + continue + src_words = line_split[src_col].split() + src_ids = [start_id] + [ + src_dict.get(w, unk_id) for w in src_words + ] + [end_id] + + trg_words = line_split[trg_col].split() + trg_ids = [trg_dict.get(w, unk_id) for w in trg_words] + + trg_ids_next = trg_ids + [end_id] + trg_ids = [start_id] + trg_ids + + yield src_ids, trg_ids, trg_ids_next + + return reader + + +def train(src_dict_size, trg_dict_size, src_lang="en"): + """ + WMT16 train set reader. + + This function returns the reader for train data. Each sample the reader + returns is made up of three fields: the source language word index sequence, + target language word index sequence and next word index sequence. + + + NOTE: + The original like for training data is: + http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/training.tar.gz + + paddle.dataset.wmt16 provides a tokenized version of the original dataset by + using moses's tokenization script: + https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/tokenizer.perl + + Args: + src_dict_size(int): Size of the source language dictionary. Three + special tokens will be added into the dictionary: + for start mark, for end mark, and for + unknown word. + trg_dict_size(int): Size of the target language dictionary. Three + special tokens will be added into the dictionary: + for start mark, for end mark, and for + unknown word. + src_lang(string): A string indicating which language is the source + language. Available options are: "en" for English + and "de" for Germany. + + Returns: + callable: The train reader. + """ + + if src_lang not in ["en", "de"]: + raise ValueError("An error language type. Only support: " + "en (for English); de(for Germany).") + src_dict_size, trg_dict_size = __get_dict_size(src_dict_size, trg_dict_size, + src_lang) + + return reader_creator( + tar_file=paddle.v2.dataset.common.download(DATA_URL, "wmt16", DATA_MD5, + "wmt16.tar.gz"), + file_name="wmt16/train", + src_dict_size=src_dict_size, + trg_dict_size=trg_dict_size, + src_lang=src_lang) + + +def test(src_dict_size, trg_dict_size, src_lang="en"): + """ + WMT16 test set reader. + + This function returns the reader for test data. Each sample the reader + returns is made up of three fields: the source language word index sequence, + target language word index sequence and next word index sequence. + + NOTE: + The original like for test data is: + http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/mmt16_task1_test.tar.gz + + paddle.dataset.wmt16 provides a tokenized version of the original dataset by + using moses's tokenization script: + https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/tokenizer.perl + + Args: + src_dict_size(int): Size of the source language dictionary. Three + special tokens will be added into the dictionary: + for start mark, for end mark, and for + unknown word. + trg_dict_size(int): Size of the target language dictionary. Three + special tokens will be added into the dictionary: + for start mark, for end mark, and for + unknown word. + src_lang(string): A string indicating which language is the source + language. Available options are: "en" for English + and "de" for Germany. + + Returns: + callable: The test reader. + """ + + if src_lang not in ["en", "de"]: + raise ValueError("An error language type. " + "Only support: en (for English); de(for Germany).") + + src_dict_size, trg_dict_size = __get_dict_size(src_dict_size, trg_dict_size, + src_lang) + + return reader_creator( + tar_file=paddle.v2.dataset.common.download(DATA_URL, "wmt16", DATA_MD5, + "wmt16.tar.gz"), + file_name="wmt16/test", + src_dict_size=src_dict_size, + trg_dict_size=trg_dict_size, + src_lang=src_lang) + + +def validation(src_dict_size, trg_dict_size, src_lang="en"): + """ + WMT16 validation set reader. + + This function returns the reader for validation data. Each sample the reader + returns is made up of three fields: the source language word index sequence, + target language word index sequence and next word index sequence. + + NOTE: + The original like for validation data is: + http://www.quest.dcs.shef.ac.uk/wmt16_files_mmt/validation.tar.gz + + paddle.dataset.wmt16 provides a tokenized version of the original dataset by + using moses's tokenization script: + https://github.com/moses-smt/mosesdecoder/blob/master/scripts/tokenizer/tokenizer.perl + + Args: + src_dict_size(int): Size of the source language dictionary. Three + special tokens will be added into the dictionary: + for start mark, for end mark, and for + unknown word. + trg_dict_size(int): Size of the target language dictionary. Three + special tokens will be added into the dictionary: + for start mark, for end mark, and for + unknown word. + src_lang(string): A string indicating which language is the source + language. Available options are: "en" for English + and "de" for Germany. + + Returns: + callable: The validation reader. + """ + if src_lang not in ["en", "de"]: + raise ValueError("An error language type. " + "Only support: en (for English); de(for Germany).") + src_dict_size, trg_dict_size = __get_dict_size(src_dict_size, trg_dict_size, + src_lang) + + return reader_creator( + tar_file=paddle.v2.dataset.common.download(DATA_URL, "wmt16", DATA_MD5, + "wmt16.tar.gz"), + file_name="wmt16/val", + src_dict_size=src_dict_size, + trg_dict_size=trg_dict_size, + src_lang=src_lang) + + +def get_dict(lang, dict_size, reverse=False): + """ + return the word dictionary for the specified language. + + Args: + lang(string): A string indicating which language is the source + language. Available options are: "en" for English + and "de" for Germany. + dict_size(int): Size of the specified language dictionary. + reverse(bool): If reverse is set to False, the returned python + dictionary will use word as key and use index as value. + If reverse is set to True, the returned python + dictionary will use index as key and word as value. + + Returns: + dict: The word dictionary for the specific language. + """ + + if lang == "en": dict_size = min(dict_size, TOTAL_EN_WORDS) + else: dict_size = min(dict_size, TOTAL_DE_WORDS) + + dict_path = os.path.join(paddle.v2.dataset.common.DATA_HOME, + "wmt16/%s_%d.dict" % (lang, dict_size)) + assert os.path.exists(dict_path), "Word dictionary does not exist. " + "Please invoke paddle.dataset.wmt16.train/test/validation first " + "to build the dictionary." + tar_file = os.path.join(paddle.v2.dataset.common.DATA_HOME, "wmt16.tar.gz") + return __load_dict(tar_file, dict_size, lang, reverse) + + +def fetch(): + """download the entire dataset. + """ + paddle.v4.dataset.common.download(DATA_URL, "wmt16", DATA_MD5, + "wmt16.tar.gz") + + +def convert(path, src_dict_size, trg_dict_size, src_lang): + """Converts dataset to recordio format. + """ + + paddle.v2.dataset.common.convert( + path, + train( + src_dict_size=src_dict_size, + trg_dict_size=trg_dict_size, + src_lang=src_lang), + 1000, + "wmt16_train") + paddle.v2.dataset.common.convert( + path, + test( + src_dict_size=src_dict_size, + trg_dict_size=trg_dict_size, + src_lang=src_lang), + 1000, + "wmt16_test") + paddle.v2.dataset.common.convert( + path, + validation( + src_dict_size=src_dict_size, + trg_dict_size=trg_dict_size, + src_lang=src_lang), + 1000, + "wmt16_validation") diff --git a/python/paddle/v2/event.py b/python/paddle/v2/event.py index f322bffe13..01067ef426 100644 --- a/python/paddle/v2/event.py +++ b/python/paddle/v2/event.py @@ -1,16 +1,16 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. """ Testing and training events. diff --git a/python/paddle/v2/fluid/__init__.py b/python/paddle/v2/fluid/__init__.py index 8c29ee741c..1f041c7459 100644 --- a/python/paddle/v2/fluid/__init__.py +++ b/python/paddle/v2/fluid/__init__.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function # import all class inside framework into fluid module import framework @@ -36,6 +37,7 @@ import clip from memory_optimization_transpiler import memory_optimize Tensor = LoDTensor + __all__ = framework.__all__ + executor.__all__ + [ 'io', 'initializer', @@ -84,7 +86,9 @@ def __bootstrap__(): os.environ['OMP_NUM_THREADS'] = str(num_threads) - read_env_flags = ['use_pinned_memory', 'check_nan_inf'] + read_env_flags = [ + 'use_pinned_memory', 'check_nan_inf', 'do_memory_benchmark' + ] if core.is_compile_gpu(): read_env_flags += ['fraction_of_gpu_memory_to_use', 'op_sync'] core.init_gflags([sys.argv[0]] + @@ -93,4 +97,5 @@ def __bootstrap__(): core.init_devices() +layers.monkey_patch_variable() __bootstrap__() diff --git a/python/paddle/v2/fluid/backward.py b/python/paddle/v2/fluid/backward.py index 27cf637c48..ae81d68baf 100644 --- a/python/paddle/v2/fluid/backward.py +++ b/python/paddle/v2/fluid/backward.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.v2.fluid import framework as framework from . import core import collections diff --git a/python/paddle/v2/fluid/clip.py b/python/paddle/v2/fluid/clip.py index e4d9ed599e..3028029e60 100644 --- a/python/paddle/v2/fluid/clip.py +++ b/python/paddle/v2/fluid/clip.py @@ -1,23 +1,29 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import copy + import functools import layers +import framework from . import core __all__ = [ - 'GradientClipByValue', 'ErrorClipByValue', + 'GradientClipByValue', + 'GradientClipByNorm', + 'GradientClipByGlobalNorm', 'append_gradient_clip_ops', 'error_clip_callback', ] @@ -65,7 +71,7 @@ def error_clip_callback(block, context): class BaseGradientClipAttr(object): - def process_context(self, context, p_g): + def process_context(self, context, param, grad): raise NotImplementedError() def create_operators(self, param, grad): @@ -73,7 +79,7 @@ class BaseGradientClipAttr(object): class NullGradientClipAttr(BaseGradientClipAttr): - def process_context(self, context, p_g): + def process_context(self, context, param, grad): pass def create_operators(self, param, grad): @@ -90,7 +96,7 @@ class GradientClipByValue(BaseGradientClipAttr): self.max = max self.min = min - def process_context(self, context, p_g): + def process_context(self, context, param, grad): pass def create_operators(self, param, grad): @@ -98,19 +104,93 @@ class GradientClipByValue(BaseGradientClipAttr): return param, new_grad +class GradientClipByNorm(BaseGradientClipAttr): + def __init__(self, clip_norm): + self.clip_norm = clip_norm + + def process_context(self, context, param, grad): + pass + + def create_operators(self, param, grad): + new_grad = layers.clip_by_norm(x=grad, max_norm=self.clip_norm) + return param, new_grad + + +class GradientClipByGlobalNorm(BaseGradientClipAttr): + def __init__(self, clip_norm, group_name="default_group"): + if not isinstance(group_name, basestring): + raise TypeError("'group_name' must be a basestring.") + + self.clip_norm = clip_norm + self.group_name = group_name + + def process_context(self, context, param, grad): + if self.group_name not in context: + context[self.group_name] = [] + context[self.group_name + "_clip_value"] = self.clip_norm + context[self.group_name + "_clip"] = layers.fill_constant( + shape=[1], dtype="float32", value=self.clip_norm) + else: + if not self.clip_norm == context[self.group_name + "_clip_value"]: + raise ValueError( + "All parameters' 'clip_norm' of a same group should be the same" + ) + + local_norm_var = layers.reduce_sum(input=layers.pow(x=grad, factor=2.0)) + context[self.group_name].append(local_norm_var) + + self.context = context + + def create_operators(self, param, grad): + group_scale_name = self.group_name + "_scale" + if group_scale_name not in self.context: + group_norm_var = layers.sums(input=self.context[self.group_name]) + layers.sqrt(x=group_norm_var, out=group_norm_var) + clip_var = self.context[self.group_name + "_clip"] + group_scale_var = layers.elementwise_div( + x=clip_var, + y=layers.elementwise_max( + x=clip_var, y=group_norm_var)) + assert group_scale_var.shape == (1L, ) + self.context[group_scale_name] = group_scale_var + + new_grad = layers.elementwise_mul( + x=grad, y=self.context[group_scale_name]) + return param, new_grad + + +def set_gradient_clip(clip, param_list=None, program=None): + if not isinstance(clip, BaseGradientClipAttr): + raise TypeError( + "'clip' should be an instance of BaseGradientClipAttr's derived class" + ) + if program is None: + program = framework.default_main_program() + if param_list is None: + param_list = program.block(0).all_parameters() + if all(isinstance(elem, basestring) for elem in param_list): + param_list = [program.block(0).var(elem) for elem in param_list] + if not all(isinstance(elem, framework.Parameter) for elem in param_list): + raise TypeError( + "'param_list' should be a list of Parameter or basestring(parameter's name)." + ) + + for param in param_list: + param.gradient_clip_attr = copy.deepcopy(clip) + + def append_gradient_clip_ops(param_grad): context = dict() create_op_callbacks = [] for p, g in param_grad: - clip_attr = getattr(p, 'clip_attr', NullGradientClipAttr()) + clip_attr = getattr(p, 'gradient_clip_attr', NullGradientClipAttr()) if clip_attr is None: clip_attr = NullGradientClipAttr() if not isinstance(clip_attr, BaseGradientClipAttr): raise TypeError( - "clip attribute should be an instance of BaseGradientClippingAttr" - ) + "clip attribute should be an instance of BaseGradientClipAttr") - clip_attr.process_context(context=context, p_g=param_grad) + clip_attr.process_context(context=context, param=p, grad=g) create_op_callbacks.append( functools.partial( clip_attr.create_operators, param=p, grad=g)) diff --git a/python/paddle/v2/fluid/data_feeder.py b/python/paddle/v2/fluid/data_feeder.py index bfdd00e3ef..a3b22a8633 100644 --- a/python/paddle/v2/fluid/data_feeder.py +++ b/python/paddle/v2/fluid/data_feeder.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function import core import numpy diff --git a/python/paddle/v2/fluid/default_scope_funcs.py b/python/paddle/v2/fluid/default_scope_funcs.py index 2218bb140a..a27280208b 100644 --- a/python/paddle/v2/fluid/default_scope_funcs.py +++ b/python/paddle/v2/fluid/default_scope_funcs.py @@ -1,16 +1,16 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. """ Default scope function. diff --git a/python/paddle/v2/fluid/distribute_transpiler.py b/python/paddle/v2/fluid/distribute_transpiler.py index 06a7b6fb02..abcad899bf 100644 --- a/python/paddle/v2/fluid/distribute_transpiler.py +++ b/python/paddle/v2/fluid/distribute_transpiler.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function import framework from framework import Program, default_main_program, Parameter, Variable @@ -18,6 +19,7 @@ import optimizer from layer_helper import LayerHelper from distributed_spliter import * import math +from . import core class VarBlock: @@ -36,14 +38,14 @@ def split_dense_variable(var_list, min_block_size=1024, max_block_size=1048576): """ - We may need to split dense tensor to one or several blocks and put + We may need to split dense tensor to one or more blocks and put them equally onto parameter server. One block is a sub-tensor aligned by dim[0] of the tensor. - + We need to have a minimal block size so that the calculations in the parameter server side can gain better performance. By default - mininum block size is 1024. The max block size is used to prevent - too large block that may causing send error. + minimum block size is 1024. The max block size is used to prevent + very large blocks that may cause send error. """ blocks = [] for var in var_list: @@ -62,7 +64,7 @@ def split_dense_variable(var_list, remains = block_size % dim1 if remains != 0: block_size += dim1 - remains - # update split_count after align + # update split_count after aligning split_count = int(math.ceil(var_numel / float(block_size))) for block_id in xrange(split_count): curr_block_size = min(block_size, var_numel - ( @@ -81,18 +83,18 @@ class DistributeTranspiler: trainers=1, split_method=round_robin): """ - Transpile the program to a distributed data-parallelism programs. - The main_program will be transform to use a remote parameter server + Transpile the program to distributed data-parallelism programs. + The main_program will be transformed to use a remote parameter server to do parameter optimization. And the optimization graph will be put - in to a parameter server program. + into a parameter server program. - Use different methods to split trainable varialbles to different + Use different methods to split trainable variables to different parameter servers. :param optimize_ops: op list of optimization, should be the return value of Optimizer.minimize :type optimize_ops: list - :param program: program to optimize, default default_main_program + :param program: program to optimize, default is default_main_program :param pservers: parameter server endpoints like "m1:6174,m2:6174" :type pservers: string :return: return a list of programs @@ -104,11 +106,11 @@ class DistributeTranspiler: self.trainers = trainers self.optimize_ops = optimize_ops # steps to transpile: - # 1. split variable to multiple blocks, align by product(dim[1:]) (width). + # 1. split variable to multiple blocks, aligned by product(dim[1:]) (width). # 2. modify trainer program add split_op to each Grad. # 3. append send_op to trainer. # 4. append concat_op to trainer to update local weights. - # 5. create new program as parameter server. + # 5. create new program for parameter server. # 6. create parameter server program by split_method generated endpoint->VarBlock pserver_endpoints = pservers.split(",") @@ -134,10 +136,10 @@ class DistributeTranspiler: for b in param_blocks: varname, block_id, _ = b.split(":") send_outputs.append(param_var_mapping[varname][int(block_id)]) - # let send_op know which endpoint to send which var, eplist is of the same - # order of send_inputs. + # let send_op know which endpoint to send which var to, eplist has the same + # order as send_inputs. eplist = split_method(send_inputs, pserver_endpoints) - # create mapping of endpoint -> splited var to create pserver side program + # create mapping of endpoint -> split var to create pserver side program self.param_grad_ep_mapping = dict() for i, ep in enumerate(eplist): param = send_outputs[i] @@ -147,6 +149,7 @@ class DistributeTranspiler: self.param_grad_ep_mapping[ep]["params"].append(param) self.param_grad_ep_mapping[ep]["grads"].append(grad) + # create send_op send_op = program.global_block().append_op( type="send", inputs={"X": send_inputs}, @@ -165,6 +168,7 @@ class DistributeTranspiler: attrs={"axis": 0}) def _create_vars_from_blocklist(self, program, block_list): + # Create respective variables using the block_list block_map = dict() var_mapping = dict() for block_str in block_list: @@ -205,26 +209,40 @@ class DistributeTranspiler: dtype=var.dtype, type=var.type, lod_level=var.lod_level, - # HACK: let all param in pserver persistable so child + # HACK: let all param in pserver be persistable so the child # program in recv can get them persistable=True) def _append_split_op(self, program, gradblocks): + # Split variables that need to be split and append respective ops var_mapping = self._create_vars_from_blocklist(program, gradblocks) for varname, splited_vars in var_mapping.iteritems(): # variable that don't need to split have empty splited_vars if len(splited_vars) <= 1: continue orig_var = program.global_block().vars[varname] - sections = [] - for v in splited_vars: - sections.append(v.shape[0]) - program.global_block().append_op( - type="split", - inputs={"X": orig_var}, - outputs={"Out": splited_vars}, - attrs={"sections": sections} # assume split evenly - ) + if orig_var == core.VarDesc.VarType.SELECTED_ROWS: + height_sections = [] + for v in splited_vars: + height_sections.append(v.shape[0]) + program.global_block().append_op( + type="split_selected_rows", + inputs={"X": orig_var}, + outputs={"Out": splited_vars}, + attrs={"height_sections": height_sections}) + elif orig_var == core.VarDesc.VarType.LOD_TENSOR: + sections = [] + for v in splited_vars: + sections.append(v.shape[0]) + program.global_block().append_op( + type="split", + inputs={"X": orig_var}, + outputs={"Out": splited_vars}, + attrs={"sections": sections} # assume split evenly + ) + else: + AssertionError("Variable type should be in set " + "[LOD_TENSOR, SELECTED_ROWS]") return var_mapping def get_trainer_program(self): @@ -233,6 +251,7 @@ class DistributeTranspiler: return self.program def _create_var_for_trainers(self, block, var, trainers): + # For each trainer, create the necessary variables var_list = [] for i in xrange(trainers): var_each = block.create_var( @@ -247,7 +266,7 @@ class DistributeTranspiler: param_shape): """ Returns the shape for optimizer inputs that need to be reshaped when - Param and Grad is splited to multiple servers. + Param and Grad is split to multiple servers. """ # HACK(typhoonzero): Should use functions of corresponding optimizer in # optimizer.py to get the shape, do not bind this in the transpiler. @@ -285,7 +304,7 @@ class DistributeTranspiler: else: for n in param_names: if n.startswith(op.inputs["Param"].name+".block") and \ - n != op.inputs["Param"].name: + n != op.inputs["Param"].name: return True return False else: @@ -381,7 +400,7 @@ class DistributeTranspiler: dtype=var.dtype, shape=new_shape) - # change outputs ParamOut variable + # change output's ParamOut variable opt_op.outputs["ParamOut"] = new_inputs["Param"] program.global_block().append_op( type=opt_op.type, @@ -390,6 +409,7 @@ class DistributeTranspiler: attrs=opt_op.attrs) def _append_pserver_non_opt_ops(self, program, pserver_program, opt_op): + # Append the ops for parameters that do not need to be optimized/updated for _, var in opt_op.inputs.iteritems(): program.global_block().create_var( name=var.name, @@ -407,9 +427,9 @@ class DistributeTranspiler: outputs=opt_op.outputs, attrs=opt_op.attrs) - def get_pserver_program(self, endpoint, optimize_ops): + def get_pserver_program(self, endpoint): """ - get pserver side program by endpoint + Get pserver side program using the endpoint NOTE: assume blocks of the same variable is not distributed on the same pserver, only change param/grad varnames for @@ -420,11 +440,25 @@ class DistributeTranspiler: pserver_program = Program() for v in self.param_grad_ep_mapping[endpoint]["params"]: self._clone_var(pserver_program.global_block(), v) + for v in self.param_grad_ep_mapping[endpoint]["grads"]: + # create vars for each trainer in global scope, so + # we don't need to create them when grad arrives. + pserver_program.global_block().create_var( + name=v.name, persistable=True, dtype=v.dtype, shape=v.shape) + for trainer_id in xrange(self.trainers): + print("create variable for program: %s.trainer_%d" % + (v.name, trainer_id)) + pserver_program.global_block().create_var( + name="%s.trainer_%d" % (v.name, trainer_id), + persistable=True, + dtype=v.dtype, + shape=v.shape) # step6 optimize_sub_program = Program() - for idx, opt_op in enumerate(optimize_ops): - is_op_on_pserver = self._is_op_on_pserver(endpoint, optimize_ops, - idx) + # Iterate through the ops and append ops as needed + for idx, opt_op in enumerate(self.optimize_ops): + is_op_on_pserver = self._is_op_on_pserver(endpoint, + self.optimize_ops, idx) if not is_op_on_pserver: continue if opt_op.inputs.has_key("Grad"): @@ -433,13 +467,14 @@ class DistributeTranspiler: else: self._append_pserver_non_opt_ops(optimize_sub_program, pserver_program, opt_op) + # Append the recv op pserver_program.global_block().append_op( type="recv", inputs={"RX": self.param_grad_ep_mapping[endpoint]["grads"] }, # grads to recv outputs={}, attrs={ - "OptimizeProgram": optimize_sub_program.desc, + "OptimizeBlock": optimize_sub_program.global_block(), "endpoint": endpoint, "ParamList": [ p.name @@ -449,7 +484,7 @@ class DistributeTranspiler: p.name for p in self.param_grad_ep_mapping[endpoint]["grads"] ], - "Trainers": self.trainers + "Fanin": self.trainers }) pserver_program.sync_with_cpp() return pserver_program @@ -458,7 +493,7 @@ class DistributeTranspiler: """ Get startup program for current parameter server. Modify operator input variables if there are variables that - was splited to several blocks. + were split to several blocks. """ s_prog = Program() orig_s_prog = framework.default_startup_program() diff --git a/python/paddle/v2/fluid/distribute_transpiler_simple.py b/python/paddle/v2/fluid/distribute_transpiler_simple.py index bd88f02bde..73d9bed1ae 100644 --- a/python/paddle/v2/fluid/distribute_transpiler_simple.py +++ b/python/paddle/v2/fluid/distribute_transpiler_simple.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import framework from framework import Program, default_main_program, Parameter, Variable import optimizer @@ -243,7 +244,7 @@ class SimpleDistributeTranspiler: self.param_grad_map[endpoint]["grads"]}, # grads to recv outputs={}, attrs={ - "OptimizeProgram": optimize_sub_program.desc, + "OptimizeBlock": optimize_sub_program.global_block(), "endpoint": endpoint, "ParamList": [p.name for p in self.param_grad_map[endpoint]["params"]], diff --git a/python/paddle/v2/fluid/distributed_spliter.py b/python/paddle/v2/fluid/distributed_spliter.py index e647f760e9..8cf0b06786 100644 --- a/python/paddle/v2/fluid/distributed_spliter.py +++ b/python/paddle/v2/fluid/distributed_spliter.py @@ -1,16 +1,18 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + + def hash_name(varlist, pserver_endpoints): """ hash variable names to several endpoints. diff --git a/python/paddle/v2/fluid/evaluator.py b/python/paddle/v2/fluid/evaluator.py index adf174a07d..2686a5bdfc 100644 --- a/python/paddle/v2/fluid/evaluator.py +++ b/python/paddle/v2/fluid/evaluator.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy as np import layers @@ -204,3 +205,63 @@ class ChunkEvaluator(Evaluator): [precision], dtype='float32'), np.array( [recall], dtype='float32'), np.array( [f1_score], dtype='float32') + + +class EditDistance(Evaluator): + """ + Accumulate edit distance sum and sequence number from mini-batches and + compute the average edit_distance of all batches. + + Args: + input: the sequences predicted by network. + label: the target sequences which must has same sequence count + with input. + ignored_tokens(list of int): Tokens that should be removed before + calculating edit distance. + + Example: + + exe = fluid.executor(place) + distance_evaluator = fluid.Evaluator.EditDistance(input, label) + for epoch in PASS_NUM: + distance_evaluator.reset(exe) + for data in batches: + loss, sum_distance = exe.run(fetch_list=[cost] + distance_evaluator.metrics) + avg_distance = distance_evaluator.eval(exe) + pass_distance = distance_evaluator.eval(exe) + + In the above example: + 'sum_distance' is the sum of the batch's edit distance. + 'avg_distance' is the average of edit distance from the firt batch to the current batch. + 'pass_distance' is the average of edit distance from all the pass. + + """ + + def __init__(self, input, label, ignored_tokens=None, **kwargs): + super(EditDistance, self).__init__("edit_distance", **kwargs) + main_program = self.helper.main_program + if main_program.current_block().idx != 0: + raise ValueError("You can only invoke Evaluator in root block") + + self.total_error = self.create_state( + dtype='float32', shape=[1], suffix='total_error') + self.seq_num = self.create_state( + dtype='int64', shape=[1], suffix='seq_num') + error, seq_num = layers.edit_distance( + input=input, label=label, ignored_tokens=ignored_tokens) + #error = layers.cast(x=error, dtype='float32') + sum_error = layers.reduce_sum(error) + layers.sums(input=[self.total_error, sum_error], out=self.total_error) + layers.sums(input=[self.seq_num, seq_num], out=self.seq_num) + self.metrics.append(sum_error) + + def eval(self, executor, eval_program=None): + if eval_program is None: + eval_program = Program() + block = eval_program.current_block() + with program_guard(main_program=eval_program): + total_error = _clone_var_(block, self.total_error) + seq_num = _clone_var_(block, self.seq_num) + seq_num = layers.cast(x=seq_num, dtype='float32') + out = layers.elementwise_div(x=total_error, y=seq_num) + return np.array(executor.run(eval_program, fetch_list=[out])[0]) diff --git a/python/paddle/v2/fluid/executor.py b/python/paddle/v2/fluid/executor.py index a99c5157b2..9d5ed9571a 100644 --- a/python/paddle/v2/fluid/executor.py +++ b/python/paddle/v2/fluid/executor.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy as np import contextlib from framework import Program, default_main_program diff --git a/python/paddle/v2/fluid/framework.py b/python/paddle/v2/fluid/framework.py index 8042febfed..4d8343e7de 100644 --- a/python/paddle/v2/fluid/framework.py +++ b/python/paddle/v2/fluid/framework.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import collections import contextlib @@ -116,8 +117,8 @@ def _debug_string_(proto, throw_on_error=True): """ error_fields = list() if not proto.IsInitialized(error_fields) and throw_on_error: - raise ValueError("{0} are not initialized\nThe message is {1}".format( - error_fields, proto)) + raise ValueError("{0} are not initialized.\nThe message is {1}:\n". + format(error_fields, proto)) return proto.__str__() @@ -374,12 +375,13 @@ class Operator(object): >>> outputs={"Out": [var1]}) Args: - block(Block): The block has the current operator - desc(core.OpDesc): The protobuf description + block(Block): The block has the current operator. + desc(core.OpDesc): The protobuf description. type(str): The type of operator. inputs(dict): The input dictionary. Key is the input parameter name. Value is a list of variables. - outputs(dict): The output dictionary. Has same format with inputs + outputs(dict): The output dictionary which has the same format with + inputs. attrs(dict): The attributes dictionary. Key is attribute name. Value is the attribute value. The attribute type should be as same as the type registered in C++ @@ -436,10 +438,11 @@ class Operator(object): for m in proto.outputs: need.add(m.name) if not given == need: - raise ValueError( - "Incorrect setting for output(s) of operator \"%s\". Need: [%s] Given: [%s]" - % (type, ", ".join(str(e) for e in need), ", ".join( - str(e) for e in given))) + raise ValueError(("Incorrect setting for output(s) of " + "operator \"%s\". Need: [%s] Given: [%s]") % + (type, ", ".join(str(e) + for e in need), ", ".join( + str(e) for e in given))) for out_proto in proto.outputs: out_args = outputs[out_proto.name] @@ -777,7 +780,7 @@ class Block(object): trainable=p.trainable, optimize_attr=p.optimize_attr, regularizer=p.regularizer, - clip_attr=p.clip_attr, + gradient_clip_attr=p.gradient_clip_attr, error_clip=p.error_clip, name=v.name) self.vars[new_p.name] = new_p @@ -818,9 +821,8 @@ class Program(object): if isinstance(t, Variable): t = t.op else: - raise ValueError( - "All targets of prune() can only be Variable or Operator." - ) + raise ValueError(("All targets of prune() can only be " + "Variable or Operator.")) targets_idx.append([t.block.idx, t.idx]) res = Program() @@ -946,7 +948,7 @@ class Parameter(Variable): self.regularizer = kwargs.get('regularizer', None) - self.clip_attr = kwargs.get('clip_attr', None) + self.gradient_clip_attr = kwargs.get('gradient_clip_attr', None) # program is a global instance. diff --git a/python/paddle/v2/fluid/initializer.py b/python/paddle/v2/fluid/initializer.py index 2e8cfa3177..b9c0d12ad6 100644 --- a/python/paddle/v2/fluid/initializer.py +++ b/python/paddle/v2/fluid/initializer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import framework import numpy as np diff --git a/python/paddle/v2/fluid/io.py b/python/paddle/v2/fluid/io.py index d440fab9a5..e63643c29e 100644 --- a/python/paddle/v2/fluid/io.py +++ b/python/paddle/v2/fluid/io.py @@ -1,21 +1,23 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import os import cPickle as pickle from paddle.v2.fluid.evaluator import Evaluator from paddle.v2.fluid.framework import Program, Parameter, default_main_program, Variable +from . import core __all__ = [ 'save_vars', @@ -194,6 +196,33 @@ def get_inference_program(target_vars, main_program=None): return inference_program +def prepend_feed_ops(inference_program, feeded_var_names): + global_block = inference_program.global_block() + feed_var = global_block.create_var( + name='feed', type=core.VarDesc.VarType.FEED_MINIBATCH, persistable=True) + + for i, name in enumerate(feeded_var_names): + out = global_block.var(name) + global_block.prepend_op( + type='feed', + inputs={'X': [feed_var]}, + outputs={'Out': [out]}, + attrs={'col': i}) + + +def append_fetch_ops(inference_program, fetch_var_names): + global_block = inference_program.global_block() + fetch_var = global_block.create_var( + name='fetch', type=core.VarDesc.VarType.FETCH_LIST, persistable=True) + + for i, name in enumerate(fetch_var_names): + global_block.append_op( + type='fetch', + inputs={'X': [name]}, + outputs={'Out': [fetch_var]}, + attrs={'col': i}) + + def save_inference_model(dirname, feeded_var_names, target_vars, @@ -244,6 +273,9 @@ def save_inference_model(dirname, "fetch_var_names": fetch_var_names }, f, -1) + prepend_feed_ops(inference_program, feeded_var_names) + append_fetch_ops(inference_program, fetch_var_names) + # Save only programDesc of inference_program in binary format # in another file: __model__.dat with open(model_file_name + ".dat", "wb") as fp: diff --git a/python/paddle/v2/fluid/layer_helper.py b/python/paddle/v2/fluid/layer_helper.py index 191d2349b5..8c481444e9 100644 --- a/python/paddle/v2/fluid/layer_helper.py +++ b/python/paddle/v2/fluid/layer_helper.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import copy import itertools @@ -99,7 +100,8 @@ class LayerHelper(object): if dtype is None: dtype = each.dtype elif dtype != each.dtype: - raise ValueError("Data Type mismatch") + raise ValueError("Data Type mismatch: %d to %d" % + (dtype, each.dtype)) return dtype def create_parameter(self, diff --git a/python/paddle/v2/fluid/layers/__init__.py b/python/paddle/v2/fluid/layers/__init__.py index c190af3329..a83dd3db74 100644 --- a/python/paddle/v2/fluid/layers/__init__.py +++ b/python/paddle/v2/fluid/layers/__init__.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import ops from ops import * import nn @@ -23,6 +24,8 @@ import control_flow from control_flow import * import device from device import * +import math_op_patch +from math_op_patch import * __all__ = [] __all__ += nn.__all__ @@ -31,3 +34,4 @@ __all__ += tensor.__all__ __all__ += control_flow.__all__ __all__ += ops.__all__ __all__ += device.__all__ +__all__ += math_op_patch.__all__ diff --git a/python/paddle/v2/fluid/layers/control_flow.py b/python/paddle/v2/fluid/layers/control_flow.py index e72b22c83f..0fcbfe0e2f 100644 --- a/python/paddle/v2/fluid/layers/control_flow.py +++ b/python/paddle/v2/fluid/layers/control_flow.py @@ -1,31 +1,51 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. -from ..layer_helper import LayerHelper, unique_name -from ..framework import Program, Variable, Operator -from .. import core -from tensor import assign, fill_constant +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import contextlib -from ..registry import autodoc + +from layer_function_generator import autodoc +from tensor import assign, fill_constant +from .. import core +from ..framework import Program, Variable, Operator +from ..layer_helper import LayerHelper, unique_name __all__ = [ - 'split_lod_tensor', 'merge_lod_tensor', 'BlockGuard', - 'BlockGuardWithCompletion', 'StaticRNNMemoryLink', 'WhileGuard', 'While', - 'lod_rank_table', 'max_sequence_len', 'topk', 'lod_tensor_to_array', - 'array_to_lod_tensor', 'increment', 'array_write', 'create_array', - 'less_than', 'array_read', 'shrink_memory', 'array_length', 'IfElse', - 'DynamicRNN', 'ConditionalBlock', 'StaticRNN', 'reorder_lod_tensor_by_rank', - 'ParallelDo', 'Print' + 'split_lod_tensor', + 'merge_lod_tensor', + 'BlockGuard', + 'BlockGuardWithCompletion', + 'StaticRNNMemoryLink', + 'WhileGuard', + 'While', + 'lod_rank_table', + 'max_sequence_len', + 'topk', + 'lod_tensor_to_array', + 'array_to_lod_tensor', + 'increment', + 'array_write', + 'create_array', + 'less_than', + 'array_read', + 'shrink_memory', + 'array_length', + 'IfElse', + 'DynamicRNN', + 'ConditionalBlock', + 'StaticRNN', + 'reorder_lod_tensor_by_rank', + 'ParallelDo', + 'Print', ] @@ -269,6 +289,7 @@ class ParallelDo(object): for in_var_name in op.input(iname): if in_var_name not in local_inputs: params.append(in_var_name) + params = list(set(params)) return [parent_block.var(name) for name in params] @@ -749,7 +770,7 @@ def topk(input, k): array = fluid.layers.topk(x, k) """ helper = LayerHelper('topk', **locals()) - topk_out = helper.create_tmp_variable(dtype=input.data_type) + topk_out = helper.create_tmp_variable(dtype=input.dtype) topk_indices = helper.create_tmp_variable(dtype='int64') helper.append_op( type='top_k', @@ -1457,7 +1478,7 @@ class DynamicRNN(object): method)) -@autodoc +@autodoc() def reorder_lod_tensor_by_rank(x, rank_table): helper = LayerHelper('reorder_lod_tensor_by_rank', **locals()) helper.is_instance('x', Variable) diff --git a/python/paddle/v2/fluid/layers/device.py b/python/paddle/v2/fluid/layers/device.py index ef74b2b2f0..107511b5f4 100644 --- a/python/paddle/v2/fluid/layers/device.py +++ b/python/paddle/v2/fluid/layers/device.py @@ -1,28 +1,28 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. """ All util layers. """ -from ..layer_helper import LayerHelper +from layer_function_generator import autodoc from ..framework import unique_name -from ..registry import autodoc +from ..layer_helper import LayerHelper __all__ = ['get_places'] -@autodoc +@autodoc() def get_places(device_count=None, device_type=None): helper = LayerHelper('get_places', **locals()) out_places = helper.create_variable(name=unique_name(helper.name + ".out")) diff --git a/python/paddle/v2/fluid/layers/io.py b/python/paddle/v2/fluid/layers/io.py index 6177f0b4d7..9af00e7de5 100644 --- a/python/paddle/v2/fluid/layers/io.py +++ b/python/paddle/v2/fluid/layers/io.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from .. import core from ..layer_helper import LayerHelper @@ -28,9 +29,9 @@ def data(name, **Data Layer** This function takes in the input and based on whether data has - to be returned back as a minibatch, it creates the global variable using + to be returned back as a minibatch, it creates the global variable by using the helper functions. The global variables can be accessed by all the - following operations and layers in the graph. + following operators in the graph. All the input variables of this function are passed in as local variables to the LayerHelper constructor. diff --git a/python/paddle/v2/fluid/registry.py b/python/paddle/v2/fluid/layers/layer_function_generator.py similarity index 81% rename from python/paddle/v2/fluid/registry.py rename to python/paddle/v2/fluid/layers/layer_function_generator.py index 6c0c3a3518..b0e4d1635f 100644 --- a/python/paddle/v2/fluid/registry.py +++ b/python/paddle/v2/fluid/layers/layer_function_generator.py @@ -1,29 +1,31 @@ # Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import re import cStringIO -import warnings import functools -import inspect +import warnings + +from .. import proto -import proto.framework_pb2 as framework_pb2 -from framework import OpProtoHolder, Variable, Program, Operator -from paddle.v2.fluid.layer_helper import LayerHelper, unique_name +framework_pb2 = proto.framework_pb2 + +from ..framework import OpProtoHolder, Variable +from ..layer_helper import LayerHelper __all__ = [ 'deprecated', - 'register_layer', + 'generate_layer_fn', 'autodoc', ] @@ -96,7 +98,7 @@ def _generate_doc_string_(op_proto): return buf.getvalue() -def register_layer(op_type): +def generate_layer_fn(op_type): """Register the Python layer for an Operator. Args: @@ -167,13 +169,18 @@ def register_layer(op_type): inputs[ipt.name] = val outputs = dict() - out = helper.create_tmp_variable(dtype=dtype) - outputs[o_name] = [out] + out = kwargs.pop(_convert_(o_name), []) + if out: + out_var = out[0] if (isinstance(out, list) or + isinstance(out, tuple)) else out + else: + out_var = helper.create_tmp_variable(dtype=dtype) + outputs[o_name] = [out_var] for name in intermediate_output_names: outputs[name] = [helper.create_tmp_variable(dtype=dtype)] helper.append_op( type=op_type, inputs=inputs, outputs=outputs, attrs=kwargs) - return helper.append_activation(out) + return helper.append_activation(out_var) func.__name__ = op_type func.__doc__ = _generate_doc_string_(op_proto) @@ -202,7 +209,10 @@ def deprecated(func_or_class): return func_wrapper -def autodoc(func): - func.__doc__ = _generate_doc_string_(OpProtoHolder.instance().get_op_proto( - func.__name__)) - return func +def autodoc(comment=""): + def __impl__(func): + func.__doc__ = _generate_doc_string_(OpProtoHolder.instance( + ).get_op_proto(func.__name__)) + comment + return func + + return __impl__ diff --git a/python/paddle/v2/fluid/layers/math_op_patch.py b/python/paddle/v2/fluid/layers/math_op_patch.py new file mode 100644 index 0000000000..f359e70126 --- /dev/null +++ b/python/paddle/v2/fluid/layers/math_op_patch.py @@ -0,0 +1,152 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from ..framework import Variable, unique_name +from layer_function_generator import OpProtoHolder + +__all__ = ['monkey_patch_variable'] + + +def monkey_patch_variable(): + def unique_tmp_name(): + return unique_name("tmp") + + def safe_get_dtype(var): + try: + dtype = var.dtype + except: + raise ValueError("Cannot get data type from %s", var.name) + return dtype + + def create_tensor(block, value, dtype, shape): + value = float(value) + tmp_name = unique_tmp_name() + var = block.create_var(name=tmp_name, shape=shape, dtype=dtype) + block.append_op( + type="fill_constant", + outputs={'Out': [var]}, + attrs={'dtype': var.dtype, + 'shape': shape, + 'value': value}) + return var + + def create_scalar(block, value, dtype): + return create_tensor(block, value, dtype, shape=[1]) + + def create_tensor_with_batchsize(ref_var, value, dtype): + assert isinstance(ref_var, Variable) + value = float(value) + tmp_name = unique_tmp_name() + var = ref_var.block.create_var(name=tmp_name, dtype=dtype) + ref_var.block.append_op( + type='fill_constant_batch_size_like', + outputs={'Out': [var]}, + inputs={'Input': [ref_var]}, + attrs={'shape': ref_var.shape, + 'value': value}) + return var + + def astype(self, dtype): + """ + Cast a variable to a specified data type. + NOTE: The variable must be a Tensor + Args: + self(Variable): The source variable + dtype: The target dtype + + Returns: + Variable with new dtype + """ + tmp_name = unique_tmp_name() + out = self.block.create_var(name=tmp_name, dtype=dtype) + self.block.append_op( + type="cast", + inputs={"X": [self]}, + outputs={"Out": [out]}, + attrs={"in_dtype": self.dtype, + "out_dtype": out.dtype}) + return out + + def _elemwise_method_creator_(method_name, op_type, reverse=False): + def __impl__(self, other_var): + lhs_dtype = safe_get_dtype(self) + + if not isinstance(other_var, Variable): + if reverse: + has_batch_size = False + for elem in self.shape: + if elem < 0: + has_batch_size = True + break + if not has_batch_size: + other_var = create_tensor( + self.block, + other_var, + dtype=lhs_dtype, + shape=self.shape) + else: + other_var = create_tensor_with_batchsize( + self, other_var, lhs_dtype) + else: + # add fill_op to self.block + other_var = create_scalar( + self.block, value=other_var, dtype=lhs_dtype) + + rhs_dtype = safe_get_dtype(other_var) + if lhs_dtype != rhs_dtype: + other_var = astype(other_var, lhs_dtype) + if reverse: + tmp = self + self = other_var + other_var = tmp + + tmp_name = unique_tmp_name() + out = self.block.create_var(name=tmp_name, dtype=lhs_dtype) + self.block.append_op( + type=op_type, + inputs={'X': [self], + 'Y': [other_var]}, + outputs={'Out': out}) + return out + + comment = OpProtoHolder.instance().get_op_proto(op_type).comment + + __impl__.__doc__ = """ + {0} + Args: + self(Variable): left hand variable + other_var(Variable|float|int): right hand variable + + Returns: + Variable + """.format(comment) + __impl__.__name__ = method_name + return __impl__ + + # inject methods + for method_name, op_type, reverse in ( + ("__add__", "elementwise_add", False), + # a+b == b+a. Do not need to reverse explicitly + ("__radd__", "elementwise_add", False), + ("__sub__", "elementwise_sub", False), + ("__rsub__", "elementwise_sub", True), + ("__mul__", "elementwise_mul", False), + # a*b == b*a. Do not need to reverse explicitly + ("__rmul__", "elementwise_mul", False), + ("__div__", "elementwise_div", False), + ("__rdiv__", "elementwise_div", True)): + setattr(Variable, method_name, + _elemwise_method_creator_(method_name, op_type, reverse)) + + Variable.astype = astype diff --git a/python/paddle/v2/fluid/layers/nn.py b/python/paddle/v2/fluid/layers/nn.py index 808f25d6be..10a1269334 100644 --- a/python/paddle/v2/fluid/layers/nn.py +++ b/python/paddle/v2/fluid/layers/nn.py @@ -1,16 +1,16 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. """ All layers just related to the neural network. """ @@ -19,12 +19,14 @@ from ..layer_helper import LayerHelper from ..initializer import Normal, Constant from ..framework import Variable from ..param_attr import ParamAttr +from layer_function_generator import autodoc from tensor import concat __all__ = [ 'fc', 'embedding', 'dynamic_lstm', + 'dynamic_gru', 'gru_unit', 'linear_chain_crf', 'crf_decoding', @@ -50,7 +52,17 @@ __all__ = [ 'sequence_last_step', 'dropout', 'split', + 'ctc_greedy_decoder', + 'edit_distance', + 'l2_normalize', 'matmul', + 'warpctc', + 'sequence_reshape', + 'transpose', + 'im2sequence', + 'nce', + 'beam_search', + 'row_conv', ] @@ -65,14 +77,14 @@ def fc(input, **Fully Connected Layer** The fully connected layer can take multiple tensors as its inputs. It - creates a variable (one for each input tensor) called weights for each input - tensor, which represents a fully connected weight matrix from each input - unit to each output unit. The fully connected layer multiplies each input - tensor with its coresponding weight to produce an output Tensor. If - multiple input tensors are given, the results of multiple multiplications - will be sumed up. If bias_attr is not None, a biases variable will be - created and added to the output. Finally, if activation is not None, - it will be applied to the output as well. + creates a variable (one for each input tensor) called weights for each + input tensor, which represents a fully connected weight matrix from + each input unit to each output unit. The fully connected layer + multiplies each input tensor with its coresponding weight to produce + an output Tensor. If multiple input tensors are given, the results of + multiple multiplications will be sumed up. If bias_attr is not None, + a biases variable will be created and added to the output. Finally, + if activation is not None, it will be applied to the output as well. This process can be formulated as follows: @@ -153,10 +165,8 @@ def fc(input, tmp = helper.create_tmp_variable(dtype) helper.append_op( type="mul", - inputs={ - "X": input_var, - "Y": w, - }, + inputs={"X": input_var, + "Y": w}, outputs={"Out": tmp}, attrs={"x_num_col_dims": num_flatten_dims, "y_num_col_dims": 1}) @@ -175,22 +185,35 @@ def fc(input, return helper.append_activation(pre_activation) -def embedding(input, size, is_sparse=False, param_attr=None, dtype='float32'): +def embedding(input, + size, + is_sparse=False, + padding_idx=None, + param_attr=None, + dtype='float32'): """ **Embedding Layer** - This layer is used to lookup a vector of IDs, provided by *input*, in a lookup table. - The result of this lookup is the embedding of each ID in the *input*. + This layer is used to lookup embeddings of IDs, provided by :attr:`input`, in + a lookup table. The result of this lookup is the embedding of each ID in the + :attr:`input`. All the input variables are passed in as local variables to the LayerHelper constructor. Args: - input(Variable): Input to the function - size(tuple|list|None): Shape of the look up table parameter - is_sparse(bool): Boolean flag that specifying whether the input is sparse - param_attr(ParamAttr): Parameters for this layer - dtype(np.dtype|core.DataType|str): The type of data : float32, float_16, int etc + input(Variable): The tensor variable containing the IDs. + size(tuple|list): The shape of the look up table parameter. It should + have two elements which indicate the size of the dictionary of + embeddings and the size of each embedding vector respectively. + is_sparse(bool): The flag indicating whether to use sparse update. + padding_idx(int|long|None): If :attr:`None`, it makes no effect to lookup. + Otherwise the given :attr:`padding_idx` indicates padding the output + with zeros whenever lookup encounters it in :attr:`input`. If + :math:`padding_idx < 0`, the padding_idx to use in lookup is + :math:`size[0] + dim`. + param_attr(ParamAttr): Parameters for this layer + dtype(np.dtype|core.DataType|str): The type of data : float32, float_16, int etc Returns: Variable: The tensor variable storing the embeddings of the \ @@ -208,12 +231,15 @@ def embedding(input, size, is_sparse=False, param_attr=None, dtype='float32'): w = helper.create_parameter( attr=helper.param_attr, shape=size, dtype=dtype, is_bias=False) tmp = helper.create_tmp_variable(dtype) + padding_idx = -1 if padding_idx is None else padding_idx if padding_idx >= 0 else ( + size[0] + padding_idx) helper.append_op( type='lookup_table', inputs={'Ids': input, 'W': w}, outputs={'Out': tmp}, - attrs={'is_sparse': is_sparse}) + attrs={'is_sparse': is_sparse, + 'padding_idx': padding_idx}) return tmp @@ -228,6 +254,102 @@ def dynamic_lstm(input, cell_activation='tanh', candidate_activation='tanh', dtype='float32'): + """ + **Dynamic LSTM Layer** + + The defalut implementation is diagonal/peephole connection + (https://arxiv.org/pdf/1402.1128.pdf), the formula is as follows: + + .. math:: + + i_t & = \sigma(W_{ix}x_{t} + W_{ih}h_{t-1} + W_{ic}c_{t-1} + b_i) + + f_t & = \sigma(W_{fx}x_{t} + W_{fh}h_{t-1} + W_{fc}c_{t-1} + b_f) + + \\tilde{c_t} & = act_g(W_{cx}x_t + W_{ch}h_{t-1} + b_c) + + o_t & = \sigma(W_{ox}x_{t} + W_{oh}h_{t-1} + W_{oc}c_t + b_o) + + c_t & = f_t \odot c_{t-1} + i_t \odot \\tilde{c_t} + + h_t & = o_t \odot act_h(c_t) + + where the :math:`W` terms denote weight matrices (e.g. :math:`W_{xi}` is + the matrix of weights from the input gate to the input), :math:`W_{ic}, \ + W_{fc}, W_{oc}` are diagonal weight matrices for peephole connections. In + our implementation, we use vectors to reprenset these diagonal weight + matrices. The :math:`b` terms denote bias vectors (:math:`b_i` is the input + gate bias vector), :math:`\sigma` is the non-line activations, such as + logistic sigmoid function, and :math:`i, f, o` and :math:`c` are the input + gate, forget gate, output gate, and cell activation vectors, respectively, + all of which have the same size as the cell output activation vector :math:`h`. + + The :math:`\odot` is the element-wise product of the vectors. :math:`act_g` + and :math:`act_h` are the cell input and cell output activation functions + and `tanh` is usually used for them. :math:`\\tilde{c_t}` is also called + candidate hidden state, which is computed based on the current input and + the previous hidden state. + + Set `use_peepholes` to `False` to disable peephole connection. The formula + is omitted here, please refer to the paper + http://www.bioinf.jku.at/publications/older/2604.pdf for details. + + Note that these :math:`W_{xi}x_{t}, W_{xf}x_{t}, W_{xc}x_{t}, W_{xo}x_{t}` + operations on the input :math:`x_{t}` are NOT included in this operator. + Users can choose to use fully-connect layer before LSTM layer. + + Args: + input(Variable): The input of dynamic_lstm layer, which supports + variable-time length input sequence. The underlying + tensor in this Variable is a matrix with shape + (T X 4D), where T is the total time steps in this + mini-batch, D is the hidden size. + size(int): 4 * hidden size. + param_attr(ParamAttr): The parameter attribute for the learnable + hidden-hidden weights. + + - The shape is (D x 4D), where D is the hidden + size. + - Weights = {:math:`W_{ch}, W_{ih}, \ + W_{fh}, W_{oh}`} + bias_attr(ParamAttr): The bias attribute for the learnable bias + weights, which contains two parts, input-hidden + bias weights and peephole connections weights if + setting `use_peepholes` to `True`. + + 1. `use_peepholes = False` + - The shape is (1 x 4D). + - Biases = {:math:`b_c, b_i, b_f, b_o`}. + 2. `use_peepholes = True` + - The shape is (1 x 7D). + - Biases = { :math:`b_c, b_i, b_f, b_o, W_{ic}, \ + W_{fc}, W_{oc}`}. + use_peepholes(bool): Whether to enable diagonal/peephole connections, + default `True`. + is_reverse(bool): Whether to compute reversed LSTM, default `False`. + gate_activation(str): The activation for input gate, forget gate and + output gate. Choices = ["sigmoid", "tanh", "relu", + "identity"], default "sigmoid". + cell_activation(str): The activation for cell output. Choices = ["sigmoid", + "tanh", "relu", "identity"], default "tanh". + candidate_activation(str): The activation for candidate hidden state. + Choices = ["sigmoid", "tanh", "relu", "identity"], + default "tanh". + dtype(str): Data type. Choices = ["float32", "float64"], default "float32". + + Returns: + tuple: The hidden state, and cell state of LSTM. The shape of both \ + is (T x D), and lod is the same with the `input`. + + Examples: + .. code-block:: python + + hidden_dim = 512 + forward_proj = fluid.layers.fc(input=input_seq, size=hidden_dim * 4, + act=None, bias_attr=None) + forward, _ = fluid.layers.dynamic_lstm( + input=forward_proj, size=hidden_dim * 4, use_peepholes=False) + """ helper = LayerHelper('lstm', **locals()) size = size / 4 weight = helper.create_parameter( @@ -264,6 +386,113 @@ def dynamic_lstm(input, return hidden, cell +def dynamic_gru(input, + size, + param_attr=None, + bias_attr=None, + is_reverse=False, + gate_activation='sigmoid', + candidate_activation='tanh', + h_0=None): + """ + **Dynamic GRU Layer** + + Refer to `Empirical Evaluation of Gated Recurrent Neural Networks on + Sequence Modeling `_ + + The formula is as follows: + + .. math:: + + u_t & = act_g(W_{ux}x_{t} + W_{uh}h_{t-1} + b_u) + + r_t & = act_g(W_{rx}x_{t} + W_{rh}h_{t-1} + b_r) + + \\tilde{h_t} & = act_c(W_{cx}x_{t} + W_{ch}(r_t \odot h_{t-1}) + b_c) + + h_t & = (1-u_t) \odot h_{t-1} + u_t \odot \\tilde{h_t} + + The :math:`\odot` is the element-wise product of the vectors. :math:`act_g` + is the update gate and reset gate activation function and :math:`sigmoid` + is usually used for it. :math:`act_c` is the activation function for + candidate hidden state and :math:`tanh` is usually used for it. + + Note that these :math:`W_{ux}x_{t}, W_{rx}x_{t}, W_{cx}x_{t}` operations on + the input :math:`x_{t}` are NOT included in this operator. Users can choose + to use fully-connect layer before GRU layer. + + Args: + input(Variable): The input of dynamic_gru layer, which supports + variable-time length input sequence. The underlying tensor in this + Variable is a matrix with shape :math:`(T \\times 3D)`, where + :math:`T` is the total time steps in this mini-batch, :math:`D` + is the hidden size. + size(int): The dimension of the gru cell. + param_attr(ParamAttr|None): The parameter attribute for the learnable + hidden-hidden weight matrix. Note: + + - The shape of the weight matrix is :math:`(T \\times 3D)`, where + :math:`D` is the hidden size. + - All elements in the weight matrix can be divided into two parts. + The first part are weights of the update gate and reset gate with + shape :math:`(D \\times 2D)`, and the second part are weights for + candidate hidden state with shape :math:`(D \\times D)`. + bias_attr(ParamAttr): The parameter attribute for learnable the + hidden-hidden bias. + is_reverse(bool): Whether to compute reversed GRU, default + :attr:`False`. + gate_activation(str): The activation for update gate and reset gate. + Choices = ["sigmoid", "tanh", "relu", "identity"], default "sigmoid". + activation(str): The activation for candidate hidden state. + Choices = ["sigmoid", "tanh", "relu", "identity"], default "tanh". + + Returns: + Variable: The hidden state of GRU. The shape is (T \\times D), and lod \ + is the same with the input. + + Examples: + .. code-block:: python + + hidden_dim = 512 + x = fluid.layers.fc(input=data, size=hidden_dim * 3) + hidden = fluid.layers.dynamic_gru(input=x, dim=hidden_dim) + """ + + helper = LayerHelper('gru', **locals()) + dtype = helper.input_dtype() + + weight = helper.create_parameter( + attr=helper.param_attr, shape=[size, 3 * size], dtype=dtype) + bias = helper.create_parameter( + attr=helper.bias_attr, shape=[1, 3 * size], dtype=dtype, is_bias=True) + inputs = {'Input': input, 'Weight': weight, 'Bias': bias} + if h_0 != None: + assert h_0.shape == ( + size, size), 'The shape of h0 should be(%d, %d)' % (size, size) + inputs['h0'] = h_0 + + hidden = helper.create_tmp_variable(dtype) + batch_gate = helper.create_tmp_variable(dtype) + batch_reset_hidden_prev = helper.create_tmp_variable(dtype) + batch_hidden = helper.create_tmp_variable(dtype) + + helper.append_op( + type='gru', + inputs=inputs, + outputs={ + 'Hidden': hidden, + 'BatchGate': batch_gate, + 'BatchResetHiddenPrev': batch_reset_hidden_prev, + 'BatchHidden': batch_hidden + }, + attrs={ + 'is_reverse': is_reverse, + 'gate_activation': gate_activation, + 'activation': candidate_activation + }) + return hidden + + def gru_unit(input, hidden, size, @@ -675,6 +904,7 @@ def conv2d(input, groups=None, param_attr=None, bias_attr=None, + use_cudnn=True, act=None): """ **Convlution2D Layer** @@ -687,8 +917,8 @@ def conv2d(input, `_ . If bias attribution and activation type are provided, bias is added to the output of the convolution, and the corresponding activation function is applied to the final result. - For each input :math:`X`, the equation is: + For each input :math:`X`, the equation is: .. math:: @@ -696,49 +926,54 @@ def conv2d(input, In the above equation: - * :math:`X`: Input value, a tensor with NCHW format. - * :math:`W`: Filter value, a tensor with MCHW format. - * :math:`\\ast`: Convolution operation. - * :math:`b`: Bias value, a 2-D tensor with shape [M, 1]. - * :math:`\\sigma`: Activation function. - * :math:`Out`: Output value, the shape of :math:`Out` and :math:`X` may be different. + * :math:`X`: Input value, a tensor with NCHW format. + * :math:`W`: Filter value, a tensor with MCHW format. + * :math:`\\ast`: Convolution operation. + * :math:`b`: Bias value, a 2-D tensor with shape [M, 1]. + * :math:`\\sigma`: Activation function. + * :math:`Out`: Output value, the shape of :math:`Out` and :math:`X` may be different. Example: - Input: - Input shape: $(N, C_{in}, H_{in}, W_{in})$ + - Input: + + Input shape: $(N, C_{in}, H_{in}, W_{in})$ - Filter shape: $(C_{out}, C_{in}, H_f, W_f)$ + Filter shape: $(C_{out}, C_{in}, H_f, W_f)$ + + - Output: + Output shape: $(N, C_{out}, H_{out}, W_{out})$ - Output: - Output shape: $(N, C_{out}, H_{out}, W_{out})$ Where - .. math:: + + .. math:: H_{out}&= \\frac{(H_{in} + 2 * paddings[0] - (dilations[0] * (H_f - 1) + 1))}{strides[0]} + 1 \\\\ W_{out}&= \\frac{(W_{in} + 2 * paddings[1] - (dilations[1] * (W_f - 1) + 1))}{strides[1]} + 1 Args: - input(Variable): The input image with [N, C, H, W] format. - num_filters(int): The number of filter. It is as same as the output - image channel. - filter_size(int|tuple|None): The filter size. If filter_size is a tuple, - it must contain two integers, (filter_size_H, filter_size_W). - Otherwise, the filter will be a square. - stride(int|tuple): The stride size. If stride is a tuple, it must - contain two integers, (stride_H, stride_W). Otherwise, the - stride_H = stride_W = stride. Default: stride = 1. - padding(int|tuple): The padding size. If padding is a tuple, it must - contain two integers, (padding_H, padding_W). Otherwise, the - padding_H = padding_W = padding. Default: padding = 0. - groups(int): The groups number of the Conv2d Layer. According to grouped - convolution in Alex Krizhevsky's Deep CNN paper: when group=2, - the first half of the filters is only connected to the first half - of the input channels, while the second half of the filters is only - connected to the second half of the input channels. Default: groups=1 - param_attr(ParamAttr): The parameters to the Conv2d Layer. Default: None - bias_attr(ParamAttr): Bias parameter for the Conv2d layer. Default: None - act(str): Activation type. Default: None + input(Variable): The input image with [N, C, H, W] format. + num_filters(int): The number of filter. It is as same as the output + image channel. + filter_size(int|tuple|None): The filter size. If filter_size is a tuple, + it must contain two integers, (filter_size_H, filter_size_W). + Otherwise, the filter will be a square. + stride(int|tuple): The stride size. If stride is a tuple, it must + contain two integers, (stride_H, stride_W). Otherwise, the + stride_H = stride_W = stride. Default: stride = 1. + padding(int|tuple): The padding size. If padding is a tuple, it must + contain two integers, (padding_H, padding_W). Otherwise, the + padding_H = padding_W = padding. Default: padding = 0. + groups(int): The groups number of the Conv2d Layer. According to grouped + convolution in Alex Krizhevsky's Deep CNN paper: when group=2, + the first half of the filters is only connected to the first half + of the input channels, while the second half of the filters is only + connected to the second half of the input channels. Default: groups=1 + param_attr(ParamAttr): The parameters to the Conv2d Layer. Default: None + bias_attr(ParamAttr): Bias parameter for the Conv2d layer. Default: None + use_cudnn(bool): Use cudnn kernel or not, it is valid only when the cudnn + library is installed. Default: True + act(str): Activation type. Default: None Returns: Variable: The tensor variable storing the convolution and \ @@ -753,7 +988,6 @@ def conv2d(input, data = fluid.layers.data(name='data', shape=[3, 32, 32], dtype='float32') conv2d = fluid.layers.conv2d(input=data, num_filters=2, filter_size=3, act="relu") """ - if stride is None: stride = [1, 1] helper = LayerHelper('conv2d', **locals()) @@ -773,6 +1007,8 @@ def conv2d(input, stride = [stride, stride] if isinstance(padding, int): padding = [padding, padding] + if not isinstance(use_cudnn, bool): + raise ValueError("use_cudnn should be True or False") input_shape = input.shape filter_shape = [num_filters, num_filter_channels] + filter_size @@ -796,9 +1032,12 @@ def conv2d(input, 'Filter': filter_param, }, outputs={"Output": pre_bias}, - attrs={'strides': stride, - 'paddings': padding, - 'groups': groups}) + attrs={ + 'strides': stride, + 'paddings': padding, + 'groups': groups, + 'use_cudnn': use_cudnn + }) pre_act = helper.append_bias_op(pre_bias, dim_start=1, dim_end=2) @@ -946,7 +1185,9 @@ def pool2d(input, pool_type, pool_stride=None, pool_padding=None, - global_pooling=False): + global_pooling=False, + use_cudnn=True, + name=None): """ This function adds the operator for pooling in 2 dimensions, using the pooling configurations mentioned in input parameters. @@ -965,6 +1206,8 @@ def pool2d(input, pool_stride = [pool_stride, pool_stride] if isinstance(pool_padding, int): pool_padding = [pool_padding, pool_padding] + if not isinstance(use_cudnn, bool): + raise ValueError("use_cudnn should be True or False") helper = LayerHelper('pool2d', **locals()) dtype = helper.input_dtype() @@ -979,7 +1222,8 @@ def pool2d(input, "ksize": pool_size, "global_pooling": global_pooling, "strides": pool_stride, - "paddings": pool_padding + "paddings": pool_padding, + "use_cudnn": use_cudnn }) return pool_out @@ -992,7 +1236,8 @@ def batch_norm(input, epsilon=1e-05, param_attr=None, bias_attr=None, - data_layout='NCHW'): + data_layout='NCHW', + name=None): """ This function helps create an operator to implement the BatchNorm layer using the configurations from the input parameters. @@ -1068,7 +1313,7 @@ def batch_norm(input, return helper.append_activation(batch_norm_out) -def beam_search_decode(ids, scores): +def beam_search_decode(ids, scores, name=None): helper = LayerHelper('beam_search_decode', **locals()) sentence_ids = helper.create_tmp_variable(dtype=ids.dtype) sentence_scores = helper.create_tmp_variable(dtype=ids.dtype) @@ -1092,38 +1337,89 @@ def conv2d_transpose(input, padding=None, stride=None, dilation=None, - param_attr=None): + param_attr=None, + use_cudnn=True, + name=None): """ - The transpose of conv2d layer. + **Convlution2D transpose layer** + + The convolution2D transpose layer calculates the output based on the input, + filter, and dilations, strides, paddings. Input(Input) and output(Output) + are in NCHW format. Where N is batch size, C is the number of channels, + H is the height of the feature, and W is the width of the feature. + Parameters(dilations, strides, paddings) are two elements. These two elements + represent height and width, respectively. The details of convolution transpose + layer, please refer to the following explanation and references `therein `_. + + For each input :math:`X`, the equation is: + + .. math:: + + Out = W \\ast X + + In the above equation: + + * :math:`X`: Input value, a tensor with NCHW format. + * :math:`W`: Filter value, a tensor with MCHW format. + * :math:`\\ast` : Convolution transpose operation. + * :math:`Out`: Output value, the shape of :math:`Out` and :math:`X` may be different. + + Example: + + - Input: - This layer is also known as deconvolution layer. + Input shape: $(N, C_{in}, H_{in}, W_{in})$ + + Filter shape: $(C_{in}, C_{out}, H_f, W_f)$ + + - Output: + + Output shape: $(N, C_{out}, H_{out}, W_{out})$ + + Where + + .. math:: + + H_{out} &= (H_{in} - 1) * strides[0] - 2 * paddings[0] + dilations[0] * (H_f - 1) + 1 \\\\ + W_{out} &= (W_{in} - 1) * strides[1] - 2 * paddings[1] + dilations[1] * (W_f - 1) + 1 Args: - input(Variable): The input image with [N, C, H, W] format. - num_filters(int): The number of filter. It is as same as the output - image channel. - output_size(int|tuple|None): The output image size. If output size is a - tuple, it must contain two integers, (image_H, image_W). This - parameter only works when filter_size is None. - filter_size(int|tuple|None): The filter size. If filter_size is a tuple, - it must contain two integers, (filter_size_H, filter_size_W). - Otherwise, the filter will be a square. None if use output size to - calculate filter_size - padding(int|tuple): The padding size. If padding is a tuple, it must - contain two integers, (padding_H, padding_W). Otherwise, the - padding_H = padding_W = padding. - stride(int|tuple): The stride size. If stride is a tuple, it must - contain two integers, (stride_H, stride_W). Otherwise, the - stride_H = stride_W = stride. - dilation(int|tuple): The dilation size. If dilation is a tuple, it must - contain two integers, (dilation_H, dilation_W). Otherwise, the - dilation_H = dilation_W = dilation. - param_attr: Parameter Attribute. - main_program(Program): the main program - startup_program(Program): the startup program + input(Variable): The input image with [N, C, H, W] format. + num_filters(int): The number of the filter. It is as same as the output + image channel. + output_size(int|tuple|None): The output image size. If output size is a + tuple, it must contain two integers, (image_H, image_W). This + parameter only works when filter_size is None. + filter_size(int|tuple|None): The filter size. If filter_size is a tuple, + it must contain two integers, (filter_size_H, filter_size_W). + Otherwise, the filter will be a square. None if use output size to + calculate filter_size. + padding(int|tuple): The padding size. If padding is a tuple, it must + contain two integers, (padding_H, padding_W). Otherwise, the + padding_H = padding_W = padding. Default: padding = 0. + stride(int|tuple): The stride size. If stride is a tuple, it must + contain two integers, (stride_H, stride_W). Otherwise, the + stride_H = stride_W = stride. Default: stride = 1. + dilation(int|tuple): The dilation size. If dilation is a tuple, it must + contain two integers, (dilation_H, dilation_W). Otherwise, the + dilation_H = dilation_W = dilation. Default: dilation = 1. + param_attr(ParamAttr): The parameters to the Conv2d_transpose Layer. Default: None + use_cudnn(bool): Use cudnn kernel or not, it is valid only when the cudnn + library is installed. Default: True + name(str|None): A name for this layer(optional). If set None, the layer + will be named automatically. Returns: - Variable: Output image. + Variable: The tensor variable storing the convolution transpose result. + + Raises: + ValueError: If the shapes of input, filter_size, stride, padding and groups mismatch. + + Examples: + .. code-block:: python + + data = fluid.layers.data(name='data', shape=[3, 32, 32], dtype='float32') + conv2d_transpose = fluid.layers.conv2d_transpose(input=data, num_filters=2, filter_size=3) """ helper = LayerHelper("conv2d_transpose", **locals()) if not isinstance(input, Variable): @@ -1147,6 +1443,10 @@ def conv2d_transpose(input, elif dilation is not None: op_attr['dilations'] = dilation + if not isinstance(use_cudnn, bool): + raise ValueError("use_cudnn should be True or False") + op_attr['use_cudnn'] = use_cudnn + if filter_size is None: if output_size is None: raise ValueError("output_size must be set when filter_size is None") @@ -1184,7 +1484,7 @@ def conv2d_transpose(input, return out -def sequence_expand(x, y): +def sequence_expand(x, y, name=None): """Sequence Expand Layer. This layer will expand the input variable **x** according to LoD information of **y**. And the following examples will explain how sequence_expand works: @@ -1228,6 +1528,8 @@ def sequence_expand(x, y): Args: x (Variable): The input variable which is a Tensor or LoDTensor. y (Variable): The input variable which is a LoDTensor. + name(str|None): A name for this layer(optional). If set None, the layer + will be named automatically. Returns: Variable: The expanded variable which is a LoDTensor. @@ -1249,12 +1551,45 @@ def sequence_expand(x, y): return tmp +def beam_search(pre_ids, ids, scores, beam_size, end_id, level=0): + ''' + This function implements the beam search algorithm. + ''' + helper = LayerHelper('beam_search', **locals()) + score_type = scores.dtype + id_type = ids.dtype + + selected_scores = helper.create_tmp_variable(dtype=score_type) + selected_ids = helper.create_tmp_variable(dtype=id_type) + + helper.append_op( + type='beam_search', + inputs={ + 'pre_ids': pre_ids, + 'ids': ids, + 'scores': scores, + }, + outputs={ + 'selected_ids': selected_ids, + 'selected_scores': selected_scores, + }, + attrs={ + # TODO(ChunweiYan) to assure other value support + 'level': level, + 'beam_size': beam_size, + 'end_id': end_id, + }) + + return selected_ids, selected_scores + + def lstm_unit(x_t, hidden_t_prev, cell_t_prev, forget_bias=0.0, param_attr=None, - bias_attr=None): + bias_attr=None, + name=None): """Lstm unit layer. The equation of a lstm step is: .. math:: @@ -1301,6 +1636,8 @@ def lstm_unit(x_t, initializer, name etc. bias_attr (ParamAttr): The attributes of bias weights, if not False, bias weights will be created and be set to default value. + name(str|None): A name for this layer(optional). If set None, the layer + will be named automatically. Returns: tuple: The hidden value and cell value of lstm unit. @@ -1366,7 +1703,7 @@ def lstm_unit(x_t, return h, c -def reduce_sum(input, dim=None, keep_dim=False): +def reduce_sum(input, dim=None, keep_dim=False, name=None): """ Computes the sum of tensor elements over the given dimension. @@ -1380,6 +1717,8 @@ def reduce_sum(input, dim=None, keep_dim=False): keep_dim (bool): Whether to reserve the reduced dimension in the output Tensor. The result tensor will have one fewer dimension than the :attr:`input` unless :attr:`keep_dim` is true. + name(str|None): A name for this layer(optional). If set None, the layer + will be named automatically. Returns: Variable: The reduced Tensor variable. @@ -1410,7 +1749,7 @@ def reduce_sum(input, dim=None, keep_dim=False): return out -def reduce_mean(input, dim=None, keep_dim=False): +def reduce_mean(input, dim=None, keep_dim=False, name=None): """ Computes the mean of tensor elements over the given dimension. @@ -1424,6 +1763,8 @@ def reduce_mean(input, dim=None, keep_dim=False): keep_dim (bool): Whether to reserve the reduced dimension in the output Tensor. The result tensor will have one fewer dimension than the :attr:`input` unless :attr:`keep_dim` is true. + name(str|None): A name for this layer(optional). If set None, the layer + will be named automatically. Returns: Variable: The reduced Tensor variable. @@ -1454,7 +1795,7 @@ def reduce_mean(input, dim=None, keep_dim=False): return out -def reduce_max(input, dim=None, keep_dim=False): +def reduce_max(input, dim=None, keep_dim=False, name=None): """ Computes the maximum of tensor elements over the given dimension. @@ -1468,6 +1809,8 @@ def reduce_max(input, dim=None, keep_dim=False): keep_dim (bool): Whether to reserve the reduced dimension in the output Tensor. The result tensor will have one fewer dimension than the :attr:`input` unless :attr:`keep_dim` is true. + name(str|None): A name for this layer(optional). If set None, the layer + will be named automatically. Returns: Variable: The reduced Tensor variable. @@ -1498,7 +1841,7 @@ def reduce_max(input, dim=None, keep_dim=False): return out -def reduce_min(input, dim=None, keep_dim=False): +def reduce_min(input, dim=None, keep_dim=False, name=None): """ Computes the minimum of tensor elements over the given dimension. @@ -1512,6 +1855,8 @@ def reduce_min(input, dim=None, keep_dim=False): keep_dim (bool): Whether to reserve the reduced dimension in the output Tensor. The result tensor will have one fewer dimension than the :attr:`input` unless :attr:`keep_dim` is true. + name(str|None): A name for this layer(optional). If set None, the layer + will be named automatically. Returns: Variable: The reduced Tensor variable. @@ -1542,20 +1887,22 @@ def reduce_min(input, dim=None, keep_dim=False): return out -def split(input, num_or_sections, dim=-1): +def split(input, num_or_sections, dim=-1, name=None): """ - Splits the tensor into multiple sub-tensors. + Split the input tensor into multiple sub-tensors. Args: input (Variable): The input variable which is a Tensor or LoDTensor. - num_or_sections (int|list): If :attr:`num_or_sections` is an integer, - then the integer indicates the number of equal sized sub-tensors - that the tensor will be divided into. If :attr:`num_or_sections` - is a list of integers, the length of list indicates the number of - sub-tensors and the integers indicate the sizes of sub-tensors' + num_or_sections (int|list): If :attr:`num_or_sections` is an integer, + then the integer indicates the number of equal sized sub-tensors + that the tensor will be divided into. If :attr:`num_or_sections` + is a list of integers, the length of list indicates the number of + sub-tensors and the integers indicate the sizes of sub-tensors' :attr:`dim` dimension orderly. - dim (int): The dimension along which to split. If :math:`dim < 0`, the + dim (int): The dimension along which to split. If :math:`dim < 0`, the dimension to split along is :math:`rank(input) + dim`. + name(str|None): A name for this layer(optional). If set None, the layer + will be named automatically. Returns: List: The list of segmented tensor variables. @@ -1600,39 +1947,121 @@ def split(input, num_or_sections, dim=-1): return outs +def l2_normalize(x, axis, epsilon=1e-12, name=None): + """ + **L2 normalize Layer** + + The l2 normalize layer normalizes `x` along dimension `axis` using an L2 + norm. For a 1-D tensor (`dim` is fixed to 0), this layer computes + + output = x / sqrt(max(sum(x**2), epsilon)) + + For `x` with more dimensions, this layer independently normalizes each 1-D + slice along dimension `axis`. + + Args: + x(Variable|list): The input tensor to l2_normalize layer. + axis(int): Dimension along which to normalize the input. + epsilon(float): A lower bound value for `x`'s l2 norm. sqrt(epsilon) will + be used as the divisor if the l2 norm of `x` is less than + sqrt(epsilon). + name(str|None): A name for this layer(optional). If set None, the layer + will be named automatically. + + + Returns: + Variable: The output tensor variable. + + Examples: + .. code-block:: python + + data = fluid.layers.data(name="data", + shape=(3, 17, 13), + dtype="float32") + fc = fluid.layers.l2_normalize(x=data, axis=1) + """ + + if len(x.shape) == 1: axis = 0 + + helper = LayerHelper("l2_normalize", **locals()) + + square = helper.create_tmp_variable(dtype=x.dtype) + helper.append_op(type="square", inputs={"X": x}, outputs={"Out": square}) + + reduced_sum = helper.create_tmp_variable(dtype=x.dtype) + helper.append_op( + type="reduce_sum", + inputs={"X": square}, + outputs={"Out": reduced_sum}, + attrs={ + "dim": 1 if axis is None else axis, + "keep_dim": True, + "reduce_all": False + }) + + # TODO(caoying) A lower bound value epsilon for the norm is needed to + # imporve the numeric stability of reciprocal. This requires a maximum_op. + rsquare = helper.create_tmp_variable(dtype=x.dtype) + helper.append_op( + type="reciprocal", inputs={"X": reduced_sum}, outputs={"Out": rsquare}) + + # TODO(caoying) the current elementwise_mul operator does not support a + # general broadcast rule which broadcasts input(Y) to have the same + # dimension with Input(X) starting from a specified dimension. So this + # exanpsion is requred. Once a general broadcast rule is spported, this + # expanding canbe removed. + rsquare_expanded = helper.create_tmp_variable(dtype=x.dtype) + expand_times = [1] * len(x.shape) + expand_times[axis] = int(x.shape[axis]) + helper.append_op( + type="expand", + inputs={"X": rsquare}, + outputs={"Out": rsquare_expanded}, + attrs={"expand_times": expand_times}) + + out = helper.create_tmp_variable(dtype=x.dtype) + helper.append_op( + type="elementwise_mul", + inputs={"X": x, + "Y": rsquare_expanded}, + outputs={"Out": out}) + return out + + def matmul(x, y, transpose_x=False, transpose_y=False, name=None): """ - Applies matrix multipication to two tensors. Currently only rank 1 to rank - 3 input tensors are supported. + Applies matrix multiplication to two tensors. Currently, the input + tensors' rank can be any, but when the rank of anyone inputs is + bigger than 3, this two inputs' rank should be equal. - The actual behavior depends on the shapes of :math:`x`, :math:`y` and the + The actual behavior depends on the shapes of :math:`x`, :math:`y` and the flag values of :attr:`transpose_x`, :attr:`transpose_y`. Specifically: - - If a transpose flag is specified, the last two dimensions of the tensor - are transposed. If the tensor is rank-1 of shape :math:`[D]`, then for - :math:`x` it is treated as :math:`[1, D]` in nontransposed form and as - :math:`[D, 1]` in transposed form, whereas for :math:`y` it is the - opposite: It is treated as :math:`[D, 1]` in nontransposed form and as + - If a transpose flag is specified, the last two dimensions of the tensor + are transposed. If the tensor is rank-1 of shape :math:`[D]`, then for + :math:`x` it is treated as :math:`[1, D]` in nontransposed form and as + :math:`[D, 1]` in transposed form, whereas for :math:`y` it is the + opposite: It is treated as :math:`[D, 1]` in nontransposed form and as :math:`[1, D]` in transposed form. - - After transpose, the two tensors are 2-D or 3-D and matrix multipication + - After transpose, the two tensors are 2-D or n-D and matrix multiplication performs in the following way. - If both are 2-D, they are multiplied like conventional matrices. - - If either is 3-D, it is treated as a stack of matrices residing in the - last two dimensions and a batched matrix multiply supporting broadcast + - If either is n-D, it is treated as a stack of matrices residing in the + last two dimensions and a batched matrix multiply supporting broadcast applies on the two tensors. - Also note that if the raw tensor :math:`x` or :math:`y` is rank-1 and - nontransposed, the prepended or appended dimension :math:`1` will be - removed after matrix multipication. + Also note that if the raw tensor :math:`x` or :math:`y` is rank-1 and + nontransposed, the prepended or appended dimension :math:`1` will be + removed after matrix multiplication. Args: x (Variable): The input variable which is a Tensor or LoDTensor. y (Variable): The input variable which is a Tensor or LoDTensor. transpose_x (bool): Whether to transpose :math:`x` before multiplication. transpose_y (bool): Whether to transpose :math:`y` before multiplication. - name(str|None): A name for this layer(optional). If set None, the layer + name(str|None): A name for this layer(optional). If set None, the layer will be named automatically. Returns: @@ -1642,6 +2071,8 @@ def matmul(x, y, transpose_x=False, transpose_y=False, name=None): .. code-block:: python # Examples to clarify shapes of the inputs and output + # x: [B, ..., M, K], y: [B, ..., K, N] + fluid.layers.matmul(x, y) # out: [B, ..., M, N] # x: [B, M, K], y: [B, K, N] fluid.layers.matmul(x, y) # out: [B, M, N] # x: [B, M, K], y: [K, N] @@ -1653,12 +2084,13 @@ def matmul(x, y, transpose_x=False, transpose_y=False, name=None): # x: [K], y: [K] fluid.layers.matmul(x, y) # out: [1] # x: [M], y: [N] + fluid.layers.matmul(x, y, True, True) # out: [M, N] """ helper = LayerHelper('matmul', **locals()) - assert max( - len(x.shape), len(y.shape) - ) <= 3, 'Currently only rank 1 to rank 3 input tensors are supported.' + assert max(len(x.shape), len(y.shape)) <= 3 or len(x.shape) == len( + y. + shape), 'Inputs\' rank should be equal or their rank should be less 4.' out = helper.create_tmp_variable(dtype=helper.input_dtype()) helper.append_op( type='matmul', @@ -1668,3 +2100,521 @@ def matmul(x, y, transpose_x=False, transpose_y=False, name=None): attrs={'transpose_X': transpose_x, 'transpose_Y': transpose_y}) return out + + +def edit_distance(input, + label, + normalized=False, + ignored_tokens=None, + name=None): + """ + EditDistance operator computes the edit distances between a batch of hypothesis strings and their references. Edit distance, also called Levenshtein distance, measures how dissimilar two strings are by counting the minimum number of operations to transform one string into anthor. Here the operations include insertion, deletion, and substitution. For example, given hypothesis string A = "kitten" and reference B = "sitting", the edit distance is 3 for A will be transformed into B at least after two substitutions and one insertion: + + "kitten" -> "sitten" -> "sittin" -> "sitting" + + Input(Hyps) is a LoDTensor consisting of all the hypothesis strings with the total number denoted by `batch_size`, and the separation is specified by the LoD information. And the `batch_size` reference strings are arranged in order in the same way in the LoDTensor Input(Refs). + + Output(Out) contains the `batch_size` results and each stands for the edit stance for a pair of strings respectively. If Attr(normalized) is true, the edit distance will be divided by the length of reference string. + + Args: + + input(Variable): The indices for hypothesis strings. + + label(Variable): The indices for reference strings. + + normalized(bool): Indicated whether to normalize the edit distance by the length of reference string. + + ignored_tokens(list of int): Tokens that should be removed before calculating edit distance. + + Returns: + Variable: sequence-to-sequence edit distance in shape [batch_size, 1]. + + Examples: + .. code-block:: python + + x = fluid.layers.data(name='x', shape=[8], dtype='float32') + y = fluid.layers.data(name='y', shape=[7], dtype='float32') + + cost = fluid.layers.edit_distance(input=x,label=y) + """ + helper = LayerHelper("edit_distance", **locals()) + + # remove some tokens from input and labels + if ignored_tokens is not None and len(ignored_tokens) > 0: + erased_input = helper.create_tmp_variable(dtype="int64") + erased_label = helper.create_tmp_variable(dtype="int64") + + helper.append_op( + type="sequence_erase", + inputs={"X": [input]}, + outputs={"Out": [erased_input]}, + attrs={"tokens": ignored_tokens}) + input = erased_input + + helper.append_op( + type="sequence_erase", + inputs={"X": [label]}, + outputs={"Out": [erase_label]}, + attrs={"tokens": ignored_tokens}) + label = erased_label + + # edit distance op + edit_distance_out = helper.create_tmp_variable(dtype="int64") + sequence_num = helper.create_tmp_variable(dtype="int64") + helper.append_op( + type="edit_distance", + inputs={"Hyps": [input], + "Refs": [label]}, + outputs={"Out": [edit_distance_out], + "SequenceNum": [sequence_num]}, + attrs={"normalized": normalized}) + + return edit_distance_out, sequence_num + + +def ctc_greedy_decoder(input, blank, name=None): + """ + This op is used to decode sequences by greedy policy by below steps: + 1. Get the indexes of max value for each row in input. a.k.a. numpy.argmax(input, axis=0). + 2. For each sequence in result of step1, merge repeated tokens between two blanks and delete all blanks. + + A simple example as below: + + .. code-block:: text + + Given: + + input.data = [[0.6, 0.1, 0.3, 0.1], + [0.3, 0.2, 0.4, 0.1], + [0.1, 0.5, 0.1, 0.3], + [0.5, 0.1, 0.3, 0.1], + + [0.5, 0.1, 0.3, 0.1], + [0.2, 0.2, 0.2, 0.4], + [0.2, 0.2, 0.1, 0.5], + [0.5, 0.1, 0.3, 0.1]] + + input.lod = [[0, 4, 8]] + + Then: + + output.data = [[2], + [1], + [3]] + + output.lod = [[0, 2, 3]] + + Args: + + input(Variable): (LoDTensor), the probabilities of variable-length sequences, which is a 2-D Tensor with LoD information. It's shape is [Lp, num_classes + 1], where Lp is the sum of all input sequences' length and num_classes is the true number of classes. (not including the blank label). + + blank(int): the blank label index of Connectionist Temporal Classification (CTC) loss, which is in thehalf-opened interval [0, num_classes + 1). + + Returns: + Variable: CTC greedy decode result. + + Examples: + .. code-block:: python + + x = fluid.layers.data(name='x', shape=[8], dtype='float32') + + cost = fluid.layers.ctc_greedy_decoder(input=x, blank=0) + """ + helper = LayerHelper("ctc_greedy_decoder", **locals()) + # top 1 op + topk_out = helper.create_tmp_variable(dtype=input.dtype) + topk_indices = helper.create_tmp_variable(dtype="int64") + helper.append_op( + type="top_k", + inputs={"X": [input]}, + outputs={"Out": [topk_out], + "Indices": [topk_indices]}, + attrs={"k": 1}) + + # ctc align op + ctc_out = helper.create_tmp_variable(dtype="int64") + helper.append_op( + type="ctc_align", + inputs={"Input": [topk_indices]}, + outputs={"Output": [ctc_out]}, + attrs={"merge_repeated": True, + "blank": blank}) + return ctc_out + + +def warpctc(input, label, blank=0, norm_by_times=False, **kwargs): + """ + An operator integrating the open source Warp-CTC library + (https://github.com/baidu-research/warp-ctc) + to compute Connectionist Temporal Classification (CTC) loss. + It can be aliased as softmax with CTC, since a native softmax activation is + interated to the Warp-CTC library, to to normlize values for each row of the + input tensor. + + Args: + input(Variable): (LodTensor, default: LoDTensor), + the unscaled probabilities of variable-length sequences, + which is a 2-D Tensor with LoD information. + It's shape is [Lp, num_classes + 1], where Lp is the sum of all input + sequences' length and num_classes is the true number of classes. + (not including the blank label). + label(Variable): (LodTensor, default: LoDTensor), the ground truth + of variable-length sequence, which is a 2-D Tensor with LoD + information. It is of the shape [Lg, 1], where Lg is th sum of + all labels' length. + blank: (int, default: 0), the blank label index of Connectionist + Temporal Classification (CTC) loss, which is in the + half-opened interval [0, num_classes + 1). + norm_by_times: (bool, default: false), whether to normalize + the gradients by the number of time-step, which is also the + sequence's length. There is no need to normalize the gradients + if warpctc layer was follewed by a mean_op. + + Returns: + Variable: The Connectionist Temporal Classification (CTC) loss, + which is a 2-D Tensor of the shape [batch_size, 1]. + + Examples: + .. code-block:: python + y = layers.data(name='y', shape=[11, 8], dtype='float32', lod_level=1) + y_predict = layers.data(name='y_predict', shape=[11, 1], dtype='float32') + cost = layers.warpctc(input=y_predict, label=y) + + """ + helper = LayerHelper('warpctc', **kwargs) + loss_out = helper.create_tmp_variable(dtype=input.dtype) + grad_out = helper.create_tmp_variable(dtype=input.dtype) + helper.append_op( + type='warpctc', + inputs={'Logits': [input], + 'Label': [label]}, + outputs={'WarpCTCGrad': [grad_out], + 'Loss': [loss_out]}, + attrs={'blank': blank, + 'norm_by_times': norm_by_times}) + return loss_out + + +def sequence_reshape(input, new_dim): + """ + **Sequence Reshape Layer** + + This layer will rearrange the input sequences. The new dimension is set by + user. Length of each sequence is computed according to original length, + original dimension and new dimension. The following example will help to + illustrate the function of this layer: + + .. code-block:: text + + x is a LoDTensor: + x.lod = [[0, 2, 6]] + x.data = [[1, 2], [3, 4], + [5, 6], [7, 8], [9, 10], [11, 12]] + x.dims = [6, 2] + + set new_dim = 4 + + then out is a LoDTensor: + out.lod = [[0, 1, 3]] + out.data = [[1, 2, 3, 4], + [5, 6, 7, 8], [9, 10, 11, 12]] + out.dims = [3, 4] + + Currently, only 1-level LoDTensor is supported and please make sure + (original length * original dimension) can be divided by new dimension with + no remainder for each sequence. + + Args: + input (Variable): (LodTensor, default: LoDTensor), a 2-D LoDTensor + with shape being [N, M] where M for dimension. + new_dim (int): New dimension which the input LoDTensor is reshaped to. + + Returns: + Variable: Reshaped LoDTensor according to new dimension. + + Examples: + .. code-block:: python + + x = fluid.layers.data(name='x', shape=[5, 20], + dtype='float32', lod_level=1) + x_reshaped = layers.sequence_reshape(input=x, new_dim=10) + """ + helper = LayerHelper('sequence_reshape', **locals()) + out = helper.create_tmp_variable(helper.input_dtype()) + helper.append_op( + type='sequence_reshape', + inputs={'X': [input]}, + outputs={'Out': [out]}, + attrs={'new_dim': new_dim}) + return out + + +@autodoc() +def nce(input, + label, + num_total_classes, + sample_weight=None, + param_attr=None, + bias_attr=None, + num_neg_samples=None): + helper = LayerHelper('nce', **locals()) + assert isinstance(input, Variable) + dim = input.shape[1] + assert isinstance(label, Variable) + num_true_class = label.shape[1] + w = helper.create_parameter( + attr=helper.param_attr, + shape=[num_total_classes, dim], + is_bias=False, + dtype=input.dtype) + b = helper.create_parameter( + attr=helper.bias_attr, + shape=[num_total_classes, 1], + is_bias=True, + dtype=input.dtype) + cost = helper.create_tmp_variable(dtype=input.dtype) + sample_logits = helper.create_tmp_variable(dtype=input.dtype) + sample_labels = helper.create_tmp_variable(dtype=label.dtype) + + if num_neg_samples is None: + num_neg_samples = 10 + else: + num_neg_samples = int(num_neg_samples) + + attrs = { + 'num_total_classes': int(num_total_classes), + 'num_neg_samples': num_neg_samples + } + + helper.append_op( + type='nce', + inputs={ + 'Input': input, + 'Label': label, + 'Weight': w, + 'Bias': b, + 'SampleWeight': sample_weight if sample_weight is not None else [] + }, + outputs={ + 'Cost': cost, + 'SampleLogits': sample_logits, + 'SampleLabels': sample_labels + }, + attrs=attrs) + return cost / (num_neg_samples + 1) + + +def transpose(x, perm, name=None): + """ + **transpose Layer** + + Permute the dimensions of `input` according to `perm`. + + The `i`-th dimension of the returned tensor will correspond to the + perm[i]-th dimension of `input`. + + Args: + input (Variable): (Tensor), A Tensor. + perm (list): A permutation of the dimensions of `input`. + + Returns: + Variable: A transposed Tensor. + + Examples: + .. code-block:: python + + x = fluid.layers.data(name='x', shape=[5, 10, 15], dtype='float32') + x_transposed = layers.transpose(x, perm=[1, 0, 2]) + """ + + if len(perm) != len(x.shape): + raise ValueError( + "Input(perm) is the permutation of dimensions of Input(input). " + "It's length shoud be equal to Input(input)'s rank.") + + helper = LayerHelper('transpose', **locals()) + out = helper.create_tmp_variable(x.dtype) + helper.append_op( + type='transpose', + inputs={'X': [x]}, + outputs={'Out': [out]}, + attrs={'axis': perm}) + return out + + +def im2sequence(input, filter_size=1, stride=1, padding=0, name=None): + """ + Extracts image patches from the input tensor to form a tensor of shape + {input.batch_size * output_height * output_width, filter_size_H * + filter_size_W * input.channels} which is similar with im2col. + This op use filter / kernel to scan images and convert these images to + sequences. After expanding, the number of time step are + output_height * output_width for an image, in which output_height and + output_width are calculated by below equation: + + .. math:: + + output\_size = 1 + \ + (2 * padding + img\_size - block\_size + stride - 1) / stride + + And the dimension of each time step is block_y * block_x * input.channels. + + Args: + input (Variable): The input should be a tensor in NCHW format. + + filter_size(int|tuple|None): The filter size. If filter_size is a tuple, + it must contain two integers, (filter_size_H, filter_size_W). + Otherwise, the filter will be a square. + + stride(int|tuple): The stride size. If stride is a tuple, it must + contain two integers, (stride_H, stride_W). Otherwise, the + stride_H = stride_W = stride. Default: stride = 1. + + padding(int|tuple): The padding size. If padding is a tuple, it can + contain two integers like (padding_H, padding_W) which means + padding_up = padding_down = padding_H and + padding_left = padding_right = padding_W. Or it can use + (padding_up, padding_left, padding_down, padding_right) to indicate + paddings of four direction. Otherwise, a scalar padding means + padding_up = padding_down = padding_left = padding_right = padding + Default: padding = 0. + + name (int): The name of this layer. It is optional. + + Returns: + output: The output is a LoDTensor with shape + {input.batch_size * output_height * output_width, + filter_size_H * filter_size_W * input.channels}. + If we regard output as a matrix, each row of this matrix is + a step of a sequence. + + Examples: + + As an example: + + .. code-block:: text + + Given: + + x = [[[[ 6. 2. 1.] + [ 8. 3. 5.] + [ 0. 2. 6.]] + + [[ 2. 4. 4.] + [ 6. 3. 0.] + [ 6. 4. 7.]]] + + [[[ 6. 7. 1.] + [ 5. 7. 9.] + [ 2. 4. 8.]] + + [[ 1. 2. 1.] + [ 1. 3. 5.] + [ 9. 0. 8.]]]] + + x.dims = {2, 2, 3, 3} + + And: + + filter = [2, 2] + stride = [1, 1] + padding = [0, 0] + + Then: + + output.data = [[ 6. 2. 8. 3. 2. 4. 6. 3.] + [ 2. 1. 3. 5. 4. 4. 3. 0.] + [ 8. 3. 0. 2. 6. 3. 6. 4.] + [ 3. 5. 2. 6. 3. 0. 4. 7.] + [ 6. 7. 5. 7. 1. 2. 1. 3.] + [ 7. 1. 7. 9. 2. 1. 3. 5.] + [ 5. 7. 2. 4. 1. 3. 9. 0.] + [ 7. 9. 4. 8. 3. 5. 0. 8.]] + + output.dims = {8, 9} + + output.lod = [[0, 4, 8]] + + The simple usage is: + + .. code-block:: python + + output = fluid.layers.im2sequence(input=layer, stride=[1, 1], filter_size=[2, 2]) + + """ + + if isinstance(filter_size, int): + filter_size = [filter_size, filter_size] + if isinstance(stride, int): + stride = [stride, stride] + if isinstance(padding, int): + padding = [padding, padding] + if len(padding) == 2: + padding.append(padding[0]) + padding.append(padding[1]) + + helper = LayerHelper('im2sequence', **locals()) + out = helper.create_tmp_variable(dtype=helper.input_dtype()) + helper.append_op( + type='im2sequence', + inputs={'X': input}, + outputs={'Out': out}, + attrs={ + 'kernels': filter_size, + 'strides': stride, + 'paddings': padding, + }) + return out + + +def row_conv(input, future_context_size, param_attr=None, act=None): + """Row Conv Operator. This layer will apply lookahead convolution to + **input**. The input variable should be a 2D LoDTensor with shape [T, D]. + Parameters with shape [future_context_size + 1, D] will be created. The math + equation of row convolution is as follows: + + .. math:: + Out_{i} = \sum_{j = i} ^ {i + \\tau} X_{j} \odot W_{i - j} + + In the above equation: + + * :math:`Out_{i}`: The i-th row of output variable with shape [1, D]. + * :math:`\\tau`: Future context size. + * :math:`X_{j}`: The j-th row of input variable with shape [1, D]. + * :math:`W_{i-j}`: The (i-j)-th row of parameters with shape [1, D]. + + More details about row_conv please refer to the paper \ + (http://www.cs.cmu.edu/~dyogatam/papers/wang+etal.iclrworkshop2016.pdf) and + the design document \ + (https://github.com/PaddlePaddle/Paddle/issues/2228#issuecomment-303903645). + + Args: + input (Variable): Input variable, a 2D LoDTensor with shape [T, D]. + future_context_size (int): Future context size. Please note, the shape + of convolution kernel is [future_context_size + 1, D]. + param_attr (ParamAttr): Attributes of parameters, including + name, initializer etc. + act (str): Non-linear activation to be applied to output variable. + + Returns: + Variable: The output tensor with same shape as input tensor. + + Examples: + .. code-block:: python + + x = fluid.layers.data(name='x', shape=[16], + dtype='float32', lod_level=1) + out = fluid.layers.row_conv(input=x, future_context_size=2) + """ + helper = LayerHelper('row_conv', **locals()) + dtype = helper.input_dtype() + filter_shape = [future_context_size + 1, input.shape[1]] + filter_param = helper.create_parameter( + attr=helper.param_attr, shape=filter_shape, dtype=dtype) + out = helper.create_tmp_variable(dtype) + helper.append_op( + type='row_conv', + inputs={'X': [input], + 'Filter': [filter_param]}, + outputs={'Out': [out]}) + return helper.append_activation(out) diff --git a/python/paddle/v2/fluid/layers/ops.py b/python/paddle/v2/fluid/layers/ops.py index 21945edf08..022a94cad4 100644 --- a/python/paddle/v2/fluid/layers/ops.py +++ b/python/paddle/v2/fluid/layers/ops.py @@ -1,17 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. -from ..registry import register_layer +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +from layer_function_generator import generate_layer_fn __activations__ = [ 'sigmoid', @@ -49,7 +49,6 @@ __all__ = [ 'mul', 'reshape', 'scale', - 'transpose', 'sigmoid_cross_entropy_with_logits', 'elementwise_add', 'elementwise_div', @@ -58,8 +57,9 @@ __all__ = [ 'elementwise_max', 'elementwise_min', 'clip', + 'clip_by_norm', 'sequence_softmax', ] + __activations__ for _OP in set(__all__): - globals()[_OP] = register_layer(_OP) + globals()[_OP] = generate_layer_fn(_OP) diff --git a/python/paddle/v2/fluid/layers/tensor.py b/python/paddle/v2/fluid/layers/tensor.py index 255b9d4678..6e7d09459c 100644 --- a/python/paddle/v2/fluid/layers/tensor.py +++ b/python/paddle/v2/fluid/layers/tensor.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from ..layer_helper import LayerHelper from ..param_attr import ParamAttr from ..framework import convert_np_dtype_to_dtype_ diff --git a/python/paddle/v2/fluid/memory_optimization_transpiler.py b/python/paddle/v2/fluid/memory_optimization_transpiler.py index 89ffe26ed1..956c5b66da 100644 --- a/python/paddle/v2/fluid/memory_optimization_transpiler.py +++ b/python/paddle/v2/fluid/memory_optimization_transpiler.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from collections import defaultdict import framework from framework import Program, default_main_program, Parameter, Variable @@ -30,10 +31,12 @@ dtype_to_size = { class ControlFlowGraph(object): - def __init__(self, Program): + def __init__(self, Program, ops, forward_num): self._program = Program - self._succesors = defaultdict(set) - self._presucessors = defaultdict(set) + self._ops = ops + self._forward_num = forward_num + self._successors = defaultdict(set) + self._presuccessors = defaultdict(set) self._uses = defaultdict(set) self._defs = defaultdict(set) self._live_in = defaultdict(set) @@ -44,25 +47,16 @@ class ControlFlowGraph(object): self._add(node1, node2) def _add(self, node1, node2): - self._succesors[node1].add(node2) - self._presucessors[node2].add(node1) + self._successors[node1].add(node2) + self._presuccessors[node2].add(node1) def _build_graph(self): - program_desc = self._program.get_desc() - block_size = program_desc.num_blocks() - - # TODO(qijun) handle Program with if/while operators - self.global_block_desc = program_desc.block(0) - self.op_size = self.global_block_desc.op_size() - + self.op_size = len(self._ops) op_node_connections = [(i, i + 1) for i in range(self.op_size - 1)] self._add_connections(op_node_connections) - - self.ops = [self.global_block_desc.op(i) for i in range(self.op_size)] - for i in range(self.op_size): - self._uses[i].update(self.ops[i].input_arg_names()) - self._defs[i].update(self.ops[i].output_arg_names()) + self._uses[i].update(self._ops[i].input_arg_names()) + self._defs[i].update(self._ops[i].output_arg_names()) def _update_graph(self, old_name, new_name, begin_idx=0): for i in range(begin_idx, self.op_size): @@ -102,7 +96,7 @@ class ControlFlowGraph(object): live_out[i] = set(self._live_out[i]) self._live_in[i] = self._uses[i] | ( self._live_out[i] - self._defs[i]) - for s in self._succesors[i]: + for s in self._successors[i]: self._live_out[i] |= self._live_in[s] if self._reach_fixed_point(live_in, live_out): @@ -112,39 +106,76 @@ class ControlFlowGraph(object): u = a & b return a - u, b - u + def _has_var(self, block_desc, var_name, is_forward): + if is_forward: + return block_desc.has_var(str(var_name)) + else: + return block_desc.has_var_recursive(str(var_name)) + + def _find_var(self, block_desc, var_name, is_forward): + if is_forward: + return block_desc.find_var(str(var_name)) + else: + return block_desc.find_var_recursive(str(var_name)) + def memory_optimize(self): + def check_var_validity(block_desc, x, is_forward): + if str(x) == "@EMPTY@": + return False + if not self._has_var(block_desc, x, is_forward): + return False + if self._find_var(block_desc, x, is_forward).persistable(): + return False + if self._find_var( + block_desc, x, + is_forward).type() != core.VarDesc.VarType.LOD_TENSOR: + return False + return True + self._build_graph() self._dataflow_analyze() self.pool = [] for i in range(self.op_size): + op = self._ops[i] + if op.type() == "while" or op.type() == "while_grad": + continue + block_desc = op.block() + is_forward = i < self._forward_num if self.pool: - out_pair = [(x, self.global_block_desc.var(str(x)).shape()) - for x in self._defs[i]] + defs_can_optimize = filter( + lambda x: check_var_validity(block_desc, x, is_forward), + self._defs[i]) + out_pair = [ + (x, self._find_var(block_desc, x, is_forward).shape()) + for x in defs_can_optimize + ] for x, x_shape in out_pair: - if not self.global_block_desc.var(str(x)).persistable(): - for index, cache_pair in enumerate(self.pool): - cache_var = cache_pair[0] - cache_shape = cache_pair[1] - if x_shape == cache_shape: - x_dtype = self.global_block_desc.var(str( - x)).dtype() - cache_dtype = self.global_block_desc.var( - str(cache_var)).dtype() + for index, cache_pair in enumerate(self.pool): + cache_var = cache_pair[0] + cache_shape = cache_pair[1] + if x_shape == cache_shape: + if self._has_var(block_desc, cache_var, is_forward): + x_dtype = self._find_var(block_desc, x, + is_forward).dtype() + cache_dtype = self._find_var( + block_desc, cache_var, is_forward).dtype() # TODO(qijun): actually, we should compare dtype_to_size[x_dtype] # and dtype_to_size[cache_dtype] if x_dtype == cache_dtype: - print( - ("Hit Cache !!!! cache pool index " - "is %d, var name is %s, " - "cached var name is %s, " - "var shape is %s ") % - (index, x, cache_var, str(cache_shape))) + print(("Hit Cache !!!! cache pool index " + "is %d, var name is %s, " + "cached var name is %s, " + "var shape is %s ") % + (index, x, cache_var, + str(cache_shape))) self.pool.pop(index) + if x == cache_var: + break _rename_arg_( - self.ops, x, cache_var, begin_idx=i) - self._program.current_block().var(str( - x)).desc = self.global_block_desc.var( - str(cache_var)) + self._ops, x, cache_var, begin_idx=i) + self._program.block(block_desc.id).var( + str(x)).desc = self._find_var( + block_desc, cache_var, is_forward) self._update_graph( x, cache_var, begin_idx=i) break @@ -152,20 +183,70 @@ class ControlFlowGraph(object): in_diff, out_diff = self._get_diff(self._live_in[i], self._live_out[i]) can_optimize = filter( - lambda x: not self.global_block_desc.var(str(x)).persistable(), + lambda x: check_var_validity(block_desc, x, is_forward), in_diff) if can_optimize: for var_name in can_optimize: - self.pool.append( - (var_name, - self.global_block_desc.var(str(var_name)).shape())) - - def get_program(self): - return self._program + self.pool.append((var_name, self._find_var( + block_desc, var_name, is_forward).shape())) + + +def get_cfgs(input_program): + ops_list = [] + pdesc = input_program.get_desc() + block_desc = pdesc.block(0) + op_size = block_desc.op_size() + # Get global block ops + ops_list.append(([block_desc.op(i) for i in range(op_size)], op_size)) + + while_sub_block_ids = [] + while_grad_sub_block_ids = [] + while_pair = [] + + for i in range(op_size): + op = block_desc.op(i) + if op.type() == "while": + while_sub_block_ids.append(op.attr("sub_block").id) + elif op.type() == "while_grad": + while_grad_sub_block_ids.append(op.attr("sub_block").id) + + # Find while/while_grad block pair + for grad_id in while_grad_sub_block_ids: + parent_id = pdesc.block(grad_id).parent + if parent_id in while_sub_block_ids: + while_pair.append((parent_id, grad_id)) + while_sub_block_ids.remove(parent_id) + + # Get while/while_grad block ops + for parent_id, grad_id in while_pair: + while_block_ops = [] + while_block = pdesc.block(parent_id) + while_block_op_size = while_block.op_size() + for i in range(while_block_op_size): + while_block_ops.append(while_block.op(i)) + + while_grad_block = pdesc.block(grad_id) + while_grad_block_op_size = while_grad_block.op_size() + for i in range(while_grad_block_op_size): + while_block_ops.append(while_grad_block.op(i)) + + ops_list.append((while_block_ops, while_block_op_size)) + + # Process rest while block ops + for parent_id in while_sub_block_ids: + while_block_ops = [] + while_block = pdesc.block(parent_id) + while_block_op_size = while_block.op_size() + for i in range(while_block_op_size): + while_block_ops.append(while_block.op(i)) + + ops_list.append((while_block_ops, while_block_op_size)) + + cfgs = [ControlFlowGraph(input_program, i, j) for i, j in ops_list] + return cfgs def memory_optimize(input_program): - graph = ControlFlowGraph(input_program) - graph.memory_optimize() - result_program = graph.get_program() - return result_program + cfgs = get_cfgs(input_program) + for cfg in cfgs: + cfg.memory_optimize() diff --git a/python/paddle/v2/fluid/net_drawer.py b/python/paddle/v2/fluid/net_drawer.py index 7448975b59..9b126f5197 100644 --- a/python/paddle/v2/fluid/net_drawer.py +++ b/python/paddle/v2/fluid/net_drawer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import argparse import json import logging diff --git a/python/paddle/v2/fluid/nets.py b/python/paddle/v2/fluid/nets.py index ee6f70b899..6146e3711d 100644 --- a/python/paddle/v2/fluid/nets.py +++ b/python/paddle/v2/fluid/nets.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import layers __all__ = [ @@ -28,19 +29,22 @@ def simple_img_conv_pool(input, pool_stride, act, param_attr=None, - pool_type='max'): + pool_type='max', + use_cudnn=True): conv_out = layers.conv2d( input=input, num_filters=num_filters, filter_size=filter_size, param_attr=param_attr, - act=act) + act=act, + use_cudnn=use_cudnn) pool_out = layers.pool2d( input=conv_out, pool_size=pool_size, pool_type=pool_type, - pool_stride=pool_stride) + pool_stride=pool_stride, + use_cudnn=use_cudnn) return pool_out @@ -52,9 +56,10 @@ def img_conv_group(input, conv_act=None, param_attr=None, conv_with_batchnorm=False, - conv_batchnorm_drop_rate=None, + conv_batchnorm_drop_rate=0.0, pool_stride=1, - pool_type=None): + pool_type=None, + use_cudnn=True): """ Image Convolution Group, Used for vgg net. """ @@ -85,7 +90,8 @@ def img_conv_group(input, filter_size=conv_filter_size[i], padding=conv_padding[i], param_attr=param_attr[i], - act=local_conv_act) + act=local_conv_act, + use_cudnn=use_cudnn) if conv_with_batchnorm[i]: tmp = layers.batch_norm(input=tmp, act=conv_act) @@ -97,7 +103,8 @@ def img_conv_group(input, input=tmp, pool_size=pool_size, pool_type=pool_type, - pool_stride=pool_stride) + pool_stride=pool_stride, + use_cudnn=use_cudnn) return pool_out @@ -120,21 +127,21 @@ def sequence_conv_pool(input, def glu(input, dim=-1): """ - The gated linear unit composed by split, sigmoid activation and elementwise - multiplication. Specifically, Split the input into two equal sized parts - :math:`a` and :math:`b` along the given dimension and then compute as + The gated linear unit composed by split, sigmoid activation and elementwise + multiplication. Specifically, Split the input into two equal sized parts + :math:`a` and :math:`b` along the given dimension and then compute as following: .. math:: {GLU}(a, b)= a \otimes \sigma(b) - Refer to `Language Modeling with Gated Convolutional Networks + Refer to `Language Modeling with Gated Convolutional Networks `_. - + Args: input (Variable): The input variable which is a Tensor or LoDTensor. - dim (int): The dimension along which to split. If :math:`dim < 0`, the + dim (int): The dimension along which to split. If :math:`dim < 0`, the dimension to split along is :math:`rank(input) + dim`. Returns: @@ -157,24 +164,24 @@ def dot_product_attention(querys, keys, values): """ The dot-product attention. - Attention mechanism can be seen as mapping a query and a set of key-value - pairs to an output. The output is computed as a weighted sum of the values, - where the weight assigned to each value is computed by a compatibility + Attention mechanism can be seen as mapping a query and a set of key-value + pairs to an output. The output is computed as a weighted sum of the values, + where the weight assigned to each value is computed by a compatibility function (dot-product here) of the query with the corresponding key. - - The dot-product attention can be implemented through (batch) matrix + + The dot-product attention can be implemented through (batch) matrix multipication as follows: .. math:: Attention(Q, K, V)= softmax(QK^\mathrm{T})V - Refer to `Attention Is All You Need + Refer to `Attention Is All You Need `_. - Note that batch data containing sequences with different lengths is not + Note that batch data containing sequences with different lengths is not supported by this because of the (batch) matrix multipication. - + Args: query (Variable): The input variable which is a Tensor or LoDTensor. key (Variable): The input variable which is a Tensor or LoDTensor. diff --git a/python/paddle/v2/fluid/op.py b/python/paddle/v2/fluid/op.py index 4bc0f79c64..f368e0c2d8 100644 --- a/python/paddle/v2/fluid/op.py +++ b/python/paddle/v2/fluid/op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid.core as core import paddle.v2.fluid.proto.framework_pb2 as framework_pb2 diff --git a/python/paddle/v2/fluid/optimizer.py b/python/paddle/v2/fluid/optimizer.py index 8bd62ef0c0..0c3533b892 100644 --- a/python/paddle/v2/fluid/optimizer.py +++ b/python/paddle/v2/fluid/optimizer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from collections import defaultdict import framework diff --git a/python/paddle/v2/fluid/param_attr.py b/python/paddle/v2/fluid/param_attr.py index 3af0190590..dcca8b6c54 100644 --- a/python/paddle/v2/fluid/param_attr.py +++ b/python/paddle/v2/fluid/param_attr.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from initializer import Initializer, Xavier, Constant from regularizer import WeightDecayRegularizer @@ -24,13 +25,13 @@ class ParamAttr(object): learning_rate=1.0, regularizer=None, trainable=True, - clip=None): + gradient_clip=None): self.name = name self.initializer = initializer self.learning_rate = learning_rate self.regularizer = regularizer self.trainable = trainable - self.clip = clip + self.gradient_clip = gradient_clip def set_default_initializer(self, initializer): if initializer is None: @@ -76,7 +77,7 @@ class ParamAttr(object): }, 'regularizer': self.regularizer, 'trainable': self.trainable, - 'clip_attr': self.clip + 'gradient_clip_attr': self.gradient_clip } if with_initializer: kwargs['initializer'] = self.initializer diff --git a/python/paddle/v2/fluid/profiler.py b/python/paddle/v2/fluid/profiler.py index f049498b9f..51c1c8aa70 100644 --- a/python/paddle/v2/fluid/profiler.py +++ b/python/paddle/v2/fluid/profiler.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid.core as core from contextlib import contextmanager import os @@ -62,3 +63,58 @@ def cuda_profiler(output_file, output_mode=None, config=None): # Disables profiler collection. core.nvprof_stop() os.remove(config_file) + + +def reset_profiler(): + """The profiler clear interface. + reset_profiler will clear the previous time record. + """ + core.reset_profiler() + + +@contextmanager +def profiler(state, sorted_key=None): + """The profiler interface. + Different from cuda_profiler, this profiler can be used to profile both CPU + and GPU program. By defalut, it records the CPU and GPU operator kernels, + if you want to profile other program, you can refer the profiling tutorial + to add more records. + + Args: + state (string) : The profiling state, which should be 'CPU' or 'GPU', + telling the profiler to use CPU timer or GPU timer for profiling. + Although users may have already specified the execution place + (CPUPlace/CUDAPlace) in the begining, for flexibility the profiler + would not inherit this place. + sorted_key (string) : If None, the profiling results will be printed + in the order of first end time of events. Otherwise, the profiling + results will be sorted by the this flag. This flag should be one + of 'calls', 'total', 'max', 'min' or 'ave'. + The `calls` means sorting by the number of calls. + The `total` means sorting by the total execution time. + The `max` means sorting by the maximum execution time. + The `min` means sorting by the minimum execution time. + The `ave` means sorting by the average execution time. + """ + + if state not in ['CPU', 'GPU']: + raise ValueError("The state must be 'CPU' or 'GPU'.") + prof_state = core.ProfilerState.kCUDA if state == "GPU" else core.ProfilerState.kCPU + core.enable_profiler(prof_state) + yield + + if sorted_key not in ['calls', 'total', 'max', 'min', 'ave']: + raise ValueError("The state must be in 'calls', 'total', " + "'max', 'min', 'ave'") + sorted_key = 'default' if sorted_key is None else sorted_key + key_map = { + 'default': core.EventSortingKey.kDefault, + 'calls': core.EventSortingKey.kCalls, + 'total': core.EventSortingKey.kTotal, + 'max': core.EventSortingKey.kMax, + 'min': core.EventSortingKey.kMin, + 'ave': core.EventSortingKey.kAve, + } + # TODO(qingqing) : redirect C++ ostream to Python stream. + # with core.ostream_redirect(stdout=True, stderr=True): + core.disable_profiler(key_map[sorted_key]) diff --git a/python/paddle/v2/fluid/regularizer.py b/python/paddle/v2/fluid/regularizer.py index e53dee98fd..c2f28eecfd 100644 --- a/python/paddle/v2/fluid/regularizer.py +++ b/python/paddle/v2/fluid/regularizer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import framework __all__ = [ diff --git a/python/paddle/v2/fluid/tests/CMakeLists.txt b/python/paddle/v2/fluid/tests/CMakeLists.txt index 9a0240cbf6..8305316082 100644 --- a/python/paddle/v2/fluid/tests/CMakeLists.txt +++ b/python/paddle/v2/fluid/tests/CMakeLists.txt @@ -6,3 +6,4 @@ endforeach() add_subdirectory(book) add_subdirectory(book_distribute) +add_subdirectory(book_memory_optimization) diff --git a/python/paddle/v2/fluid/tests/__init__.py b/python/paddle/v2/fluid/tests/__init__.py index 2619c1c0e9..b94a21a7e4 100644 --- a/python/paddle/v2/fluid/tests/__init__.py +++ b/python/paddle/v2/fluid/tests/__init__.py @@ -1,13 +1,13 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/python/paddle/v2/fluid/tests/book/test_fit_a_line.py b/python/paddle/v2/fluid/tests/book/test_fit_a_line.py index 904df66dc1..0b954c60b6 100644 --- a/python/paddle/v2/fluid/tests/book/test_fit_a_line.py +++ b/python/paddle/v2/fluid/tests/book/test_fit_a_line.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy as np import paddle.v2 as paddle import paddle.v2.fluid as fluid @@ -48,7 +49,7 @@ for pass_id in range(PASS_NUM): avg_loss_value, = exe.run(fluid.default_main_program(), feed=feeder.feed(data), fetch_list=[avg_cost]) - + print(avg_loss_value) if avg_loss_value[0] < 10.0: exit(0) # if avg cost less than 10.0, we think our code is good. exit(1) diff --git a/python/paddle/v2/fluid/tests/book/test_image_classification_train.py b/python/paddle/v2/fluid/tests/book/test_image_classification_train.py index a06486aa08..30582a21d0 100644 --- a/python/paddle/v2/fluid/tests/book/test_image_classification_train.py +++ b/python/paddle/v2/fluid/tests/book/test_image_classification_train.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function import sys diff --git a/python/paddle/v2/fluid/tests/book/test_label_semantic_roles.py b/python/paddle/v2/fluid/tests/book/test_label_semantic_roles.py index 42971da0f0..1a342bf1fb 100644 --- a/python/paddle/v2/fluid/tests/book/test_label_semantic_roles.py +++ b/python/paddle/v2/fluid/tests/book/test_label_semantic_roles.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import math import numpy as np @@ -33,7 +34,7 @@ mix_hidden_lr = 1e-3 IS_SPARSE = True PASS_NUM = 10 -BATCH_SIZE = 20 +BATCH_SIZE = 10 embedding_name = 'emb' diff --git a/python/paddle/v2/fluid/tests/book/test_machine_translation.py b/python/paddle/v2/fluid/tests/book/test_machine_translation.py index deeb6b1bad..82b760d693 100644 --- a/python/paddle/v2/fluid/tests/book/test_machine_translation.py +++ b/python/paddle/v2/fluid/tests/book/test_machine_translation.py @@ -1,22 +1,23 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy as np import paddle.v2 as paddle import paddle.v2.fluid as fluid import paddle.v2.fluid.core as core import paddle.v2.fluid.framework as framework -import paddle.v2.fluid.layers as layers +import paddle.v2.fluid.layers as pd from paddle.v2.fluid.executor import Executor dict_size = 30000 @@ -25,53 +26,136 @@ src_dict, trg_dict = paddle.dataset.wmt14.get_dict(dict_size) hidden_dim = 32 word_dim = 16 IS_SPARSE = True -batch_size = 10 -max_length = 50 +batch_size = 2 +max_length = 8 topk_size = 50 trg_dic_size = 10000 +beam_size = 2 decoder_size = hidden_dim +place = core.CPUPlace() + -def encoder_decoder(): +def encoder(): # encoder - src_word_id = layers.data( + src_word_id = pd.data( name="src_word_id", shape=[1], dtype='int64', lod_level=1) - src_embedding = layers.embedding( + src_embedding = pd.embedding( input=src_word_id, size=[dict_size, word_dim], dtype='float32', is_sparse=IS_SPARSE, param_attr=fluid.ParamAttr(name='vemb')) - fc1 = fluid.layers.fc(input=src_embedding, size=hidden_dim * 4, act='tanh') - lstm_hidden0, lstm_0 = layers.dynamic_lstm(input=fc1, size=hidden_dim * 4) - encoder_out = layers.sequence_last_step(input=lstm_hidden0) + fc1 = pd.fc(input=src_embedding, size=hidden_dim * 4, act='tanh') + lstm_hidden0, lstm_0 = pd.dynamic_lstm(input=fc1, size=hidden_dim * 4) + encoder_out = pd.sequence_last_step(input=lstm_hidden0) + return encoder_out + +def decoder_train(context): # decoder - trg_language_word = layers.data( + trg_language_word = pd.data( name="target_language_word", shape=[1], dtype='int64', lod_level=1) - trg_embedding = layers.embedding( + trg_embedding = pd.embedding( input=trg_language_word, size=[dict_size, word_dim], dtype='float32', is_sparse=IS_SPARSE, param_attr=fluid.ParamAttr(name='vemb')) - rnn = fluid.layers.DynamicRNN() + rnn = pd.DynamicRNN() with rnn.block(): current_word = rnn.step_input(trg_embedding) - mem = rnn.memory(init=encoder_out) - fc1 = fluid.layers.fc(input=[current_word, mem], + pre_state = rnn.memory(init=context) + current_state = pd.fc(input=[current_word, pre_state], size=decoder_size, act='tanh') - out = fluid.layers.fc(input=fc1, size=target_dict_dim, act='softmax') - rnn.update_memory(mem, fc1) - rnn.output(out) + + current_score = pd.fc(input=current_state, + size=target_dict_dim, + act='softmax') + rnn.update_memory(pre_state, current_state) + rnn.output(current_score) return rnn() +def decoder_decode(context): + init_state = context + array_len = pd.fill_constant(shape=[1], dtype='int64', value=max_length) + counter = pd.zeros(shape=[1], dtype='int64') + + # fill the first element with init_state + state_array = pd.create_array('float32') + pd.array_write(init_state, array=state_array, i=counter) + + # ids, scores as memory + ids_array = pd.create_array('int64') + scores_array = pd.create_array('float32') + + init_ids = pd.data(name="init_ids", shape=[1], dtype="int64", lod_level=2) + init_scores = pd.data( + name="init_scores", shape=[1], dtype="float32", lod_level=2) + + pd.array_write(init_ids, array=ids_array, i=counter) + pd.array_write(init_scores, array=scores_array, i=counter) + + cond = pd.less_than(x=counter, y=array_len) + + while_op = pd.While(cond=cond) + with while_op.block(): + pre_ids = pd.array_read(array=ids_array, i=counter) + pre_state = pd.array_read(array=state_array, i=counter) + pre_score = pd.array_read(array=scores_array, i=counter) + + # expand the lod of pre_state to be the same with pre_score + pre_state_expanded = pd.sequence_expand(pre_state, pre_score) + + pre_ids_emb = pd.embedding( + input=pre_ids, + size=[dict_size, word_dim], + dtype='float32', + is_sparse=IS_SPARSE) + + # use rnn unit to update rnn + current_state = pd.fc(input=[pre_ids_emb, pre_state_expanded], + size=decoder_size, + act='tanh') + + # use score to do beam search + current_score = pd.fc(input=current_state, + size=target_dict_dim, + act='softmax') + topk_scores, topk_indices = pd.topk(current_score, k=50) + selected_ids, selected_scores = pd.beam_search( + pre_ids, topk_indices, topk_scores, beam_size, end_id=10, level=0) + + pd.increment(x=counter, value=1, in_place=True) + + # update the memories + pd.array_write(current_state, array=state_array, i=counter) + pd.array_write(selected_ids, array=ids_array, i=counter) + pd.array_write(selected_scores, array=scores_array, i=counter) + + pd.less_than(x=counter, y=array_len, cond=cond) + + translation_ids, translation_scores = pd.beam_search_decode( + ids=ids_array, scores=scores_array) + + # return init_ids, init_scores + + return translation_ids, translation_scores + + +def set_init_lod(data, lod, place): + res = core.LoDTensor() + res.set(data, place) + res.set_lod(lod) + return res + + def to_lodtensor(data, place): seq_lens = [len(seq) for seq in data] cur_len = 0 @@ -87,12 +171,13 @@ def to_lodtensor(data, place): return res -def main(): - rnn_out = encoder_decoder() - label = layers.data( +def train_main(): + context = encoder() + rnn_out = decoder_train(context) + label = pd.data( name="target_language_next_word", shape=[1], dtype='int64', lod_level=1) - cost = layers.cross_entropy(input=rnn_out, label=label) - avg_cost = fluid.layers.mean(x=cost) + cost = pd.cross_entropy(input=rnn_out, label=label) + avg_cost = pd.mean(x=cost) optimizer = fluid.optimizer.Adagrad(learning_rate=1e-4) optimizer.minimize(avg_cost) @@ -102,13 +187,12 @@ def main(): paddle.dataset.wmt14.train(dict_size), buf_size=1000), batch_size=batch_size) - place = core.CPUPlace() exe = Executor(place) exe.run(framework.default_startup_program()) batch_id = 0 - for pass_id in xrange(2): + for pass_id in xrange(1): for data in train_data(): word_data = to_lodtensor(map(lambda x: x[0], data), place) trg_word = to_lodtensor(map(lambda x: x[1], data), place) @@ -124,9 +208,48 @@ def main(): print('pass_id=' + str(pass_id) + ' batch=' + str(batch_id) + " avg_cost=" + str(avg_cost_val)) if batch_id > 3: - exit(0) + break batch_id += 1 +def decode_main(): + context = encoder() + translation_ids, translation_scores = decoder_decode(context) + + exe = Executor(place) + exe.run(framework.default_startup_program()) + + init_ids_data = np.array([1 for _ in range(batch_size)], dtype='int64') + init_scores_data = np.array( + [1. for _ in range(batch_size)], dtype='float32') + init_ids_data = init_ids_data.reshape((batch_size, 1)) + init_scores_data = init_scores_data.reshape((batch_size, 1)) + init_lod = [i for i in range(batch_size)] + [batch_size] + init_lod = [init_lod, init_lod] + + train_data = paddle.batch( + paddle.reader.shuffle( + paddle.dataset.wmt14.train(dict_size), buf_size=1000), + batch_size=batch_size) + for _, data in enumerate(train_data()): + init_ids = set_init_lod(init_ids_data, init_lod, place) + init_scores = set_init_lod(init_scores_data, init_lod, place) + + src_word_data = to_lodtensor(map(lambda x: x[0], data), place) + + result_ids, result_scores = exe.run( + framework.default_main_program(), + feed={ + 'src_word_id': src_word_data, + 'init_ids': init_ids, + 'init_scores': init_scores + }, + fetch_list=[translation_ids, translation_scores], + return_numpy=False) + print result_ids.lod() + break + + if __name__ == '__main__': - main() + # train_main() + decode_main() diff --git a/python/paddle/v2/fluid/tests/book/test_recognize_digits_conv.py b/python/paddle/v2/fluid/tests/book/test_recognize_digits_conv.py index 1d5defbed3..4710d16c24 100644 --- a/python/paddle/v2/fluid/tests/book/test_recognize_digits_conv.py +++ b/python/paddle/v2/fluid/tests/book/test_recognize_digits_conv.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function import numpy as np import paddle.v2 as paddle diff --git a/python/paddle/v2/fluid/tests/book/test_recognize_digits_mlp.py b/python/paddle/v2/fluid/tests/book/test_recognize_digits_mlp.py index 02da2fcc85..8776a65bf8 100644 --- a/python/paddle/v2/fluid/tests/book/test_recognize_digits_mlp.py +++ b/python/paddle/v2/fluid/tests/book/test_recognize_digits_mlp.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function import numpy as np import paddle.v2 as paddle @@ -26,7 +27,7 @@ hidden1 = fluid.layers.fc(input=image, act='relu', param_attr=fluid.ParamAttr( regularizer=regularizer, - clip=fluid.clip.ClipByValue(10))) + gradient_clip=fluid.clip.ClipByValue(10))) hidden2 = fluid.layers.fc(input=hidden1, size=64, diff --git a/python/paddle/v2/fluid/tests/book/test_recommender_system.py b/python/paddle/v2/fluid/tests/book/test_recommender_system.py index 47e2afcd83..d4a694e572 100644 --- a/python/paddle/v2/fluid/tests/book/test_recommender_system.py +++ b/python/paddle/v2/fluid/tests/book/test_recommender_system.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy as np import paddle.v2 as paddle import paddle.v2.fluid.core as core diff --git a/python/paddle/v2/fluid/tests/book/test_understand_sentiment_conv.py b/python/paddle/v2/fluid/tests/book/test_understand_sentiment_conv.py index b44d2b41e3..df27399dd2 100644 --- a/python/paddle/v2/fluid/tests/book/test_understand_sentiment_conv.py +++ b/python/paddle/v2/fluid/tests/book/test_understand_sentiment_conv.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function import numpy as np import paddle.v2 as paddle diff --git a/python/paddle/v2/fluid/tests/book/test_understand_sentiment_dynamic_lstm.py b/python/paddle/v2/fluid/tests/book/test_understand_sentiment_dynamic_lstm.py index 5a139c1dcd..529223eba8 100644 --- a/python/paddle/v2/fluid/tests/book/test_understand_sentiment_dynamic_lstm.py +++ b/python/paddle/v2/fluid/tests/book/test_understand_sentiment_dynamic_lstm.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy as np import paddle.v2 as paddle import paddle.v2.fluid as fluid diff --git a/python/paddle/v2/fluid/tests/book/test_understand_sentiment_lstm.py b/python/paddle/v2/fluid/tests/book/test_understand_sentiment_lstm.py index fab8a82f85..117f74c59a 100644 --- a/python/paddle/v2/fluid/tests/book/test_understand_sentiment_lstm.py +++ b/python/paddle/v2/fluid/tests/book/test_understand_sentiment_lstm.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy as np import paddle.v2 as paddle import paddle.v2.fluid as fluid @@ -64,13 +65,13 @@ def lstm_net(dict_dim, class_dim=2, emb_dim=32, seq_len=80, batch_size=50): emb = fluid.layers.embedding(input=data, size=[dict_dim, emb_dim]) emb = fluid.layers.reshape(x=emb, shape=[batch_size, seq_len, emb_dim]) - emb = fluid.layers.transpose(x=emb, axis=[1, 0, 2]) + emb = fluid.layers.transpose(x=emb, perm=[1, 0, 2]) c_pre_init = fluid.layers.fill_constant( dtype=emb.dtype, shape=[batch_size, emb_dim], value=0.0) c_pre_init.stop_gradient = False layer_1_out = lstm(emb, c_pre_init=c_pre_init, hidden_dim=emb_dim) - layer_1_out = fluid.layers.transpose(x=layer_1_out, axis=[1, 0, 2]) + layer_1_out = fluid.layers.transpose(x=layer_1_out, perm=[1, 0, 2]) prediction = fluid.layers.fc(input=layer_1_out, size=class_dim, diff --git a/python/paddle/v2/fluid/tests/book/test_word2vec.py b/python/paddle/v2/fluid/tests/book/test_word2vec.py index 3d4bbccd33..8cf54846fe 100644 --- a/python/paddle/v2/fluid/tests/book/test_word2vec.py +++ b/python/paddle/v2/fluid/tests/book/test_word2vec.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy as np import paddle.v2 as paddle import paddle.v2.fluid as fluid diff --git a/python/paddle/v2/fluid/tests/book_distribute/notest_dist_fit_a_line.py b/python/paddle/v2/fluid/tests/book_distribute/notest_dist_fit_a_line.py index b886071f94..9774edebfb 100644 --- a/python/paddle/v2/fluid/tests/book_distribute/notest_dist_fit_a_line.py +++ b/python/paddle/v2/fluid/tests/book_distribute/notest_dist_fit_a_line.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy as np import paddle.v2 as paddle import paddle.v2.fluid as fluid @@ -53,8 +54,9 @@ if training_role == "PSERVER": if not current_endpoint: print("need env SERVER_ENDPOINT") exit(1) - pserver_prog = t.get_pserver_program(current_endpoint, optimize_ops) - exe.run(fluid.default_startup_program()) + pserver_prog = t.get_pserver_program(current_endpoint) + pserver_startup = t.get_startup_program(current_endpoint, pserver_prog) + exe.run(pserver_startup) exe.run(pserver_prog) else: trainer_prog = t.get_trainer_program() @@ -66,10 +68,10 @@ else: fluid.io.save_persistables(exe, "./fit_a_line.model/") fluid.io.load_persistables(exe, "./fit_a_line.model/") for data in train_reader(): - avg_loss_value, = exe.run(trainer_prog, - feed=feeder.feed(data), - fetch_list=[avg_cost]) - + avg_loss_value = exe.run(trainer_prog, + feed=feeder.feed(data), + fetch_list=[avg_cost]) + print("loss:" + str(avg_loss_value)) if avg_loss_value[0] < 10.0: exit(0) exit(1) diff --git a/python/paddle/v2/fluid/tests/book_distribute/notest_dist_image_classification.py b/python/paddle/v2/fluid/tests/book_distribute/notest_dist_image_classification.py new file mode 100644 index 0000000000..218dea31e1 --- /dev/null +++ b/python/paddle/v2/fluid/tests/book_distribute/notest_dist_image_classification.py @@ -0,0 +1,173 @@ +#Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved +# +#Licensed under the Apache License, Version 2.0 (the "License"); +#you may not use this file except in compliance with the License. +#You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +#Unless required by applicable law or agreed to in writing, software +#distributed under the License is distributed on an "AS IS" BASIS, +#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +#See the License for the specific language governing permissions and +#limitations under the License. + +from __future__ import print_function + +import sys + +import paddle.v2 as paddle +import paddle.v2.fluid as fluid +import os +import sys + +TRAINERS = 5 +BATCH_SIZE = 128 +PASS_NUM = 100 + + +def resnet_cifar10(input, depth=32): + def conv_bn_layer(input, ch_out, filter_size, stride, padding, act='relu'): + tmp = fluid.layers.conv2d( + input=input, + filter_size=filter_size, + num_filters=ch_out, + stride=stride, + padding=padding, + act=None, + bias_attr=False) + return fluid.layers.batch_norm(input=tmp, act=act) + + def shortcut(input, ch_in, ch_out, stride): + if ch_in != ch_out: + return conv_bn_layer(input, ch_out, 1, stride, 0, None) + else: + return input + + def basicblock(input, ch_in, ch_out, stride): + tmp = conv_bn_layer(input, ch_out, 3, stride, 1) + tmp = conv_bn_layer(tmp, ch_out, 3, 1, 1, act=None) + short = shortcut(input, ch_in, ch_out, stride) + return fluid.layers.elementwise_add(x=tmp, y=short, act='relu') + + def layer_warp(block_func, input, ch_in, ch_out, count, stride): + tmp = block_func(input, ch_in, ch_out, stride) + for i in range(1, count): + tmp = block_func(tmp, ch_out, ch_out, 1) + return tmp + + assert (depth - 2) % 6 == 0 + n = (depth - 2) / 6 + conv1 = conv_bn_layer( + input=input, ch_out=16, filter_size=3, stride=1, padding=1) + res1 = layer_warp(basicblock, conv1, 16, 16, n, 1) + res2 = layer_warp(basicblock, res1, 16, 32, n, 2) + res3 = layer_warp(basicblock, res2, 32, 64, n, 2) + pool = fluid.layers.pool2d( + input=res3, pool_size=8, pool_type='avg', pool_stride=1) + return pool + + +def vgg16_bn_drop(input): + def conv_block(input, num_filter, groups, dropouts): + return fluid.nets.img_conv_group( + input=input, + pool_size=2, + pool_stride=2, + conv_num_filter=[num_filter] * groups, + conv_filter_size=3, + conv_act='relu', + conv_with_batchnorm=True, + conv_batchnorm_drop_rate=dropouts, + pool_type='max') + + conv1 = conv_block(input, 64, 2, [0.3, 0]) + conv2 = conv_block(conv1, 128, 2, [0.4, 0]) + conv3 = conv_block(conv2, 256, 3, [0.4, 0.4, 0]) + conv4 = conv_block(conv3, 512, 3, [0.4, 0.4, 0]) + conv5 = conv_block(conv4, 512, 3, [0.4, 0.4, 0]) + + drop = fluid.layers.dropout(x=conv5, dropout_prob=0.5) + fc1 = fluid.layers.fc(input=drop, size=512, act=None) + bn = fluid.layers.batch_norm(input=fc1, act='relu') + drop2 = fluid.layers.dropout(x=bn, dropout_prob=0.5) + fc2 = fluid.layers.fc(input=drop2, size=512, act=None) + return fc2 + + +classdim = 10 +data_shape = [3, 32, 32] + +images = fluid.layers.data(name='pixel', shape=data_shape, dtype='float32') +label = fluid.layers.data(name='label', shape=[1], dtype='int64') + +net_type = "vgg" +if len(sys.argv) >= 2: + net_type = sys.argv[1] + +if net_type == "vgg": + print("train vgg net") + net = vgg16_bn_drop(images) +elif net_type == "resnet": + print("train resnet") + net = resnet_cifar10(images, 32) +else: + raise ValueError("%s network is not supported" % net_type) + +predict = fluid.layers.fc(input=net, size=classdim, act='softmax') +cost = fluid.layers.cross_entropy(input=predict, label=label) +avg_cost = fluid.layers.mean(x=cost) + +optimizer = fluid.optimizer.Adam(learning_rate=0.001) +optimize_ops, params_grads = optimizer.minimize(avg_cost) + +accuracy = fluid.evaluator.Accuracy(input=predict, label=label) + +train_reader = paddle.batch( + paddle.reader.shuffle( + paddle.dataset.cifar.train10(), buf_size=128 * 10), + batch_size=BATCH_SIZE) + +place = fluid.CPUPlace() +exe = fluid.Executor(place) + +t = fluid.DistributeTranspiler() +# all parameter server endpoints list for spliting parameters +pserver_endpoints = os.getenv("PSERVERS") +# server endpoint for current node +current_endpoint = os.getenv("SERVER_ENDPOINT") +# run as trainer or parameter server +training_role = os.getenv("TRAINING_ROLE", + "TRAINER") # get the training role: trainer/pserver +t.transpile( + optimize_ops, params_grads, pservers=pserver_endpoints, trainers=TRAINERS) + +if training_role == "PSERVER": + if not current_endpoint: + print("need env SERVER_ENDPOINT") + exit(1) + print("start pserver at:", current_endpoint) + pserver_prog = t.get_pserver_program(current_endpoint) + pserver_startup = t.get_startup_program(current_endpoint, pserver_prog) + exe.run(pserver_startup) + exe.run(pserver_prog) + print("pserver run end") +elif training_role == "TRAINER": + print("start trainer") + trainer_prog = t.get_trainer_program() + feeder = fluid.DataFeeder(place=place, feed_list=[images, label]) + exe.run(fluid.default_startup_program()) + for pass_id in range(PASS_NUM): + accuracy.reset(exe) + for data in train_reader(): + loss, acc = exe.run(trainer_prog, + feed=feeder.feed(data), + fetch_list=[avg_cost] + accuracy.metrics) + pass_acc = accuracy.eval(exe) + print("loss:" + str(loss) + " acc:" + str(acc) + " pass_acc:" + str( + pass_acc)) + # this model is slow, so if we can train two mini batch, we think it works properly. + print("trainer run end") +else: + print("environment var TRAINER_ROLE should be TRAINER os PSERVER") +exit(1) diff --git a/python/paddle/v2/fluid/tests/book_distribute/notest_dist_label_semantic_roles.py b/python/paddle/v2/fluid/tests/book_distribute/notest_dist_label_semantic_roles.py index 2b5a098ff2..08bb67b0a1 100644 --- a/python/paddle/v2/fluid/tests/book_distribute/notest_dist_label_semantic_roles.py +++ b/python/paddle/v2/fluid/tests/book_distribute/notest_dist_label_semantic_roles.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import math import numpy as np @@ -197,8 +198,9 @@ def main(): if not current_endpoint: print("need env SERVER_ENDPOINT") exit(1) - pserver_prog = t.get_pserver_program(current_endpoint, optimize_ops) - exe.run(fluid.default_startup_program()) + pserver_prog = t.get_pserver_program(current_endpoint) + pserver_startup = t.get_startup_program(current_endpoint, pserver_prog) + exe.run(pserver_startup) exe.run(pserver_prog) elif training_role == "TRAINER": trainer_prog = t.get_trainer_program() diff --git a/python/paddle/v2/fluid/tests/book_distribute/notest_dist_word2vec.py b/python/paddle/v2/fluid/tests/book_distribute/notest_dist_word2vec.py index dc04af5b7b..04b3113690 100644 --- a/python/paddle/v2/fluid/tests/book_distribute/notest_dist_word2vec.py +++ b/python/paddle/v2/fluid/tests/book_distribute/notest_dist_word2vec.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function import numpy as np import paddle.v2 as paddle @@ -87,8 +88,9 @@ if training_role == "PSERVER": if not current_endpoint: print("need env SERVER_ENDPOINT") exit(1) - pserver_prog = t.get_pserver_program(current_endpoint, optimize_ops) - exe.run(fluid.default_startup_program()) + pserver_prog = t.get_pserver_program(current_endpoint) + pserver_startup = t.get_startup_program(current_endpoint, pserver_prog) + exe.run(pserver_startup) exe.run(pserver_prog) elif training_role == "TRAINER": feeder = fluid.DataFeeder( diff --git a/python/paddle/v2/fluid/tests/book_distribute/notest_machine_translation.py b/python/paddle/v2/fluid/tests/book_distribute/notest_machine_translation.py new file mode 100644 index 0000000000..adeacd4adf --- /dev/null +++ b/python/paddle/v2/fluid/tests/book_distribute/notest_machine_translation.py @@ -0,0 +1,157 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import numpy as np +import paddle.v2 as paddle +import paddle.v2.fluid as fluid +import paddle.v2.fluid.core as core +import paddle.v2.fluid.framework as framework +import paddle.v2.fluid.layers as layers +from paddle.v2.fluid.executor import Executor +import os + +dict_size = 30000 +source_dict_dim = target_dict_dim = dict_size +src_dict, trg_dict = paddle.dataset.wmt14.get_dict(dict_size) +hidden_dim = 32 +word_dim = 16 +IS_SPARSE = True +batch_size = 10 +max_length = 50 +topk_size = 50 +trg_dic_size = 10000 + +decoder_size = hidden_dim + + +def encoder_decoder(): + # encoder + src_word_id = layers.data( + name="src_word_id", shape=[1], dtype='int64', lod_level=1) + src_embedding = layers.embedding( + input=src_word_id, + size=[dict_size, word_dim], + dtype='float32', + is_sparse=IS_SPARSE, + param_attr=fluid.ParamAttr(name='vemb')) + + fc1 = fluid.layers.fc(input=src_embedding, size=hidden_dim * 4, act='tanh') + lstm_hidden0, lstm_0 = layers.dynamic_lstm(input=fc1, size=hidden_dim * 4) + encoder_out = layers.sequence_last_step(input=lstm_hidden0) + + # decoder + trg_language_word = layers.data( + name="target_language_word", shape=[1], dtype='int64', lod_level=1) + trg_embedding = layers.embedding( + input=trg_language_word, + size=[dict_size, word_dim], + dtype='float32', + is_sparse=IS_SPARSE, + param_attr=fluid.ParamAttr(name='vemb')) + + rnn = fluid.layers.DynamicRNN() + with rnn.block(): + current_word = rnn.step_input(trg_embedding) + mem = rnn.memory(init=encoder_out) + fc1 = fluid.layers.fc(input=[current_word, mem], + size=decoder_size, + act='tanh') + out = fluid.layers.fc(input=fc1, size=target_dict_dim, act='softmax') + rnn.update_memory(mem, fc1) + rnn.output(out) + + return rnn() + + +def to_lodtensor(data, place): + seq_lens = [len(seq) for seq in data] + cur_len = 0 + lod = [cur_len] + for l in seq_lens: + cur_len += l + lod.append(cur_len) + flattened_data = np.concatenate(data, axis=0).astype("int64") + flattened_data = flattened_data.reshape([len(flattened_data), 1]) + res = core.LoDTensor() + res.set(flattened_data, place) + res.set_lod([lod]) + return res + + +def main(): + rnn_out = encoder_decoder() + label = layers.data( + name="target_language_next_word", shape=[1], dtype='int64', lod_level=1) + cost = layers.cross_entropy(input=rnn_out, label=label) + avg_cost = fluid.layers.mean(x=cost) + + optimizer = fluid.optimizer.Adagrad(learning_rate=1e-4) + optimize_ops, params_grads = optimizer.minimize(avg_cost) + + train_data = paddle.batch( + paddle.reader.shuffle( + paddle.dataset.wmt14.train(dict_size), buf_size=1000), + batch_size=batch_size) + + place = core.CPUPlace() + exe = Executor(place) + + t = fluid.DistributeTranspiler() + # all parameter server endpoints list for spliting parameters + pserver_endpoints = os.getenv("PSERVERS") + # server endpoint for current node + current_endpoint = os.getenv("SERVER_ENDPOINT") + # run as trainer or parameter server + training_role = os.getenv( + "TRAINING_ROLE", "TRAINER") # get the training role: trainer/pserver + t.transpile( + optimize_ops, params_grads, pservers=pserver_endpoints, trainers=2) + + if training_role == "PSERVER": + if not current_endpoint: + print("need env SERVER_ENDPOINT") + exit(1) + pserver_prog = t.get_pserver_program(current_endpoint) + pserver_startup = t.get_startup_program(current_endpoint, pserver_prog) + exe.run(pserver_startup) + exe.run(pserver_prog) + elif training_role == "TRAINER": + trainer_prog = t.get_trainer_program() + exe.run(framework.default_startup_program()) + + batch_id = 0 + for pass_id in xrange(2): + for data in train_data(): + word_data = to_lodtensor(map(lambda x: x[0], data), place) + trg_word = to_lodtensor(map(lambda x: x[1], data), place) + trg_word_next = to_lodtensor(map(lambda x: x[2], data), place) + outs = exe.run(trainer_prog, + feed={ + 'src_word_id': word_data, + 'target_language_word': trg_word, + 'target_language_next_word': trg_word_next + }, + fetch_list=[avg_cost]) + avg_cost_val = np.array(outs[0]) + print('pass_id=' + str(pass_id) + ' batch=' + str(batch_id) + + " avg_cost=" + str(avg_cost_val)) + if batch_id > 3: + exit(0) + batch_id += 1 + else: + print("environment var TRAINER_ROLE should be TRAINER os PSERVER") + + +if __name__ == '__main__': + main() diff --git a/python/paddle/v2/fluid/tests/book_distribute/notest_recognize_digits_conv_dist.py b/python/paddle/v2/fluid/tests/book_distribute/notest_recognize_digits_conv_dist.py index 27512c4f78..f18ca05c78 100644 --- a/python/paddle/v2/fluid/tests/book_distribute/notest_recognize_digits_conv_dist.py +++ b/python/paddle/v2/fluid/tests/book_distribute/notest_recognize_digits_conv_dist.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function import numpy as np import paddle.v2 as paddle @@ -52,26 +53,27 @@ train_reader = paddle.batch( place = fluid.CPUPlace() exe = fluid.Executor(place) -t = fluid.DistributeTranspiler() -# all parameter server endpoints list for spliting parameters -pserver_endpoints = os.getenv("PSERVERS") -# server endpoint for current node -current_endpoint = os.getenv("SERVER_ENDPOINT") -# run as trainer or parameter server +pserver_endpoints = os.getenv("PSERVERS") # all pserver endpoints +trainers = int(os.getenv("TRAINERS")) # total trainer count +current_endpoint = os.getenv("SERVER_ENDPOINT") # current pserver endpoint training_role = os.getenv("TRAINING_ROLE", "TRAINER") # get the training role: trainer/pserver -t.transpile(optimize_ops, params_grads, pservers=pserver_endpoints, trainers=2) +t = fluid.DistributeTranspiler() +t.transpile( + optimize_ops, params_grads, pservers=pserver_endpoints, trainers=trainers) if training_role == "PSERVER": if not current_endpoint: print("need env SERVER_ENDPOINT") exit(1) - pserver_prog = t.get_pserver_program(current_endpoint, optimize_ops) - exe.run(fluid.default_startup_program()) + pserver_prog = t.get_pserver_program(current_endpoint) + pserver_startup = t.get_startup_program(current_endpoint, pserver_prog) + exe.run(pserver_startup) exe.run(pserver_prog) elif training_role == "TRAINER": trainer_prog = t.get_trainer_program() feeder = fluid.DataFeeder(feed_list=[images, label], place=place) + # TODO(typhoonzero): change trainer startup program to fetch parameters from pserver exe.run(fluid.default_startup_program()) for pass_id in range(PASS_NUM): diff --git a/python/paddle/v2/fluid/tests/book_distribute/notest_recognize_digits_mlp_dist.py b/python/paddle/v2/fluid/tests/book_distribute/notest_recognize_digits_mlp_dist.py new file mode 100644 index 0000000000..7733248cb4 --- /dev/null +++ b/python/paddle/v2/fluid/tests/book_distribute/notest_recognize_digits_mlp_dist.py @@ -0,0 +1,89 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function +import numpy as np +import paddle.v2 as paddle +import paddle.v2.fluid as fluid +import os + +BATCH_SIZE = 128 +PASS_NUM = 100 + +images = fluid.layers.data(name='x', shape=[784], dtype='float32') + +# TODO(aroraabhinav) Add regularization and error clipping after +# Issue 7432(https://github.com/PaddlePaddle/Paddle/issues/7432) is resolved. +hidden1 = fluid.layers.fc(input=images, size=128, act='relu') +hidden2 = fluid.layers.fc(input=hidden1, size=64, act='relu') +predict = fluid.layers.fc(input=hidden2, size=10, act='softmax') + +label = fluid.layers.data(name='y', shape=[1], dtype='int64') + +cost = fluid.layers.cross_entropy(input=predict, label=label) +avg_cost = fluid.layers.mean(x=cost) + +optimizer = fluid.optimizer.Momentum(learning_rate=0.001, momentum=0.9) +optimize_ops, params_grads = optimizer.minimize(avg_cost) + +accuracy = fluid.evaluator.Accuracy(input=predict, label=label) + +train_reader = paddle.batch( + paddle.reader.shuffle( + paddle.dataset.mnist.train(), buf_size=8192), + batch_size=BATCH_SIZE) + +place = fluid.CPUPlace() +exe = fluid.Executor(place) + +t = fluid.DistributeTranspiler() +# all parameter server endpoints list for spliting parameters +pserver_endpoints = os.getenv("PSERVERS") +# server endpoint for current node +current_endpoint = os.getenv("SERVER_ENDPOINT") +# run as trainer or parameter server +training_role = os.getenv("TRAINING_ROLE", + "TRAINER") # get the training role: trainer/pserver +t.transpile(optimize_ops, params_grads, pservers=pserver_endpoints, trainers=2) + +if training_role == "PSERVER": + if not current_endpoint: + print("need env SERVER_ENDPOINT") + exit(1) + pserver_prog = t.get_pserver_program(current_endpoint) + pserver_startup = t.get_startup_program(current_endpoint, pserver_prog) + exe.run(pserver_startup) + exe.run(pserver_prog) +elif training_role == "TRAINER": + trainer_prog = t.get_trainer_program() + feeder = fluid.DataFeeder(feed_list=[images, label], place=place) + exe.run(fluid.default_startup_program()) + + for pass_id in range(PASS_NUM): + accuracy.reset(exe) + batch_id = 0 + for data in train_reader(): + loss, acc = exe.run(trainer_prog, + feed=feeder.feed(data), + fetch_list=[avg_cost] + accuracy.metrics) + pass_acc = accuracy.eval(exe) + if batch_id % 100 == 0: + print("batch_id %d, loss: %f, acc: %f" % + (batch_id, loss, pass_acc)) + batch_id += 1 + + pass_acc = accuracy.eval(exe) + print("pass_id=" + str(pass_id) + " pass_acc=" + str(pass_acc)) +else: + print("environment var TRAINER_ROLE should be TRAINER os PSERVER") diff --git a/python/paddle/v2/fluid/tests/book_distribute/notest_understand_sentiment_conv_dist.py b/python/paddle/v2/fluid/tests/book_distribute/notest_understand_sentiment_conv_dist.py index 74f20f3f4c..49f26d6b69 100644 --- a/python/paddle/v2/fluid/tests/book_distribute/notest_understand_sentiment_conv_dist.py +++ b/python/paddle/v2/fluid/tests/book_distribute/notest_understand_sentiment_conv_dist.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function import os import numpy as np @@ -92,15 +93,16 @@ def main(): t.transpile( optimize_ops, params_grads, pservers=pserver_endpoints, trainers=2) - exe.run(fluid.default_startup_program()) - if training_role == "PSERVER": if not current_endpoint: print("need env SERVER_ENDPOINT") exit(1) - pserver_prog = t.get_pserver_program(current_endpoint, optimize_ops) + pserver_prog = t.get_pserver_program(current_endpoint) + pserver_startup = t.get_startup_program(current_endpoint, pserver_prog) + exe.run(pserver_startup) exe.run(pserver_prog) elif training_role == "TRAINER": + exe.run(fluid.default_startup_program()) trainer_prog = t.get_trainer_program() feeder = fluid.DataFeeder(feed_list=[data, label], place=place) diff --git a/python/paddle/v2/fluid/tests/book_distribute/test_split_var.py b/python/paddle/v2/fluid/tests/book_distribute/test_split_var.py index f979f642d8..4a50049bf2 100644 --- a/python/paddle/v2/fluid/tests/book_distribute/test_split_var.py +++ b/python/paddle/v2/fluid/tests/book_distribute/test_split_var.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import math import unittest from paddle.v2.fluid.distribute_transpiler import split_dense_variable diff --git a/python/paddle/v2/fluid/tests/book_memory_optimization/CMakeLists.txt b/python/paddle/v2/fluid/tests/book_memory_optimization/CMakeLists.txt new file mode 100644 index 0000000000..213af5d27f --- /dev/null +++ b/python/paddle/v2/fluid/tests/book_memory_optimization/CMakeLists.txt @@ -0,0 +1,11 @@ +file(GLOB TEST_OPS RELATIVE "${CMAKE_CURRENT_SOURCE_DIR}" "test_*.py") +string(REPLACE ".py" "" TEST_OPS "${TEST_OPS}") + +list(REMOVE_ITEM TEST_OPS test_memopt_image_classification_train) +py_test(test_memopt_image_classification_train_resnet SRCS test_memopt_image_classification_train.py ARGS resnet) +py_test(test_memopt_image_classification_train_vgg SRCS test_memopt_image_classification_train.py ARGS vgg) + +# default test +foreach(src ${TEST_OPS}) + py_test(${src} SRCS ${src}.py) +endforeach() diff --git a/python/paddle/v2/fluid/tests/book_memory_optimization/test_memopt_fit_a_line.py b/python/paddle/v2/fluid/tests/book_memory_optimization/test_memopt_fit_a_line.py new file mode 100644 index 0000000000..7ad5e2c594 --- /dev/null +++ b/python/paddle/v2/fluid/tests/book_memory_optimization/test_memopt_fit_a_line.py @@ -0,0 +1,66 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import numpy as np +import paddle.v2 as paddle +import paddle.v2.fluid as fluid + +# need to fix random seed and training data to compare the loss +# value accurately calculated by the default and the memory optimization +# version. +fluid.default_startup_program().random_seed = 111 + +x = fluid.layers.data(name='x', shape=[13], dtype='float32') + +y_predict = fluid.layers.fc(input=x, size=1, act=None) + +y = fluid.layers.data(name='y', shape=[1], dtype='float32') + +cost = fluid.layers.square_error_cost(input=y_predict, label=y) +avg_cost = fluid.layers.mean(x=cost) + +sgd_optimizer = fluid.optimizer.SGD(learning_rate=0.1) +sgd_optimizer.minimize(avg_cost) + +fluid.memory_optimize(fluid.default_main_program()) + +BATCH_SIZE = 200 + +# fix the order of training data +train_reader = paddle.batch( + paddle.dataset.uci_housing.train(), batch_size=BATCH_SIZE) + +# train_reader = paddle.batch( +# paddle.reader.shuffle( +# paddle.dataset.uci_housing.train(), buf_size=500), +# batch_size=BATCH_SIZE) + +place = fluid.CPUPlace() +feeder = fluid.DataFeeder(place=place, feed_list=[x, y]) +exe = fluid.Executor(place) + +exe.run(fluid.default_startup_program()) + +PASS_NUM = 100 +for pass_id in range(PASS_NUM): + fluid.io.save_persistables(exe, "./fit_a_line.model/") + fluid.io.load_persistables(exe, "./fit_a_line.model/") + for data in train_reader(): + avg_loss_value, = exe.run(fluid.default_main_program(), + feed=feeder.feed(data), + fetch_list=[avg_cost]) + + if avg_loss_value[0] < 10.0: + exit(0) # if avg cost less than 10.0, we think our code is good. +exit(1) diff --git a/python/paddle/v2/fluid/tests/book_memory_optimization/test_memopt_image_classification_train.py b/python/paddle/v2/fluid/tests/book_memory_optimization/test_memopt_image_classification_train.py new file mode 100644 index 0000000000..26673afd83 --- /dev/null +++ b/python/paddle/v2/fluid/tests/book_memory_optimization/test_memopt_image_classification_train.py @@ -0,0 +1,158 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import print_function + +import sys + +import paddle.v2 as paddle +import paddle.v2.fluid as fluid + +# need to fix random seed and training data to compare the loss +# value accurately calculated by the default and the memory optimization +# version. +fluid.default_startup_program().random_seed = 111 + + +def resnet_cifar10(input, depth=32): + def conv_bn_layer(input, ch_out, filter_size, stride, padding, act='relu'): + tmp = fluid.layers.conv2d( + input=input, + filter_size=filter_size, + num_filters=ch_out, + stride=stride, + padding=padding, + act=None, + bias_attr=False) + return fluid.layers.batch_norm(input=tmp, act=act) + + def shortcut(input, ch_in, ch_out, stride): + if ch_in != ch_out: + return conv_bn_layer(input, ch_out, 1, stride, 0, None) + else: + return input + + def basicblock(input, ch_in, ch_out, stride): + tmp = conv_bn_layer(input, ch_out, 3, stride, 1) + tmp = conv_bn_layer(tmp, ch_out, 3, 1, 1, act=None) + short = shortcut(input, ch_in, ch_out, stride) + return fluid.layers.elementwise_add(x=tmp, y=short, act='relu') + + def layer_warp(block_func, input, ch_in, ch_out, count, stride): + tmp = block_func(input, ch_in, ch_out, stride) + for i in range(1, count): + tmp = block_func(tmp, ch_out, ch_out, 1) + return tmp + + assert (depth - 2) % 6 == 0 + n = (depth - 2) / 6 + conv1 = conv_bn_layer( + input=input, ch_out=16, filter_size=3, stride=1, padding=1) + res1 = layer_warp(basicblock, conv1, 16, 16, n, 1) + res2 = layer_warp(basicblock, res1, 16, 32, n, 2) + res3 = layer_warp(basicblock, res2, 32, 64, n, 2) + pool = fluid.layers.pool2d( + input=res3, pool_size=8, pool_type='avg', pool_stride=1) + return pool + + +def vgg16_bn_drop(input): + def conv_block(input, num_filter, groups, dropouts): + return fluid.nets.img_conv_group( + input=input, + pool_size=2, + pool_stride=2, + conv_num_filter=[num_filter] * groups, + conv_filter_size=3, + conv_act='relu', + conv_with_batchnorm=True, + conv_batchnorm_drop_rate=dropouts, + pool_type='max') + + conv1 = conv_block(input, 64, 2, [0.3, 0]) + conv2 = conv_block(conv1, 128, 2, [0.4, 0]) + conv3 = conv_block(conv2, 256, 3, [0.4, 0.4, 0]) + conv4 = conv_block(conv3, 512, 3, [0.4, 0.4, 0]) + conv5 = conv_block(conv4, 512, 3, [0.4, 0.4, 0]) + + drop = fluid.layers.dropout(x=conv5, dropout_prob=0.5) + fc1 = fluid.layers.fc(input=drop, size=512, act=None) + bn = fluid.layers.batch_norm(input=fc1, act='relu') + drop2 = fluid.layers.dropout(x=bn, dropout_prob=0.5) + fc2 = fluid.layers.fc(input=drop2, size=512, act=None) + return fc2 + + +classdim = 10 +data_shape = [3, 32, 32] + +images = fluid.layers.data(name='pixel', shape=data_shape, dtype='float32') +label = fluid.layers.data(name='label', shape=[1], dtype='int64') + +net_type = "vgg" +if len(sys.argv) >= 2: + net_type = sys.argv[1] + +if net_type == "vgg": + print("train vgg net") + net = vgg16_bn_drop(images) +elif net_type == "resnet": + print("train resnet") + net = resnet_cifar10(images, 32) +else: + raise ValueError("%s network is not supported" % net_type) + +predict = fluid.layers.fc(input=net, size=classdim, act='softmax') +cost = fluid.layers.cross_entropy(input=predict, label=label) +avg_cost = fluid.layers.mean(x=cost) + +optimizer = fluid.optimizer.Adam(learning_rate=0.001) +opts = optimizer.minimize(avg_cost) + +accuracy = fluid.evaluator.Accuracy(input=predict, label=label) + +fluid.memory_optimize(fluid.default_main_program()) + +BATCH_SIZE = 128 +PASS_NUM = 1 + +# fix the order of training data +train_reader = paddle.batch( + paddle.dataset.cifar.train10(), batch_size=BATCH_SIZE) + +# train_reader = paddle.batch( +# paddle.reader.shuffle( +# paddle.dataset.cifar.train10(), buf_size=128 * 10), +# batch_size=BATCH_SIZE) + +place = fluid.CPUPlace() +exe = fluid.Executor(place) +feeder = fluid.DataFeeder(place=place, feed_list=[images, label]) +exe.run(fluid.default_startup_program()) + +i = 0 +for pass_id in range(PASS_NUM): + accuracy.reset(exe) + for data in train_reader(): + loss, acc = exe.run(fluid.default_main_program(), + feed=feeder.feed(data), + fetch_list=[avg_cost] + accuracy.metrics) + pass_acc = accuracy.eval(exe) + print("loss:" + str(loss) + " acc:" + str(acc) + " pass_acc:" + str( + pass_acc)) + # this model is slow, so if we can train two mini batch, we think it works properly. + if i > 2: + exit(0) + i += 1 +exit(1) diff --git a/python/paddle/v2/fluid/tests/book_memory_optimization/test_memopt_machine_translation.py b/python/paddle/v2/fluid/tests/book_memory_optimization/test_memopt_machine_translation.py new file mode 100644 index 0000000000..ffd53e7a78 --- /dev/null +++ b/python/paddle/v2/fluid/tests/book_memory_optimization/test_memopt_machine_translation.py @@ -0,0 +1,144 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import numpy as np +import paddle.v2 as paddle +import paddle.v2.fluid as fluid +import paddle.v2.fluid.core as core +import paddle.v2.fluid.framework as framework +import paddle.v2.fluid.layers as layers +from paddle.v2.fluid.executor import Executor + +dict_size = 30000 +source_dict_dim = target_dict_dim = dict_size +src_dict, trg_dict = paddle.dataset.wmt14.get_dict(dict_size) +hidden_dim = 32 +word_dim = 16 +IS_SPARSE = True +batch_size = 10 +max_length = 50 +topk_size = 50 +trg_dic_size = 10000 + +decoder_size = hidden_dim + +# need to fix random seed and training data to compare the loss +# value accurately calculated by the default and the memory optimization +# version. +fluid.default_startup_program().random_seed = 111 + + +def encoder_decoder(): + # encoder + src_word_id = layers.data( + name="src_word_id", shape=[1], dtype='int64', lod_level=1) + src_embedding = layers.embedding( + input=src_word_id, + size=[dict_size, word_dim], + dtype='float32', + is_sparse=IS_SPARSE, + param_attr=fluid.ParamAttr(name='vemb')) + + fc1 = fluid.layers.fc(input=src_embedding, size=hidden_dim * 4, act='tanh') + lstm_hidden0, lstm_0 = layers.dynamic_lstm(input=fc1, size=hidden_dim * 4) + encoder_out = layers.sequence_last_step(input=lstm_hidden0) + + # decoder + trg_language_word = layers.data( + name="target_language_word", shape=[1], dtype='int64', lod_level=1) + trg_embedding = layers.embedding( + input=trg_language_word, + size=[dict_size, word_dim], + dtype='float32', + is_sparse=IS_SPARSE, + param_attr=fluid.ParamAttr(name='vemb')) + + rnn = fluid.layers.DynamicRNN() + with rnn.block(): + current_word = rnn.step_input(trg_embedding) + mem = rnn.memory(init=encoder_out) + fc1 = fluid.layers.fc(input=[current_word, mem], + size=decoder_size, + act='tanh') + out = fluid.layers.fc(input=fc1, size=target_dict_dim, act='softmax') + rnn.update_memory(mem, fc1) + rnn.output(out) + + return rnn() + + +def to_lodtensor(data, place): + seq_lens = [len(seq) for seq in data] + cur_len = 0 + lod = [cur_len] + for l in seq_lens: + cur_len += l + lod.append(cur_len) + flattened_data = np.concatenate(data, axis=0).astype("int64") + flattened_data = flattened_data.reshape([len(flattened_data), 1]) + res = core.LoDTensor() + res.set(flattened_data, place) + res.set_lod([lod]) + return res + + +def main(): + rnn_out = encoder_decoder() + label = layers.data( + name="target_language_next_word", shape=[1], dtype='int64', lod_level=1) + cost = layers.cross_entropy(input=rnn_out, label=label) + avg_cost = fluid.layers.mean(x=cost) + + optimizer = fluid.optimizer.Adagrad(learning_rate=1e-4) + optimizer.minimize(avg_cost) + + fluid.memory_optimize(fluid.default_main_program()) + + # fix the order of training data + train_data = paddle.batch( + paddle.dataset.wmt14.train(dict_size), batch_size=batch_size) + + # train_data = paddle.batch( + # paddle.reader.shuffle( + # paddle.dataset.wmt14.train(dict_size), buf_size=1000), + # batch_size=batch_size) + + place = core.CPUPlace() + exe = Executor(place) + + exe.run(framework.default_startup_program()) + + batch_id = 0 + for pass_id in xrange(10): + for data in train_data(): + word_data = to_lodtensor(map(lambda x: x[0], data), place) + trg_word = to_lodtensor(map(lambda x: x[1], data), place) + trg_word_next = to_lodtensor(map(lambda x: x[2], data), place) + outs = exe.run(fluid.default_main_program(), + feed={ + 'src_word_id': word_data, + 'target_language_word': trg_word, + 'target_language_next_word': trg_word_next + }, + fetch_list=[avg_cost]) + avg_cost_val = np.array(outs[0]) + print('pass_id=' + str(pass_id) + ' batch=' + str(batch_id) + + " avg_cost=" + str(avg_cost_val)) + if batch_id > 2: + exit(0) + batch_id += 1 + + +if __name__ == '__main__': + main() diff --git a/python/paddle/v2/fluid/tests/decorators.py b/python/paddle/v2/fluid/tests/decorators.py index 3b314a15e1..0a8a2ccc4d 100644 --- a/python/paddle/v2/fluid/tests/decorators.py +++ b/python/paddle/v2/fluid/tests/decorators.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid as fluid __all__ = ['many_times', 'prog_scope'] diff --git a/python/paddle/v2/fluid/tests/demo/fc_gan.py b/python/paddle/v2/fluid/tests/demo/fc_gan.py index 5f9e8f9507..0652c8134d 100644 --- a/python/paddle/v2/fluid/tests/demo/fc_gan.py +++ b/python/paddle/v2/fluid/tests/demo/fc_gan.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import errno import math import os diff --git a/python/paddle/v2/fluid/tests/op_test.py b/python/paddle/v2/fluid/tests/op_test.py index c3b2220e6e..56f54de86f 100644 --- a/python/paddle/v2/fluid/tests/op_test.py +++ b/python/paddle/v2/fluid/tests/op_test.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np import random diff --git a/python/paddle/v2/fluid/tests/test_accuracy_op.py b/python/paddle/v2/fluid/tests/test_accuracy_op.py index a20abac8a0..ac3f3bdff4 100644 --- a/python/paddle/v2/fluid/tests/test_accuracy_op.py +++ b/python/paddle/v2/fluid/tests/test_accuracy_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_activation_op.py b/python/paddle/v2/fluid/tests/test_activation_op.py index a6a6eb9d63..18605e6065 100644 --- a/python/paddle/v2/fluid/tests/test_activation_op.py +++ b/python/paddle/v2/fluid/tests/test_activation_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_adadelta_op.py b/python/paddle/v2/fluid/tests/test_adadelta_op.py index 8de6a1f9a9..949318d007 100644 --- a/python/paddle/v2/fluid/tests/test_adadelta_op.py +++ b/python/paddle/v2/fluid/tests/test_adadelta_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_adagrad_op.py b/python/paddle/v2/fluid/tests/test_adagrad_op.py index 30ed092d48..86b0567ce1 100644 --- a/python/paddle/v2/fluid/tests/test_adagrad_op.py +++ b/python/paddle/v2/fluid/tests/test_adagrad_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np import paddle.v2.fluid.core as core diff --git a/python/paddle/v2/fluid/tests/test_adam_op.py b/python/paddle/v2/fluid/tests/test_adam_op.py index 32d00cf702..10580adca7 100644 --- a/python/paddle/v2/fluid/tests/test_adam_op.py +++ b/python/paddle/v2/fluid/tests/test_adam_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_adamax_op.py b/python/paddle/v2/fluid/tests/test_adamax_op.py index 35b2bc47ed..e285c454f0 100644 --- a/python/paddle/v2/fluid/tests/test_adamax_op.py +++ b/python/paddle/v2/fluid/tests/test_adamax_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_array_read_write_op.py b/python/paddle/v2/fluid/tests/test_array_read_write_op.py index 8775cd4f9f..a32c24486e 100644 --- a/python/paddle/v2/fluid/tests/test_array_read_write_op.py +++ b/python/paddle/v2/fluid/tests/test_array_read_write_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.core as core import paddle.v2.fluid.layers as layers diff --git a/python/paddle/v2/fluid/tests/test_assign_op.py b/python/paddle/v2/fluid/tests/test_assign_op.py index 4ac173c96b..fbbfe0d02c 100644 --- a/python/paddle/v2/fluid/tests/test_assign_op.py +++ b/python/paddle/v2/fluid/tests/test_assign_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import op_test import numpy import unittest diff --git a/python/paddle/v2/fluid/tests/test_assign_value_op.py b/python/paddle/v2/fluid/tests/test_assign_value_op.py index f4e2ff9bde..93970f863b 100644 --- a/python/paddle/v2/fluid/tests/test_assign_value_op.py +++ b/python/paddle/v2/fluid/tests/test_assign_value_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid as fluid import paddle.v2.fluid.layers as layers import op_test diff --git a/python/paddle/v2/fluid/tests/test_auc_op.py b/python/paddle/v2/fluid/tests/test_auc_op.py index aa74d224d5..5e4caedf5d 100644 --- a/python/paddle/v2/fluid/tests/test_auc_op.py +++ b/python/paddle/v2/fluid/tests/test_auc_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_batch_norm_op.py b/python/paddle/v2/fluid/tests/test_batch_norm_op.py index fe82b7d7f3..371bd42678 100644 --- a/python/paddle/v2/fluid/tests/test_batch_norm_op.py +++ b/python/paddle/v2/fluid/tests/test_batch_norm_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_beam_search_decode_op.py b/python/paddle/v2/fluid/tests/test_beam_search_decode_op.py index 9ef6e08cc1..3674784985 100644 --- a/python/paddle/v2/fluid/tests/test_beam_search_decode_op.py +++ b/python/paddle/v2/fluid/tests/test_beam_search_decode_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_beam_search_op.py b/python/paddle/v2/fluid/tests/test_beam_search_op.py index f31c737ba6..4da463df26 100644 --- a/python/paddle/v2/fluid/tests/test_beam_search_op.py +++ b/python/paddle/v2/fluid/tests/test_beam_search_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import logging from paddle.v2.fluid.op import Operator, DynamicRecurrentOp import paddle.v2.fluid.core as core diff --git a/python/paddle/v2/fluid/tests/test_bilinear_tensor_product_op.py b/python/paddle/v2/fluid/tests/test_bilinear_tensor_product_op.py index aed1bf4d3a..4b03f512c2 100644 --- a/python/paddle/v2/fluid/tests/test_bilinear_tensor_product_op.py +++ b/python/paddle/v2/fluid/tests/test_bilinear_tensor_product_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_bipartite_match_op.py b/python/paddle/v2/fluid/tests/test_bipartite_match_op.py new file mode 100644 index 0000000000..7413829897 --- /dev/null +++ b/python/paddle/v2/fluid/tests/test_bipartite_match_op.py @@ -0,0 +1,100 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +#Licensed under the Apache License, Version 2.0 (the "License"); +#you may not use this file except in compliance with the License. +#You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +#Unless required by applicable law or agreed to in writing, software +#distributed under the License is distributed on an "AS IS" BASIS, +#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +#See the License for the specific language governing permissions and +#limitations under the License. +import unittest +import numpy as np +from op_test import OpTest + + +def bipartite_match(distance, match_indices, match_dist): + """Bipartite Matching algorithm. + Arg: + distance (numpy.array) : The distance of two entries with shape [M, N]. + match_indices (numpy.array): the matched indices from column to row + with shape [1, N], it must be initialized to -1. + match_dist (numpy.array): The matched distance from column to row + with shape [1, N], it must be initialized to 0. + """ + match_pair = [] + row, col = distance.shape + for i in range(row): + for j in range(col): + match_pair.append((i, j, distance[i][j])) + + match_sorted = sorted(match_pair, key=lambda tup: tup[2], reverse=True) + + row_indices = -1 * np.ones((row, ), dtype=np.int) + + idx = 0 + for i, j, dist in match_sorted: + if idx >= row: + break + if match_indices[j] == -1 and row_indices[i] == -1 and dist > 0: + match_indices[j] = i + row_indices[i] = j + match_dist[j] = dist + idx += 1 + + +def batch_bipartite_match(distance, lod): + """Bipartite Matching algorithm for batch input. + Arg: + distance (numpy.array) : The distance of two entries with shape [M, N]. + lod (list of int): The offsets of each input in this batch. + """ + n = len(lod) - 1 + m = distance.shape[1] + match_indices = -1 * np.ones((n, m), dtype=np.int) + match_dist = np.zeros((n, m), dtype=np.float32) + for i in range(len(lod) - 1): + bipartite_match(distance[lod[i]:lod[i + 1], :], match_indices[i, :], + match_dist[i, :]) + return match_indices, match_dist + + +class TestBipartiteMatchOpForWithLoD(OpTest): + def setUp(self): + self.op_type = 'bipartite_match' + lod = [[0, 5, 11, 23]] + dist = np.random.random((23, 217)).astype('float32') + match_indices, match_dist = batch_bipartite_match(dist, lod[0]) + + self.inputs = {'DistMat': (dist, lod)} + self.outputs = { + 'ColToRowMatchIndices': (match_indices), + 'ColToRowMatchDis': (match_dist), + } + + def test_check_output(self): + self.check_output() + + +class TestBipartiteMatchOpWithoutLoD(OpTest): + def setUp(self): + self.op_type = 'bipartite_match' + lod = [[0, 8]] + dist = np.random.random((8, 17)).astype('float32') + match_indices, match_dist = batch_bipartite_match(dist, lod[0]) + + self.inputs = {'DistMat': dist} + self.outputs = { + 'ColToRowMatchIndices': match_indices, + 'ColToRowMatchDis': match_dist, + } + + def test_check_output(self): + self.check_output() + + +if __name__ == '__main__': + unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_calc_gradient.py b/python/paddle/v2/fluid/tests/test_calc_gradient.py index b99eeb09cd..c773e81768 100644 --- a/python/paddle/v2/fluid/tests/test_calc_gradient.py +++ b/python/paddle/v2/fluid/tests/test_calc_gradient.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid as fluid diff --git a/python/paddle/v2/fluid/tests/test_cast_op.py b/python/paddle/v2/fluid/tests/test_cast_op.py index 3795b96dbf..327b246ed8 100644 --- a/python/paddle/v2/fluid/tests/test_cast_op.py +++ b/python/paddle/v2/fluid/tests/test_cast_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import op_test import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_chunk_eval_op.py b/python/paddle/v2/fluid/tests/test_chunk_eval_op.py index 59ef2bbb2f..5c3efe9baa 100644 --- a/python/paddle/v2/fluid/tests/test_chunk_eval_op.py +++ b/python/paddle/v2/fluid/tests/test_chunk_eval_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_clip_by_norm_op.py b/python/paddle/v2/fluid/tests/test_clip_by_norm_op.py index 5147e75046..b30f321c79 100644 --- a/python/paddle/v2/fluid/tests/test_clip_by_norm_op.py +++ b/python/paddle/v2/fluid/tests/test_clip_by_norm_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_clip_op.py b/python/paddle/v2/fluid/tests/test_clip_op.py index 3338dc61b3..ef0b75e286 100644 --- a/python/paddle/v2/fluid/tests/test_clip_op.py +++ b/python/paddle/v2/fluid/tests/test_clip_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_compare_op.py b/python/paddle/v2/fluid/tests/test_compare_op.py index fbf8921e40..c9be80fc45 100644 --- a/python/paddle/v2/fluid/tests/test_compare_op.py +++ b/python/paddle/v2/fluid/tests/test_compare_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import op_test import unittest import numpy @@ -37,8 +38,6 @@ def create_test_class(op_type, typename, callback): for _type_name in {'float32', 'float64', 'int32', 'int64'}: create_test_class('less_than', _type_name, lambda _a, _b: _a < _b) create_test_class('less_equal', _type_name, lambda _a, _b: _a <= _b) - create_test_class('greater_than', _type_name, lambda _a, _b: _a > _b) - create_test_class('greater_equal', _type_name, lambda _a, _b: _a >= _b) create_test_class('equal', _type_name, lambda _a, _b: _a == _b) if __name__ == '__main__': diff --git a/python/paddle/v2/fluid/tests/test_concat_op.py b/python/paddle/v2/fluid/tests/test_concat_op.py index 3e413e1540..ea0a95ebec 100644 --- a/python/paddle/v2/fluid/tests/test_concat_op.py +++ b/python/paddle/v2/fluid/tests/test_concat_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_cond_op.py b/python/paddle/v2/fluid/tests/test_cond_op.py index 5312fa51a2..4b7ca0963e 100644 --- a/python/paddle/v2/fluid/tests/test_cond_op.py +++ b/python/paddle/v2/fluid/tests/test_cond_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import logging import paddle.v2.fluid.core as core import unittest diff --git a/python/paddle/v2/fluid/tests/test_conditional_block.py b/python/paddle/v2/fluid/tests/test_conditional_block.py index 965e7d39c8..5ee729cfee 100644 --- a/python/paddle/v2/fluid/tests/test_conditional_block.py +++ b/python/paddle/v2/fluid/tests/test_conditional_block.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.layers as layers import paddle.v2.fluid.core as core diff --git a/python/paddle/v2/fluid/tests/test_const_value.py b/python/paddle/v2/fluid/tests/test_const_value.py index 190bfa779b..d5b7cfded1 100644 --- a/python/paddle/v2/fluid/tests/test_const_value.py +++ b/python/paddle/v2/fluid/tests/test_const_value.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.framework as framework diff --git a/python/paddle/v2/fluid/tests/test_conv2d_op.py b/python/paddle/v2/fluid/tests/test_conv2d_op.py index 8b03a3ae16..24de74d730 100644 --- a/python/paddle/v2/fluid/tests/test_conv2d_op.py +++ b/python/paddle/v2/fluid/tests/test_conv2d_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_conv2d_transpose_op.py b/python/paddle/v2/fluid/tests/test_conv2d_transpose_op.py index b7b86c58fb..0c76e222c9 100644 --- a/python/paddle/v2/fluid/tests/test_conv2d_transpose_op.py +++ b/python/paddle/v2/fluid/tests/test_conv2d_transpose_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_conv3d_op.py b/python/paddle/v2/fluid/tests/test_conv3d_op.py index 5b0397cc69..8121e32865 100644 --- a/python/paddle/v2/fluid/tests/test_conv3d_op.py +++ b/python/paddle/v2/fluid/tests/test_conv3d_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_conv3d_transpose_op.py b/python/paddle/v2/fluid/tests/test_conv3d_transpose_op.py index b08969062a..4934c5a34e 100644 --- a/python/paddle/v2/fluid/tests/test_conv3d_transpose_op.py +++ b/python/paddle/v2/fluid/tests/test_conv3d_transpose_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_conv_shift_op.py b/python/paddle/v2/fluid/tests/test_conv_shift_op.py index 14b2640e24..7029d5a2eb 100644 --- a/python/paddle/v2/fluid/tests/test_conv_shift_op.py +++ b/python/paddle/v2/fluid/tests/test_conv_shift_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_cos_sim_op.py b/python/paddle/v2/fluid/tests/test_cos_sim_op.py index f6e5e2cbe9..33db12ba9c 100644 --- a/python/paddle/v2/fluid/tests/test_cos_sim_op.py +++ b/python/paddle/v2/fluid/tests/test_cos_sim_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_create_op_doc_string.py b/python/paddle/v2/fluid/tests/test_create_op_doc_string.py index 6c92264221..2b7951ecea 100644 --- a/python/paddle/v2/fluid/tests/test_create_op_doc_string.py +++ b/python/paddle/v2/fluid/tests/test_create_op_doc_string.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.layers as layers diff --git a/python/paddle/v2/fluid/tests/test_crf_decoding_op.py b/python/paddle/v2/fluid/tests/test_crf_decoding_op.py index 40e80a824a..f819387cdc 100644 --- a/python/paddle/v2/fluid/tests/test_crf_decoding_op.py +++ b/python/paddle/v2/fluid/tests/test_crf_decoding_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import random import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_crop_op.py b/python/paddle/v2/fluid/tests/test_crop_op.py index a0b2fc954d..36bf176168 100644 --- a/python/paddle/v2/fluid/tests/test_crop_op.py +++ b/python/paddle/v2/fluid/tests/test_crop_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_cross_entropy_op.py b/python/paddle/v2/fluid/tests/test_cross_entropy_op.py index f05e6b2356..ae8e9be6de 100644 --- a/python/paddle/v2/fluid/tests/test_cross_entropy_op.py +++ b/python/paddle/v2/fluid/tests/test_cross_entropy_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest, randomize_probability diff --git a/python/paddle/v2/fluid/tests/test_ctc_align.py b/python/paddle/v2/fluid/tests/test_ctc_align.py new file mode 100644 index 0000000000..773c69d1ad --- /dev/null +++ b/python/paddle/v2/fluid/tests/test_ctc_align.py @@ -0,0 +1,76 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import sys +import unittest +import numpy as np +from op_test import OpTest +from test_softmax_op import stable_softmax + + +def CTCAlign(input, lod, blank, merge_repeated): + lod0 = lod[0] + result = [] + for i in range(len(lod0) - 1): + prev_token = -1 + for j in range(lod0[i], lod0[i + 1]): + token = input[j][0] + if (token != blank) and not (merge_repeated and + token == prev_token): + result.append(token) + prev_token = token + result = np.array(result).reshape([len(result), 1]).astype("int32") + return result + + +class TestCTCAlignOp(OpTest): + def config(self): + self.op_type = "ctc_align" + self.input_lod = [[0, 11, 18]] + self.blank = 0 + self.merge_repeated = False + self.input = np.array( + [0, 1, 2, 2, 0, 4, 0, 4, 5, 0, 6, 6, 0, 0, 7, 7, 7, 0]).reshape( + [18, 1]).astype("int32") + + def setUp(self): + self.config() + output = CTCAlign(self.input, self.input_lod, self.blank, + self.merge_repeated) + + self.inputs = {"Input": (self.input, self.input_lod), } + self.outputs = {"Output": output} + self.attrs = { + "blank": self.blank, + "merge_repeated": self.merge_repeated + } + + def test_check_output(self): + self.check_output() + pass + + +class TestCTCAlignOpCase1(TestCTCAlignOp): + def config(self): + self.op_type = "ctc_align" + self.input_lod = [[0, 11, 19]] + self.blank = 0 + self.merge_repeated = True + self.input = np.array( + [0, 1, 2, 2, 0, 4, 0, 4, 5, 0, 6, 6, 0, 0, 7, 7, 7, 0, 0]).reshape( + [19, 1]).astype("int32") + + +if __name__ == "__main__": + unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_data_feeder.py b/python/paddle/v2/fluid/tests/test_data_feeder.py index 5574766f8f..f967221015 100644 --- a/python/paddle/v2/fluid/tests/test_data_feeder.py +++ b/python/paddle/v2/fluid/tests/test_data_feeder.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid as fluid diff --git a/python/paddle/v2/fluid/tests/test_decayed_adagrad_op.py b/python/paddle/v2/fluid/tests/test_decayed_adagrad_op.py index 5e745a2843..78d4e3608e 100644 --- a/python/paddle/v2/fluid/tests/test_decayed_adagrad_op.py +++ b/python/paddle/v2/fluid/tests/test_decayed_adagrad_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_default_scope_funcs.py b/python/paddle/v2/fluid/tests/test_default_scope_funcs.py index 7a62168be9..5ff52f6d6b 100644 --- a/python/paddle/v2/fluid/tests/test_default_scope_funcs.py +++ b/python/paddle/v2/fluid/tests/test_default_scope_funcs.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.v2.fluid.default_scope_funcs import * import unittest diff --git a/python/paddle/v2/fluid/tests/test_detection_output_op.py b/python/paddle/v2/fluid/tests/test_detection_output_op.py index 147a43628c..8a5e06b38f 100644 --- a/python/paddle/v2/fluid/tests/test_detection_output_op.py +++ b/python/paddle/v2/fluid/tests/test_detection_output_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest @@ -67,4 +68,6 @@ class TestUnpoolOp(OpTest): if __name__ == '__main__': - unittest.main() + # FIXME: detection_output_op will be rewritten. This unittest should be + # enabled after rewriting. + exit(0) # temporary disable this unittest diff --git a/python/paddle/v2/fluid/tests/test_dropout_op.py b/python/paddle/v2/fluid/tests/test_dropout_op.py index f401050dcc..107b9567dc 100644 --- a/python/paddle/v2/fluid/tests/test_dropout_op.py +++ b/python/paddle/v2/fluid/tests/test_dropout_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_dyn_rnn.py b/python/paddle/v2/fluid/tests/test_dyn_rnn.py index a946fea58d..2ac926c63c 100644 --- a/python/paddle/v2/fluid/tests/test_dyn_rnn.py +++ b/python/paddle/v2/fluid/tests/test_dyn_rnn.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid as fluid import paddle.v2 as paddle import unittest diff --git a/python/paddle/v2/fluid/tests/test_dynrnn_gradient_check.py b/python/paddle/v2/fluid/tests/test_dynrnn_gradient_check.py index 95cc80739d..dd608432df 100644 --- a/python/paddle/v2/fluid/tests/test_dynrnn_gradient_check.py +++ b/python/paddle/v2/fluid/tests/test_dynrnn_gradient_check.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy import random import collections diff --git a/python/paddle/v2/fluid/tests/test_dynrnn_static_input.py b/python/paddle/v2/fluid/tests/test_dynrnn_static_input.py index d6878f0b6d..d14923b6b3 100644 --- a/python/paddle/v2/fluid/tests/test_dynrnn_static_input.py +++ b/python/paddle/v2/fluid/tests/test_dynrnn_static_input.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2 as paddle import paddle.v2.fluid.core as core diff --git a/python/paddle/v2/fluid/tests/test_edit_distance_op.py b/python/paddle/v2/fluid/tests/test_edit_distance_op.py index cf118df634..bebdc5cba3 100644 --- a/python/paddle/v2/fluid/tests/test_edit_distance_op.py +++ b/python/paddle/v2/fluid/tests/test_edit_distance_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest @@ -51,8 +52,8 @@ class TestEditDistanceOp(OpTest): def setUp(self): self.op_type = "edit_distance" normalized = False - x1 = np.array([[0, 12, 3, 5, 8, 2]]).astype("int32") - x2 = np.array([[0, 12, 4, 7, 8]]).astype("int32") + x1 = np.array([[0, 12, 3, 5, 8, 2]]).astype("int64") + x2 = np.array([[0, 12, 4, 7, 8]]).astype("int64") x1 = np.transpose(x1) x2 = np.transpose(x2) x1_lod = [0, 1, 5] @@ -60,6 +61,7 @@ class TestEditDistanceOp(OpTest): num_strs = len(x1_lod) - 1 distance = np.zeros((num_strs, 1)).astype("float32") + sequence_num = np.array(2).astype("int64") for i in range(0, num_strs): distance[i] = Levenshtein( hyp=x1[x1_lod[i]:x1_lod[i + 1]], @@ -69,7 +71,7 @@ class TestEditDistanceOp(OpTest): distance[i] = distance[i] / len_ref self.attrs = {'normalized': normalized} self.inputs = {'Hyps': (x1, [x1_lod]), 'Refs': (x2, [x2_lod])} - self.outputs = {'Out': distance} + self.outputs = {'Out': distance, 'SequenceNum': sequence_num} def test_check_output(self): self.check_output() @@ -79,8 +81,8 @@ class TestEditDistanceOpNormalized(OpTest): def setUp(self): self.op_type = "edit_distance" normalized = True - x1 = np.array([[0, 10, 3, 6, 5, 8, 2]]).astype("int32") - x2 = np.array([[0, 10, 4, 6, 7, 8]]).astype("int32") + x1 = np.array([[0, 10, 3, 6, 5, 8, 2]]).astype("int64") + x2 = np.array([[0, 10, 4, 6, 7, 8]]).astype("int64") x1 = np.transpose(x1) x2 = np.transpose(x2) x1_lod = [0, 1, 3, 6] @@ -88,6 +90,7 @@ class TestEditDistanceOpNormalized(OpTest): num_strs = len(x1_lod) - 1 distance = np.zeros((num_strs, 1)).astype("float32") + sequence_num = np.array(3).astype("int64") for i in range(0, num_strs): distance[i] = Levenshtein( hyp=x1[x1_lod[i]:x1_lod[i + 1]], @@ -97,7 +100,7 @@ class TestEditDistanceOpNormalized(OpTest): distance[i] = distance[i] / len_ref self.attrs = {'normalized': normalized} self.inputs = {'Hyps': (x1, [x1_lod]), 'Refs': (x2, [x2_lod])} - self.outputs = {'Out': distance} + self.outputs = {'Out': distance, 'SequenceNum': sequence_num} def test_check_output(self): self.check_output() diff --git a/python/paddle/v2/fluid/tests/test_elementwise_add_op.py b/python/paddle/v2/fluid/tests/test_elementwise_add_op.py index 1e88231877..3564772fb5 100644 --- a/python/paddle/v2/fluid/tests/test_elementwise_add_op.py +++ b/python/paddle/v2/fluid/tests/test_elementwise_add_op.py @@ -1,16 +1,16 @@ # Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import unittest import numpy as np from op_test import OpTest @@ -40,6 +40,16 @@ class TestElementwiseOp(OpTest): ['X'], 'Out', max_relative_error=0.005, no_grad_set=set('Y')) +class TestElementwiseAddOp_scalar(TestElementwiseOp): + def setUp(self): + self.op_type = "elementwise_add" + self.inputs = { + 'X': np.random.rand(2, 3, 4).astype(np.float32), + 'Y': np.random.rand(1).astype(np.float32) + } + self.outputs = {'Out': self.inputs['X'] + self.inputs['Y']} + + class TestElementwiseAddOp_Vector(TestElementwiseOp): def setUp(self): self.op_type = "elementwise_add" diff --git a/python/paddle/v2/fluid/tests/test_elementwise_div_op.py b/python/paddle/v2/fluid/tests/test_elementwise_div_op.py index fbabc79be2..77b113af76 100644 --- a/python/paddle/v2/fluid/tests/test_elementwise_div_op.py +++ b/python/paddle/v2/fluid/tests/test_elementwise_div_op.py @@ -1,16 +1,16 @@ # Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import unittest import numpy as np from op_test import OpTest @@ -45,6 +45,16 @@ class ElementwiseDivOp(OpTest): ['X'], 'Out', max_relative_error=0.05, no_grad_set=set('Y')) +class TestElementwiseDivOp_scalar(ElementwiseDivOp): + def setUp(self): + self.op_type = "elementwise_div" + self.inputs = { + 'X': np.random.uniform(0.1, 1, [2, 3, 4]).astype(np.float32), + 'Y': np.random.uniform(0.1, 1, [1]).astype(np.float32) + } + self.outputs = {'Out': self.inputs['X'] / self.inputs['Y']} + + class TestElementwiseDivOp_Vector(ElementwiseDivOp): def setUp(self): self.op_type = "elementwise_div" diff --git a/python/paddle/v2/fluid/tests/test_elementwise_max_op.py b/python/paddle/v2/fluid/tests/test_elementwise_max_op.py index 3dfab4dd2f..0fc15693b1 100644 --- a/python/paddle/v2/fluid/tests/test_elementwise_max_op.py +++ b/python/paddle/v2/fluid/tests/test_elementwise_max_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest @@ -43,6 +44,15 @@ class TestElementwiseOp(OpTest): ['X'], 'Out', max_relative_error=0.005, no_grad_set=set('Y')) +class TestElementwiseMaxOp_scalar(TestElementwiseOp): + def setUp(self): + self.op_type = "elementwise_max" + x = np.random.random_integers(-5, 5, [2, 3, 4]).astype("float32") + y = np.array([0.5]).astype("float32") + self.inputs = {'X': x, 'Y': y} + self.outputs = {'Out': np.maximum(self.inputs['X'], self.inputs['Y'])} + + class TestElementwiseMaxOp_Vector(TestElementwiseOp): def setUp(self): self.op_type = "elementwise_max" diff --git a/python/paddle/v2/fluid/tests/test_elementwise_min_op.py b/python/paddle/v2/fluid/tests/test_elementwise_min_op.py index 8422a9cdae..51584d6980 100644 --- a/python/paddle/v2/fluid/tests/test_elementwise_min_op.py +++ b/python/paddle/v2/fluid/tests/test_elementwise_min_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest @@ -43,6 +44,15 @@ class TestElementwiseOp(OpTest): ['X'], 'Out', max_relative_error=0.005, no_grad_set=set('Y')) +class TestElementwiseMinOp_scalar(TestElementwiseOp): + def setUp(self): + self.op_type = "elementwise_min" + x = np.random.random_integers(-5, 5, [2, 3, 4]).astype("float32") + y = np.array([0.5]).astype("float32") + self.inputs = {'X': x, 'Y': y} + self.outputs = {'Out': np.minimum(self.inputs['X'], self.inputs['Y'])} + + class TestElementwiseMaxOp_Vector(TestElementwiseOp): def setUp(self): self.op_type = "elementwise_min" diff --git a/python/paddle/v2/fluid/tests/test_elementwise_mul_op.py b/python/paddle/v2/fluid/tests/test_elementwise_mul_op.py index ef3a829abc..12dfa6599c 100644 --- a/python/paddle/v2/fluid/tests/test_elementwise_mul_op.py +++ b/python/paddle/v2/fluid/tests/test_elementwise_mul_op.py @@ -1,16 +1,16 @@ # Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import unittest import numpy as np from op_test import OpTest @@ -38,6 +38,16 @@ class ElementwiseMulOp(OpTest): self.check_grad(['X'], 'Out', no_grad_set=set('Y')) +class TestElementwiseMulOp_scalar(ElementwiseMulOp): + def setUp(self): + self.op_type = "elementwise_mul" + self.inputs = { + 'X': np.random.rand(2, 3, 4).astype(np.float32), + 'Y': np.random.rand(1).astype(np.float32) + } + self.outputs = {'Out': self.inputs['X'] * self.inputs['Y']} + + class TestElementwiseMulOp_Vector(ElementwiseMulOp): def setUp(self): self.op_type = "elementwise_mul" diff --git a/python/paddle/v2/fluid/tests/test_elementwise_sub_op.py b/python/paddle/v2/fluid/tests/test_elementwise_sub_op.py index db24db7b30..cf53d85bba 100644 --- a/python/paddle/v2/fluid/tests/test_elementwise_sub_op.py +++ b/python/paddle/v2/fluid/tests/test_elementwise_sub_op.py @@ -1,16 +1,16 @@ # Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import unittest import numpy as np from op_test import OpTest @@ -40,6 +40,16 @@ class TestElementwiseOp(OpTest): ['X'], 'Out', max_relative_error=0.005, no_grad_set=set('Y')) +class TestElementwiseSubOp_scalar(TestElementwiseOp): + def setUp(self): + self.op_type = "elementwise_sub" + self.inputs = { + 'X': np.random.rand(2, 3, 4).astype(np.float32), + 'Y': np.random.rand(1).astype(np.float32) + } + self.outputs = {'Out': self.inputs['X'] - self.inputs['Y']} + + class TestElementwiseSubOp_Vector(TestElementwiseOp): def setUp(self): self.op_type = "elementwise_sub" diff --git a/python/paddle/v2/fluid/tests/test_clip.py b/python/paddle/v2/fluid/tests/test_error_clip.py similarity index 77% rename from python/paddle/v2/fluid/tests/test_clip.py rename to python/paddle/v2/fluid/tests/test_error_clip.py index 63353a1096..6f7718f4d8 100644 --- a/python/paddle/v2/fluid/tests/test_clip.py +++ b/python/paddle/v2/fluid/tests/test_error_clip.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function import numpy as np import paddle.v2 as paddle diff --git a/python/paddle/v2/fluid/tests/test_exception.py b/python/paddle/v2/fluid/tests/test_exception.py index 98c4cbe3f2..cd57ca586b 100644 --- a/python/paddle/v2/fluid/tests/test_exception.py +++ b/python/paddle/v2/fluid/tests/test_exception.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid.core as core import unittest diff --git a/python/paddle/v2/fluid/tests/test_executor_and_mul.py b/python/paddle/v2/fluid/tests/test_executor_and_mul.py index e8baf631e5..44f93be6cb 100644 --- a/python/paddle/v2/fluid/tests/test_executor_and_mul.py +++ b/python/paddle/v2/fluid/tests/test_executor_and_mul.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy diff --git a/python/paddle/v2/fluid/tests/test_expand_op.py b/python/paddle/v2/fluid/tests/test_expand_op.py index 0524f2041f..b1a1cbc0fa 100644 --- a/python/paddle/v2/fluid/tests/test_expand_op.py +++ b/python/paddle/v2/fluid/tests/test_expand_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_feed_fetch_method.py b/python/paddle/v2/fluid/tests/test_feed_fetch_method.py index 718311517d..827a7590ff 100644 --- a/python/paddle/v2/fluid/tests/test_feed_fetch_method.py +++ b/python/paddle/v2/fluid/tests/test_feed_fetch_method.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid.core as core import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_fill_constant_batch_size_like_op.py b/python/paddle/v2/fluid/tests/test_fill_constant_batch_size_like_op.py index 0adc487c04..f34a1ceb23 100644 --- a/python/paddle/v2/fluid/tests/test_fill_constant_batch_size_like_op.py +++ b/python/paddle/v2/fluid/tests/test_fill_constant_batch_size_like_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_fill_constant_op.py b/python/paddle/v2/fluid/tests/test_fill_constant_op.py index 50d4ccb3bd..a05fa39729 100644 --- a/python/paddle/v2/fluid/tests/test_fill_constant_op.py +++ b/python/paddle/v2/fluid/tests/test_fill_constant_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_fill_op.py b/python/paddle/v2/fluid/tests/test_fill_op.py index 42b06ec87c..901546f6f8 100644 --- a/python/paddle/v2/fluid/tests/test_fill_op.py +++ b/python/paddle/v2/fluid/tests/test_fill_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_fill_zeros_like_op.py b/python/paddle/v2/fluid/tests/test_fill_zeros_like_op.py index a28bed9697..b7f0b96647 100644 --- a/python/paddle/v2/fluid/tests/test_fill_zeros_like_op.py +++ b/python/paddle/v2/fluid/tests/test_fill_zeros_like_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_framework_debug_str.py b/python/paddle/v2/fluid/tests/test_framework_debug_str.py index 6c82e67220..f8fcfb2249 100644 --- a/python/paddle/v2/fluid/tests/test_framework_debug_str.py +++ b/python/paddle/v2/fluid/tests/test_framework_debug_str.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest from paddle.v2.fluid.framework import Program diff --git a/python/paddle/v2/fluid/tests/test_ftrl_op.py b/python/paddle/v2/fluid/tests/test_ftrl_op.py index 599233efd9..895337de0f 100644 --- a/python/paddle/v2/fluid/tests/test_ftrl_op.py +++ b/python/paddle/v2/fluid/tests/test_ftrl_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_gather_op.py b/python/paddle/v2/fluid/tests/test_gather_op.py index 95093f9b84..7675636797 100644 --- a/python/paddle/v2/fluid/tests/test_gather_op.py +++ b/python/paddle/v2/fluid/tests/test_gather_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_gaussian_random_op.py b/python/paddle/v2/fluid/tests/test_gaussian_random_op.py index bf4785211e..82842534d4 100644 --- a/python/paddle/v2/fluid/tests/test_gaussian_random_op.py +++ b/python/paddle/v2/fluid/tests/test_gaussian_random_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy diff --git a/python/paddle/v2/fluid/tests/test_get_places_op.py b/python/paddle/v2/fluid/tests/test_get_places_op.py index b44011fb76..68698c5f4a 100644 --- a/python/paddle/v2/fluid/tests/test_get_places_op.py +++ b/python/paddle/v2/fluid/tests/test_get_places_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid as fluid import decorators import unittest diff --git a/python/paddle/v2/fluid/tests/test_gradient_clip.py b/python/paddle/v2/fluid/tests/test_gradient_clip.py new file mode 100644 index 0000000000..9337791c21 --- /dev/null +++ b/python/paddle/v2/fluid/tests/test_gradient_clip.py @@ -0,0 +1,82 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import numpy as np +import paddle.v2 as paddle +import paddle.v2.fluid as fluid + +BATCH_SIZE = 128 +CLIP = 1 + +prog = fluid.framework.Program() +with fluid.program_guard(main_program=prog): + image = fluid.layers.data(name='x', shape=[784], dtype='float32') + + hidden1 = fluid.layers.fc(input=image, size=128, act='relu') + hidden2 = fluid.layers.fc(input=hidden1, size=64, act='relu') + predict = fluid.layers.fc(input=hidden2, size=10, act='softmax') + + label = fluid.layers.data(name='y', shape=[1], dtype='int64') + + cost = fluid.layers.cross_entropy(input=predict, label=label) + avg_cost = fluid.layers.mean(x=cost) + +prog_clip = prog.clone() + +avg_cost_clip = prog_clip.block(0).var(avg_cost.name) + +p_g = fluid.backward.append_backward(loss=avg_cost) +p_g_clip = fluid.backward.append_backward(loss=avg_cost_clip) + +with fluid.program_guard(main_program=prog_clip): + fluid.clip.set_gradient_clip( + fluid.clip.GradientClipByGlobalNorm(clip_norm=CLIP)) + p_g_clip = fluid.clip.append_gradient_clip_ops(p_g_clip) + +grad_list = [elem[1] for elem in p_g] +grad_clip_list = [elem[1] for elem in p_g_clip] + +train_reader = paddle.batch( + paddle.reader.shuffle( + paddle.dataset.mnist.train(), buf_size=8192), + batch_size=BATCH_SIZE) + +place = fluid.CPUPlace() +exe = fluid.Executor(place) +feeder = fluid.DataFeeder(feed_list=[image, label], place=place) +exe.run(fluid.default_startup_program()) + +count = 0 +for data in train_reader(): + count += 1 + if count > 5: + break + out = exe.run(prog, feed=feeder.feed(data), fetch_list=grad_list) + out_clip = exe.run(prog_clip, + feed=feeder.feed(data), + fetch_list=grad_clip_list) + global_norm = 0 + for v in out[1:]: + global_norm += np.sum(np.power(v, 2)) + global_norm = np.sqrt(global_norm) + + global_norm_clip = 0 + for v in out_clip[1:]: + global_norm_clip += np.sum(np.power(v, 2)) + global_norm_clip = np.sqrt(global_norm_clip) + + if not np.isclose( + a=global_norm_clip, b=np.minimum(global_norm, CLIP), rtol=5e-3): + exit(1) +exit(0) diff --git a/python/paddle/v2/fluid/tests/test_gru_op.py b/python/paddle/v2/fluid/tests/test_gru_op.py index a6647d1bf2..69cfd6c481 100644 --- a/python/paddle/v2/fluid/tests/test_gru_op.py +++ b/python/paddle/v2/fluid/tests/test_gru_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np import math diff --git a/python/paddle/v2/fluid/tests/test_gru_unit_op.py b/python/paddle/v2/fluid/tests/test_gru_unit_op.py index 53f10c32c7..71f13c4513 100644 --- a/python/paddle/v2/fluid/tests/test_gru_unit_op.py +++ b/python/paddle/v2/fluid/tests/test_gru_unit_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import math import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_hinge_loss_op.py b/python/paddle/v2/fluid/tests/test_hinge_loss_op.py index dc7774d01c..71ff47316e 100644 --- a/python/paddle/v2/fluid/tests/test_hinge_loss_op.py +++ b/python/paddle/v2/fluid/tests/test_hinge_loss_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_huber_loss_op.py b/python/paddle/v2/fluid/tests/test_huber_loss_op.py index 18a48bb18c..e4560af778 100644 --- a/python/paddle/v2/fluid/tests/test_huber_loss_op.py +++ b/python/paddle/v2/fluid/tests/test_huber_loss_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_im2sequence_op.py b/python/paddle/v2/fluid/tests/test_im2sequence_op.py new file mode 100644 index 0000000000..2cab3e31a5 --- /dev/null +++ b/python/paddle/v2/fluid/tests/test_im2sequence_op.py @@ -0,0 +1,167 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +#Licensed under the Apache License, Version 2.0 (the "License"); +#you may not use this file except in compliance with the License. +#You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +#Unless required by applicable law or agreed to in writing, software +#distributed under the License is distributed on an "AS IS" BASIS, +#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +#See the License for the specific language governing permissions and +#limitations under the License. +import unittest +import numpy as np +from op_test import OpTest + + +def get_output_shape(attrs, in_shape): + img_height = in_shape[2] + img_width = in_shape[3] + + paddings = attrs['paddings'] + kernels = attrs['kernels'] + strides = attrs['strides'] + + output_height = \ + 1 + \ + (img_height + paddings[0] + paddings[2] - kernels[0] + strides[0] - 1) / \ + strides[0] + + output_width = \ + 1 + \ + (img_width + paddings[1] + paddings[3] - kernels[1] + strides[1] - 1) / \ + strides[1] + + return output_height, output_width + + +def im2col(attrs, im, col): + """ + im: {CHW} + col: + {outputHeight, outputWidth, inputChannels, filterHeight, filterWidth} + """ + input_channels, input_height, input_width = im.shape + output_height, output_width, _, filter_height, filter_width = col.shape + + stride_height, stride_width = attrs['strides'] + padding_height, padding_width = attrs['paddings'][0:2] + + for col_row_idx in range(0, output_height): + for col_col_idx in range(0, output_width): + for channel in range(0, input_channels): + for filter_row_idx in range(0, filter_height): + for filter_col_idx in range(0, filter_width): + im_row_offset = col_row_idx * stride_height \ + + filter_row_idx - padding_height + + im_col_offset = col_col_idx * stride_width \ + + filter_col_idx - padding_width + + if (im_row_offset < 0 or + im_row_offset >= input_height or + im_col_offset < 0 or + im_col_offset >= input_width): + col[col_row_idx][col_col_idx][channel][\ + filter_row_idx][filter_col_idx] = 0.0 + else: + im_offset = (channel * input_height + im_row_offset \ + ) * input_width + im_col_offset + + col[col_row_idx][col_col_idx][channel][\ + filter_row_idx][filter_col_idx] = im[channel][ \ + im_row_offset][im_col_offset] + + +def Im2Sequence(inputs, attrs): + output_height, output_width = get_output_shape(attrs, inputs.shape) + img_channels = inputs.shape[1] + batch_size = inputs.shape[0] + out = np.zeros([ + batch_size, output_height, output_width, img_channels, + attrs['kernels'][0], attrs['kernels'][1] + ]).astype("float32") + + for i in range(len(inputs)): + im2col(attrs, inputs[i], out[i]) + + out = out.reshape([ + batch_size * output_height * output_width, + img_channels * attrs['kernels'][0] * attrs['kernels'][1] + ]) + return out + + +class TestBlockExpandOp(OpTest): + def config(self): + self.batch_size = 1 + self.img_channels = 3 + self.img_height = 4 + self.img_width = 4 + self.attrs = { + 'kernels': [2, 2], + 'strides': [1, 1], + 'paddings': [1, 1, 1, 1] + } + + def setUp(self): + self.config() + self.op_type = "im2sequence" + x = np.random.uniform(0.1, 1, [ + self.batch_size, self.img_channels, self.img_height, self.img_width + ]).astype("float32") + + out = Im2Sequence(x, self.attrs) + self.inputs = {'X': x} + self.outputs = {'Out': out} + + def test_check_output(self): + self.check_output() + + def test_check_grad_normal(self): + self.check_grad(['X'], 'Out') + + +class TestBlockExpandOpCase2(TestBlockExpandOp): + def config(self): + self.batch_size = 2 + self.img_channels = 3 + self.img_height = 4 + self.img_width = 5 + self.attrs = { + 'kernels': [2, 1], + 'strides': [2, 1], + 'paddings': [2, 1, 2, 1] + } + + +class TestBlockExpandOpCase3(TestBlockExpandOp): + def config(self): + self.batch_size = 3 + self.img_channels = 1 + self.img_height = 4 + self.img_width = 5 + self.attrs = { + 'kernels': [2, 1], + 'strides': [2, 1], + 'paddings': [2, 0, 2, 0] + } + + +class TestBlockExpandOpCase4(TestBlockExpandOp): + def config(self): + self.batch_size = 2 + self.img_channels = 2 + self.img_height = 3 + self.img_width = 3 + self.attrs = { + 'kernels': [2, 2], + 'strides': [1, 1], + 'paddings': [0, 0, 0, 0] + } + + +if __name__ == '__main__': + unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_image_classification_layer.py b/python/paddle/v2/fluid/tests/test_image_classification_layer.py index 9d676e8759..c64cfed5f5 100644 --- a/python/paddle/v2/fluid/tests/test_image_classification_layer.py +++ b/python/paddle/v2/fluid/tests/test_image_classification_layer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid as fluid diff --git a/python/paddle/v2/fluid/tests/test_infer_shape.py b/python/paddle/v2/fluid/tests/test_infer_shape.py index 0c2a6f1423..521096388a 100644 --- a/python/paddle/v2/fluid/tests/test_infer_shape.py +++ b/python/paddle/v2/fluid/tests/test_infer_shape.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.core as core diff --git a/python/paddle/v2/fluid/tests/test_inference_model_io.py b/python/paddle/v2/fluid/tests/test_inference_model_io.py index c5cad2166b..adf428aa84 100644 --- a/python/paddle/v2/fluid/tests/test_inference_model_io.py +++ b/python/paddle/v2/fluid/tests/test_inference_model_io.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_initializer.py b/python/paddle/v2/fluid/tests/test_initializer.py index fa3c2afeed..67746b4d7d 100644 --- a/python/paddle/v2/fluid/tests/test_initializer.py +++ b/python/paddle/v2/fluid/tests/test_initializer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy as np import unittest diff --git a/python/paddle/v2/fluid/tests/test_iou_similarity_op.py b/python/paddle/v2/fluid/tests/test_iou_similarity_op.py new file mode 100755 index 0000000000..128f2e4977 --- /dev/null +++ b/python/paddle/v2/fluid/tests/test_iou_similarity_op.py @@ -0,0 +1,55 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import unittest +import numpy as np +import sys +import math +from op_test import OpTest + + +class TestIOUSimilarityOp(OpTest): + def test_check_output(self): + self.check_output() + + def setUp(self): + self.op_type = "iou_similarity" + self.boxes1 = np.array( + [[4.0, 3.0, 7.0, 5.0], [5.0, 6.0, 10.0, 7.0]]).astype('float32') + self.boxes2 = np.array([[3.0, 4.0, 6.0, 8.0], [14.0, 14.0, 15.0, 15.0], + [0.0, 0.0, 20.0, 20.0]]).astype('float32') + self.output = np.array( + [[2.0 / 16.0, 0, 6.0 / 400.0], + [1.0 / 16.0, 0.0, 5.0 / 400.0]]).astype('float32') + + self.inputs = {'X': self.boxes1, 'Y': self.boxes2} + + self.outputs = {'Out': self.output} + + +class TestIOUSimilarityOpWithLoD(TestIOUSimilarityOp): + def test_check_output(self): + self.check_output() + + def setUp(self): + super(TestIOUSimilarityOpWithLoD, self).setUp() + self.boxes1_lod = [[0, 1, 2]] + self.output_lod = [[0, 1, 2]] + + self.inputs = {'X': (self.boxes1, self.boxes1_lod), 'Y': self.boxes2} + self.outputs = {'Out': (self.output, self.output_lod)} + + +if __name__ == '__main__': + unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_is_empty_op.py b/python/paddle/v2/fluid/tests/test_is_empty_op.py index d6876a885f..7c17e3d57a 100644 --- a/python/paddle/v2/fluid/tests/test_is_empty_op.py +++ b/python/paddle/v2/fluid/tests/test_is_empty_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from paddle.v2.fluid.op import Operator diff --git a/python/paddle/v2/fluid/tests/test_l1_norm_op.py b/python/paddle/v2/fluid/tests/test_l1_norm_op.py index 92484c49f0..bbc2087846 100644 --- a/python/paddle/v2/fluid/tests/test_l1_norm_op.py +++ b/python/paddle/v2/fluid/tests/test_l1_norm_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy as np import unittest from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_layers.py b/python/paddle/v2/fluid/tests/test_layers.py index a4e155b534..566fbba9ab 100644 --- a/python/paddle/v2/fluid/tests/test_layers.py +++ b/python/paddle/v2/fluid/tests/test_layers.py @@ -1,23 +1,25 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function import unittest import paddle.v2.fluid.layers as layers import paddle.v2.fluid.nets as nets -from paddle.v2.fluid.framework import Program, program_guard +from paddle.v2.fluid.framework import Program, program_guard, default_main_program from paddle.v2.fluid.param_attr import ParamAttr +import decorators class TestBook(unittest.TestCase): @@ -216,6 +218,67 @@ class TestBook(unittest.TestCase): self.assertIsNotNone(x) print(str(program)) + def test_sequence_reshape(self): + program = Program() + with program_guard(program): + x = layers.data(name='x', shape=[8], dtype='float32', lod_level=1) + out = layers.sequence_reshape(input=x, new_dim=16) + self.assertIsNotNone(out) + print(str(program)) + + def test_im2sequence(self): + print("test_im2sequence") + program = Program() + with program_guard(program): + x = layers.data(name='x', shape=[3, 128, 128], dtype='float32') + output = layers.im2sequence( + input=x, stride=[1, 1], filter_size=[2, 2]) + self.assertIsNotNone(output) + print(str(program)) + + @decorators.prog_scope() + def test_nce(self): + window_size = 5 + words = [] + for i in xrange(window_size): + words.append( + layers.data( + name='word_{0}'.format(i), shape=[1], dtype='int64')) + + dict_size = 10000 + label_word = int(window_size / 2) + 1 + + embs = [] + for i in xrange(window_size): + if i == label_word: + continue + + emb = layers.embedding( + input=words[i], + size=[dict_size, 32], + param_attr='emb.w', + is_sparse=True) + + embs.append(emb) + + embs = layers.concat(input=embs, axis=1) + loss = layers.nce(input=embs, + label=words[label_word], + num_total_classes=dict_size, + param_attr='nce.w', + bias_attr='nce.b') + avg_loss = layers.mean(x=loss) + self.assertIsNotNone(avg_loss) + print(str(default_main_program())) + + def test_row_conv(self): + program = Program() + with program_guard(program): + x = layers.data(name='x', shape=[16], dtype='float32', lod_level=1) + out = layers.row_conv(input=x, future_context_size=2) + self.assertIsNotNone(out) + print(str(program)) + if __name__ == '__main__': unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_linear_chain_crf_op.py b/python/paddle/v2/fluid/tests/test_linear_chain_crf_op.py index cd917dff7f..cbfd9d5e5b 100644 --- a/python/paddle/v2/fluid/tests/test_linear_chain_crf_op.py +++ b/python/paddle/v2/fluid/tests/test_linear_chain_crf_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import random import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_lod_array_length_op.py b/python/paddle/v2/fluid/tests/test_lod_array_length_op.py index f80136cb0d..eff28368f1 100644 --- a/python/paddle/v2/fluid/tests/test_lod_array_length_op.py +++ b/python/paddle/v2/fluid/tests/test_lod_array_length_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.layers as layers from paddle.v2.fluid.executor import Executor diff --git a/python/paddle/v2/fluid/tests/test_lod_rank_table.py b/python/paddle/v2/fluid/tests/test_lod_rank_table.py index 673605d79c..eb0392e8bf 100644 --- a/python/paddle/v2/fluid/tests/test_lod_rank_table.py +++ b/python/paddle/v2/fluid/tests/test_lod_rank_table.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from paddle.v2.fluid.layers import lod_rank_table, data from paddle.v2.fluid.executor import Executor import paddle.v2.fluid.core as core diff --git a/python/paddle/v2/fluid/tests/test_lod_reset_op.py b/python/paddle/v2/fluid/tests/test_lod_reset_op.py index d799dbfa21..4ee360403e 100644 --- a/python/paddle/v2/fluid/tests/test_lod_reset_op.py +++ b/python/paddle/v2/fluid/tests/test_lod_reset_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_lod_tensor_array.py b/python/paddle/v2/fluid/tests/test_lod_tensor_array.py index c593b1e061..0f3ac3c03d 100644 --- a/python/paddle/v2/fluid/tests/test_lod_tensor_array.py +++ b/python/paddle/v2/fluid/tests/test_lod_tensor_array.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.core as core import numpy diff --git a/python/paddle/v2/fluid/tests/test_lod_tensor_array_ops.py b/python/paddle/v2/fluid/tests/test_lod_tensor_array_ops.py index 5887f9799a..c2d04db99b 100644 --- a/python/paddle/v2/fluid/tests/test_lod_tensor_array_ops.py +++ b/python/paddle/v2/fluid/tests/test_lod_tensor_array_ops.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.core as core import numpy diff --git a/python/paddle/v2/fluid/tests/test_log_loss_op.py b/python/paddle/v2/fluid/tests/test_log_loss_op.py index fde99bfaa1..338355d0c4 100644 --- a/python/paddle/v2/fluid/tests/test_log_loss_op.py +++ b/python/paddle/v2/fluid/tests/test_log_loss_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_logical_op.py b/python/paddle/v2/fluid/tests/test_logical_op.py index 8c9e8de739..dd67dc561b 100644 --- a/python/paddle/v2/fluid/tests/test_logical_op.py +++ b/python/paddle/v2/fluid/tests/test_logical_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import op_test import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_lookup_table_op.py b/python/paddle/v2/fluid/tests/test_lookup_table_op.py index 1ff6b305bc..0c566c76c9 100644 --- a/python/paddle/v2/fluid/tests/test_lookup_table_op.py +++ b/python/paddle/v2/fluid/tests/test_lookup_table_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest @@ -32,5 +33,19 @@ class TestLookupTableOp(OpTest): self.check_grad(['W'], 'Out', no_grad_set=set('Ids')) +class TestLookupTableOpWithPadding(TestLookupTableOp): + def test_check_output(self): + ids = np.squeeze(self.inputs['Ids']) + padding_idx = np.random.choice(ids, 1)[0] + self.outputs['Out'][ids == padding_idx] = np.zeros(31) + self.attrs = {'padding_idx': long(padding_idx)} + self.check_output() + + def test_check_grad(self): + # Since paddings are not trainable and fixed in forward, the gradient of + # paddings makes no sense and we don't test the gradient here. + pass + + if __name__ == "__main__": unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_lrn_op.py b/python/paddle/v2/fluid/tests/test_lrn_op.py index 051704617e..a841dcf79f 100644 --- a/python/paddle/v2/fluid/tests/test_lrn_op.py +++ b/python/paddle/v2/fluid/tests/test_lrn_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_lstm_op.py b/python/paddle/v2/fluid/tests/test_lstm_op.py index 76ea8def7c..d9fa01e247 100644 --- a/python/paddle/v2/fluid/tests/test_lstm_op.py +++ b/python/paddle/v2/fluid/tests/test_lstm_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_lstm_unit_op.py b/python/paddle/v2/fluid/tests/test_lstm_unit_op.py index c97c1e72aa..d6348ea0ec 100644 --- a/python/paddle/v2/fluid/tests/test_lstm_unit_op.py +++ b/python/paddle/v2/fluid/tests/test_lstm_unit_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_margin_rank_loss_op.py b/python/paddle/v2/fluid/tests/test_margin_rank_loss_op.py index 3d8c1d19f9..694ce20712 100644 --- a/python/paddle/v2/fluid/tests/test_margin_rank_loss_op.py +++ b/python/paddle/v2/fluid/tests/test_margin_rank_loss_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_math_op_patch.py b/python/paddle/v2/fluid/tests/test_math_op_patch.py new file mode 100644 index 0000000000..2e77639a4c --- /dev/null +++ b/python/paddle/v2/fluid/tests/test_math_op_patch.py @@ -0,0 +1,181 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import unittest +import decorators +import paddle.v2.fluid as fluid +import numpy + + +class TestMathOpPatches(unittest.TestCase): + @decorators.prog_scope() + def test_add_scalar(self): + a = fluid.layers.data(name="a", shape=[1]) + b = a + 10 + place = fluid.CPUPlace() + exe = fluid.Executor(place) + a_np = numpy.random.random(size=[10, 1]).astype('float32') + b_np = exe.run(fluid.default_main_program(), + feed={"a": a_np}, + fetch_list=[b]) + self.assertTrue(numpy.allclose(a_np + 10, b_np)) + + @decorators.prog_scope() + def test_radd_scalar(self): + a = fluid.layers.data(name="a", shape=[1]) + b = 10 + a + place = fluid.CPUPlace() + exe = fluid.Executor(place) + a_np = numpy.random.random(size=[10, 1]).astype('float32') + b_np = exe.run(fluid.default_main_program(), + feed={"a": a_np}, + fetch_list=[b]) + self.assertTrue(numpy.allclose(a_np + 10, b_np)) + + @decorators.prog_scope() + def test_sub_scalar(self): + a = fluid.layers.data(name="a", shape=[1]) + b = a - 10 + place = fluid.CPUPlace() + exe = fluid.Executor(place) + a_np = numpy.random.random(size=[10, 1]).astype('float32') + b_np = exe.run(fluid.default_main_program(), + feed={"a": a_np}, + fetch_list=[b]) + self.assertTrue(numpy.allclose(a_np - 10, b_np)) + + @decorators.prog_scope() + def test_radd_scalar(self): + a = fluid.layers.data(name="a", shape=[1]) + b = 10 - a + place = fluid.CPUPlace() + exe = fluid.Executor(place) + a_np = numpy.random.random(size=[10, 1]).astype('float32') + b_np = exe.run(fluid.default_main_program(), + feed={"a": a_np}, + fetch_list=[b]) + self.assertTrue(numpy.allclose(10 - a_np, b_np)) + + @decorators.prog_scope() + def test_mul_scalar(self): + a = fluid.layers.data(name="a", shape=[1]) + b = a * 10 + place = fluid.CPUPlace() + exe = fluid.Executor(place) + a_np = numpy.random.random(size=[10, 1]).astype('float32') + b_np = exe.run(fluid.default_main_program(), + feed={"a": a_np}, + fetch_list=[b]) + self.assertTrue(numpy.allclose(a_np * 10, b_np)) + + @decorators.prog_scope() + def test_rmul_scalar(self): + a = fluid.layers.data(name="a", shape=[1]) + b = 10 * a + place = fluid.CPUPlace() + exe = fluid.Executor(place) + a_np = numpy.random.random(size=[10, 1]).astype('float32') + b_np = exe.run(fluid.default_main_program(), + feed={"a": a_np}, + fetch_list=[b]) + self.assertTrue(numpy.allclose(10 * a_np, b_np)) + + @decorators.prog_scope() + def test_div_scalar(self): + a = fluid.layers.data(name="a", shape=[1]) + b = a / 10 + place = fluid.CPUPlace() + exe = fluid.Executor(place) + a_np = numpy.random.random(size=[10, 1]).astype('float32') + b_np = exe.run(fluid.default_main_program(), + feed={"a": a_np}, + fetch_list=[b]) + self.assertTrue(numpy.allclose(a_np / 10, b_np)) + + @decorators.prog_scope() + def test_rdiv_scalar(self): + a = fluid.layers.data(name="a", shape=[1]) + b = 10 / a + place = fluid.CPUPlace() + exe = fluid.Executor(place) + a_np = numpy.random.random(size=[10, 1]).astype('float32') + 1e-2 + + b_np = exe.run(fluid.default_main_program(), + feed={"a": a_np}, + fetch_list=[b]) + self.assertTrue(numpy.allclose(10 / a_np, b_np)) + + @decorators.prog_scope() + def test_div_two_tensor(self): + a = fluid.layers.data(name="a", shape=[1]) + b = fluid.layers.data(name="b", shape=[1]) + c = a / b + place = fluid.CPUPlace() + exe = fluid.Executor(place) + a_np = numpy.random.random(size=[10, 1]).astype('float32') + b_np = numpy.random.random(size=[10, 1]).astype('float32') + 1e-2 + c_np = exe.run(fluid.default_main_program(), + feed={"a": a_np, + 'b': b_np}, + fetch_list=[c]) + self.assertTrue(numpy.allclose(a_np / b_np, c_np)) + + @decorators.prog_scope() + def test_mul_two_tensor(self): + a = fluid.layers.data(name="a", shape=[1]) + b = fluid.layers.data(name="b", shape=[1]) + c = a * b + place = fluid.CPUPlace() + exe = fluid.Executor(place) + a_np = numpy.random.random(size=[10, 1]).astype('float32') + b_np = numpy.random.random(size=[10, 1]).astype('float32') + c_np = exe.run(fluid.default_main_program(), + feed={"a": a_np, + 'b': b_np}, + fetch_list=[c]) + self.assertTrue(numpy.allclose(a_np * b_np, c_np)) + + @decorators.prog_scope() + def test_add_two_tensor(self): + a = fluid.layers.data(name="a", shape=[1]) + b = fluid.layers.data(name="b", shape=[1]) + c = a + b + place = fluid.CPUPlace() + exe = fluid.Executor(place) + a_np = numpy.random.random(size=[10, 1]).astype('float32') + b_np = numpy.random.random(size=[10, 1]).astype('float32') + c_np = exe.run(fluid.default_main_program(), + feed={"a": a_np, + 'b': b_np}, + fetch_list=[c]) + self.assertTrue(numpy.allclose(a_np + b_np, c_np)) + + @decorators.prog_scope() + def test_sub_two_tensor(self): + a = fluid.layers.data(name="a", shape=[1]) + b = fluid.layers.data(name="b", shape=[1]) + c = a - b + place = fluid.CPUPlace() + exe = fluid.Executor(place) + a_np = numpy.random.random(size=[10, 1]).astype('float32') + b_np = numpy.random.random(size=[10, 1]).astype('float32') + c_np = exe.run(fluid.default_main_program(), + feed={"a": a_np, + 'b': b_np}, + fetch_list=[c]) + self.assertTrue(numpy.allclose(a_np - b_np, c_np)) + + +if __name__ == '__main__': + unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_matmul_op.py b/python/paddle/v2/fluid/tests/test_matmul_op.py index f7dc4e0532..5138af38f4 100644 --- a/python/paddle/v2/fluid/tests/test_matmul_op.py +++ b/python/paddle/v2/fluid/tests/test_matmul_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest @@ -59,19 +60,18 @@ def reference_matmul(X, Y, transpose_X=False, transpose_Y=False): X = X.reshape((X.size, 1)) elif X.ndim == 2: X = X.T - elif X.ndim == 3: - X = np.transpose(X, (0, 2, 1)) else: - raise ValueError('X must have between 1 and 3 dimensions') + dim = [i for i in range(len(X.shape))] + dim[-1], dim[len(X.shape) - 2] = dim[len(X.shape) - 2], dim[-1] + X = np.transpose(X, tuple(dim)) if transpose_Y: if Y.ndim == 1: Y = Y.reshape((1, Y.size)) - elif Y.ndim == 2: - Y = Y.T - elif Y.ndim == 3: - Y = np.transpose(Y, (0, 2, 1)) else: - raise ValueError('Y must have between 1 and 3 dimensions') + dim = [i for i in range(len(Y.shape))] + dim[-1], dim[len(Y.shape) - 2] = dim[len(Y.shape) - 2], dim[-1] + Y = np.transpose(Y, tuple(dim)) + Out = np.matmul(X, Y) if not Out.shape: # We do not support 0-dimensional Tensors (scalars). So where @@ -120,13 +120,50 @@ for dim_X in [1, 2, 3]: dim_X, dim_Y, transpose_X, transpose_Y)) shape_X, shape_Y = generate_compatible_shapes( dim_X, dim_Y, transpose_X, transpose_Y) - test_class = type(test_name, (Generator, OpTest), { + globals()[test_name] = type(test_name, (Generator, OpTest), { 'shape_X': shape_X, 'shape_Y': shape_Y, 'transpose_X': transpose_X, 'transpose_Y': transpose_Y, }) - globals()[test_name] = test_class + + +# Test case n-dim +def generate_compatible_shapes(dim, transpose_X, transpose_Y): + M = 2 + N = 4 + K = 3 + shape_X = [2 for _ in range(dim - 2)] + shape_Y = [2 for _ in range(dim - 2)] + + if transpose_X: + shape_X += [K, M] + else: + shape_X += [M, K] + + if transpose_Y: + shape_Y += [N, K] + else: + shape_Y += [K, N] + + return shape_X, shape_Y + + +# Test case n-dim +for dim in [4]: + for transpose_X in [False, True]: + for transpose_Y in [False, True]: + test_name = ( + 'TestMatMulOp_dimX_{}_dim_Y_{}_transX_{}_transY_{}'.format( + dim, dim, transpose_X, transpose_Y)) + shape_X, shape_Y = generate_compatible_shapes(dim, transpose_X, + transpose_Y) + globals()[test_name] = type(test_name, (Generator, OpTest), { + 'shape_X': shape_X, + 'shape_Y': shape_Y, + 'transpose_X': transpose_X, + 'transpose_Y': transpose_Y, + }) if __name__ == "__main__": unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_maxout_op.py b/python/paddle/v2/fluid/tests/test_maxout_op.py index ed8c0d2b67..5cd7fbde84 100644 --- a/python/paddle/v2/fluid/tests/test_maxout_op.py +++ b/python/paddle/v2/fluid/tests/test_maxout_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_mean_op.py b/python/paddle/v2/fluid/tests/test_mean_op.py index f9d7d6921e..81e8421635 100644 --- a/python/paddle/v2/fluid/tests/test_mean_op.py +++ b/python/paddle/v2/fluid/tests/test_mean_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_memory_optimization_transpiler.py b/python/paddle/v2/fluid/tests/test_memory_optimization_transpiler.py index 76f3c4eb64..2e9ed78ffd 100644 --- a/python/paddle/v2/fluid/tests/test_memory_optimization_transpiler.py +++ b/python/paddle/v2/fluid/tests/test_memory_optimization_transpiler.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function import unittest diff --git a/python/paddle/v2/fluid/tests/test_minus_op.py b/python/paddle/v2/fluid/tests/test_minus_op.py index 99c0d9056a..aee909f56c 100644 --- a/python/paddle/v2/fluid/tests/test_minus_op.py +++ b/python/paddle/v2/fluid/tests/test_minus_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_mnist_if_else_op.py b/python/paddle/v2/fluid/tests/test_mnist_if_else_op.py index 18e3991b94..3288a0f007 100644 --- a/python/paddle/v2/fluid/tests/test_mnist_if_else_op.py +++ b/python/paddle/v2/fluid/tests/test_mnist_if_else_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid.layers as layers from paddle.v2.fluid.framework import Program, program_guard, default_main_program, default_startup_program from paddle.v2.fluid.executor import Executor diff --git a/python/paddle/v2/fluid/tests/test_modified_huber_loss_op.py b/python/paddle/v2/fluid/tests/test_modified_huber_loss_op.py index 40955283e6..eb3873b9ea 100644 --- a/python/paddle/v2/fluid/tests/test_modified_huber_loss_op.py +++ b/python/paddle/v2/fluid/tests/test_modified_huber_loss_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_momentum_op.py b/python/paddle/v2/fluid/tests/test_momentum_op.py index 8008a5586f..048eaae06b 100644 --- a/python/paddle/v2/fluid/tests/test_momentum_op.py +++ b/python/paddle/v2/fluid/tests/test_momentum_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_mul_op.py b/python/paddle/v2/fluid/tests/test_mul_op.py index 3033b8ef70..83715f0e27 100644 --- a/python/paddle/v2/fluid/tests/test_mul_op.py +++ b/python/paddle/v2/fluid/tests/test_mul_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_multiplex_op.py b/python/paddle/v2/fluid/tests/test_multiplex_op.py index 5746ab391e..a06aef94a5 100644 --- a/python/paddle/v2/fluid/tests/test_multiplex_op.py +++ b/python/paddle/v2/fluid/tests/test_multiplex_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_nce.py b/python/paddle/v2/fluid/tests/test_nce.py index ce66a7c6b3..9a51c1f612 100644 --- a/python/paddle/v2/fluid/tests/test_nce.py +++ b/python/paddle/v2/fluid/tests/test_nce.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest @@ -108,4 +109,6 @@ class TestNCECase1(TestNCE): if __name__ == '__main__': + # FIXME(qijun) https://github.com/PaddlePaddle/Paddle/issues/7778 + exit(0) unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_net.py b/python/paddle/v2/fluid/tests/test_net.py index cc78cb4a56..69d95d4f70 100644 --- a/python/paddle/v2/fluid/tests/test_net.py +++ b/python/paddle/v2/fluid/tests/test_net.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid.core as core from paddle.v2.fluid.op import Operator import unittest diff --git a/python/paddle/v2/fluid/tests/test_norm_op.py b/python/paddle/v2/fluid/tests/test_norm_op.py index b053522d72..dd1cd5a31c 100644 --- a/python/paddle/v2/fluid/tests/test_norm_op.py +++ b/python/paddle/v2/fluid/tests/test_norm_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_normalization_wrapper.py b/python/paddle/v2/fluid/tests/test_normalization_wrapper.py new file mode 100644 index 0000000000..57f14f6b9c --- /dev/null +++ b/python/paddle/v2/fluid/tests/test_normalization_wrapper.py @@ -0,0 +1,96 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import unittest +import paddle.v2.fluid as fluid +import paddle.v2.fluid.core as core +import numpy as np + + +class TestNormalization(unittest.TestCase): + data_desc = {"name": "input", "shape": (2, 3, 7)} + + def gen_random_input(self): + """Generate random input data. + """ + self.data = np.random.random( + size=self.data_desc["shape"]).astype("float32") + + def set_program(self, axis, epsilon): + """Build the test program. + """ + data = fluid.layers.data( + name=self.data_desc["name"], + shape=self.data_desc["shape"], + dtype="float32", + append_batch_size=False) + data.stop_gradient = False + l2_norm = fluid.layers.l2_normalize(x=data, axis=axis, epsilon=epsilon) + out = fluid.layers.reduce_sum(l2_norm, dim=None) + + fluid.backward.append_backward(loss=out) + self.fetch_list = [l2_norm] + + def run_program(self): + """Run the test program. + """ + places = [core.CPUPlace()] + if core.is_compile_gpu(): + places.append(core.CUDAPlace(0)) + + for place in places: + self.set_inputs(place) + exe = fluid.Executor(place) + + output = exe.run(fluid.default_main_program(), + feed=self.inputs, + fetch_list=self.fetch_list, + return_numpy=True) + self.op_output = output + + def set_inputs(self, place): + """Set the randomly generated data to the test program. + """ + self.inputs = {} + tensor = fluid.Tensor() + tensor.set(self.data, place) + self.inputs[self.data_desc["name"]] = tensor + + def l2_normalize(self, data, axis, epsilon): + """ Compute the groundtruth. + """ + output = data * np.reciprocal( + np.sum(np.square(data), axis=axis, keepdims=True)) + return output + + def test_l2_normalize(self): + """ Test the python wrapper for l2_normalize. + """ + axis = 1 + #TODO(caoying) epsilon is not supported due to lack of a maximum_op. + epsilon = 1e-6 + + self.gen_random_input() + + self.set_program(axis, epsilon) + self.run_program() + + expect_output = self.l2_normalize(self.data, axis, epsilon) + + # check output + self.assertTrue(np.allclose(self.op_output, expect_output, atol=0.001)) + + +if __name__ == '__main__': + unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_op_support_gpu.py b/python/paddle/v2/fluid/tests/test_op_support_gpu.py index 741686a874..3493981812 100644 --- a/python/paddle/v2/fluid/tests/test_op_support_gpu.py +++ b/python/paddle/v2/fluid/tests/test_op_support_gpu.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.core as core diff --git a/python/paddle/v2/fluid/tests/test_operator.py b/python/paddle/v2/fluid/tests/test_operator.py index e75ee41149..b82cf580e8 100644 --- a/python/paddle/v2/fluid/tests/test_operator.py +++ b/python/paddle/v2/fluid/tests/test_operator.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.op as op diff --git a/python/paddle/v2/fluid/tests/test_operator_desc.py b/python/paddle/v2/fluid/tests/test_operator_desc.py index ed18fafe33..2c8665ffa2 100644 --- a/python/paddle/v2/fluid/tests/test_operator_desc.py +++ b/python/paddle/v2/fluid/tests/test_operator_desc.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.core as core diff --git a/python/paddle/v2/fluid/tests/test_optimizer.py b/python/paddle/v2/fluid/tests/test_optimizer.py index dbec3a5944..480ee70915 100644 --- a/python/paddle/v2/fluid/tests/test_optimizer.py +++ b/python/paddle/v2/fluid/tests/test_optimizer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.framework as framework diff --git a/python/paddle/v2/fluid/tests/test_pad_op.py b/python/paddle/v2/fluid/tests/test_pad_op.py index 1036b6bcad..0bd4800055 100644 --- a/python/paddle/v2/fluid/tests/test_pad_op.py +++ b/python/paddle/v2/fluid/tests/test_pad_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_parallel_op.py b/python/paddle/v2/fluid/tests/test_parallel_op.py index 45196ef6fe..dfde492c7c 100644 --- a/python/paddle/v2/fluid/tests/test_parallel_op.py +++ b/python/paddle/v2/fluid/tests/test_parallel_op.py @@ -1,23 +1,21 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid as fluid import numpy -import sys -# TODO(dzhwinter): get places op check need to be enhanced. -sys.exit(0) class BaseParallelForTest(unittest.TestCase): @@ -165,13 +163,13 @@ class ParallelOpTest(BaseParallelForTest): feed={ 'img': numpy.random.random(size=(51, 784)).astype('float32') }, - fetch='fc1.w@GRAD') + fetch=['fc1.w@GRAD']) def test_fc_with_tiny_data(self): self.run_test( callback=ParallelOpTest.__network__, feed={'img': numpy.random.random(size=(1, 784)).astype('float32')}, - fetch='fc1.w@GRAD') + fetch=['fc1.w@GRAD']) if __name__ == '__main__': diff --git a/python/paddle/v2/fluid/tests/test_parameter.py b/python/paddle/v2/fluid/tests/test_parameter.py index e0db318345..dfecdf939b 100644 --- a/python/paddle/v2/fluid/tests/test_parameter.py +++ b/python/paddle/v2/fluid/tests/test_parameter.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest from paddle.v2.fluid.framework import default_main_program import paddle.v2.fluid.core as core diff --git a/python/paddle/v2/fluid/tests/test_pool2d_op.py b/python/paddle/v2/fluid/tests/test_pool2d_op.py index ac8b24e7ad..2f43be8a0f 100644 --- a/python/paddle/v2/fluid/tests/test_pool2d_op.py +++ b/python/paddle/v2/fluid/tests/test_pool2d_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_pool3d_op.py b/python/paddle/v2/fluid/tests/test_pool3d_op.py index 54b8df8465..c93711e051 100644 --- a/python/paddle/v2/fluid/tests/test_pool3d_op.py +++ b/python/paddle/v2/fluid/tests/test_pool3d_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_pool_max_op.py b/python/paddle/v2/fluid/tests/test_pool_max_op.py index c4ec0e50cc..330ad24bd4 100644 --- a/python/paddle/v2/fluid/tests/test_pool_max_op.py +++ b/python/paddle/v2/fluid/tests/test_pool_max_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_positive_negative_pair_op.py b/python/paddle/v2/fluid/tests/test_positive_negative_pair_op.py index b75f7152ef..9b5e544655 100644 --- a/python/paddle/v2/fluid/tests/test_positive_negative_pair_op.py +++ b/python/paddle/v2/fluid/tests/test_positive_negative_pair_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import itertools import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_precision_recall_op.py b/python/paddle/v2/fluid/tests/test_precision_recall_op.py index 87c7fcb4b5..188b7af559 100644 --- a/python/paddle/v2/fluid/tests/test_precision_recall_op.py +++ b/python/paddle/v2/fluid/tests/test_precision_recall_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_prelu_op.py b/python/paddle/v2/fluid/tests/test_prelu_op.py index 38bd260bc9..848036234c 100644 --- a/python/paddle/v2/fluid/tests/test_prelu_op.py +++ b/python/paddle/v2/fluid/tests/test_prelu_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_print_op.py b/python/paddle/v2/fluid/tests/test_print_op.py index 4e42863af4..3177700dfa 100644 --- a/python/paddle/v2/fluid/tests/test_print_op.py +++ b/python/paddle/v2/fluid/tests/test_print_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.core as core from paddle.v2.fluid.executor import Executor diff --git a/python/paddle/v2/fluid/tests/test_prior_box_op.py b/python/paddle/v2/fluid/tests/test_prior_box_op.py new file mode 100644 index 0000000000..ca8d2bca74 --- /dev/null +++ b/python/paddle/v2/fluid/tests/test_prior_box_op.py @@ -0,0 +1,148 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import unittest +import numpy as np +import sys +import math +from op_test import OpTest + + +class TestPriorBoxOp(OpTest): + def set_data(self): + self.init_test_params() + self.init_test_input() + self.init_test_output() + self.inputs = {'Input': self.input, 'Image': self.image} + + self.attrs = { + 'min_sizes': self.min_sizes, + 'max_sizes': self.max_sizes, + 'aspect_ratios': self.aspect_ratios, + 'variances': self.variances, + 'flip': self.flip, + 'clip': self.clip, + 'step_w': self.step_w, + 'step_h': self.step_h, + 'offset': self.offset + } + + self.outputs = {'Boxes': self.out_boxes, 'Variances': self.out_var} + + def test_check_output(self): + self.check_output() + + def test_check_grad(self): + return + + def setUp(self): + self.op_type = "prior_box" + self.set_data() + + def init_test_params(self): + self.layer_w = 4 + self.layer_h = 4 + + self.image_w = 20 + self.image_h = 20 + + self.step_w = float(self.image_w) / float(self.layer_w) + self.step_h = float(self.image_h) / float(self.layer_h) + + self.input_channels = 2 + self.image_channels = 3 + self.batch_size = 10 + + self.min_sizes = [2, 4] + self.min_sizes = np.array(self.min_sizes).astype('int64') + self.max_sizes = [5, 10] + self.max_sizes = np.array(self.max_sizes).astype('int64') + self.aspect_ratios = [2.0, 3.0] + self.flip = True + self.real_aspect_ratios = [1, 2.0, 1.0 / 2.0, 3.0, 1.0 / 3.0] + self.aspect_ratios = np.array( + self.aspect_ratios, dtype=np.float).flatten() + self.variances = [0.1, 0.1, 0.2, 0.2] + self.variances = np.array(self.variances, dtype=np.float).flatten() + + self.clip = True + + self.num_priors = len(self.real_aspect_ratios) * len(self.min_sizes) + if len(self.max_sizes) > 1: + self.num_priors += len(self.max_sizes) + self.offset = 0.5 + + def init_test_input(self): + self.image = np.random.random( + (self.batch_size, self.image_channels, self.image_w, + self.image_h)).astype('float32') + + self.input = np.random.random( + (self.batch_size, self.input_channels, self.layer_w, + self.layer_h)).astype('float32') + + def init_test_output(self): + out_dim = (self.layer_h, self.layer_w, self.num_priors, 4) + out_boxes = np.zeros(out_dim).astype('float32') + out_var = np.zeros(out_dim).astype('float32') + + idx = 0 + for h in range(self.layer_h): + for w in range(self.layer_w): + c_x = (w + self.offset) * self.step_w + c_y = (h + self.offset) * self.step_h + idx = 0 + for s in range(len(self.min_sizes)): + min_size = self.min_sizes[s] + c_w = c_h = min_size / 2. + out_boxes[h, w, idx, :] = [ + (c_x - c_w) / self.image_w, (c_y - c_h) / self.image_h, + (c_x + c_w) / self.image_w, (c_y + c_h) / self.image_h + ] + idx += 1 + + if len(self.max_sizes) > 0: + max_size = self.max_sizes[s] + # second prior: aspect_ratio = 1, + c_w = c_h = math.sqrt(min_size * max_size) / 2 + out_boxes[h, w, idx, :] = [(c_x - c_w) / self.image_w, + (c_y - c_h) / self.image_h, + (c_x + c_w) / self.image_w, + (c_y + c_h) / self.image_h] + idx += 1 + + # rest of priors + for r in range(len(self.real_aspect_ratios)): + ar = self.real_aspect_ratios[r] + if math.fabs(ar - 1.) < 1e-6: + continue + c_w = min_size * math.sqrt(ar) / 2 + c_h = (min_size / math.sqrt(ar)) / 2 + out_boxes[h, w, idx, :] = [(c_x - c_w) / self.image_w, + (c_y - c_h) / self.image_h, + (c_x + c_w) / self.image_w, + (c_y + c_h) / self.image_h] + idx += 1 + # clip the prior's coordidate such that it is within[0, 1] + if self.clip: + out_boxes = np.clip(out_boxes, 0.0, 1.0) + # set the variance. + out_var = np.tile(self.variances, (self.layer_h, self.layer_w, + self.num_priors, 1)) + self.out_boxes = out_boxes.astype('float32') + self.out_var = out_var.astype('float32') + + +if __name__ == '__main__': + unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_profiler.py b/python/paddle/v2/fluid/tests/test_profiler.py index 4b439a16aa..34700df37d 100644 --- a/python/paddle/v2/fluid/tests/test_profiler.py +++ b/python/paddle/v2/fluid/tests/test_profiler.py @@ -1,22 +1,24 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest +import os import numpy as np import paddle.v2.fluid as fluid import paddle.v2.fluid.profiler as profiler import paddle.v2.fluid.layers as layers -import os +import paddle.v2.fluid.core as core class TestProfiler(unittest.TestCase): @@ -39,6 +41,50 @@ class TestProfiler(unittest.TestCase): exe.run(fluid.default_main_program(), feed={'data': input}) os.remove(output_file) + def net_profiler(self, state): + if state == 'GPU' and not core.is_compile_gpu(): + return + startup_program = fluid.Program() + main_program = fluid.Program() + + with fluid.program_guard(main_program, startup_program): + image = fluid.layers.data(name='x', shape=[784], dtype='float32') + hidden1 = fluid.layers.fc(input=image, size=128, act='relu') + hidden2 = fluid.layers.fc(input=hidden1, size=64, act='relu') + predict = fluid.layers.fc(input=hidden2, size=10, act='softmax') + label = fluid.layers.data(name='y', shape=[1], dtype='int64') + cost = fluid.layers.cross_entropy(input=predict, label=label) + avg_cost = fluid.layers.mean(x=cost) + accuracy = fluid.evaluator.Accuracy(input=predict, label=label) + + optimizer = fluid.optimizer.Momentum(learning_rate=0.001, momentum=0.9) + opts = optimizer.minimize(avg_cost, startup_program=startup_program) + + place = fluid.CPUPlace() if state == 'CPU' else fluid.CUDAPlace(0) + exe = fluid.Executor(place) + exe.run(startup_program) + + accuracy.reset(exe) + with profiler.profiler(state, 'total') as prof: + for iter in range(10): + if iter == 2: + profiler.reset_profiler() + x = np.random.random((32, 784)).astype("float32") + y = np.random.randint(0, 10, (32, 1)).astype("int64") + + outs = exe.run(main_program, + feed={'x': x, + 'y': y}, + fetch_list=[avg_cost] + accuracy.metrics) + acc = np.array(outs[1]) + pass_acc = accuracy.eval(exe) + + def test_cpu_profiler(self): + self.net_profiler('CPU') + + def test_cuda_profiler(self): + self.net_profiler('GPU') + if __name__ == '__main__': unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_program.py b/python/paddle/v2/fluid/tests/test_program.py index bcaeede93e..9967da1593 100644 --- a/python/paddle/v2/fluid/tests/test_program.py +++ b/python/paddle/v2/fluid/tests/test_program.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from __future__ import print_function import unittest diff --git a/python/paddle/v2/fluid/tests/test_protobuf.py b/python/paddle/v2/fluid/tests/test_protobuf.py index 5f0646d036..48e6dedc58 100644 --- a/python/paddle/v2/fluid/tests/test_protobuf.py +++ b/python/paddle/v2/fluid/tests/test_protobuf.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid.proto.framework_pb2 as framework_pb2 import unittest diff --git a/python/paddle/v2/fluid/tests/test_protobuf_descs.py b/python/paddle/v2/fluid/tests/test_protobuf_descs.py index 24638dc0e8..9034b2f4ef 100644 --- a/python/paddle/v2/fluid/tests/test_protobuf_descs.py +++ b/python/paddle/v2/fluid/tests/test_protobuf_descs.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.core as core diff --git a/python/paddle/v2/fluid/tests/test_proximal_adagrad_op.py b/python/paddle/v2/fluid/tests/test_proximal_adagrad_op.py index c197d850f9..744d71bdcf 100644 --- a/python/paddle/v2/fluid/tests/test_proximal_adagrad_op.py +++ b/python/paddle/v2/fluid/tests/test_proximal_adagrad_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_proximal_gd_op.py b/python/paddle/v2/fluid/tests/test_proximal_gd_op.py index 1545255825..96540cf6cf 100644 --- a/python/paddle/v2/fluid/tests/test_proximal_gd_op.py +++ b/python/paddle/v2/fluid/tests/test_proximal_gd_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_rank_loss_op.py b/python/paddle/v2/fluid/tests/test_rank_loss_op.py index b4ba7920cd..f31a2c2681 100644 --- a/python/paddle/v2/fluid/tests/test_rank_loss_op.py +++ b/python/paddle/v2/fluid/tests/test_rank_loss_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_recurrent_op.py b/python/paddle/v2/fluid/tests/test_recurrent_op.py index bcc3457aa3..6d59e199e2 100644 --- a/python/paddle/v2/fluid/tests/test_recurrent_op.py +++ b/python/paddle/v2/fluid/tests/test_recurrent_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.layers as layers diff --git a/python/paddle/v2/fluid/tests/test_reduce_op.py b/python/paddle/v2/fluid/tests/test_reduce_op.py index 57ee307ba6..c669f73a7c 100644 --- a/python/paddle/v2/fluid/tests/test_reduce_op.py +++ b/python/paddle/v2/fluid/tests/test_reduce_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest @@ -19,7 +20,7 @@ from op_test import OpTest class TestSumOp(OpTest): def setUp(self): self.op_type = "reduce_sum" - self.inputs = {'X': np.random.random((5, 6, 10)).astype("float32")} + self.inputs = {'X': np.random.random((5, 6, 10)).astype("float64")} self.outputs = {'Out': self.inputs['X'].sum(axis=0)} def test_check_output(self): @@ -32,7 +33,7 @@ class TestSumOp(OpTest): class TestMeanOp(OpTest): def setUp(self): self.op_type = "reduce_mean" - self.inputs = {'X': np.random.random((5, 6, 2, 10)).astype("float32")} + self.inputs = {'X': np.random.random((5, 6, 2, 10)).astype("float64")} self.attrs = {'dim': 1} self.outputs = {'Out': self.inputs['X'].mean(axis=self.attrs['dim'])} @@ -48,7 +49,7 @@ class TestMaxOp(OpTest): def setUp(self): self.op_type = "reduce_max" - self.inputs = {'X': np.random.random((5, 6, 10)).astype("float32")} + self.inputs = {'X': np.random.random((5, 6, 10)).astype("float64")} self.attrs = {'dim': -1} self.outputs = {'Out': self.inputs['X'].max(axis=self.attrs['dim'])} @@ -61,7 +62,7 @@ class TestMinOp(OpTest): def setUp(self): self.op_type = "reduce_min" - self.inputs = {'X': np.random.random((5, 6, 10)).astype("float32")} + self.inputs = {'X': np.random.random((5, 6, 10)).astype("float64")} self.attrs = {'dim': 2} self.outputs = {'Out': self.inputs['X'].min(axis=self.attrs['dim'])} @@ -72,7 +73,7 @@ class TestMinOp(OpTest): class TestKeepDimReduce(OpTest): def setUp(self): self.op_type = "reduce_sum" - self.inputs = {'X': np.random.random((5, 6, 10)).astype("float32")} + self.inputs = {'X': np.random.random((5, 6, 10)).astype("float64")} self.attrs = {'dim': -2, 'keep_dim': True} self.outputs = { 'Out': self.inputs['X'].sum(axis=self.attrs['dim'], keepdims=True) @@ -88,7 +89,7 @@ class TestKeepDimReduce(OpTest): class Test1DReduce(OpTest): def setUp(self): self.op_type = "reduce_sum" - self.inputs = {'X': np.random.random(20).astype("float32")} + self.inputs = {'X': np.random.random(20).astype("float64")} self.outputs = {'Out': self.inputs['X'].sum(axis=0)} def test_check_output(self): @@ -101,7 +102,7 @@ class Test1DReduce(OpTest): class TestReduceAll(OpTest): def setUp(self): self.op_type = "reduce_sum" - self.inputs = {'X': np.random.random((5, 6, 2, 10)).astype("float32")} + self.inputs = {'X': np.random.random((5, 6, 2, 10)).astype("float64")} self.attrs = {'reduce_all': True} self.outputs = {'Out': self.inputs['X'].sum()} diff --git a/python/paddle/v2/fluid/tests/test_registry.py b/python/paddle/v2/fluid/tests/test_registry.py index dba1189630..44e50ca55a 100644 --- a/python/paddle/v2/fluid/tests/test_registry.py +++ b/python/paddle/v2/fluid/tests/test_registry.py @@ -1,35 +1,31 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. import unittest -import warnings import paddle.v2.fluid as fluid -import paddle.v2.fluid.framework as framework -import paddle.v2.fluid.layers as layers -import paddle.v2.fluid.registry as registry +import numpy as np +import decorators class TestRegistry(unittest.TestCase): + @decorators.prog_scope() def test_registry_layer(self): - self.layer_type = "mean" - program = framework.Program() - x = fluid.layers.data(name='X', shape=[10, 10], dtype='float32') - output = layers.mean(x) + output = fluid.layers.mean(x=x) + place = fluid.CPUPlace() exe = fluid.Executor(place) - X = np.random.random((10, 10)).astype("float32") - mean_out = exe.run(program, feed={"X": X}, fetch_list=[output]) - self.assertAlmostEqual(np.mean(X), mean_out) + mean_out = exe.run(feed={"X": X}, fetch_list=[output]) + self.assertAlmostEqual(np.mean(X), mean_out[0]) diff --git a/python/paddle/v2/fluid/tests/test_regularizer.py b/python/paddle/v2/fluid/tests/test_regularizer.py index 9eaae1904a..b33817fa41 100644 --- a/python/paddle/v2/fluid/tests/test_regularizer.py +++ b/python/paddle/v2/fluid/tests/test_regularizer.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.framework as framework diff --git a/python/paddle/v2/fluid/tests/test_reorder_lod_tensor.py b/python/paddle/v2/fluid/tests/test_reorder_lod_tensor.py index 0bcdfafcf4..74cd6de9e6 100644 --- a/python/paddle/v2/fluid/tests/test_reorder_lod_tensor.py +++ b/python/paddle/v2/fluid/tests/test_reorder_lod_tensor.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid as fluid import paddle.v2.fluid.core as core diff --git a/python/paddle/v2/fluid/tests/test_reshape_op.py b/python/paddle/v2/fluid/tests/test_reshape_op.py index d6e6797043..2cc0b36460 100644 --- a/python/paddle/v2/fluid/tests/test_reshape_op.py +++ b/python/paddle/v2/fluid/tests/test_reshape_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_rmsprop_op.py b/python/paddle/v2/fluid/tests/test_rmsprop_op.py index 27a1ea2137..b6d7c69800 100644 --- a/python/paddle/v2/fluid/tests/test_rmsprop_op.py +++ b/python/paddle/v2/fluid/tests/test_rmsprop_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_rnn_memory_helper_op.py b/python/paddle/v2/fluid/tests/test_rnn_memory_helper_op.py index 378d7f8523..82b54bbd1a 100644 --- a/python/paddle/v2/fluid/tests/test_rnn_memory_helper_op.py +++ b/python/paddle/v2/fluid/tests/test_rnn_memory_helper_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest from paddle.v2.fluid.framework import Program diff --git a/python/paddle/v2/fluid/tests/test_roi_pool_op.py b/python/paddle/v2/fluid/tests/test_roi_pool_op.py index 6d7a698b09..af48848dcd 100644 --- a/python/paddle/v2/fluid/tests/test_roi_pool_op.py +++ b/python/paddle/v2/fluid/tests/test_roi_pool_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np import math diff --git a/python/paddle/v2/fluid/tests/test_row_conv_op.py b/python/paddle/v2/fluid/tests/test_row_conv_op.py index 1234d289cb..580b08f75e 100644 --- a/python/paddle/v2/fluid/tests/test_row_conv_op.py +++ b/python/paddle/v2/fluid/tests/test_row_conv_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_scale_op.py b/python/paddle/v2/fluid/tests/test_scale_op.py index 9847d3d361..95cd935dda 100644 --- a/python/paddle/v2/fluid/tests/test_scale_op.py +++ b/python/paddle/v2/fluid/tests/test_scale_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_scatter_op.py b/python/paddle/v2/fluid/tests/test_scatter_op.py index b6c4162f6f..f2936e19ae 100644 --- a/python/paddle/v2/fluid/tests/test_scatter_op.py +++ b/python/paddle/v2/fluid/tests/test_scatter_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_scope.py b/python/paddle/v2/fluid/tests/test_scope.py index adaaf16906..566a11abbe 100644 --- a/python/paddle/v2/fluid/tests/test_scope.py +++ b/python/paddle/v2/fluid/tests/test_scope.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid.core import unittest diff --git a/python/paddle/v2/fluid/tests/test_selected_rows.py b/python/paddle/v2/fluid/tests/test_selected_rows.py index 3179a3caae..65ddf1f8f5 100644 --- a/python/paddle/v2/fluid/tests/test_selected_rows.py +++ b/python/paddle/v2/fluid/tests/test_selected_rows.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid.core as core import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_seq_concat_op.py b/python/paddle/v2/fluid/tests/test_seq_concat_op.py index 1f026fd76e..ba2bb075e6 100644 --- a/python/paddle/v2/fluid/tests/test_seq_concat_op.py +++ b/python/paddle/v2/fluid/tests/test_seq_concat_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np import sys diff --git a/python/paddle/v2/fluid/tests/test_seq_conv.py b/python/paddle/v2/fluid/tests/test_seq_conv.py index c7e5085194..674a2e1694 100644 --- a/python/paddle/v2/fluid/tests/test_seq_conv.py +++ b/python/paddle/v2/fluid/tests/test_seq_conv.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np import random diff --git a/python/paddle/v2/fluid/tests/test_seq_pool.py b/python/paddle/v2/fluid/tests/test_seq_pool.py index bb15495373..9dd6b2a087 100644 --- a/python/paddle/v2/fluid/tests/test_seq_pool.py +++ b/python/paddle/v2/fluid/tests/test_seq_pool.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_sequence_erase_op.py b/python/paddle/v2/fluid/tests/test_sequence_erase_op.py index 650984009a..4823836ba9 100644 --- a/python/paddle/v2/fluid/tests/test_sequence_erase_op.py +++ b/python/paddle/v2/fluid/tests/test_sequence_erase_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest @@ -29,7 +30,7 @@ def sequence_erase(in_seq, lod0, tokens): return np.array(out_seq).astype("int32"), new_lod0 -class TestSequenceEraseOp(OpTest): +class TestSequenceEraseOpInt32(OpTest): def setUp(self): self.op_type = "sequence_erase" in_seq = np.random.randint(0, 10, (30, 1)).astype("int32") @@ -44,5 +45,35 @@ class TestSequenceEraseOp(OpTest): self.check_output() +class TestSequenceEraseOpInt64(OpTest): + def setUp(self): + self.op_type = "sequence_erase" + in_seq = np.random.randint(0, 10, (30, 1)).astype("int64") + lod = [[0, 9, 13, 24, 30]] + tokens = [2, 3, 5] + out_seq, new_lod0 = sequence_erase(in_seq, lod[0], tokens) + self.attrs = {'tokens': tokens} + self.inputs = {'X': (in_seq, lod)} + self.outputs = {'Out': (out_seq, [new_lod0])} + + def test_check_output(self): + self.check_output() + + +class TestSequenceEraseOpEmpty(OpTest): + def setUp(self): + self.op_type = "sequence_erase" + in_seq = np.random.randint(0, 10, (30, 1)).astype("int32") + lod = [[0, 9, 13, 24, 30]] + tokens = [] + out_seq, new_lod0 = sequence_erase(in_seq, lod[0], tokens) + self.attrs = {'tokens': tokens} + self.inputs = {'X': (in_seq, lod)} + self.outputs = {'Out': (out_seq, [new_lod0])} + + def test_check_output(self): + self.check_output() + + if __name__ == '__main__': unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_sequence_expand.py b/python/paddle/v2/fluid/tests/test_sequence_expand.py index aacdabf295..6fc045125f 100644 --- a/python/paddle/v2/fluid/tests/test_sequence_expand.py +++ b/python/paddle/v2/fluid/tests/test_sequence_expand.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_sequence_reshape.py b/python/paddle/v2/fluid/tests/test_sequence_reshape.py new file mode 100644 index 0000000000..06d5af8f5e --- /dev/null +++ b/python/paddle/v2/fluid/tests/test_sequence_reshape.py @@ -0,0 +1,85 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import unittest +import numpy as np +import math +from op_test import OpTest + + +class TestSequenceReshape(OpTest): + def setUp(self): + self.op_type = 'sequence_reshape' + dimension = 12 + x_lod = [[0, 4, 5, 8, 11]] + x = np.random.uniform(0.1, 1, [11, 24]).astype('float32') + + self.inputs = {'X': (x, x_lod)} + self.attrs = {'new_dim': dimension} + + out, out_lod = self.compute_output(x, x_lod, dimension) + + self.outputs = {'Out': (out, out_lod)} + + def compute_output(self, x, x_lod, dimension): + x_width = x.shape[1] + out_lod = [[0]] + for i in xrange(len(x_lod[0]) - 1): + seq_len = x_lod[0][i + 1] - x_lod[0][i] + offset = (seq_len * x_width) / dimension + assert int(offset) * dimension == seq_len * x_width + out_lod[0].append(out_lod[0][-1] + int(offset)) + out = np.zeros(shape=(out_lod[0][-1], dimension)).astype('float32') + out.ravel()[:] = x.ravel()[:] + return out, out_lod + + def test_check_output(self): + self.check_output() + + def test_check_grad(self): + self.check_grad(["X"], "Out") + + +class TestSequenceReshape_reduce(TestSequenceReshape): + def setUp(self): + self.op_type = 'sequence_reshape' + dimension = 24 + x_lod = [[0, 4, 6, 8, 12]] + x = np.random.uniform(0.1, 1, [12, 12]).astype('float32') + + self.inputs = {'X': (x, x_lod)} + self.attrs = {'new_dim': dimension} + + out, out_lod = self.compute_output(x, x_lod, dimension) + + self.outputs = {'Out': (out, out_lod)} + + +class TestSequenceReshape_same(TestSequenceReshape): + def setUp(self): + self.op_type = 'sequence_reshape' + dimension = 12 + x_lod = [[0, 4, 6, 8, 12]] + x = np.random.uniform(0.1, 1, [12, 12]).astype('float32') + + self.inputs = {'X': (x, x_lod)} + self.attrs = {'new_dim': dimension} + + out, out_lod = self.compute_output(x, x_lod, dimension) + + self.outputs = {'Out': (out, out_lod)} + + +if __name__ == '__main__': + unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_sequence_slice_op.py b/python/paddle/v2/fluid/tests/test_sequence_slice_op.py index 94062431f0..bf1f21bcde 100644 --- a/python/paddle/v2/fluid/tests/test_sequence_slice_op.py +++ b/python/paddle/v2/fluid/tests/test_sequence_slice_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np import sys diff --git a/python/paddle/v2/fluid/tests/test_sequence_softmax_op.py b/python/paddle/v2/fluid/tests/test_sequence_softmax_op.py index 8170e4d7f1..5bd780f6b5 100644 --- a/python/paddle/v2/fluid/tests/test_sequence_softmax_op.py +++ b/python/paddle/v2/fluid/tests/test_sequence_softmax_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_sgd_op.py b/python/paddle/v2/fluid/tests/test_sgd_op.py index 4a71fb30a9..f87927968b 100644 --- a/python/paddle/v2/fluid/tests/test_sgd_op.py +++ b/python/paddle/v2/fluid/tests/test_sgd_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np import paddle.v2.fluid.core as core diff --git a/python/paddle/v2/fluid/tests/test_shrink_rnn_memory.py b/python/paddle/v2/fluid/tests/test_shrink_rnn_memory.py index 1825a5258f..4578211bac 100644 --- a/python/paddle/v2/fluid/tests/test_shrink_rnn_memory.py +++ b/python/paddle/v2/fluid/tests/test_shrink_rnn_memory.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.core as core from paddle.v2.fluid.executor import Executor diff --git a/python/paddle/v2/fluid/tests/test_sigmoid_cross_entropy_with_logits_op.py b/python/paddle/v2/fluid/tests/test_sigmoid_cross_entropy_with_logits_op.py index 132502c9cb..f88fa62119 100644 --- a/python/paddle/v2/fluid/tests/test_sigmoid_cross_entropy_with_logits_op.py +++ b/python/paddle/v2/fluid/tests/test_sigmoid_cross_entropy_with_logits_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy as np from op_test import OpTest from scipy.special import logit diff --git a/python/paddle/v2/fluid/tests/test_sign_op.py b/python/paddle/v2/fluid/tests/test_sign_op.py index f649cb9e7c..c1dfa7f45d 100644 --- a/python/paddle/v2/fluid/tests/test_sign_op.py +++ b/python/paddle/v2/fluid/tests/test_sign_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_smooth_l1_loss_op.py b/python/paddle/v2/fluid/tests/test_smooth_l1_loss_op.py index 1052eaa8b0..5a388bb7b3 100644 --- a/python/paddle/v2/fluid/tests/test_smooth_l1_loss_op.py +++ b/python/paddle/v2/fluid/tests/test_smooth_l1_loss_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_softmax_op.py b/python/paddle/v2/fluid/tests/test_softmax_op.py index d03e50b2f1..cf43e676c5 100644 --- a/python/paddle/v2/fluid/tests/test_softmax_op.py +++ b/python/paddle/v2/fluid/tests/test_softmax_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_softmax_with_cross_entropy_op.py b/python/paddle/v2/fluid/tests/test_softmax_with_cross_entropy_op.py index 330467081b..626f34f0e0 100644 --- a/python/paddle/v2/fluid/tests/test_softmax_with_cross_entropy_op.py +++ b/python/paddle/v2/fluid/tests/test_softmax_with_cross_entropy_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_split_and_merge_lod_tensor_op.py b/python/paddle/v2/fluid/tests/test_split_and_merge_lod_tensor_op.py index 4e90404eca..bc541298ed 100644 --- a/python/paddle/v2/fluid/tests/test_split_and_merge_lod_tensor_op.py +++ b/python/paddle/v2/fluid/tests/test_split_and_merge_lod_tensor_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.core as core import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_split_op.py b/python/paddle/v2/fluid/tests/test_split_op.py index 000c300446..b80b64c41b 100644 --- a/python/paddle/v2/fluid/tests/test_split_op.py +++ b/python/paddle/v2/fluid/tests/test_split_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_split_selected_rows_op.py b/python/paddle/v2/fluid/tests/test_split_selected_rows_op.py new file mode 100644 index 0000000000..37c6587c41 --- /dev/null +++ b/python/paddle/v2/fluid/tests/test_split_selected_rows_op.py @@ -0,0 +1,130 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +import unittest +import paddle.v2.fluid.core as core +import numpy as np +from paddle.v2.fluid.op import Operator + + +class TestSpliteSelectedRows(unittest.TestCase): + def get_places(self): + places = [core.CPUPlace()] + if core.is_compile_gpu(): + places.append(core.CUDAPlace(0)) + return places + + def test_check_output(self): + for place in self.get_places(): + self.check_with_place(place) + + def test_check_grad(self): + for place in self.get_places(): + self.check_grad_with_place(place) + + def check_with_place(self, place): + scope = core.Scope() + rows = [0, 5, 7, 4, 20] + height = 20 + row_numel = 2 + + # initialize input variable X + x = scope.var('X').get_selected_rows() + x.set_rows(rows) + x.set_height(height) + np_array = np.ones((len(rows), row_numel)).astype("float32") + np_array[0, 0] = 2.0 + np_array[2, 1] = 4.0 + np_array[4, 1] = 8.0 + x_tensor = x.get_tensor() + x_tensor.set(np_array, place) + + height_sections = [5, 5, 5, 5, 3] + + # initialize output variables [out0, out1] + outs_name = ["out%d" % i for i in xrange(len(height_sections))] + outs = [ + scope.var(var_name).get_selected_rows() for var_name in outs_name + ] + + # expected output selected rows + expected_out0_rows = [0, 4] + expected_out1_rows = [5, 7] + expected_out4_rows = [20] + + op = Operator( + "split_selected_rows", + X="X", + Out=outs_name, + height_sections=height_sections) + + op.run(scope, place) + + self.assertEqual(outs[0].rows(), expected_out0_rows) + self.assertEqual(outs[1].rows(), expected_out1_rows) + self.assertEqual(outs[4].rows(), expected_out4_rows) + + self.assertEqual(outs[0].height(), height_sections[0]) + self.assertEqual(outs[4].height(), height_sections[4]) + + self.assertAlmostEqual(2.0, np.array(outs[0].get_tensor())[0, 0]) + self.assertAlmostEqual(4.0, np.array(outs[1].get_tensor())[1, 1]) + self.assertAlmostEqual(8.0, np.array(outs[4].get_tensor())[0, 1]) + + def check_grad_with_place(self, place): + scope = core.Scope() + height = 10 + row_numel = 2 + + # attr + height_sections = [5, 5] + + # initialize input variable X + out0_grad = scope.var("out0@GRAD").get_selected_rows() + rows0 = [0, 5] + out0_grad.set_rows(rows0) + out0_grad.set_height(height) + out0_grad_tensor = out0_grad.get_tensor() + np_array = np.ones((len(rows0), row_numel)).astype("float32") + np_array[0, 0] = 2.0 + out0_grad_tensor.set(np_array, place) + + out1_grad = scope.var("out1@GRAD").get_selected_rows() + rows1 = [7, 5] + out1_grad.set_rows(rows1) + out1_grad.set_height(height) + out1_grad_tensor = out1_grad.get_tensor() + np_array = np.ones((len(rows1), row_numel)).astype("float32") + np_array[0, 1] = 4.0 + out1_grad_tensor.set(np_array, place) + + x_grad = scope.var("X@GRAD").get_selected_rows() + + grad_op = Operator( + "sum", + X=["out0@GRAD", "out1@GRAD"], + Out="X@GRAD", + height_sections=height_sections) + + grad_op.run(scope, place) + + self.assertEqual(x_grad.rows(), rows0 + rows1) + self.assertEqual(x_grad.height(), height) + + self.assertAlmostEqual(2.0, np.array(x_grad.get_tensor())[0, 0]) + self.assertAlmostEqual(4.0, np.array(x_grad.get_tensor())[2, 1]) + + +if __name__ == "__main__": + unittest.main() diff --git a/python/paddle/v2/fluid/tests/test_spp_op.py b/python/paddle/v2/fluid/tests/test_spp_op.py index f09bb94b44..e912b56de5 100644 --- a/python/paddle/v2/fluid/tests/test_spp_op.py +++ b/python/paddle/v2/fluid/tests/test_spp_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_squared_l2_distance_op.py b/python/paddle/v2/fluid/tests/test_squared_l2_distance_op.py index 7b80d81d72..8171207cd9 100644 --- a/python/paddle/v2/fluid/tests/test_squared_l2_distance_op.py +++ b/python/paddle/v2/fluid/tests/test_squared_l2_distance_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_squared_l2_norm_op.py b/python/paddle/v2/fluid/tests/test_squared_l2_norm_op.py index 80994f5937..b7575cb4d2 100644 --- a/python/paddle/v2/fluid/tests/test_squared_l2_norm_op.py +++ b/python/paddle/v2/fluid/tests/test_squared_l2_norm_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy as np import unittest from numpy import linalg as LA diff --git a/python/paddle/v2/fluid/tests/test_sum_op.py b/python/paddle/v2/fluid/tests/test_sum_op.py index 366708ac83..0a15a9485d 100644 --- a/python/paddle/v2/fluid/tests/test_sum_op.py +++ b/python/paddle/v2/fluid/tests/test_sum_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_tensor.py b/python/paddle/v2/fluid/tests/test_tensor.py index 62a48b206c..d5cc235f58 100644 --- a/python/paddle/v2/fluid/tests/test_tensor.py +++ b/python/paddle/v2/fluid/tests/test_tensor.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import paddle.v2.fluid.core as core import unittest import numpy diff --git a/python/paddle/v2/fluid/tests/test_top_k_op.py b/python/paddle/v2/fluid/tests/test_top_k_op.py index 86968dba14..a50faf0fff 100644 --- a/python/paddle/v2/fluid/tests/test_top_k_op.py +++ b/python/paddle/v2/fluid/tests/test_top_k_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_transpose_op.py b/python/paddle/v2/fluid/tests/test_transpose_op.py index ff2541f450..a16de1416f 100644 --- a/python/paddle/v2/fluid/tests/test_transpose_op.py +++ b/python/paddle/v2/fluid/tests/test_transpose_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_uniform_random_op.py b/python/paddle/v2/fluid/tests/test_uniform_random_op.py index 332ac4f07f..b2a39f975e 100644 --- a/python/paddle/v2/fluid/tests/test_uniform_random_op.py +++ b/python/paddle/v2/fluid/tests/test_uniform_random_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy diff --git a/python/paddle/v2/fluid/tests/test_unpool_op.py b/python/paddle/v2/fluid/tests/test_unpool_op.py index 988c0c7506..3dd43f9ba4 100644 --- a/python/paddle/v2/fluid/tests/test_unpool_op.py +++ b/python/paddle/v2/fluid/tests/test_unpool_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import numpy as np from op_test import OpTest diff --git a/python/paddle/v2/fluid/tests/test_variable.py b/python/paddle/v2/fluid/tests/test_variable.py index 199fd4a8c2..9f9748ca4e 100644 --- a/python/paddle/v2/fluid/tests/test_variable.py +++ b/python/paddle/v2/fluid/tests/test_variable.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest from paddle.v2.fluid.framework import default_main_program, Program, convert_np_dtype_to_dtype_ import paddle.v2.fluid.core as core diff --git a/python/paddle/v2/fluid/tests/test_warpctc_op.py b/python/paddle/v2/fluid/tests/test_warpctc_op.py index 9f565676c5..55d1c73262 100644 --- a/python/paddle/v2/fluid/tests/test_warpctc_op.py +++ b/python/paddle/v2/fluid/tests/test_warpctc_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import sys import unittest import numpy as np diff --git a/python/paddle/v2/fluid/tests/test_while_op.py b/python/paddle/v2/fluid/tests/test_while_op.py index 72de0a0361..9f5e1b668c 100644 --- a/python/paddle/v2/fluid/tests/test_while_op.py +++ b/python/paddle/v2/fluid/tests/test_while_op.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import paddle.v2.fluid.layers as layers from paddle.v2.fluid.executor import Executor diff --git a/python/paddle/v2/image.py b/python/paddle/v2/image.py index a6fa0cecb8..e5000e440c 100644 --- a/python/paddle/v2/image.py +++ b/python/paddle/v2/image.py @@ -1,16 +1,16 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. """ This file contains some common interfaces for image preprocess. Many users are confused about the image layout. We introduce @@ -176,7 +176,6 @@ def resize_short(im, size): :param size: the shorter edge size of image after resizing. :type size: int """ - assert im.shape[-1] == 1 or im.shape[-1] == 3 h, w = im.shape[:2] h_new, w_new = size, size if h > w: @@ -267,7 +266,7 @@ def random_crop(im, size, is_color=True): return im -def left_right_flip(im): +def left_right_flip(im, is_color=True): """ Flip an image along the horizontal direction. Return the flipped image. @@ -278,13 +277,15 @@ def left_right_flip(im): im = left_right_flip(im) - :paam im: input image with HWC layout + :param im: input image with HWC layout or HW layout for gray image :type im: ndarray + :param is_color: whether input image is color or not + :type is_color: bool """ - if len(im.shape) == 3: + if len(im.shape) == 3 and is_color: return im[:, ::-1, :] else: - return im[:, ::-1, :] + return im[:, ::-1] def simple_transform(im, @@ -319,11 +320,12 @@ def simple_transform(im, """ im = resize_short(im, resize_size) if is_train: - im = random_crop(im, crop_size) + im = random_crop(im, crop_size, is_color=is_color) if np.random.randint(2) == 0: - im = left_right_flip(im) + im = left_right_flip(im, is_color) else: - im = center_crop(im, crop_size) + im = center_crop(im, crop_size, is_color) + im = center_crop(im, crop_size, is_color=is_color) if len(im.shape) == 3: im = to_chw(im) @@ -331,8 +333,10 @@ def simple_transform(im, if mean is not None: mean = np.array(mean, dtype=np.float32) # mean value, may be one value per channel - if mean.ndim == 1: + if mean.ndim == 1 and is_color: mean = mean[:, np.newaxis, np.newaxis] + elif mean.ndim == 1: + mean = mean else: # elementwise mean assert len(mean.shape) == len(im) @@ -372,6 +376,6 @@ def load_and_transform(filename, mean values per channel. :type mean: numpy array | list """ - im = load_image(filename) + im = load_image(filename, is_color) im = simple_transform(im, resize_size, crop_size, is_train, is_color, mean) return im diff --git a/python/paddle/v2/inference.py b/python/paddle/v2/inference.py index 39d1bfff0c..78bf9807da 100644 --- a/python/paddle/v2/inference.py +++ b/python/paddle/v2/inference.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import numpy import collections import topology diff --git a/python/paddle/v2/master/__init__.py b/python/paddle/v2/master/__init__.py index 09daaaa75e..494e4baf20 100644 --- a/python/paddle/v2/master/__init__.py +++ b/python/paddle/v2/master/__init__.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + from client import * __all__ = ['client'] diff --git a/python/paddle/v2/master/client.py b/python/paddle/v2/master/client.py index b874c2f349..b3c790e39d 100644 --- a/python/paddle/v2/master/client.py +++ b/python/paddle/v2/master/client.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import ctypes import os diff --git a/python/paddle/v2/reader/tests/__init__.py b/python/paddle/v2/reader/tests/__init__.py index 2619c1c0e9..b94a21a7e4 100644 --- a/python/paddle/v2/reader/tests/__init__.py +++ b/python/paddle/v2/reader/tests/__init__.py @@ -1,13 +1,13 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. diff --git a/python/paddle/v2/reader/tests/creator_test.py b/python/paddle/v2/reader/tests/creator_test.py index cf190aa664..ac6cd4e9b6 100644 --- a/python/paddle/v2/reader/tests/creator_test.py +++ b/python/paddle/v2/reader/tests/creator_test.py @@ -1,3 +1,17 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + # Copyright PaddlePaddle contributors. All Rights Reserved # # Licensed under the Apache License, Version 2.0 (the "License"); diff --git a/python/paddle/v2/reader/tests/decorator_test.py b/python/paddle/v2/reader/tests/decorator_test.py index 4ba71969df..e41e9c78a0 100644 --- a/python/paddle/v2/reader/tests/decorator_test.py +++ b/python/paddle/v2/reader/tests/decorator_test.py @@ -1,4 +1,4 @@ -# Copyright PaddlePaddle contributors. All Rights Reserved +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. + import time import unittest diff --git a/python/paddle/v2/tests/test_image.py b/python/paddle/v2/tests/test_image.py index b2d773510d..2b0444bb03 100644 --- a/python/paddle/v2/tests/test_image.py +++ b/python/paddle/v2/tests/test_image.py @@ -1,4 +1,4 @@ -# Copyright PaddlePaddle contributors. All Rights Reserved +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. + import unittest import numpy as np diff --git a/python/paddle/v2/tests/test_layer.py b/python/paddle/v2/tests/test_layer.py index de932ad715..710e8135f2 100644 --- a/python/paddle/v2/tests/test_layer.py +++ b/python/paddle/v2/tests/test_layer.py @@ -1,4 +1,4 @@ -# Copyright PaddlePaddle contributors. All Rights Reserved +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. + import unittest import paddle.v2.activation as activation diff --git a/python/paddle/v2/tests/test_op.py b/python/paddle/v2/tests/test_op.py index 69acccddf4..dd04cc4ab6 100644 --- a/python/paddle/v2/tests/test_op.py +++ b/python/paddle/v2/tests/test_op.py @@ -1,4 +1,4 @@ -# Copyright PaddlePaddle contributors. All Rights Reserved +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. + import unittest import paddle.v2.data_type as data_type diff --git a/python/paddle/v2/tests/test_paramconf_order.py b/python/paddle/v2/tests/test_paramconf_order.py index 41fea64122..33c240b8f5 100644 --- a/python/paddle/v2/tests/test_paramconf_order.py +++ b/python/paddle/v2/tests/test_paramconf_order.py @@ -1,3 +1,17 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + # Copyright PaddlePaddle contributors. All Rights Reserved # # Licensed under the Apache License, Version 2.0 (the "License"); diff --git a/python/paddle/v2/tests/test_parameters.py b/python/paddle/v2/tests/test_parameters.py index ab6863620f..1fe1f09b9d 100644 --- a/python/paddle/v2/tests/test_parameters.py +++ b/python/paddle/v2/tests/test_parameters.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + import unittest import sys diff --git a/python/paddle/v2/tests/test_rnn_layer.py b/python/paddle/v2/tests/test_rnn_layer.py index 192b0ee678..7920e342e1 100644 --- a/python/paddle/v2/tests/test_rnn_layer.py +++ b/python/paddle/v2/tests/test_rnn_layer.py @@ -1,4 +1,4 @@ -# Copyright PaddlePaddle contributors. All Rights Reserved +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. + import difflib import unittest diff --git a/python/paddle/v2/tests/test_topology.py b/python/paddle/v2/tests/test_topology.py index 7fd2ee82fd..11b4154eed 100644 --- a/python/paddle/v2/tests/test_topology.py +++ b/python/paddle/v2/tests/test_topology.py @@ -1,4 +1,4 @@ -# Copyright PaddlePaddle contributors. All Rights Reserved +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. @@ -11,6 +11,7 @@ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. + import unittest import paddle.v2.layer as layer import paddle.v2.topology as topology diff --git a/python/paddle/v2/trainer.py b/python/paddle/v2/trainer.py index 1a70a7203b..a0060bf227 100644 --- a/python/paddle/v2/trainer.py +++ b/python/paddle/v2/trainer.py @@ -1,16 +1,16 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. """ Module Trainer """ diff --git a/tools/manylinux1/Dockerfile.x64 b/tools/manylinux1/Dockerfile.x64 index 2c6ba650a5..0f1b833130 100644 --- a/tools/manylinux1/Dockerfile.x64 +++ b/tools/manylinux1/Dockerfile.x64 @@ -35,7 +35,7 @@ RUN cd /opt && wget -q --no-check-certificate https://github.com/google/protobuf cd protobuf-3.1.0 && ./configure && make -j4 && make install && cd .. && rm -f protobuf-cpp-3.1.0.tar.gz -RUN yum install -y sqlite-devel zlib-devel openssl-devel boost boost-devel pcre-devel vim tk-devel tkinter libtool +RUN yum install -y sqlite-devel zlib-devel openssl-devel pcre-devel vim tk-devel tkinter libtool RUN wget -O /root/requirements.txt https://raw.githubusercontent.com/PaddlePaddle/Paddle/develop/python/requirements.txt diff --git a/tools/manylinux1/build_scripts/manylinux1-check.py b/tools/manylinux1/build_scripts/manylinux1-check.py index e4bde065a2..a27eab1c77 100644 --- a/tools/manylinux1/build_scripts/manylinux1-check.py +++ b/tools/manylinux1/build_scripts/manylinux1-check.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + # Logic copied from PEP 513 diff --git a/tools/manylinux1/build_scripts/python-tag-abi-tag.py b/tools/manylinux1/build_scripts/python-tag-abi-tag.py index 301fbf07a4..cd2573314c 100644 --- a/tools/manylinux1/build_scripts/python-tag-abi-tag.py +++ b/tools/manylinux1/build_scripts/python-tag-abi-tag.py @@ -1,3 +1,17 @@ +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + # Utility script to print the python tag + the abi tag for a Python # See PEP 425 for exactly what these are, but an example would be: # cp27-cp27mu diff --git a/tools/manylinux1/build_scripts/ssl-check.py b/tools/manylinux1/build_scripts/ssl-check.py index 900185cef1..34a3116207 100644 --- a/tools/manylinux1/build_scripts/ssl-check.py +++ b/tools/manylinux1/build_scripts/ssl-check.py @@ -1,16 +1,17 @@ -# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. +# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserve. # -#Licensed under the Apache License, Version 2.0 (the "License"); -#you may not use this file except in compliance with the License. -#You may obtain a copy of the License at +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at # -# http://www.apache.org/licenses/LICENSE-2.0 +# http://www.apache.org/licenses/LICENSE-2.0 # -#Unless required by applicable law or agreed to in writing, software -#distributed under the License is distributed on an "AS IS" BASIS, -#WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -#See the License for the specific language governing permissions and -#limitations under the License. +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + # cf. https://github.com/pypa/manylinux/issues/53 GOOD_SSL = "https://google.com"