commit
c109e3bfe0
File diff suppressed because it is too large
Load Diff
@ -0,0 +1,23 @@
|
|||||||
|
# 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 paddle.trainer_config_helpers.attrs import *
|
||||||
|
|
||||||
|
__all__ = [
|
||||||
|
"Param",
|
||||||
|
"Extra",
|
||||||
|
]
|
||||||
|
|
||||||
|
Param = ParameterAttribute
|
||||||
|
Extra = ExtraLayerAttribute
|
@ -1,2 +1,6 @@
|
|||||||
|
add_test(NAME test_v2_layer
|
||||||
|
COMMAND ${PROJ_ROOT}/paddle/.set_python_path.sh -d ${PROJ_ROOT}/python/
|
||||||
|
${PYTHON_EXECUTABLE} ${PROJ_ROOT}/python/paddle/v2/tests/test_layer.py
|
||||||
|
WORKING_DIRECTORY ${PROJ_ROOT}/python/paddle)
|
||||||
add_test(NAME test_v2_api
|
add_test(NAME test_v2_api
|
||||||
COMMAND bash ${PROJ_ROOT}/python/paddle/v2/tests/run_tests.sh ${PYTHON_EXECUTABLE})
|
COMMAND bash ${PROJ_ROOT}/python/paddle/v2/tests/run_tests.sh ${PYTHON_EXECUTABLE})
|
||||||
|
@ -0,0 +1,63 @@
|
|||||||
|
# Copyright PaddlePaddle contributors. 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 difflib
|
||||||
|
import unittest
|
||||||
|
|
||||||
|
import paddle.trainer_config_helpers as conf_helps
|
||||||
|
import paddle.v2.activation as activation
|
||||||
|
import paddle.v2.attr as attr
|
||||||
|
import paddle.v2.data_type as data_type
|
||||||
|
import paddle.v2.layer as layer
|
||||||
|
from paddle.trainer_config_helpers.config_parser_utils import \
|
||||||
|
parse_network_config as parse_network
|
||||||
|
|
||||||
|
pixel = layer.data(name='pixel', type=data_type.dense_vector(784))
|
||||||
|
label = layer.data(name='label', type=data_type.integer_value(10))
|
||||||
|
weight = layer.data(name='weight', type=data_type.dense_vector(10))
|
||||||
|
score = layer.data(name='score', type=data_type.dense_vector(1))
|
||||||
|
hidden = layer.fc(input=pixel,
|
||||||
|
size=100,
|
||||||
|
act=activation.Sigmoid(),
|
||||||
|
param_attr=attr.Param(name='hidden'))
|
||||||
|
inference = layer.fc(input=hidden, size=10, act=activation.Softmax())
|
||||||
|
|
||||||
|
|
||||||
|
class CostLayerTest(unittest.TestCase):
|
||||||
|
def test_cost_layer(self):
|
||||||
|
cost1 = layer.classification_cost(input=inference, label=label)
|
||||||
|
cost2 = layer.classification_cost(
|
||||||
|
input=inference, label=label, weight=weight)
|
||||||
|
cost3 = layer.cross_entropy_cost(input=inference, label=label)
|
||||||
|
cost4 = layer.cross_entropy_with_selfnorm_cost(
|
||||||
|
input=inference, label=label)
|
||||||
|
cost5 = layer.regression_cost(input=inference, label=label)
|
||||||
|
cost6 = layer.regression_cost(
|
||||||
|
input=inference, label=label, weight=weight)
|
||||||
|
cost7 = layer.multi_binary_label_cross_entropy_cost(
|
||||||
|
input=inference, label=label)
|
||||||
|
cost8 = layer.rank_cost(left=score, right=score, label=score)
|
||||||
|
cost9 = layer.lambda_cost(input=inference, score=score)
|
||||||
|
cost10 = layer.sum_cost(input=inference)
|
||||||
|
cost11 = layer.huber_cost(input=score, label=label)
|
||||||
|
|
||||||
|
print dir(layer)
|
||||||
|
layer.parse_network(cost1, cost2)
|
||||||
|
print dir(layer)
|
||||||
|
#print layer.parse_network(cost3, cost4)
|
||||||
|
#print layer.parse_network(cost5, cost6)
|
||||||
|
#print layer.parse_network(cost7, cost8, cost9, cost10, cost11)
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
unittest.main()
|
Loading…
Reference in new issue