* add data type check, test=develop
* polish error messages, test=develop
* polish error messages, test=develop
* Remove support for the CPU architecture matmul, test=develop
* fix syntax bug, test=develop
* add input type and dtype check for cast_op
test=develop
* fix annotation
test=develop
* support more data type
test=develop
* fix bug for fill_constant's error type
test=develop
* improve converage
test=develop
* improve converage
test=develop
* Fix docs of gru_unit and dynamic_gru.
Fix basic_gru in rnn_impl.py.
Add error messages for param_attr setting in layer_norm api.
Add int64 dtype for expand.
test=develop
* Reopen unit-tests of basic_gru/basic_lstm in rnn_impl.py.
test=develop
* Add unit test for layer_norm api.
test=develop
* Remove the deprecated gru doc fix. test=develop
* Fix basic_gru test coverage. test=develop
* Update API.spec. test=develop
* Update API.spec. test=develop
* Fix test_basic_gru coverage test. test=develop
* Update test_basic_gru in test_layers to use fluid.data
test=develop
* Update test_basic_gru for coverage. test=develop
* Refine the documentation of sums.
* Remove Chinese comments and update API.spec.
* Refine the description of input argument.
* Update API.spec.
test=develop
test=document_fix
* refine the en api doc of ones, zeros, reverse, increment, hsigmoid and create_py_reader_by_data ops
test=develop, test=document_preview, test=document_fix
* refine eng doc for hsigmoid and create_py_reader_by_data ops
test=develop, test=document_preview, test=document_fix
* update API.spec
test=document_fix
* Fix the parameter name axis of reverse op in eng doc
test=develop, test=document_fix
* Update API.spec
test=develop, test=document_fix
* Refine eng doc of zeros, ones, reverse and assign op
test=develop, test=document_fix
* Update API.spec for assign, ones, zeros and reverse
test=develop, test=document_fix
* Fix data type of reverse op in eng doc
test=develop, test=document_fix
* Update API.spec for reverse op
test=develop, test=document_fix
* refine eng doc for hard_sigmoid op
test=develop
test=document_fix
* refine the description of hard_sigmoid
test=develop
test=document_fix
* update API.spec
test=document_fix
* Refine the decription of parameters of HardSigmoid op
test=develop, test=document_fix
* Update API.spec for hard_sigmoid op
test=develop, test=document_fix
* add input type and dtype check for accuracy_op
* add input type and dtype check for accuracy_op
* modify python error on accuracy_op,add test=develop
* modify details on accuracy_op, test=develop
* test float16, test=develop
* add warning, test=develop
* Refine the main comment of DynamicRNN.
* Refine the documentation of DynamicRNN's step_input function.
* Refine the documentation of DynamicRNN's static_input function.
* Refine the documentation of DynamicRNN's block function.
* Refine the documentation of DynamicRNN's memory function.
* Refine the documentation of DynamicRNN's update_memory and output function.
* Refine the code format and remove the method list.
* Refine the documentation of DynamicRNN's __call__ function.
test=develop
test=document_fix
* Minor modification.
test=develop
test=document_fix
* Fix some typo.
* Update API.spec.
test=develop
test=document_fix
* Refine the English according to the comments.
* Update API.spec.
test=develop
test=document_fix
* Fix some typo.
* Update API.spec.
* Add fp16 in input.dtype check test=develop
* Add warning of fp16 in CPU test=develop
* add unittest code for fp16 test=develop
* fix float16 list error test=develop
* fix English Doc of API:layers.py_func/sum, test=document_fix
* fix English Doc of API:layers.array_read/array_write/array_length,test=develop test=document_fix
* fix the reduce api en doc test=document_fix test=develop
* fix the fluid.data test=develop test=document_fix
* fix the API.spec test=develop test=document_fix
* fix according the review test=develop test=document_fix
* fix the confilict test=develop test=document_fix
* test=document_fix
test=develop
Fix english doc api, invloves the op of retinanet_target_assign, sigmoid_focal_loss and retinanet_detection_output.
* test=document_fix
test=develop
remove Notice: this OP supports CPU mode only in english doc api of retinanet_target_assign and retinanet_detection_output
* test=document_fix
test=develop
fix API Difference for retinanet_target_assign and retinanet_detection_output
* fix API.spec conflicts in english doc api of retinanet_target_assign, sigmoid_focal_loss, retinanet_detection_output
test=develop
test=document_fix
* fix API.spec conflicts in english doc api of retinanet_target_assign, sigmoid_focal_loss, retinanet_detection_output
test=develop
test=document_fix
* test=document_fix
Fix english doc api, invloves the op of greater_equal,greater_than,less_equal,not_equal,
rank,rsqrt,diag,linspace,reduce_all,reduce_any,sign,where,zeros_like,unique_with_counts.
* Fix some format problem in the op of sign and greather_than.
test=develop
test=document_fix
* Fix the example of zeros_like, and update api.spec
test=develop
test=document_fix
* test=develop, fix docker with paddle nccl problem
* test=develop, refine en_doc for Variable and Program
* test=document_fix, fix English doc for Variable and Program
* test=document_fix, refine astype code block style
* test=document_fix, add example code for Variable properties
* add api check in fc test=develop
* enforce shape error info of sum op test=develop
* fix spelling test=develop
* print x_dims info test=develop
* enhance shape error info test=develop
* fix fluid.data code example, test=develop, test=document_preview, test=document_fix
* use None instead of -1 in shape, test=develop, test=document_preview, test=document_fix
* test=develop
Add input type and dtype check for sign_op.
* test=develop
Fix the api text format in sign op.
* test=develop
Fix the api examples in sign op add update the api.spec.
* Update crf_decoding api & example
test=develop
* Update api spec
test=develop
* Fix linear chain crf api
test=develop
* Avoid sharing data pointer with input
test=develop
* Simplify the logic in linear_chain_crf_decoding
* Add unittest for crf_decoding when label & path both are set
test=develop
* Update API spec
test=develop
* Add unittest for layers && correct infer_shape in chunk_eval
test=develop
* fix the error message for reduce_mean and reduce_sum op test=develop
* fix typo test=develop
* fix according review advice test=develop
* fix the test test=develop
* fix test=develop
* fix the constant error message test=develop
* fix typo test=develop
* fix typo test=develop
* fix code style test=develop
* fix comment and bugs test=develop
* fix the bug test=develop
* fix and add unittest test=develop
* fix the typo test=develop
* add support for the fill_constant op test=develop
* add test for ci coverage test=develop
1.support asymmetric padding;
2.support padding algorithm:"SAME" and "VALID";
3.support channel_last: data_format NHWC and NDHWC;
4.change doc of python API and c++;
test=develop, test=document_preview
* test=develop, argument shape support tensor and tensor in list
* test=develop,Increasing the coverage of CI tests
* test=develop, modify the document and update API.spec
* test=develop, modify the doc and update API.spec
* test=develop, modify the doc and update API.spec
* test=develop, modify the interface of UniformInitializer
* test=develop, modify the interface of XavierInitializer and MSRAInitializer
* test=develop, modify based on review's comments
* test=develop, modify based on review's comments
* test=develop, modify based on review's comments
* fix pool2d pool3d:
1. support asymmetric padding;
2. support padding algorithm:"SAME" and "VALID";
3. support channel_last: data_format NHWC and NDHWC;
4. support inferring shape when input with negative dims in compile time;
5. change doc of python API and c++;
6. fix bug in cuda kernel when Attr(adaptive) is true.
test=develop,test=document_preview
* fix 'tensors' to 'Tensors'. test=develop,test=document_preview
* add test for converage ValueError.test=develop,test=document_preview
* resolve conflict in test_pool2d. test=develop
* move tree_conv to fluid.contrib.layers
test=develop
* update API.spec for tree_conv
test=develop
* update tree_conv api to increase unit coverage
test=develop
* refactor dygraph,test=develop
* fix failed unittest,test=develop
* polish code,test=develop
* check windows ci error,test=develop
try to fix windows ci error by np.allclose,test=develop
* polish vlog and profiler, test=develop
* try to fix preceding ops order,test=develop
* test transformer in windows ci, test=develop
* use python c-api to speed up tracer.trace,test=develop
* test=develop, fix docker with paddle nccl problem
* test=develop, add ut for debug string and gradient_accumulator
* test=develop, add tests for layer/gradient_accumulator/prepared_op
* test=develop, fix complie error for test_prepared_op
* test=develop, add more ut for dygraph
* test=develop, create API.spec for dygraph api change
* test=develop, refoctor name to make it easier to understand
* test=develop, refoctor name to make it easier to understand
* test=develop, fix multi-gpu failed problem , add Tracer tests, change PADDLEENFORCE to PADDLEENFORCE_EQ
* test=develop, fix ut failed on parallel se-resnext
* test=develop, change one more PADDLE_ENFORCE
* support auto prune in dygraph mode
* test=develop, support auto prune
* test=develop, merge develop conflict
* test=develop, fix test_layer and test_tracer ut
* test=develop, fix bug which may cause stop_gradient disabled with a list of backward inputs
modified interpolate_op to support tensor attribute
1. the parameter out_shape of image_resize、resize_nearest/bilinear/trilinear can be a list or a 1-D tensor variable. If a list, each element can be an integer or a tensor variable with shape: [1].
2. the parameter scale of above Ops can be a 1-D tensor variable.
modified document of image_resize, resize_nearest, resize_bilinear, resize_trilinear and add some code example.
add crop_tensor op. The main difference with crop is :
1. If the argument shape is a list, each element is an integer or a tensor variable with shape: [1]. This way is suitable for the case that the shape may be changed each iteration.
2. If the argument shape is a variable. Its rank must be 1. In crop op, the rank of shape must be the same as x
offsets can be a list, in which each element is an integer or a tensor variavle with shape: [1].
* strided_slice op basic function test=develop
* test=develop rewrite and fix
* fix bug test=develop
* fix for the PADDLE_ENFORCE usage
* add some unit testw
* fix for the aip test and copright and fix test=develop
* fix API.spec test=develop
* fix API.spec test=develop
* add axis parameter test=develop
* fix for the build error test=develop
* fix python api test=develop
* fix the build test=develop
* fix build test=develop
* fix API spec test=develop
* test=develop add some comment and single op test
* fix API spece test=develop
* fix test=develop
* fix test=develop
* fix api test=develop
* fix api test=develop
* fix API.spec test=develop
* fix typo test=develop
* fix API.spec test=develop
* fix API typo test=develop
* fix doc and API.spec test=develop
improve pow op according to reviews:
1. Delete unnecessary judgement statements in PowGradOpDescMaker;
2. Improve test of test_api;
overload GetKernelTypeForVar
add stop_gradient=True when attr(factor) is tensor Variable, change examples in API pow.
test=develop,test=document_preview
add support parameter inference when argument shape is a list containing integer and tensor variable;
test=develop
fix reshape op according to reviews:
1. improve or message;
2. improve test of test_api.
test=develop,test=document_preview
fix reshape op: Add error message in nn.py, test=develop
add stop_gradient=True when attr(shape) is tensor Variable.
change examples in API reshape.
test=develop,test=document_preview
add support parameter inference when arguments starts or ends is a list containing integer and tensor variable;
test=develop,test=document_preview
improve slice op according to review(from hongyu). test=develop
fix slice op according to review: infer_flags, test=develop
fix slice op: improve overload operator __getitem__ to support attrs(starts and ends) are Variable.
test=develop,test=document_preview
fix test_slice_op: add TestSliceOp_decs_dim_6 to resolve conflict with test_slice_ngraph_op. test=develop
add stop_gradient=True when attr(starts) or attr(ends) is tensor Variable.
test=develop,test=document_preview
1. add tensor support for argument expand_times in expand op;
2. add support parameter inference when argument expand_times is a list containing integer and tensor variable;
improve expand op according to reviews:
1. add doc of ExpandTimes in expand_op.cc;
2. improve the test of test_api.
add stop_gradient=True when attr(expand_times) is tensor Variable, change code examples.
test=develop,test=document_preview
danleifeng
石晓伟
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JesseyXujin
lijianshe02
Zeng Jinle
Guo Sheng
Yuan Shuai
hong19860320
liym27
Diego Zhang
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Yiqun Liu
zhaoyuchen2018
silingtong123
LielinJiang
Aurelius84
wawltor
zhupengyang
GaoWei8
ruri
wopeizl
qingqing01
FDInSky
Wilber
zhouwei25
zhongpu
wangchaochaohu
Guanghua Yu
Zhaolong Xing
huzhiqiang
Yibing Liu
Pei Yang
DuYao
liu zhengxi
Youwei Song
Feiyu Chan
SunGaofeng
Kaipeng Deng
Zhang Ting
FlyingQianMM
huangjun12
hong
Jiabin Yang
xiaoting
chengjuntao
Aurelius84
wangguanzhong
Tao Luo
whs
Liufang Sang
Bai Yifan
Double_V
lvmengsi
zhoushiyu
Yi Liu
zhang wenhui
ShenLiang
wawltor
gongweibao
Huihuang Zheng
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Chen Weihang