* Refactor MKL-DNN ElementwiseMul
remove manual fallback, remove format attrs
test=develop
* Refine PADDLE_ENFORCEs in eltwise_mul_op.h
test=develop
* Make ElementwiseMulOp inherit from ElementwiseOp
* Change type of simd_width to int
test=develop
* Remove Constructor extensions in ElementwiseOp and ElementwiseMulOp
test=develop
* Restore attributes
test=develop
* Fix test coverage for mkldnn eltwise mul
test=develop
* Conform to new is_run_common_broadcast API
test=develop
* Add UT for AreDimsAndFormatCorrect
test=develop
* Improve argsort performance.
- Give 200000 data to compute argsort on v100,
can speed up ~190x
before opt cost: 0.53s
after opt cost:0.0027s
- Add fp16 support
* Refine error message
* Refine code
test=develop
Signed-off-by: zhaoyuchen <zhaoyuchen01@baidu.com>
* add int8 kernel to lookup_table op and add dequantize op test=develop
* change paddle_enforce to paddle_enforce_eq test=develop
* change copyright and change some not suitable code test=develop
* remove debug log test=develop
* replace GetInputType with IndicateVarDataType test=develop
* fix EmptyGradMaker test=develop
* fix diff between cpu and gpu test=develop
* use memcopy when int8_t test=develop
* open dygraph op test, test=develop
* modify to_variable, test=develop
* modify input and output for dygraph, test=develop
* modify input and output for dygraph(fix bug), test=develop
* fix input processing of dygraph op test, test=develop
* fix bug, test=develop
* fix op test, test=develop
* fix forward bug for dygraph, test=develop
* fix mkldnn op test for forward, test=develop
* update nn.py for dygraph, test=develop
* fix crop_tensor_op, test=develop
* fix elementwise_mul_op, test=develop
* fix fill_op, test=develop
* fix some mkldnn op, test=develop
* open backward op test for dygraph, test=develop
* delete log, test=develop
* close backward op test for dygraph, test=develop
* fix bug for edit_distance_op and test_lstm_cudnn_op, test=develop
* fix optest backward bug for dygraph, test=develop
* fix optest backward bug for dygraph, test=develop
* close backward op test for dygraph, test=develop
* close backward op test for dygraph, test=develop
* open dygraph op test, test=develop
* fix op test for dygraph, fix GradOpDescMaker, test=develop
* fix bug for linear_chain_crf_op.h, test=develop
* remove log, test=develop
* remove log, test=develop
* remove log for op_test.py, test=develop
* remove log for op_test.py, test=develop
* fix bug for var_conv_2d_op, change PADDLE_ENFORCE, test=develop
* fix PADDLE_ENFORCE_EQ for hierarchical_sigmoid_op.cc, test=develop
* fix bug for test_increment_ngraph_op.py, test=develop
* fix lod for op test in dygraph, test=develop
* refactor op_test.py to reduce redundant code, test=develop
* fix lod optest, modify InputVar/OutputVar to HasInput/HasOutput, test=develop
* remove debug log, test=develop
* remove redundant code in base.py, test=develop
* fix some error in optest, test=develop
* fix ClearNoNeedBufferInputs function's bug for LoDTensor, test=develop
* refactor op_test.py, test=develop
* remove redundant writing, test=develop
* fix error(get tensor of the grad variable), test=develop
* fix test_concat_mkldnn test_conv2d_mkldnn, test=develop
* fix optest.py for get tensor of LoDTensor, test=develop
* fix optest.py for get tensor of LoDTensor, test=develop
* fix optest.py for get tensor of LoDTensor, test=develop
* fix some redundant code, test=develop
* reslove conflict and rewrite paddle error message, test=develop
* fix auc drop first commit test=develop
* update datanorm op
* update datanorm with enforce test=develop
* update test=develop
* update format test=develop
* update format
* update format test=develop
* add unit test test=develop
* update unit test test=develop
* update format test=develop
* update format test=develop
* update API description test=develop
* update API description test=develop
* update format test=develop
* fix codes as comments test=develop
* fix description as comments test=develop
* fix description as comments test=develop
* update codes.. test=develop
* modified error message for conv and conv_transpose, test=develop
* modified doc of conv and conv_transpose op, test=develop
* modified the expression for error message, test=develop
* modified error message for group_norm op, test=develop
* modified detail of Attr(data_format) or Attr(data_layout)
* add ValueError in API doc for maxout op, test=develop
* Add Asypadding for conv fusion.
test=develop
reference: pr/20042
* Fix eigen build link error
* Change back file mode
* Use math function & add more checks.
* set the default value of alpha for prelu to 0.25, test=develop
* add the call to __syncthreads(), test=develop
* fix the implementation of cpu prelu, test=develop
* repair the implementation of element mode prelu, test=develop
* modify test_prelu_op.py, test=develop
* Add the check of lod_level between compile-time and runtime.
test=develop
* Fix bug in check_compile_vs_runtime.
test=develop
* Fix the check of output when it is dispensiable or intermediate.
test=develop
* Share lod of x to out in match_matrix_tensor op in compile-time.
* Implement GetLoDLevel in InferShapeContext.
* Set the default value of check_compile_vs_runtime to False and enable it in test_sequence_pad_op.
test=develop
* Enable check_compile_vs_runtime in test_match_matrix_tensor.
* Add the implementation of SetLoDLevel in InferShapeContext.
* Remove the implementation of IncreaseLoDLevel and call Get/SetLoDLevel instead.
* Remove the implementation of DecreaseLoDLevel and call Set/GetLoDLevel instead.
* Refine some ops and unittests.
test=develop
* Fix a typo.
test=develop
* Remove the check of var type, and change int to int32_t.
test=develop
* Add unittest for Get/SetLoDLevel.
test=develop
* fix bug in pool/conv/conv_transpose:
1. It should be stride[i] not stride[0] in UpdatePaddingAndDilation;
2. fix bug of func _get_padding_with_SAME in test_conv/conv_transpose_op.py;
3. fix bug of the computation process in function conv2dtranspose_forward_naive.
test=develop
* change test to make the data of different dimensions different. test=develop
* Enrich the type of error and declare the error type interfaces, test=develop
* adjust tests to adapt new form, test=develop
* add inference deps with error_codes.pb.h, test=develop
* restore stack iter start pos, test=develop
* polish code based review comments, test=develop
* Add asymetric padding support for mkldnn pooling
test=develop
* Add asymetric padding support for mkldnn conv
test=develop
* Add asymetric padding support for mkldnn conv_transpose
test=develop
* support no need buffer vars in dygraph, test=develop
* fix inference compilation error, test=develop
* update no_need_buffer_vars_inference, test=develop
* add unittests for no_need_buffer_vars_context, test=develop
* refine no_need_buffer_vars by return ref, test=develop
* polish some codes, test=develop
fix the bug of conv_transpose cudnn kernel: before version 1.6, the data_format is AnyLayout in inference model. When use version 1.6 and load the model which is saved by previous version, the error occurs. This is because the cudnn kernel in version 1.6 is not compitable with Anylayout setting.
* Move the codes of fused operators to operators/fused directory.
test=develop
* Correct the op name in cmake.
* Change the use of PADDLE_ENFORCE.
test=develop
* improve split and concat op:
1. support Tensor for argument 'dim' in split op.
2. support Tensor for argument 'axis' in concat op.
test=develop
* redefine function GetDataFromTensor and set unknown output shape to - 1.
test=develop
* add check: Attr(sections) match Input(X). test=develop
* support Tensor for attr(sections) and attr(sections) can contain -1.
add check for attr(sections).
test=develop
* modify error message for concat and call Resize only when necessary. test=develop
* Refine the InferShape of ReadFrom and WriteTo op, and add comment to explain why not call ShareLoD for runtime.
test=develop
* Add comment for ReorderLoDTensorByRank op.
* Add comment for lod_tensor_to_tensor_array op to explain why only call DecreaseLoDLevel for compile time.
test=develop
* ShrinkRNNMemory op should call ShareLoD for compile time.
test=develop
* Add the implementation of IncreaseLoDLevel and add the compile-time check of lod_level in InferShape of sequence_pool.
test=develop
* Refine the unittest of DynamicRNN.
test=develop
* Change PADDLE_ENFORCE to PADDLE_ENFORCE_NE.
test=develop
* replace part of the old implementation, test=develop
* restore concat op, test=develop
* update all ops implemention & delete GetDataTypeOfVar func, test=develop
* All elements in attr(shape) of crop_tensor can be -1, test=develop, test=document_preview
* fix the bug that attr(offsets) should be initialized, test=develop
* - Flushing mkl-dnn cache
test=develop
- Disabled clearing cache for LoadModel
- Added clearing of mkl-dnn cache when Executor is created
test=develop
- Do not clear for GPU places
test=develop
- compilation fix
test=develop
* - Moved clearing of mkl-dnn cache in destructor of executor
test=develop
* - Compilation fix
test=develop
- Reverted conditional clearing of mkl-dnn cache in Executors's
destructor
test=develop
- compilation fix
* 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
* 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
* 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
* Delete PadFuntion, include padding.h instead. test=develop
* move function(IsSymmetricPadding) from conv_cudnn_op.cu/conv_transpose_cudnn_op.cu to padding.h, test=develop
* 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
* Fix conv2d+dequantize squash for residual fusion
test=develop
* Correct int8 input
test=develop
* Add if exclude or include padding in pool2d mkldnn
test=develop
* add kernel for fill_op, test=develop
* modify PADDLE_ENFORCE to PADDLE_ENFORCE_EQ, test=develop
* add op test for fill_op, test=develop
* REGISTER COP CUDA KERNEL, test=develop
* update test_fill_op.py, test=develop
* change FillConstantOpVarTypeInference to FillOpVarTypeInference, test=develop
* fix op test, test=develop
* add head file, test=develop
* add support of matmul with multiple head even different width and height
Original matmul with multiple head supports only the mat_a.width == mat_b.height,
in that case, mat_b will be horizontally split. In this patch, we extend the
support when mat_a.width != mat_b.height but mat_a.width/head_number == mat_b.height,
in this case, mab_b will be vertically split.
One example is A is [3, 8], B is [2, 16], head_number is 4. In this
case, A will be split as [3, 2], B will be (vertically) split as
[2, 4]. The final result will be 4 matrix of 4 matrix of [3,4], i.e. [3, 16]
test=develop
* add support of matmul with multiple head even different width and height
Original matmul with multiple head supports only the mat_a.width == mat_b.height,
in that case, mat_b will be horizontally split. In this patch, we extend the
support when mat_a.width != mat_b.height but mat_a.width/head_number == mat_b.height,
in this case, mab_b will be vertically split.
One example is A is [3, 8], B is [2, 16], head_number is 4. In this
case, A will be split as [3, 2], B will be (vertically) split as
[2, 4]. The final result will be 4 matrix of 4 matrix of [3,4], i.e. [3, 16]
test=develop
* refactor the code of matmul with multiple head even different width and height
test=develop
* Remove constraint that last dimension is forced to be 1 by add
lookup_table_v2 test=develop
* modify into PADDLE_ENFORCE_CUDA_SUCCESS test=develop
* Revert "modify into PADDLE_ENFORCE_CUDA_SUCCESS test=develop"
This reverts commit 8a960bfc61e51aa27c3c529df8fb90b93ebd19f9.
* move api into fluid.embedding test=develop
* fix example code test=develop
* move one_hot into fluid.one_hot
* modify api.spec test=develop
* fix loss shape test=develop
* support change shuffle thread num
* support change train thread num
* fix receive shuffle data of each channel
* data norm stop gradient
* add check thread_tensor type and root_tensor type when merge metric
* remove sleep in shuffle, add config
* add config of pslib client to client communication
* fix xbox str
* add data norm op testcase
* add flush in trainer finalize
* make OpTest check grad inplace even if forward has no inplace, test=develop
* do not run PE when enable_inplace is False, test=develop
* add conv3d cuda kernel for float16 type, test=develop
* refactor OpTest for inplace, test=develop
* add comments, test=develop
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].
* fix conflicts
test=develop
* change mask_bias_reorder
test=develop
* add ComputeMask function to make code clear
test=develop
* change according to reviews
test=develop
* change according to reviews
test=develop
* Add fc_elementwise_layernorm_fuse pass and unittest.
* Add fused_fc_elementwise_layernorm op and its GPU kernel.
test=develop
* Apply fc_elementwise_layernorm_fuse_pass to GPU inference.
* Add the setting of attrs in the definition of binary_op.
test=develop
* Add comment.
* Implement the unittest.
test=develop
* Change the unittest name of layer_norm.
test=develop
* 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
* update elementwise double grad to save gpu memory, test=develop
* update elementwise_mul/div_grad_grad to save memory, test=develop
* remove eval function in eigen statement to save memory, test=develop
* add unittest for elementwise_div_grad_grad without dout, test=develop
* add unittest for elementwise_add_grad_grad without ddx, test=develop
* add float16 cuda kernel for elementwise double grad op, 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
* Implement the operator with sprase matrix multiply
* Update the URL of mklml library.
test=develop
* Disable MKLML implematation when using no-linux.
test=develop
* optimize bp with mkl sparse matrix
test=develop
* tmp add fused_emb_seq layer
* Add the support of padding_idx attribute.
test=develop
* add padding_idx support
test=develop
* implement grad refer lego
test=develop
* Refine the codes related to fc op.
* Add GPU implementation for fc functor.
* Apply fc_fuse_pass in GPU inference.
test=develop
* Change the cmake for fc op.
* Change PADDLE_ENFORCE to PADDLE_ENFORCE_EQ.
* Add an attribute to set the activation type in fc_op.
* Enhance the unittest of fc_op.
test=develop
* Remove the declaration of FCOpGrad back to the header file.
test=develop
* Set default value for newly added arguments in test_fc_op.
test=develop
* Enhance fc_fuse_pass to enable fusing relu.
* Allow print the shapes of var_desc in graph.
test=develop
* Enhance fc_fuse_pass_tester.
* Remove the use of PADDLE_ENFORCE.
test=develop
* Correct the number of ops after fusing.
test=develop
* Fix a typo.
test=develop
* Set activation_type to null when there is no relu in fc.
test=develop
* Refine fc_fuse_pass's codes.
* Enable the set of shape for tensor.
* Refine repeated_fc_relu_pass and add unittest.
test=develop
* add kernel for unstack_op, test=develop
* add kernel for unstack_op, test=develop
* add kernel for unstack_op, test=develop
* adjust the code format, test=develop
* modify some comment, test=develop
Michał Gallus
zhouwei25
wangchaochaohu
zhaoyuchen2018
WangXi
Leo Zhao
gongweibao
Yihua Xu
Zhang Ting
Liufang Sang
hutuxian
zhongpu
danleifeng
Adam
yaoxuefeng
guofei
ruri
Kaipeng Deng
whs
Chen Weihang
ceci3
lilong12
Zhang Ting
Yiqun Liu
Aurelius84
joanna.wozna.intel
LielinJiang
Wojciech Uss
liym27
Huihuang Zheng
Chengmo
Tao Luo
Zeng Jinle
123malin
hong
Wilber
zhang wenhui
silingtong123
Pei Yang
石晓伟
Aurelius84
lidanqing
Jacek Czaja
tangwei12
qingqing01
Yibing Liu
Leo Chen
Double_V
chengduo
JesseyXujin
Yuan Shuai
Guo Sheng
hong19860320
zhupengyang
lijianshe02
GaoWei8
wopeizl
huzhiqiang
SunGaofeng
FDInSky
wangguanzhong
liuwei1031
Li Fuchen
chengjuntao
Zhaolong Xing
Bob Zhu
jhjiangcs
Yang Zhang
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chengjuntao
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