* 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
* test=develop add a argument for softshrink python api
* test=develop fix doc format
test=develop fix doc format
* test=develop fix API.spec
test=develop fix API.spec
* Support looking up embeddings from BoxPS.
* Add a _pull_box_sparse op, for now this op is not exposed to users.
* Add a BoxHelper class, providing 'BeginPass', 'EndPass', 'FeedPass' functions and so on.
* Add 'BoxPSDataset' in python code.
* Add a compile options WITH_BOX_PS and a MACRO PADDLE_WITH_BOX_PS.
* Add UT.
* More concrete information pls refer to: https://github.com/PaddlePaddle/Paddle/pull/18982
* support tensor input with padding for warpctc op
* merge with develop
* test=develop
* modified python API examples test=develop
* nn.py is modified for code coverage test=develop
* update documents info about warpctc op in API.spec test=develop
* add test_warpctc_with_padding in test_layers test=develop
* add warning log for cuda_version back to warpctc_op.cc
* modify API.spec for warpctc op test=develop
* modify API.spec
* update warpctc test to new CompiledProgram API test=develop
* modify code examples for warpctc op test=develop
* modify API.spec for warpctc op test=develop
* modify API.spec for warpctc op test=develop
* change the default value of summarize from -1 to 20 in Print op to improve ease of use, test=develop
* change the doc of API Print to make the document easier to understand, test=develop
* instag lod tensor impl
* First PR for instag
* First PR for instag
* Before adding Selection Rows.
* Change name from instag to filter_instag, add upgrade the impl of filter_instag
* Change name from instag to filter_instag, add upgrade the impl of filter_instag
* Fix yapf error in gradient_checker.py to pass Travis-CI
* Fix Filter Instag Grad test=develop
* Fix Filter Instag Grad test=develop
* 1) Fix API.spec, add filter_instag Op. 2) Add Vector Support for CUDA. test=develop
* Impl Loss_weight and empty output handler
* change Loss Weight datatype to Float32, and add Loss Weight as 2nd output
* 1) Support Tensor Input(without LOD) 2) Add Unit test
* Filter By Instag Final test=develop
* Update API.spec for filter_by_instag test=develop
* Update API.spec for filter_by_instag 2 test=develop
* Add Filter By Instag Coverage
* code format of test_layers.py
* code format test_layers.py test=develop
* Make API args more readable test=develop
* Make API args more readable and pass code format test=develop
* Filter By Instag Op, Rename Map to Index Map test=develop
* Filter By Instag Op, code format err in filter_by_instag_op.cc test=develop
* Filter by instag op: code format of cpp files test=develop
* Filter by instag Op: Api spec modification test=develop
* Filter by instag Op: Api spec doc id modification test=develop
* Filter by instag Op: Api spec and doc preview test=develop test=document_preview
* Filter By Instag Op, fix doc erro test=document_preview test=develop
* Filter By Instag Op, fix doc err and Api spec test=document_preview test=develop
* Filter By Instag Op, fix Api spec test=document_preview test=develop
* Filter By Instag Op, fix Paddle Encoforce deprecated warning test=document_preview test=develop
* Filter By Instag Op, fix Paddle Encoforce deprecated and code format warning test=document_preview test=develop
* add hard_swish activation op (new op)
test=develop
* remove redundancy files
* modify document content of HardSwish OP
* add API test in test_layers.py
* add dynamic_graph for test_hard_swish
* test=develop
Add the op of unique_with_counts, the op is calc the unqiue input of data, and output the corresponding indices and count of data.
* test=develop
Check the input and dtype in the op of unique_with_counts
* test=develop
test=document_preview
update the API.spec for `unique_with_counts`, at the same time, optimize the python api in the op of `unique_with_count`
* test=develop
test=document_preview
Fix some python api problem in the op of `unique_with_counts`, and change the error messsage in this op.
* Fix some API problem in the op of `unique_with_counts`
test=develop
test=document_preview
* test=develop
test=document_preview
Fix the api sample of op `unique_with_counts`, and update api.spec
* support center loss
* change tensor copy api to high level api tensorcopy
* test=develop rewrite the center_loss cuda_kernel to make it faster
and add document of the center loss api,also update test function
* test=document_preview test=develop
update document of center loss
* test=document_preview test=develop
modify API.spec modify test code remove nouse const_cast
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