* [remove fluid] PRelu BilinearTensorProduct

* [remove fluid] PRelu BilinearTensorProduct Conv2DTranspose SequenceConv RowConv

* [remove fluid] PRelu BilinearTensorProduct Conv2DTranspose SequenceConv RowConv

* [remove fluid] PRelu BilinearTensorProduct Conv2DTranspose SequenceConv RowConv

* [remove fluid] PRelu BilinearTensorProduct Conv2DTranspose SequenceConv RowConv

* [remove fluid] PRelu BilinearTensorProduct Conv2DTranspose SequenceConv RowConv

* [remove fluid] PRelu BilinearTensorProduct Conv2DTranspose SequenceConv RowConv

* [remove fluid] PRelu BilinearTensorProduct Conv2DTranspose SequenceConv RowConv

* [remove fluid] GRUUnit NCE

* [remove fluid] GRUUnit NCE

* [remove fluid] GRUUnit NCE

* [remove fluid] GRUUnit NCE

* [remove fluid] drop_out PI

* [remove fluid] drop_out PI

* [remove fluid] drop_out layernorm

* [remove fluid] drop_out layernorm

* [remove fluid] drop_out layernorm

* [remove fluid] drop_out layernorm

* [remove fluid] under unittesets of instancenorm

* [remove fluid] under unittesets of instancenorm

* [remove fluid] under unittesets of instancenorm

* [remove fluid] under unittesets of instancenorm

* [remove fluid] under unittesets of instancenorm

* support default use_gpudnn=True

* fully support cudnn in phi

* add header file

* add white_list, verify accuracy

* phi support all cudnn

* opt affine_grad

* try different arches of pretrained_model

* try different arches of pretrained_model

* add debug string

* debug eager_method

* add debug string, pass all local ctest

* polish all debug code

* delete use_cudnn relevant code autogen

* fix depthwise_conv2d

* Share all other members of Tensor except use_cudnn

* polish codes according to review opinion

* polish codes according to review opinion, fix bug

* polish codes according to review opinion, opt performance

* polish codes according to review opinion, fix pooling.py

* standard api

* fix xpu bugs

* remove paddle.fluid.dygraph.nn.conv2D

* fix ut

* fix conv fp16 UT

* [CodeStyle][py2][U008] remove unnecessary args in `super()`

* remove remained args

* revert changes in test_pylayer_op

* Revert "revert changes in test_pylayer_op"

This reverts commit ff185a9ae738afac3b0264f61bde6c6b7f72e7c4.

* revert some changes in example code

* Standardise batch norm

* standardize conv3d and depwise_conv2d

* fix ci bugs

* add extra attr property set

* add type_info for all context

* add onednn context to all context

* fix context compile error

* simplify conv kernel args

* pass runtime attr into dev_ctx

* fix marco error

* clear conv_grad_kernel extra args

* merge conv_grad_grad into conv_grad

* clear conv2d_grad_grad extra attrs

* clear yaml and eager extra attr

* fix conv1d error

* change to thread local

* fix npu compile failed

* try to fix windows compile failed

* add conv2d onednn phi kernel

* fix ci bugs (#36)

* fix compile bugs (#38)

* fix extra input transform bug (#39)

* support dynamic created attr (#40)

* reset extra info gen code

* rm conv_grad_grad kernel

* reimpl pass attr adapting

* add int attr support

* remove vector inputnames creating

* fix map at error

* Update paddle/phi/kernels/onednn/conv_grad_kernel.cc
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>

* remove useless extra attrs

* replace mkldnn_engine by onednn_engine
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>

* fix typo `Fasle`/`Flase` -> `Flase`

* fix typo `Ture` -> `True`

* update config

* re-blacken python code

* temporarily disable date and diff_py_file

* skip a format

* [CodeStyle] remove all future import

* revert test_error.py

* restore future import in example code

* trim trailing whitespace

* fix `.cmake-format.py`

* revert npu ut changes, avoid npu ci error

Adapt tensor output_size for conv2d_transpose and depthwise_conv2d_transpose

* [Eager] fix pool2d interface under eager mode

* add use_gpudnn for pool2d

* fix pool2d yaml conflicts

* fix pool2d yaml

* [Eager] fix spectral_norm interface under eager mode

* fix spectral_norm yaml config

* move_group_norm

* move group norm backward

* fix code format

* modify code according comment

* use yapf to format all python file

* yapf exclude two unittests file for they rely on writing and reading file, and format will break them

* disable diff_py_file because too many diff files cause command following failed

* add yaml

* fix infrt compile bugs

* polish append op using

* fix var error

* fix group norm impl

* add layer norm infermeta

* add layer norm yaml

* polish layer norm infer meta

* add layer norm to black list

* [Eager] Support test_layers's test cases switch to eager mode

* Update batch_norm _C_ops action to fix CI

* Use None instead of new EmptyTensor

* Updated var name

* Make sure to switch eager mode, Fix Coverage_CI

* Remove _non_static_mode statement

* Remove batch_norm dispensable input statement

* Polish batch_norm code

* Fix CI issue

* update

* add conv yaml

* add backward

* remove useless code

* fix bug

* fix bug

* revert fluid dygraph conv2d

* remove useless infermeta function

* fix meta fn deluplicat error

* conv using custom impl

* remove amp include

* fix bug

* use cudnn = true

* fix test mkldnn caching bug

* update

* fix bug

* refactor eager flags

* fix flags error when we switch from eager to dygraph

* fix ci problem

* fix ci

* fix ci

* merge develop and fix code style

* merge develop and fix code style

* fix op test error

* fix op test error

* fix op test error

* fix op test error

* fix op test error

* merge develop

* eager, test=develop

* fix bug, test=develop

* eager, test=develop

* merge legacy to fluid

* eager, test=develop

* eager, test=develop

* Refactor TensorAdd func by template and remove gradient_accumulation in eager

* Remove needless target name

* eager, test=develop

* eager, test=develop

* Use overload instead of template

* Remove legacy code

* Remove legacy code

* selectedrows, test=develop

* Remove DataType test

* eager, test=develop

* eager, test=develop

* support gan, test=develop

* Using Tensor directly instead of using EagerTensor

* support gradient_accumulation

* make test_imperative_lod_tensor_to_selected_rows longer

* make test_imperative_lod_tensor_to_selected_rows longer

* refine code

* ptb, test=develop

* Rename all EagerTensor to Tensor

* Rename some EagerTensor to Tensor

* rename EagerTensor to EagerVariable

* eager, test=develop

* eager, test=develop

* eager, test=develop

* eager, test=develop

* add more test

* eager, test=develop

* Support copiable selected rows and merge develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* refine, test=develop

* clear grad, test=develop

* merge, develop

* merge, develop
Co-authored-by: NJiabinYang <360788950@qq.com>
Co-authored-by: NWeilong Wu <veyron_wu@163.com>

* add more int id type support for embedding

* add ut

* add more ut

* fix ci error

* Added HCCL backend support in dynamic graph mode

* fix segmentation fault

* add ut

* [NPU] fix depthwise_conv2d_grad, test=develop

* remove debug files, test=develop

* fix paddle.optimizer test=document_fix

* fix paddle.optimizer test=document_fix

* fix bugs in paddle.nn.functional document test=document_fix

* fix bugs in paddle.nn.functional document test=document_fix

* fix bugs in paddle.nn.functional document test=document_fix

* fix bugs in paddle.nn.functional document test=document_fix

* fix nn formula bugs test=document_fix

* fix nn formula bugs test=document_fix

* fix nn formula bugs test=document_fix

* cache core.ops, test=develop

* refine, test=develop