* change the output format of C++ backward api

* fix merge conflict

* fix sparse api code auto-gen

* fix eager_gen bug

* fix bug of output is null

* fix bug of conv2d_grad_impl

* fix optional grad

* fix bug of eager-gen double_grad

* fix bug

* fix multiply_double_grad bug

* remove node pruning

* change logic for optimize

* modifty

* Create elementwise_heaviside_op.cc

* add ElementwiseHeavisideFunctor

* Create test_elementwise_heaviside_op.py

* 增加heaviside的python接口

* add heaviside in white list

* 增加heaviside的签名

* 增加heaviside的核函数

* 增加heaviside梯度的核函数

* 增加heaviside梯度的注册

* 调整代码格式

* Update elementwise_sig.cc

* add heaviside in __all__

* Update heaviside docs

* Update math.py

* Update math.py

* Update math.py

* Add AdamW jit kernel

* Second implementation

* Add missing header

* Correct number of jit kernels in the test

* the copy type of data transform for gpu_pinned to gpu change from syna to async

* refactor code

* update xpu depends
*test=kunlun

* minor
*test=kunlun
Co-authored-by: Nroot <root@yq01-sys-hic-p40-0091.yq01.baidu.com>

* fix bug of batch_norm_grad kernel with fp16

* format code

* remove useless lod copy

* fix test failed

* revert meta change

* revert tensor change

* Extend python einsum interface to make einsum_v2 support multi-operands and switch it to default.

* add opt_einsum dependence

* add yaml and support eager model

* fix by code review

* add double yaml

* add inline func

* opt attr eaque perf

* opt attr select code

* fix one hot infermeta

* polish get attr impl

* fix tests failed

* add testcases

* set device id of Place() to get GPUContext needed by LimitGridDim in ElemwiseGradBroadcast

* fix code style

* Fix the race condition in cumsum operator

* Optimize cumsum operator

* optimize performance of dygraph

* optimize performance of dygraph and elementwise_add

* optimize the trace op

* fix bug

* fix bug

* fix unittest bug

* fix code format

* unify utils naming style

* polish details

* add move construct for KernelSignature

* add noexcept

* 增加PixelUnshuffle的形状推断

* 增加PixelUnshuffle的算子注册

* 增加PixelUnshuffle及其梯度的核函数

* 增加PixelUnshuffle算子的描述

* 增加PixelUnshuffle算子的签名

* 在Python层面增加PixelUnshuffle

* 增加PixelUnshuffle的单测

* Update test_pixel_unshuffle.py

* test=document_fix

* Update test_pixel_unshuffle.py

增加对extra_repr的测试

* 修正代码格式

* Update test_pixel_unshuffle.py

修正对extra_repr的测试

* 修改pixel_unshuffle核函数的实现位置

* 修正代码格式

* 完善对输入的检查

* Update test_pixel_unshuffle.py

* 完善pixel_unshuffle的输入检查

* Update pixel_unshuffle_op.cc

* Update unary.cc

* add pixel_unshuffle

* Update test_pixel_unshuffle.py

* Update vision.py

* 调整代码格式

* Update vision.py

* Delete extra spaces

* Update pixel_unshuffle_sig.cc

* Update vision.py

* Update vision.py

* add PixelUnshuffleGradInferMeta

* remove PixelUnshuffleOpArgumentMapping

* Update pixel_unshuffle_op.cc

* 调整pixel_unshuffle及其梯度的核函数的实现位置

* Update pixel_unshuffle_op.cc

* [Eager] Support final_state_adam when argument grad (position 1) is selected_rows

* Remove needless code

* Add adam_dense_param_sparse_grad kernel

* optimize the performanece of sum api

* optimize IsDenseTensorInput

* remove debug log

* polish some impl

* add lost attr type

* polish details

* fix error type

* polish in name lists

* add double attr

* adapt infrt attr parse

* full api fix

* when out is None, go old dygraph mode

* by static check

* first version: support 2-inputs forwards. TODO: 1. backward  2. BroadCast  3. MultiVariable

* time out -> 120

* change samll vector size

* Update type_defs.h

* change sequential logic

* change some quotes

* add some notations

* change wrong note style.

* merge all phi lib to several big static lib

* merge all phi lib to several big static lib

* Add infermeta for ChannelShuffle

* Create channel_shuffle_grad_kernel.h

* Create channel_shuffle_kernel.h

* Create channel_shuffle_sig.cc

* Create channel_shuffle_op.cc

ChannelShuffle算子的描述

* Create channel_shuffle_kernel_impl.h

ChannelShuffle核函数的实现

* Create channel_shuffle_grad_kernel_impl.h

ChannelShuffle反向核函数的实现

* Add kernel register of channel shuffle and grad

注册ChannelShuffle及其反向的核函数

* add nn.functional.channel_shuffle

* add nn.ChannelShuffle

* Create test_channel_shuffle.py

* Update example of ChannelShuffle in vision.py

* Update test_channel_shuffle.py

* 修改channel_shuffle核函数的实现位置

* 修正代码格式

* 删除多余空格

* 完善channel_shuffle的错误检查

* Update unary.cc

* Update channel_shuffle_op.cc

* Update test_channel_shuffle.py

* Update unary.cc

* add channel_shuffle

* Update test_channel_shuffle.py

* Update vision.py

* 调整代码格式

* Update channel_shuffle_sig.cc

* 更新ChannelShuffle的文档

* 更新channel_shuffle的文档

* remove ChannelShuffleOpArgumentMapping

* add ChannelShuffleGradInferMeta

* Update channel_shuffle_op.cc

* 调整channel_shuffle及其梯度的核函数的位置