* fix bug

* fix bugs in api_gen tools

* generate static graph code of some ops by yaml, test = develop

* generate static graph code of some ops by yaml, test = develop

* [Eager] Fix paddle.grad interface

* [Eager] Support minimum SubGraph for GeneralGrad

* Add needed_nodes to prune grad graph more thoroughly

* [Eager] Add grad_node_trans_mapping_ to record which grad_node has been transformed to AccumulationNode

* [Eager] Fix paddle.grad interface

* Polish code

* remove potential_stop_node

* Add endding_nodes to enhance genSugraph logic

* clear endding_nodes_

* polish code

* rename endding_nodes to endding_nades_

* Refactor grad interface

* Add register_hook case to fix coverage-ci

* Fix code format

* Refactor general_grad

* Add more code comments

* call clear directly to release GradSlotMeta

* fix a mistake

* fix matmul/ multiply kernel logic and optional input in yaml, fill zeros logic and so on.

* fix batch_norm_double_grad yaml optional config

* fix tanh_triple_grad yaml and kernels

* fix MultiplyTripleGradKernel optional logic

* fix merge mistake

* fix compile error

* remove legacy attr for bn

* polish code

* fix some kernel

* merge develop

* fix error

* remote log

* fix kernel with full like

* hide value log behind

* hide value log behind

* fix matmul_triple grad
Co-authored-by: NWeilong Wu <veyron_wu@163.com>

* rename kernel for top_k, slogdeterminant, generate_proposals_v2

* fix bug

* fix error log for yaml check

* remove grad_op of increment

* rename some kernel name

* fix compile problem

* isort all files

* revert conflicting files

* revert conflicting files

* revert conflicting files

* generate static graph code for lerp by yaml, test=develop

* modify the op_compat.yaml of lerp, test=develop

* generate static graph code for lerp by yaml, test=develop

* modify the op_compat.yaml of lerp, test=develop

* remove the 'attrs' of lerp, test=develop
Signed-off-by: lizhiyu02 <1528794076@qq.com>
Signed-off-by: lizhiyu02 <1528794076@qq.com>

* generate static graph code for some operators

* add some ops generate

* revert npu gelu

* add fluid_op_name_map

* rename some kernel name

* add comments for op-kernel map

* refine map name of op to kernel

* attr ready

* op ip ready

* start dynamic

* end2end ok

* input shape to map, stat by op

* layer wip

* first version ready

* fix proto depds

* fix profiler deps

* fix flops typo, rm tuple shape

* 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

* [NPU] add _npu_identity op and api, test=develop

* fix doc

* address comments

* standard api

* fix xpu bugs

* simplify depthwise_conv2d phi kernel selection

* fix depthwise_conv2d

* generate static graph code for some ops by yaml

* remove deleted files

* update cmake

* update cmake

* udpate cmake

* standard api

* fix sparse bugs

* fix xpu bugs, test=kunlun

* remove hard code for custom unittest

* open ci, test=kunlun

* deal with conflict

* generate static graph code of some op

* polish code

* fix bug

* update default value

* move fluid op generator into fluid

* remove parsed op

* resolve sig undef error

* append python interp find logic

* remove dup code

* [CodeStyle][py2][U004] unecessary explicit `object` inheritance in class definition

* fix an increment

* support pow_double_grad op

* add unit test for pow double grad

* fix pow double grad

* optimize pow double grad kernel

* fix pow double grad kernel

* generate static graph code for some activation op

* fix bug

* fix infermeta of selected_rows

* add sin double grad operator

* add sin double grad test example

* move sindoublegradopmaker to backward.yaml

* fix sindoublegrad code

* simplify sindoublegrad functor

* [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

* support generating static code of high order grad op by yaml

* polish code

* standard_api

* add hardtanh

* gene static graph code for ceil, expm1 op

* gene static graph code for some activation op

* fix bug

* revert doc of silu and logsigmoid

* 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>

* standard api

* fix ci bugs

* fix ci bugs

* fix ce bugs