* [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

* 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

* remove redundant imports

* migrate softmax

* 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

* merge dev

* fix map at error

* adjust attribute

* adapt funcs to PHI
Co-authored-by: NChen Weihang <chenweihang@baidu.com>
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>

* fix ci bug

* test

* add storage properties for npu

* fix compile failed

* fix api name mismatch

* polish design

* Standardise batch norm

* standardize conv3d and depwise_conv2d

* fix ci bugs

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

* polish code

* [XPU] add int64 support for slice and subtract. test=kunlun

* try to fix xpu compile. test=kunlun

* try to fix xpu compile. test=kunlun

* try to fix xpu compile. test=kunlun

* remove unnecessary modification. test=kunlun

* Add build option for CUDNN Frontend API

* Fix review comments

* Change namespace for cudnn_frontend.h

* first commit

* transpose_kernel_optimization

* first complishment of transpose op

* second commit

* refine code logics of tranpose_kernel

* refine transpose kernel

* first commit

* fix DtoD copy bugs for hip

* refine code according to the PR advice

* change dim to int64_t type.

* fix some type error

* standard_api

* add hardtanh

* Einsum Support Complex

* code fix

* add unittest for complex grad with einsum

* set rtol=1e-4

* fix

* 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

* add unittest for einsum-v2-trace and diagonal

* repeat labels.

* einsum support repeated labels.

* forward is ok for diagonal and undiagonalized.
TODO: check backward is ok by our theorem.

* backward is ok!

* fix by PR suggestions.

* fix ci error

* fix ci error

* fix ci warning

* [CustomDevice] GetCCLComm add custom device support

* update

* update

* update

* replace executor in conditional_block_op.run with standalone_executor

* add block_id as the argument of standalone executor's method run; add print for program

* fix scope bug about conditional block op

* fix bug: unnecessary return of fetch value

* fix typo

* fix: quantization will set variable persistable, and these variables must exist in global scope

* add interpretercore cache for conditional block op but not activate in default

* fix bug: local scope reuse for conditional block op

* reset scope when conditional block op runs

* fix typo

* fix typo and code style

* add build scope for conditional block op

* add skip for transfer_layout kernel

* refind code

* fix reset_scope

* fix reset_scope

* refine code

* refine code

* refine code

1. remove flag use in conditional_block_op
2. pass execution_config to BuildOpFuncList instead of individual parameter

* refine code

* remove the use of FLAGS_control_flow_use_new_executor_cache

* change FLAGS_control_flow_use_new_executor to false

* generate static graph code for some activation op

* fix example code of cosh

* make all cpp tests dynamic linked to libpaddle.so

* add comments

* keep old cc_test for some tests

* fix some ut

* make some ut use cc_test_old

* fix typos and fit for win32

* fix lib path

* fix some tests

* skip lite test

* fit for rocm

* fit for cinn

* fit for mac

* fit for win32

* skip inference ut

* skip  windows

* fix coverage

* - halfway transforming transpose grad

- Fixes

- buildable

* - lint

* rerunning the process

* fix reduce_any kernel data race on sharedMem

* use bit operation instead of div & mod

* unbranch

* modified according to PR comments

* remove prior_box mkldnn hard code

* add header file

* simplify PD_VISIT_TYPE

* decouple dependency between prior_box and density_prior_box

* fix pragma omp parallel error

* bypass #pragma omp_parallel_for error

* polish code

* remove visit_type headerfile

* polish codestyle

* polish codestyle

* try fix CI error

* add testcase, datatype=float64

* reset test_prior_box testcase

* add datacheck to DenseTensor

* update template name

* call prior_box with macro expand