* fix scale kernel configuration error where input numel is 0

* fix code stype

* add unit test case for scale op when numel of input x is zero

* fix ci codestyle check

* add cpu and gpu unit test case for scale op when numel of input x is zero

* add uninitialized judgment for input of scale

* [Zero-Dim] support input 0D Tensor for sundary api

* fix comment

* Split kernel registered, tests for uint/int added

* Split quantized

* Split output scales calculated only once

* NearestInterp test fix reversed

* DequantizeOutputs corrected

* removing dependent to fluid/framework/eigen.h in phi

* more fix according to PR-CI-Py3 fail

* 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

* Define ConvRunner to wrapper the call of cudnn conv functions.

* Use ConvKind in SearchAlgorithm.

*test=kunlun

add roll and roll_grad kernels and strided_slice and strided_slice_grad kernels, test=kunlun (#47368)

* add stat tool

* add roll and roll_grad kernels and strided_slice and strided_slice_grad kernels, test=kunlun

* init changes

* bnorm

* method signature

* change order

* bnorm

* removed unused args

* remove fwd funcs

* migrate conv grads

* 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

* [XPU] add cumsum op. test=kunlun

* try to fix linker. test=kunlun

* try to fix linker. test=kunlun

* try to fix linker. test=kunlun

* debug. test=kunlun

* update xpu.cmake. remove unnecessary codes. test=kunlun.

* 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

* Migrate pool+grad to PHI

* Update paddle/fluid/operators/mkldnn/test_mkldnn_op_nhwc.cc
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>

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

* Update paddle/phi/kernels/onednn/pool_kernel.cc
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>
Co-authored-by: NChen Weihang <chenweihang@baidu.com>
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>
Co-authored-by: NChen Weihang <chenwhpro@163.com>
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>

* 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

* init

* adjust imports

* support postops

* format codeblocks

* revert changes to softmax
Co-authored-by: NChen Weihang <chenweihang@baidu.com>
Co-authored-by: NYuanRisheng <yuanrisheng@baidu.com>

* 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

* Standardise batch norm

* standardize conv3d and depwise_conv2d

* fix ci bugs

* [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

* 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