* 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

* standard_api

* add hardtanh

* 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

* [XPU] update xpu cmake to 1016. test=kunlun

* fix special case of transpose op. test=kunlun

* namespace modify

* update by comment

test=kunlun

* migrate sigmoid with cross entropy, and tile xpu kernels to phi, test=kunlun

* migrate add_n kernep to phi, test=kunlun

* fix bugs of tipc, test=kunlun

Add index_select, index_select_grad, reduce_min kernel and their unittests for kunlun. Add registers of index_select, index_select_grad, reduce_min, sqrt, sqrt_grad to xpu2_op_list.test=kunlun. (#46557)

* [XPU] update xpu cmake to 0923. test=kunlun

* [XPU] update xpu cmake to 0928. test=kunlun

* add phi reduce_sum test=kunlun

* add fhi reduce_sum test=kunlun

* add fhi reduce_sum test=kunlun

* migrate sigmoid with cross entropy, and tile xpu kernels to phi, test=kunlun

* migrate add_n kernep to phi, test=kunlun

* support bmm and bmm_grad in xpu

* add error removal

* test=kunlun

* refactor code for better structure

* test=kunlun

* add fp16 kernel for bmm

* test=kunlun

Migrate scale and scatter to phi, and modify the code style for roi_align_kernel. test=kunlun (#45938)

* [XPU] update xdnn to 0906. test=kunlun

* [XPU] update xdnn to 0907. test=kunlun

Adapt tensor output_size for conv2d_transpose and depthwise_conv2d_transpose

* [OpAttr]Fix complation error of XPU from Pool2dGradKernel

* test=kunlun

* migrate memcpy to phi

* fix typo error

* fix typo error

* fix  bug and testcase

* fix typo, uniform_random_kernel.cc header

* fix Alloc pinned bug

* change GPUContext::GetPinnedPlace

* add GetPinnedPlace function

* add GetPinnedPlace function

* restore default throw error

* fix Unimplemented error

* skip StandaloneExecutor testcase

* delete memcpy_sig

* move one_hot_v2, p_norm, p_norm_grad to phi

* move one_hot_v2, p_norm, p_norm_grad to phi

test=kunlun

* remove unused header file

* remove unused header file

test=kunlun

* move elementwise_sub and elementwise_sub_grad XPU kernel to PHI,test=kunlun

* modify code style,test=kunlun

* modify elementwise_subtract_grad_kernel.cc,test=kunlun

* modify elementwise_subtract_kernel.cc,test=kunlun

* modify elementwise_subtract_grad_kernel.cc,test=kunlun

* modify elementwise_kernel.cc and elementwise_subtract_kernel.cc,test=kunlun

* modify codestyle,test=kunlun

* modify elementwise_kernel.cc,test=kunlun

* [OpAttr]ksize of pool2d support Tensor type

* fix unittest

* add unittest