* [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

* move cudnn hardcode outside GetExpectedKernelType

* add header file

* debug

* update interpreter_util with hardcode

* update interpreter_util headerfile

* solve activation hardcode

* debug with CI

* add mkldnn_op_list header file

* temporarily uncomment mkldnn

* temporarily uncomment mkldnn

* delete sequence_softmax cudnn hardcode

* add hardcode to data_transfer.cc

* update data_transfer headerfile

* try fix segment fault

* update cudnn&miopen_helper

* reset HasAttr of DygraphExctnCtx

* debug, this commit should pass all CI

* debug should pass CI, temporarily disable activation

* debug should pass CI

* fix default_attr=nullptr bug

* clean debug 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

* 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>

* fix nvprof_nvtx_push interface bug

* clean unused code: piece.cc/h

* clean usage

* namespace modify

* update by comment

* remove using lodtensor part1

* polish history code format

* paddle-inference support custom-ops
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>

* fix tolower
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>

* 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

* support pure bfloat16

* support bf16 linear

* update PR to pass CI

* tiny fix where_grad_kernel.cu

* add bfloat16 to selu_grad to pass CI

* fix selu grad compilation error

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)

* remove needless using tensor

* remove needless using tensor

* resolve conflict

* replace tensor using

* fix format error

* revert needless changing

* fix rocm and npu compile error

* fix cinn compile error

* fix format error

* fix mkldnn format error

* fix mkldnn format error

* fix cinn compile error

* fix cinn compile error

* fix cinn compile error

* resolve conflict

* support int64 non-broadcast

* support broadcast case for int64 index

* fix bug

* support more Arity

* remove some codes

* upgrade patchelf to v0.15.0 to pass CI build

* fix bug

* fix patchelf installation

* add debug flags

* remove useless codes

* fix viterbi_decode and set_value op uts

* remove always enable int64

* [CustomDevice] add custom_device_resource_pool & device_event_custom_device

* update

* update

* update

* update

* add gemm_epilogue

* xpu-paddlepaddle-40 [任务] fused_gemm_epilogue 支持 test=kunlun

test=kunlun

* support depthwise_conv2d ops
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* fix duplicate name
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>
Co-authored-by: NZhaorui Chen <zhaoruic@graphcore.ai>

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support fp16 of adam operator in xpu environment. test=kunlun

* support fp16 of adam operator in xpu environment. test=kunlun

* support fp16 of adam operator in xpu environment. test=kunlun

* add merged_momentum *test=kunlun

* add merged_momentum *test=kunlun

* add fp16 to merged_momentum,*test=kunlun

* change dist_model.cc

* add merged_momentum unittest and  change momentum,test=kunlun

* add merged_momentum unittest and  change momentum,test=kunlun

* add merged_momentum unittest and  change momentum,test=kunlun

* add merged_momentum unittest and  change momentum,test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* support beam_search operator on xpu. test=kunlun

* fix beam_search operator bugs on xpu. test=kunlun

* fix beam_search operator bugs on xpu. test=kunlun

* fix beam_search operator bugs on xpu. test=kunlun

* fix beam_search operator bugs on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* support beam_search_decode operator on xpu. test=kunlun

* change to async mode for xpu multi-card training in static graph mode

* minor bugfix

* irrelevant. move to another pr

* move change to other pr

* fix stream issue

* fix 'stream not meet with current context' error

* fix branch diverge, test=kunlun

* xpu unittest grad compute supports more types, *test=kunlun

* add instance norm xpu, *test=kunlun

* [XPU] add some collective ops. test=kunlun

* use XPUOpTestWrapper. test=kunlun

* skip kl1 for collective ops. fix typo: deivce -> device. test=kunlun

* add init file

* add op definition and infermeta

* add kernel definition funcs

* add broadcast infer shape

* add gpu forward kernel

* delete SUB and DIV

* add x_grad

* add template

* add e_grad for min and max

* fix small bug

* temp commit

* temp commit

* add e_grad for sum and mean

* fix some compile bug

* fix compile bugs

* fix compile problem

* add sum forward unittest

* fix broadcast error, add kernel sig, register e_grad, change unit test

* fix grad

* add temp grad fix

* temp commit

* add min max unittest

* add max, min unittest, fix mul bug

* add cpu forward sum and mean

* add forward min max, fix mean unittest

* add cpu backward min max

* fix code-style

* add backward sum mean

* fix rocm ci

* set uniitest timeout

* fix bug of x broadcast to e, gpu grad

* fix bug of x broadcast to e, cpu grad

* rename BOOST_GET_CONST macro

* fix rocm ci

* mv graph_send_e_recv to graph_send_ue_recv

* move out_size to IntArray

* add eager op test

* fix max pool type bug, add unittest for api

* revise api doc

* add fp16 for atomic min and max, add unittest

* add unittest

* add fp16 support for graph_send_recv

* fix unittest fp16 bug

* change OutSizeTensor to Out_size

* move E to Y

* add copyright, fix comment

* review code

* fix thread block size

* fix thread block size

* change api attribute name: pool_type to reduce_op, compute_type to message_op

* change api attribute name, move pool_type to reduce_op, move compute_type to message_op