* Reorganize the forward codes of flash-attention.

* Fix forward.

* Remove some noused codes.

* Simplify codes and fix backward.

* Change all LOG(INFO) to VLOG and fix the backward.

* add scale for AF2 flash_attn, much thanks to xreki and shaojie for debug these codes

* decrease the effect of debug print on performance

* Unify the initialize of flashattn arguments.

* Rewirte the reshape of temp_mask and temp_bias.

* API support use_flash_attn.

* Fix compiling error on CI.

* Try to crop the flash-attention lib.

* Correct the condition of whether can use flash-attn.

* Remove the softmax_out argument.

* Remove is_causal.

* Polish codes.

* Fix qkv_transpose_out's shape and scaling of Q * K.

* Update commit of flash-attention.

---------
Co-authored-by: NLiu Yiqun <liuyiqun01@baidu.com>

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* [CustomDevice] add inference MP support, PART0

* update

* add pad op for xpu

* add pad op for xpu

* add pad op for xpu

* add_depthwise_conv2d_transpose

* Update test_depthwise_conv2d_transpose_op_xpu.py

删除print语句

* fix as review, add fp16 conv2d_transpose

* fix unittest of bn and reduce_mean

* fix bn unittest

* fix ci

* fix ci

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* bind sparse_coo_tensor, reduce_max/max_int32, range/arange_int32, equal_bool, scatter_grad_float32, nearest_interp_int64 kernels

* add more unit tests; modify compilation logic of xpu sparse kernels

* test,test=develop

* test,test=develop

* clang format

* add cumsum_grad op to xpu2_op_list

* Optimize prompt information

* add_information

* add_information

* add flags for phi

* fix compile bugs

* fix ci bugs

* fix inference bugs

* fix cinn' bugs

* fix cinn bugs

* perfect code according comment

* fix ci bugs

* fix ci bugs

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test ,test=develop

* [XPU] add numel op

* [XPU] update numel/size op registration

* remove ASCEND* keyword

* update docstring

* bug fixed

* bug fixed

[Zero-Dim] support 0-D tensor for reduce/reshape/stack/prelu/expand_v2/gaussion onednn kernels (#52185)

* support 0-D tensor for reduce/reshape/stack/prelu/expand_v2/gaussion ops

* fix gaussian random mkldnn op ut

* delete WITH_ASCEND_CL

* delete NPU/ and WITH_MLU

* [enforce.h Decouple logging.h] Delete glog/logging.h from enforce.h

* Add logging.h for profiler.cc

* Add logging.h for gloo_utils.h

* Add logging.h for addmm_kernel_impl.h

* Add logging.h for addmm_grad_kernel_impl.h

* Add logging.h for p_send_kernel.cu

* Add logging.h for determinant_grad_kernel_impl.h

* Add logging.h for p_recv_kernel.cu

* Add logging.h for elementwise_grad_base.h

* Add logging.h for transfer_layout_kernel.cc

* Add logging.h for eigvals_kernel.cc and index_select_impl.h

* Add logging.h for all files in kernel directory

* Add logging.h for xpu_info.cc

* Add logging.h for xpu

* [enforce.h Decouple gflags.h] Move gflags.h from enforce.h to enforce.cc

* Add gflags.h for other files

* Add gflags.h for other files

* Add gflags.h for blas_impl.hip.h

* Add gflags.h for miopen_helper.h

* [PHI CAPI] support complex dtype kernel

* update

* replace matmul with matmul_v2 in fuse passes

* Remove fusion logic from matmul

* removing fusion methods

* add proper name

* adjust namespaces

* clean attrs in python tests

* delete checkpoint and restore matmul version

* remove unused code

* matmul and reshape/transpose fuses migrated

* split MatmulOneDNN headers

* fuse activation and eltwise_add

* add fuse_activation

* matmul_transpose_reshape/reshape_transpose_matmul

* matmul + elementwise_add (fused)

* activation temporary modifciation

* restore matmul(v1) version 0

* merge newest develop

* remove depedency from other PR

* revert pbtxt

* remove placeholders from matmul_v2

* add description in OPMaker

* remove matmul_v2_op.h and all depedencies

* remove dims changing in base op

* add possibility to fuse already fused_matmul

* restart broken CI

* Empty-Commit

* revert matmul_utils.h

* codestyle

* adjust imports

* add pbtxt file

* 100% matmul unit tests coverage

* trigger CI with minimal changes to develop

* adjust changes to develop

* add fused_matmul op

* inherit base ops

* add "v2"

* move OPMaker

* Gradually add fused_matmul files

* second batch of fused_matmul changes

* split infershapes of matmul_v2 and fused_matmul

* merge code from other PR

* 2023

* inherit fused_matmul from matmul_v2

* Update paddle/phi/backends/onednn/onednn_reuse.h
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* Update paddle/phi/kernels/fusion/onednn/fused_matmul_kernel.cc
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* resolve conflicts

* codestyle

* simplify isgemmlinear

* 2023

* remove import

* reuse methods

* matmul_v2_mkldnn cleanup

* simplify ExecuteMatMulV1Grad

* matmul refactored

* fc

* SetOutMemDescWithLogicalLayoutFusesSupport

* matmul_v2

* alpha support

* group repetetive funcs

* matmul utils

* execute matmul methods

* restore registered kernel names

* split header and impl files

* remove double negatives

* reduce numer of modified files

* adjust ExecuteMatmul

* add scales for ut

* dates

* limit number of modified files

* fluid imports

* remove alpha

* codestyle

---------
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>