* Verify SequentialRun Model of StandaloneExecutor

* fix

* fix

* fix

* remove redundant code

* fix CI

* fix CI

* recover multi-step dependency

* update

* fix compile bug

* fix bug

* fix bug

* revert crop_op

* fix xpu compile

* fix cinn compile

* fix bug

* fix bug

* fix bug

* fix bug

* update

* update

* 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>

* add kernel functions

* update kernel functions

* update func parameters' name

* create codes for gpu device

* 调整文件位置

* fix include error

* remove dependent files to phi/

* restore fused_attention_op.cu

* fix dependence errors

* fix dependence errors

* fix include error

* fix all depandence errors[build success]

* remove useless include

* recover useless include

* use phi::ToNCCLDataType

* fix namespace

* update new register code

* fix error in fused_gemm_epilogue_utils

* fix error in FusedAttentionKernel parm

* finish fused_attention registe code[build success]

* add paddle::optional

* add sig file

* fix build error

* fix a include error

* update CMkaeList

* fix parameter sequence

* add include file

* update #if before include

* fix grammly error

* update codes for DropoutParam

* remove const cast

* trans some fluid api to phi api

* add #if

* update test code

* update test codes

* recover test codes

* trans fused_attention to fluid

* move #endif to end

* move #endif

* delete useless files

* use fused attention utils and recover random seed

* remove fluid include in phi

* feat: add relu composite rule

* feat: add relu composite rule, maximum op

* feat: add relu composite rule, maximum op

* feat: add relu composite rule, polish comments

* feat: add relu composite rule, polish comments

* feat: add relu composite rule, add python api of relu

* feat: add relu composite rule, commit hook

* fix: maximum type error & ban cinn test

* fix: maximum input sequence bugs

* resolve conflicts

* fix: code style bugs

* add: relu fp16 test

* feat: add rsqrt composite rule

* feat: add rsqrt composite rule

* resolve conflicts of composite rule

* fix: delete check eager

* feat: add roll grad composite rule

* fix minus shift

* fix test roll op

* rem is_compiled_with_npu

* rem nup related code

* make lint happy

* rem test

* remove some tests

* Update grad_scaler.py

* fix an error

* support auto generate static for randint

* move seed from extra to attrs

* add gloo gather

* add gloo_tools

* fix CI bug

* use gloo gather

* remove redundant code

* fix process_group_gloo.py

* rename send_recv

* fix conflict

* fix conflict

* fix codestyle

* fix CI bug

* add PADDLE_ENFORCE_NE

* fix out of bound

* fix bug

* fix bug

* fix

* delete [-Wno-error=terminate], test=develop

* remove GPUps[-Wterminate],test=develop

* autogen embedding

* deal

* fix bug in CompatMetaTensor::share_lod

* update

* fix bug

* update

* fix bug

* Improve new executor static build

* Skip GC for static build

* Skip infershape for static build

* Handle read_op

* Add fused_attention to OpsWithFluidKernelNeedMoveToPhi

* Fix argsort typos

* Add sequence_pool to OpsWithFluidKernelNeedMoveToPhi

* Fix skip share lod errors

* Fix errors for adam

* Fix errors for eigvals, memcpy and fake_quantize

* Add static_build.cc

* Add black list

* Fix CI errors

* Fix CI errors

* Fix CI errors

* Fix TensorArray

* Fix TensorArray

* Add update_loss_scaling to OpsNeedSetOutputDtypeWhenRegisterPhiKernel

* Fix copy

* Fix errors

* Fix momentum

* Skip mkldnn

* Fix CI errors

* Fix c_sync_calc_stream_op

* Fix CINN

* Fix while op

* All CI pass, disable FLAGS to merge code, enable it after more tests in future

* Add UTs

* Fix typos

* Fix typos

* Add mkldnn UT

* Remove mkldnn test

* Fix typos

* Fix dist test

* Fix typos

* Fix CI errors

* Fix CI errors

* Add UTs

* Fix typos

* Fix typos

* Add sparse tests

* ToComplexType -> ToComplex

* Add test_matmul_op_static_build to disable_win_inference_test

* change skip-layernorm to adapt a new method

* fix review problem and add vlog

* fix review problem

* bce_loss

* fix error

* fix

* fix

* fix

* reslove confilict

* fix bug of redefine use_equal_all

* fix bug of redefine use_equal_all

* update

* fix bug

* fix bug

* revert diag_op

* revert expand_op and expand_as_op

* fix bug

* fix bug

* rename_bilinear_tensor_product

* fix

* [CustomOP Optional Inplace] Custom operator supports inplace optional vector Tensor input

* uncomment unittest codes

* simplify bn vjp code

* simplify composite rule

* polish name

* forbid int32 tensor as arg_max's input

* support auto generate static for gaussian (gaussian_random)

* move gaussian_random_batch_size_like Kernels from gaussian_random_op.* to gaussian_random_batch_size_like_op.*