* general optimization no_varlen embedding layernorm

* delete Bias and ResidualData in OpMaker of conv2d

* delete extra input of conv3d

* refactor pass of conv_bias_fusion

* fix mkldnn dependency

* fix mkldnn compile

* fix test_conv_bias_mkldnn_fuse_pass

* police some code

* remove useless log

* fix analyzer_vit_ocr_tester

* fix conv_activation_mkldnn_fuse_pass

* fix test_analyzer_ocr

* add fused_conv_sig

* fix performence regression

* fix performance regression

* remove fluid code

* init

* typo

* fix merge conflicts

* pass

* pass

* draft version

* share mem opt

* remove sharemem

* add pattern for the case with circle_shift=0

* add UT

* pass opt

* test_fix

* code-commit

* code-style

* code style

* code-style

* ut-fix

* op teller refine

* resolve conflict

* adjust position op_teller list and pass order for swin

* ut code style update

* adjust paddle pass order

* refine pass order

* refine pass order

* refine pass order

* Fix fuse_gemm_epilogue

* update tests

* Update CMakeLists.txt

* Update CMakeLists.txt

* Update CMakeLists.txt

* fix random seed

* use assert_allclose

* Update test_dist_fuse_gemm_epilogue_pass.py

* Update cpp_pass.py

* Update test_dist_fuse_gemm_epilogue_pass.py

* fix codestyle

* update seed and atol

* general optimization for no_varlen multihead

* remove conv_act_set from graph_pattern_detector.cc

* fuse-mt passes compatible with structured pruning

* add fuse act add grad pass

* polish code

* refine code

* add test

* refine code

* delete unnecessary shape and slice op
Co-authored-by: NYour Name <you@example.com>

* optimize token prune

Removed ResidualData and Bias from ExtraAttrProperties because it's not an attribute.
Removed bug with checking for ResidualData attribute in matmul_elementwise_add_fuse_pass
Removed residualData from list of matmul outputs in cpu_bfloat16_pass.cc because it's input
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* add fc-residual quantization

* revert removal of check for use_mkldnn

* fix bug

* add disable_logs

* review fix

call twice AreScalesPresntForNodes instead of if-else

* rewrite residual input to output

* revert fc mkldnn taking residual data

* format fix

* fix LoDTensor->DenseTensor

* LoDTensor->DenseTensor

* output->input

* revert changes to unsupported script

revert changes to unsupported script

* remove fc residualdata from output blocklist in cpu_bfloat16_pass.cc

* Migrate conv_transpose to phi

* Move handler to kernel

* kernel m

* Fix formatting

* handler

* remove fluid

* revert tcp_store

* tcp_store

* remove unused

* Fix declaration

* add dnn input

* Fix typo
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>

* Enable bf16 in oneDNN bilinear_interp kernel

* Fix bilinear_interp_v2 not enabled in models

* Remove unnecessary checks

* optimization for ln

* fix

* added output to gpd

* added formatting

* fix

* cleanup unused code

* unify is_int8 is_bfloat16

* Simplify matmul_v2 FWD kernel

* remove RunKernel methods

* remove import namespace

* remove headers

* clean fluid/phi cross imports

* remove fluid axpy_handler

* delete fluid methods

* activations

* OneDNNMemDesc

* MKLDNNFormatForSize

* MatchShapeToLayout

* MKLDNNMemoryFormat

* MKLDNNFormat

* ReorderMKLDNNHandler

* to_void_cast

* review suggestions

* interpolate

* remove fluid depedency

* feat(ipu): add model_runtime backend support in IPU.

* fix(ipu_executor): fix error message format.

* fix(ipu_executor): fix format.

* fix(ipu_executor): fix format again.

* fix(ipu_executor): fix format again.

* fix(ipu_executor): fix format again.

* generate static graph code for some ops by yaml

* remove deleted files

* update cmake

* update cmake

* udpate cmake

* add roformer pass&&plugin（novarlen）

* skip_merge_layernorm

* add UT

* modify comments

* add fuse_multi_transformer_layer_pass

* softplus+activation

* fc + elementwise_add test refactored

* rename MKLDNN to OneDNN

* fc+activation tests refactored

* remove softplus ut

* whitespace

* whitespace

* codestyle

* codestyle

* add more cases to fc+act

* remove softplus+hard_sigmoid pass

* remove softplus + hard_sigmoid UT

* add approximate for gelu

* swish beta range

* new codestyle

* reduce number of tests

* allow fold fill_constant && allow nms3 into trt in int8 model
* use unordered_map
* fix CI failing

* Split kernel registered, tests for uint/int added

* Split quantized

* Split output scales calculated only once

* NearestInterp test fix reversed

* DequantizeOutputs corrected

* suqeeze2 transpose2 fuse onednn

* format

* fix output shape

* fix conflict

* format

* format

* remove useless

* remove log

* simply pass

* fix comment

* fix

* fix msg

* fix error msg

* format

* init changes

* bnorm

* method signature

* change order

* bnorm

* removed unused args

* tmp save

* minor chnage

* CI fix

* added FC optimizations

* latest update

* CI fix

* fixed bug with fusing fc

* add constant_folding_pass pass for mkldnn int8

* update UpdateScaleOpInOutScales

* 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>