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

* 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

* add roformer pass&&plugin（novarlen）

* add fuse_multi_transformer_layer_pass

* Analysis API interface for disabling fc passes

* Unit tests corrected

* Python API added

* test runs only when PADDLE_WITH_MKLDNN

* Fc op changed to relu in matmul_op_test

* Disable fc passes in tests where acc drops

* code formating

* Unit test for analysisConf added

* Unit test gpu added

* fc passes disabled when iterations=0 in gru test

* style

* passes disabled when fp32 in gru test

* fc passes disabled in lstm test

* Import from inference, not fluid in doc

* 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

* 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

* prelnlayernorm_shift

* add ut

* remove paddle_enforce

* remove useless

* add UT

* remove UT

* add UT

* set timeout

* fc/matmuls + scale fuse pass

* remove double-extension

* add unit tests

* comments from review

* codestyle

* add pass to int8 list

* new codestyle

* attr name typo

* add fused_multi_transformer_encoder/decoder pass, run GPT-3 success

* first version, accuracy corrected

* disable debug print

* use blockReduceSum in phi

* add UT

* add opCompat

* code style

* code refine

* bug fix

* code refine

* test fix

* bugfix

* codesytle fix

* code style

* code-style

* code-style

* code-style

This reverts commit 166ff39a.

* first version of ln_s_p with s>0

* refine and UT

* pass opt draft

* pass opt

* code refine

* code-style

* bug fix

* fix ci test

* code style

* [Paddle Inference]support n lookup_tables fuse to embeddinglayernorm(3)

* Remove trt_reshape2_matmul_fuse_pass

* first commit

* conver done

* correct format

* layernorm_shift_partition

* correct convert

* redefine plugin

* runable

* bug fix

* modify ShiftPartitionPattern

* correct

* add UT

* modify ut

* compile

* modify enforce

* modify UT

add constant folding pass， for some model，it will get less latency；

* Add int8 support for matmul+elementwiae_add fuse

* Corrections after review and ernie test fix

* merge conv_concat_relu to conv_act

* fix typo

* extend unit test

* reuse existing gpd

* codestyle

* enforce mkldnn conv

* convert multihead to oss

* fix:bug

* fix:delete const cast

* fix:don't support bias_qk

* add vit pass

* fix:convert bug and add preln_residual_bias

* support length=-1

* add UT for convert

* add no_bias_qk support for gpu_multihead_op

* delete infer_shape depends on bias_qk

* oss just can be used in T4 and A*

* fix:change api for ROCM CI

This reverts commit 84bf5c31.

* cuda_graph

* cuda_graph_

* cuda_graph_

* cuda_graph_

* remove v2_transpose_reshape

* matmul_transpose_reshape

* reshape_transpose_matmul

* restore ut

* adjust old ut

* restore parallel UT ruels

* feedback from review

* Add unit tests

* matmul_v2 + activation

* matmuls + elementwise_add

* matmul_v2 postops

* transform matmul to v2

* opcompat

* fix fusing matmul with multipe outs

* add shape constraints

* remove unused vars

* change pass order

* - Unit tests to be debugged

- fix

- refactor

- diagnostic

- more diagnostic

- fix

- Fix number two

- fix

- fix

- fix

- alpha added

- more fixes

- compilation fix

- removed diagnostic code

- cosmetic fixes

* lint

* add alpha constraint

* merge matmul refactor

* trigger CI

* - fix

* - another fix

* code style

* add support for matmul+elementwise_add+activation

* code style

* fix bfloat16 bugs

* change append_binary to append_sum
Co-authored-by: NJacek Czaja <jacek.czaja@intel.com>

* multihead matmul add fp16

* fix windows error

* fix rocm error

* fix rocm error

* fused_fc_elementwise_layernorm support fp16

* fused_fc_elementwise_layernorm support double