* Enable fc on bfloat16

* Add pass for residual connection

* Dissable Residual connection pass for now

* Ban ResidualData from DQ

* style

* WO for python tests

* new general transformer inference support

* support yolov5s static/int8

* fix eltwise_sub and div weight compute

* fix delete_fill_constant_pass

* [Paddle-Inference] support transformer generation: some passes

* Readd conv_affine_channel fuse pass as mkldnn pass

* Fix formatting

* Add new test to parallel_UT_rule.py

* Fix Coverage and Windows CI issues

* Revert "Fix Coverage and Windows CI issues"

This reverts commit f33459846385c9fd51c07f9f44e7ff283a652637.

* Fix CI errors

* Remove unnecessary conv_eltwise_add_affine_channel fuse pass

* Remove test from parallel_UT_rule.py

* Change tensor name to match activation

* declare fc_eltwise_add pass

* merge conv_eltwise refactor PR

* first compilable draft

* unittest feedback tools

* Fuse pass tester

* Move IsReachable() to shared file

* 100% coverage of fuse_pass_tester.cc

* register pass

* Add bias node

* Improve unit tests / remove bias node from pattern

* improve fc_eltwiseadd_unittest

* cancel eltwise_add fuse if act is already fused

* Add elementwise_input scale

* Residual MVP

* Add new FC attrs

* Add more test cases

* Add missing op attrs

* Adapt code to new Elementwise pattern

* reuse existing fcpattern

* improve code style

* remove unused arguments

* fix typo

* remove whitespace

* remove int8 related code

* Remove attributes from base ops

* style

* style check

* Remove input from base op

* Set attribute during fuse

* ut timeout

* download and test model

* DRY

* apply feedback from review

* Style check

* fix typo

* cosmetic changes

* explicitly set residual as output

* VIT-OCR accuracy check

* trigger CI

* remove whitespaces

* fix missing data file

* add mkldnn int8 pass [step3]

* Add test for compute_propagate_scales_mkldnn_pass

* update pass

* update api comment and python api
Co-authored-by: Nwozna <joanna.wozna@intel.com>

* added shuffle_channel bf16/fp32 fwd kernel

* added missing files

* CI fix

* changed from pten to phi

* tmp save

* added reviewers suggestions

* fix for test

* paddle inference support new quant_model

* Add elementwise add and activation fuse pass

* Fix copy ellision

* More flexible pattern detector

* More flexible fusion pass

* Update lists for pass

* Add support for Pow operator

* Add support for more activation types

* Style

* Rename fusion pass

* First version of tests

* Dirty version of pass

* Polished version

* Update pbtxt

* Style

* Update names

* Style

* Use PADDLE_ENFORCE_EQ

* Save error message to variable

* WO for error checks

* CR

* Static style check

* Add missing 'activation_scale' attribute

* Add relu6 and sigmoid activations

* Style

* Fix fuse list formating

* Sync filenames for fuse pass files

* Fix cmake after move

* Fix registration

* Fix pass name in tests

* Add missing activations to checker

* WIPS

* Working mul op

* Working sub

* Working Add

* Remove pten includes

* Remove some forward declarations

* Remove Includes

* Fixes

* Remove default kernels

* Add check if post_ops attributes are avaliable

* Style

* Code adjustment

* Register default kernels

* We have year 2022 not 2021...
Co-authored-by: Njakpiase <jakpia21@gmail.com>
Co-authored-by: NSylwester Fraczek <sylwester.fraczek@intel.com>

* Fast review fixes
Co-authored-by: Njakpiase <jakpia21@gmail.com>
Co-authored-by: NSylwester Fraczek <sylwester.fraczek@intel.com>

* Review Fix

* Rename one_dnn -> onednn

* Style after review

* Fast and dirty fix for quantization

* Update tests

* Style

* Fix mkldnn_quantizer config

* Add Joanna's suggestion.

* Check if operator is explicitly disables on OneDNN

* Try to use unregistered attributes

* Style

* Test new framework

* FXI

* FXII

* Update test

* Style
Co-authored-by: Njakpiase <jakpia21@gmail.com>
Co-authored-by: NSylwester Fraczek <sylwester.fraczek@intel.com>

* remove

* pass

* more pass

[Paddle-Inference] support preln_ernie: add preln_embedding_eltwise_layernorm_fuse_pass, preln_skip_layernorm_fuse_pass (#39508)

* support preln_ernie

* support preln_ernie

* rebuild matmul pass: trt and gpu_cpu

* rebuild matmul pass: trt and gpu_cpu

* rebuild matmul pass: trt and gpu_cpu

* rebuild matmul pass: trt and gpu_cpu

* Mish

* Change exp() library

* mish fuse pass

* mish attrs

* fixes

* mishop maker

* remove attrs

* mish kernal for bf16

* fc+mish fuse

* fix code format error

* Resolve merge conflicts

* Update mish operator version

* update mish variable to new naming convention

* add matmul_scale matmul_v2_scale fuse pass

* add scaletensor judge

* modify var name

* add timeout notest;test=coverag

* fix error commit

* fix use_mkldnn attr

* fix use_mkldnn attr

* add mkldnn conv3d_bias_mkldnn_fuse_pass ut

* update conv3d_bias_mkldnn_fuse_pass ut

* disable conv3d_bias_mkldnn_fuse_pass

* add ipu_inference

* resovle commments

* resolve comments

* add EnableIpu introduction

* rm line

* restore npu update

* add ernie and resnet50 test

* fix copyright time
Co-authored-by: Nyaozhixin <522190855@qq.com>

* add conv_gelu_mkldnn_fuse_pass

* add post ops

* reshape+transpose+matmul_v2

* in_name->input_name

* fix pr-ci-static-check

* added softplus + activation fuse plass

* minor change

* implemented reviewer suggestion

* minor fix

* minor fix

* added scale_out parameter

* minor fix

* fix for iScan CI

* conditionally disabled logs

* refactored pass builder

* added conv + hard_sigmoid fuse pass

* Removed IsOptional() statements

* Reverted removing optional

* fix matmul dim error

* fix wrong dim check in matmul

[Paddle-Inference]Add MatmulV2ToMatmul convert Pass, fix (matmul_v2, matmul, mul) convert pass, fix (matmul, mul) op_teller (#36652)

* new_Matmul2ToMatmulToMul

* new_Matmul2ToMatmulToMul

* fix paddle_pass_builder

* fix paddle_pass_builder

* fix paddle_pass_builder

* tem

* tem

* Add MatmulV2ToMatmul convert Pass; MatmulV2ToMul convert Pass

* Add MatmulV2ToMatmul convert Pass; MatmulV2ToMul convert Pass

* add matmul_broadcast_unitest

* fix op_teller

* added base changes for matmul_v2+trans+resh fuse pass

* added full matmul_v2+transpose+reshape pass

* removed a file added by mistake

* added reviewers suggestions

* Changed ops type in checking capatibility version

* Deteled one statement

* support bert when exists matmul_v2

* update

* add_int_pass

* add_int8_flag_pass

* add_int8_flag_pass

* fix CMakeLists.txt

* fix test_trt_fc_fuse_quant_dequant_pass.py

* fix python/paddle/fluid/tests/unittests/ir/inference/test_trt_fc_fuse_quant_dequant_pass.py

* fix test_trt_fc_fuse_quant_dequant_pass.py

* Add fusion_lstm INT8 PTQ

* Correct mkldnn_cache_capacity and enable fc_lstm_fuse_pass only for this test

* Change mkldnn_cache_capacity

* Add dlnne engine runtime

* Fix log

* Remove <const_cast> and remove unrelated modify with dlnne, +clang-format

* Fix CMakeList format error

* Add copyright message

* Fix dlnne CMakeList.txt

* Add some paddlepaddle_pass to support more networks

* Fix some format bug

* Add delete dropout_op pass

* Fix some format bug

* Fix format bug

* Add dlnne engine runtime

* Fix log

* Remove <const_cast> and remove unrelated modify with dlnne, +clang-format

* Fix CMakeList format error

* Add copyright message

* Fix dlnne CMakeList.txt

* Add some paddlepaddle_pass to support more networks

* Fix some format bug

* support multihead_matmul_fuse_pass_v3

* fix compile problems

* embedding_eltwise_ln pass support lookup_table_v2

* suppoort matmul and matmul_v2 in qkv matmul

* Unification of bfloat16 enablement process and refactor

* Remove unnecessary function

* Standardize the output name search

* update paddle_fluid.so to paddle_inference.so