* sylwek

prototype params to int8 pass

* trying to make warmup work

* wip

* wip

* change test to cpp test

* review fixes, refactoring

* more refactoring

* add erasevars

* change test to fixture

* rename pass

and reorder erasevars and graphsaferemovenodes

* fix

* more refactoring and fixed bug

* formatting

* remove scale count

* enfroce message too short

* remove erasevars

erasevars couldbe cauuse of memory issues

some other fixes

* add count of successfull fuses to name of new nodes

* FindVar -> GetVar and use ConvResidual pattern

* use tensor->clear() instead of new variable

* Update paddle/fluid/framework/ir/mkldnn/params_quantization_mkldnn_pass_tester.cc
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* Update paddle/fluid/framework/ir/mkldnn/params_quantization_mkldnn_pass_tester.cc
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* Update paddle/fluid/inference/tests/api/analyzer_lexical_analysis_gru_tester.cc
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* add log (review fix)c

* review fix (2 functions to one)

* code review: Conv->QuantizeConv

* revert

* fix formatting

* remove unused functions

* add paddle enforce
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>

* fixed multihead matmul fuse pass

* Add unittests

* rm scale op

* fixed code style

* fixed code style

* resolve testcase falied

* add note

* consolidate conv act passes

* generalize conv_activation

* integrate conv+act tests

* code style format

* whitespaces

* remove timeout from old tests

* implement comments from review

* restore ut

* whitespace

* code style

* transpose

* fixes after review

* method for gettin act

* Change Paddle_enforce error type

* code format

* add missing opcompats

* fix some matmul that X and Y both other ops outputs, do not dequantize the Y.

* fix CI format

* fix according to review

* support matmulv2 in multihead

* Enable fc on bfloat16

* Add pass for residual connection

* Dissable Residual connection pass for now

* Ban ResidualData from DQ

* style

* WO for python tests

* Fix bfloat16 placement pass

* Make it nicer

* Fix leftovers

* Style

* new general transformer inference support

* support weight transpose

* add ut

* add template

* fix transpose error

* fix transpose_comment

* add api tests

* add skipif

* add doc

* remove attrs from base op

* fix typos

* remove brelu

* undo removing code related to matmul

* remove whitespaces

* undo changes in matmul

* remove empty line

* update lite compile cmake

* Update delete_fill_constant_op_pass.cc

* Update analysis_config.cc

* fix maybe-uninitialized warning

* fix compile

* fix xpu compile

* fix npu compile

* fix infer compile

* fix compile

* fix compile

* Add elementwise_sub quantization

* Remove unnecessary comments

* Specify names for tests

* Remove comments

* Remove comments leftovers

* support yolov5s static/int8

* fix eltwise_sub and div weight compute

* fix delete_fill_constant_pass

* Clean-up bfloat16 tester

* New blacklist mechanizm for dequantization

* Style

* Style II

* Style III

* optimize cinn find graph by graph address

* graph_key use int64_t instead of program string

* fix framework _to_readable_code python code

* rename get_readable_comile_key to get_serialize_comile_key

* [IPU] fix ipu and add python infer api, test=develop

* [IPU] add paddlepaddle-ipu package name, test=develop

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

* Add int8 scales gathering pass for convolution

* Fix typo

* Add unittest

* Add corrected unit test

* Change test name

* Remove enabling mkldnn in test

* Speed up test

* Change max examples

* Add functional test

* Change test name

* Add new test case

* Rename pass

* 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

* pdnode_compare

* panode compare

* pdnode_compare

Co-authored-by: Nyaozhixin <522190855@qq.com>

* rm transfer_cast_op_pass

* rm header

* Refactor Quantization

* Refactor Dequantization

* Classy solution

* Style I

* Style II

* Style III

* Use VLOG(4) for debug info

* Style IV