* fix wrong handler name

* mkldnn_engine -> onednn_engine

* remove fluid/errors.h imports

* remove fluid/enforce.h imports

* remove note and unnecessary import

* remove fluid/pretty_log.h imports

* remove fluid/place.h imports

* remove fluid/data_layout_transform.h imports

* remove fluid/device_context.h imports

* remove mkldnn_helper code

* remove fluid/mkldnn_reuse.h imports

* pretty_log import

* Update communicator.cc

* Update communicator.cc

* remove LoDTensor

* remove LoDTensor and Tensor

* Split kernel registered, tests for uint/int added

* Split quantized

* Split output scales calculated only once

* NearestInterp test fix reversed

* DequantizeOutputs corrected

* remove using lodtensor part1

* polish history code format

* Quantize shape operator

* Add shape op to propagate scales pass

* 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>

* 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

* rename pten dir to phi

* rename namespace to phi

* rename infrt pten dir to phi

* resolve conflict

* rename pten to phi in cmake

* revert all infrt change

* change needed files

* fix infrt failed

* fix inference failed

* Unify paddle/pten::framework::ddim into pten::ddim

* fix paddle namespace

* compile sucessfully

* fix npu src file

* fix conflict

* fix conflict

* fix tensorrt compiler error

* fix conflict

* fix conflict

* fix tesst file conflict

* fix conflict

* fix mlu file conflict

* fix mlu file conflict

* fix cinn header file conflict

* fix conflict

* fix conflict

* fix conflict

* fix conflict

* fix and add more tests

* remove unwanted changes

* check only concat and elementwise

* move check to a function

* add todo comment

* Revert "fix ptq fc attr name fuse_activation->activation_type"

This reverts commit ffd023353a5e9b0fd15e81b9e9f9fe1794035017.

* prevent squashing pair u8 dequantize -> s8 quantize

* add relu op to check for uint8

* fix ptq fc attr name fuse_activation->activation_type

* fix

* add unit test

* remove unused variable

* test fix unsuccessful

* fix test and logic

* multiline comment

* remove cout

* Revert "fix ptq fc attr name fuse_activation->activation_type"

This reverts commit ffd023353a5e9b0fd15e81b9e9f9fe1794035017.

* fix ptq fc attr name fuse_activation->activation_type

* Quantize nearest_interp and nearest_interp_v2

* Check if avx_core supported

* Add depthwise_conv2d to supported quantization list

* quantize slice op

* correct test

* fix code formatting

* Add fusion_lstm INT8 PTQ

* Correct mkldnn_cache_capacity and enable fc_lstm_fuse_pass only for this test

* Change mkldnn_cache_capacity

* Add calculation for gru op

* Correct the types

* Remove mkldnn only

* Correct mkldnn ifdef

* Remove mkldnn ifdef

* Separate mkldnn quantizer test

* Correct Windows test

* Check different cmake fix

* Revert cmake change

* Cmake change 2

* Cmake change 3

* - Added clearing oneDNN per executor

* - Executor is nt always having FLAGS_use_mkldnn set to true

* Change use_quantizer attribute name and data type

* Fix problem with setting attribute

* Add changes due to review

* Small change in function

* Restore use_quantizer attr for compatibility

* add new macro BOOST_GET_SAFELY & unittests, test=develop

* add different macro type, test=develop

* fix get macro type in executor, test=develop

* four macro part change backup

* using one macro for all case, test=develop

* revert attribute change, test=develop

* change to three func to solve gcc4.8 bug, test=develop

* polish some details, test=develop

* Implement Int8 FC

* Integrate FC into INT8v2

test=develop

* int8 FC: transpose weights before computing scales

test=develop

* Add support for activation_type string in FC

test=develop

* Disable MKL-DNN's FC in VGG16 and 19

test=develop

* Disable FC quantization when mkldnn FC is disabled

test=develop

* Solve PADDLE_ENFORCES in FC int8

* Fix Paddle enforces and remove const cast

test=develop

* Fix style changes

test=develop

* Fix quantizer_tester test and add fc quantization

test=develop

* Fix FC test fail on CUDA

* Remove unnecessary log from quantize placement pass

test=develop

* Add Thread ID to FC hash key

test=develop

* Add comments to MKL-DNN FC Kernel

test=develop

* Refactor quantizer

test=develop

* Fix linter issues

test=develop

* Fix crash in slim googlenet

test=develop

* Fix PADDLE_ENFORCE messages

test=develop

* Add generalized Conv+Activation MKLDNN fuse pass creation Part2
test=develop

* Undefined behaviour of GetAttrIfExists<> FIX
test=develop

* fix mask rcnn bug:
1. affine channel fuse (diff)
2. condition block op (memory leak)
3. merge lod tensor op (diff)
4. memroy optim (diff)
test=develop

* fix ci aboud PADDLE_ENFOCE
fix merge lod infer op ut
test=develop

test=develop

* Int8: Fix Pooling output scale

test=develop

* Update scales quantization for certain operators

These include: concat, transpose, pool and reshape. test=develop

* Move concat minimum scale finding to quantizer

test=develop

test=develop

* add INT8 conv+relu6 fuse and enbale mobilentv2 INT8 test
test=develop

* change fasle and 0.0 to fuse_brelu and brelu_threshold
test=develop

change the "fuse_relu||fuse_brelu" to "unsigned_output"
test=develop

* Use relu instead of brelu as INT8 post-op because INT8 brelu is not enabled in mkldnn v0.18
test=develop

* continuous-integration fix
test=develop

* add Concat quantization
add unit test for quantizing concat
fix for wrong value when the input is not in map of calculated scales
add use_quantizer to concat_op.cc
add scale_algo rules for concat

test=develop

* missing fix for multiple inputs quantize-squash

* wojtuss review fix: adding comment

test=develop

* add set_not_owned function for graph

* add scope set. test=develop

* add scope_ptr enforce not null before setting.test=develop

* C-API quantization core

test=develop
Co-authored-by: NSylwester Fraczek <sylwester.fraczek@intel.com>

* Decouple Quantizer from AnalysisPredictor

test=develop

* fixes after review

test=develop

* renamed mkldnn quantize stuff

test=develop

* remove ifdef from header file

test=develop