* Integrate quantize/dequantize linear and add config for explicit quantization

* Fix the build error

* Add macro for TRT version < 8.0

* Remove qdq UT from windows

* Fix UT failure

* Check TRT version in qdq UT

* Test tensorrt_explicit_enabled API

* Disable QDQ UT if TRT version < 8.5

* Add quantization postfix into public APIs

* Apply code formatter

* Fix the UT failure for explicit quantization

* Apply code formatter on modified files

* Correct the year in copyright

* [paddle-TRT] support mark output

* [fix bug] hook function only call one in different predictor

* add api test

* onednn: rename macro to PADDLE_WITH_DNNL

* onednn: rename macro to CINN_WITH_DNNL

[Inference] add config.enable_low_precision_io api and remove rely on AnalysisConfig::Precison in trt (#52485)

* Revert "[inference][trt]add trt sparse weights switch (#53562)"

This reverts commit 4a69a536.

* remove kSPARSE_WEIGHTS

* remove kFASTER_DYNAMIC_SHAPES_0805 and add 'TrtMajorVersion' function

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test ,test=develop

fix bug

remove useless

fix bug

add pybind

remove log

fix style

fix style

change api

* Implement conv2d_fusion NHWC format using CUTLASS
* Add unit testing for CUTLASS Conv in inference
* Add experimental API for CUTLASS.

* update memory_optimize pass

* add predictor_engine

* add predictor_engine

* fix zero shape

* fix lodTensor

* fix unittest

* fix code style

* update CmakeList

* remove using lodtensor part1

* polish history code format

* paddle-inference support custom-ops
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>

* fix tolower
Co-authored-by: NZhixin Yao <zhixiny@graphcore.ai>

* remove calibration file path

* remove useless code

* support onnx format quantized model

* update code

* add test

* add test

* fix

* fix test

* fix cmake

* update code

* change scale file path to calibration file path

* update code

* update code

* fix build bug

* fix build bugs

* fix

* fix

* add config param for enable_dlnne and support calibration mode
* remove useless file
* refine code and add annotation
* refine code of Warnning tips

* update trt workspace size param

* update

* update

* update

* use int64_t

* use int64_t

* upate

* update

* inference add convert to mixed model ability.

* revert 40531

* update

* new general transformer inference support

* 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>