* draft with debug print
* remove debug print
* bug fix for ci

cherry-pick : #46322, #46245
Sparse API 支持静态图

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

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

* fix reshape2 opteller;
add elementwise min/max register for tensorrt

* fix gather op convert to only support int32 index as input.
* add ut

This reverts commit a2b2af90.

* fix cast bug

* Move ITensor construction for Weight (persistable variable) from OpConvert to TensorRTEngine.

* Support matmul_v2 in Paddle-TensorRT converter.

* fix wrong eigen header include

* fix complie bug

* fix nan_inf_utils_detail

* fix resource_manager

* fix conv_miopen_helper

Co-authored-by: NRichardWooSJTU <37864677+RichardWooSJTU@users.noreply.github.com>

* Support dynamic shape in multiclass_nms3 Plugin for Paddle-TensorRT.

* cherry pick delay tensorrt log
* Update trt_plugin.h

* [OpAttr]Refine Teller logic if encounter OpDesc with Variable type Attribute

* fix iterator

* fix typo

* fix lambda expr

* fix ptr

* enable memory optimize when fp16.

* optimiza params sync between cpu and gpu.

* 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 silu converter

* remove int8 fallback

* 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

* vit_384_opt

* just support trt8

* padding + unpadding

* fix:unit test

* refactor:padding

* fix: change the position of round_up

* refactor: delete workspace

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