* reduce_mean supported. test=allcase

* ut. test=allcase

* test=develop

* ut.test=allcase

* correct name. test=allcase

* correct UT. test=allcase

* correct UT.test=develop

* remove op

* UT

* add convert

* fix timeout issue

* more uts

* more ut

* correct ut

* add trt noexcept definition

* add trt noexcept on trt plugin

* add trt noexcept on trt int8 calibrator

* remove noexcept on base serialize

* add trt noexcept on split plugin

* add trt noexcept on elementwise plugin

* add trt noexcept on prelu plugin

* add trt noexcept on pool plugin

* add trt noexcept on swish plugin

* add trt noexcept on gelu plugin

* add trt noexcept on layer norm plugin

* add trt noexcept on instance norm plugin

* add trt noexcept on emb eltwise layernorm plugin

* add trt noexcept on qkv2context plugin

* add trt noexcept on skip layernorm plugin

* add trt noexcept on slice plugin

* add trt noexcept on hard swish plugin

* add trt noexcept on stack plugin

* add trt noexcept on special slice plugin

* add trt noexcept on anchor generator plugin

* add trt noexcept on yolobox plugin

* add trt noexcept on roi align plugin

* add trt noexcept on gather nd plugin

* add trt LT version helper

* upgrade PluginTensorRT to IPluginV2Ext

* trt plugin factory is not usable in IPluginV2

* upgrade add plugin api to use IPluginV2

* remove IPlugin register and adapt getSerializeSize(), serialize()

* adapt IPluginV2Layer

* downgrade to IPluginV2

* implement elementwise clone

* add gelu plugin creator and fix gelu serialization bug

* add swish plugin creator and fix swish serialization bug

* format

* fix typo

* add elementwise plugin creator and fix serialization

* add base creator class

* add gelu plugin creator

* add hard swish creator and fix serialization

* add instance norm creator and fix serialization

* add layer norm creator and fix serialization

* add pool creator and fix serialization

* add prelu creator and fix serialization

* add slice creator and fix serialization

* add swish creator and fix serialization

* add instance norm op unittest

* remove redundent api

* fix wrong graph size to enable trt

* instance norm function move to cc

* add trt elementwise ut to trigger coverage

* remove opt cahce to hit serialization coverage

* remove opt cahce to hit serialization coverage

* remove unused code

* remove unused inputs_

* add dbg info

* remove dbg info

* add instance norm serialization

* roll back

* remove comment code

* remove trt plugin registery

* fix prelu dynamic serialization

* add prelu ut and reduce the input size to reduce memory usage

* fix pool dynamic plugin serialization and add ut

* refine pool ut with subtest

* add env for avoiding oom

* reduce test input size & increase pool op ut to 45s

* add the contributor

* remove copyright (will add in contributor)

* remove copyright (will add in contributor)

* correct conditions of gather in opteller

* test=develop

* test=allcase

* modify logic

* test=allcase

* test=document_fix

* correct op

* test=allcase

* fix trt flatten converter when batch_size > 1

* change ut to same dynamic shape

* qkv

* ci_test

* add trt LT version helper

* trt8 requires void** to be void* const*

* add trt LT version helper

* remove deprecated nvinfer1::DimsCHW and replace it to nvinfer1::Dims3

* remove deprecated nvinfer1::DimsNCHW and replace it to nvinfer1::Dims4

* update deserialize engine

* update to createNetworkV2

* update to createNetworkV2

* update buildWithConfig and remove redundent config settings

* replace createNetwork to createNetworkV2

* fix int8

* addMatrixMultiply

* remove unnecessary const cast

* IBuilder->setInt8Calibrator() is deprecated

* auto enable fp16 when using int8

* remove the redundant line

[Inference Tensorrt] Add attr for trt engine and handle the input seq problem for ernie var len. (#33575)

* 1, remove layernorm dynamic fp16; 2, let reshape out in dynamic shape

* remove useless code

* add support for trt dynamic shape flatten op

* add version restriction

* add ut input dynamic shape

* Small changes related to BF16 fusion_gru and fusion_lstm

* Correct to pass arg by value

* Add conditions to rnn op

* Correct the spelling mistake

* Improving the test with checking activation

* Trigger CI

* - Second fix

- fix

* - fix

* - First fix to #33021

* add dynamic layer_norm plugin

* fix bug

* fix numpy.allclose

* fix format

* fix code style

* remove shepe in dynamic shape

* code format

* remove layer norm fp16

* fix format

* fix inference prepare data bug

* rename functions

* typo

* typo

* typo

* UT correct

* correct condition

* correct condition

* ci coverage

* morelines

* fix ci coverage

* add trt convert op: reshape

* reshape

* fix

* input: Shape,ShapeTensor

* Add some comments

* download_verify

* checksum

* add more conditions

* dynamic shape

* ut

* correct contidions

* commnent

* remove rebandadnt op type

* remove rebandant if

* revert elementwise and disable trt conv if strides > 1

* strides check

* remove useless var

* comments