* test=cpu-gpu-py3

* test=cpu-gpu-py3;notest

* notest;test=cpu-gpu-py3

* add npu operator for gaussian random.

* bugfix: add wait after memory copy.

* update gaussian random op: use TensorCopy.

* 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)

* add dropout npu op

* fix bugs

* add unittest

* fix bugs

* support 1-D input

* change ScatterAdd to EmbeddingDenseGrad in lookup_table NPU op

* EmbeddingDenseGrad only supports dim 32

* fix shape error

* softmax mask fuse upper triangle

* cover not implemented cpu code

* remove check on kwargs

* refine code, reuse commom function

* Use CBLAS for SelectedRows elementwise add operation. It's faster.

* template compilation fix

* reverted template compilation fix

* slimmed template compilation fix
Co-authored-by: NAdam Osewski <adam.osewski@intel.com>

* fix vector overflow

* refine code

* refine ut

* correct conditions of gather in opteller

* test=develop

* test=allcase

* NpuOpRunner supports host tensor as input

* fix compile issue

* added prelu bf16/fp32 fwd/bwd kernel

* added checking if md uses blocking format

* minor change

* removed unnecessary line

* add delta score, scale show

* so parser

* windows

* windows

* modify logic

* test=allcase

* test=document_fix

* add gpu implementation of shuffle batch
test=develop

* add thrust cuda patches
test=develop

* fix macro guard

* fix shuffle batch compile on windows/hip

* fix hip compilation error

* refine CMakeLists.txt

* fix windows compile error

* try to fix windows CI compilation error

* fix windows compilation again

* fix shuffle_batch op test on Windows

* fix interpolate for shape[i]=0, test=develop

* fix test_trilinear_interp_v2 random failure, test=develop