* 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；

* fix bug fix

* add shape size check

* polish code

* multi -1 shape fix

* code style improve

* bug fix

* code style fix

* fix bug fix

* Add int8 support for matmul+elementwiae_add fuse

* Corrections after review and ernie test fix

* merge conv_concat_relu to conv_act

* fix typo

* extend unit test

* reuse existing gpd

* codestyle

* enforce mkldnn conv

* fix layernormTrt meanVar alloc bug

* add group_norm dyanmic plugin

* predictor add GetInputType interface

* predictor change GetInputType to GetInputTypes

* predictor add tester

* predictor add tester

* predictor change GetInputType to GetInputTypes

* predictor change GetInputType to GetInputTypes

* predictor add tester

* fix infer tans scop

* fix infer trans scope

* fic infer trans scope

* fic infer trans scope
Co-authored-by: Ndingjiawei <327396238@qq.com>

* convert multihead to oss

* fix:bug

* fix:delete const cast

* fix:don't support bias_qk

* add vit pass

* fix:convert bug and add preln_residual_bias

* support length=-1

* add UT for convert

* add no_bias_qk support for gpu_multihead_op

* delete infer_shape depends on bias_qk

* oss just can be used in T4 and A*

* fix:change api for ROCM CI

* Reduce pool2d test configuration

* Reduce depthwise_conv2d test configuration

* Reduce trt_convert_conv2d_fusion test configuration

* Reduce trt_convert_conv2d test configuration

* Reduce trt_convert_conv2d_transpose test configuration

* Reduce trt_convert_hard_swish test configuration

* Enhance trt auto scan test error message and mechanism

* Increase FP16 trt ut tolerance

* convert_fp16 support multi block

* update

* update

This reverts commit 84bf5c31.

* trt engine input data type should be consistent with trt input bindings type

* fix some bugs

* fix some bugs

* fix some bugs

* disable_skip_layernorm_fp16

* cuda_graph

* cuda_graph_

* cuda_graph_

* cuda_graph_

* clean tensor.h

* fix gather_nd

* remove v2_transpose_reshape

* matmul_transpose_reshape

* reshape_transpose_matmul

* restore ut

* adjust old ut

* restore parallel UT ruels

* feedback from review

* update trt workspace size param

* update

* update

* update

* use int64_t

* use int64_t

* upate

* update

* Add unit tests

* matmul_v2 + activation

* matmuls + elementwise_add

* matmul_v2 postops

* transform matmul to v2

* opcompat

* fix fusing matmul with multipe outs

* add shape constraints

* remove unused vars

* change pass order

* - Unit tests to be debugged

- fix

- refactor

- diagnostic

- more diagnostic

- fix

- Fix number two

- fix

- fix

- fix

- alpha added

- more fixes

- compilation fix

- removed diagnostic code

- cosmetic fixes

* lint

* add alpha constraint

* merge matmul refactor

* trigger CI

* - fix

* - another fix

* code style

* add support for matmul+elementwise_add+activation

* code style

* fix bfloat16 bugs

* change append_binary to append_sum
Co-authored-by: NJacek Czaja <jacek.czaja@intel.com>

* add rnn