* 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

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

* 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

* 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

This reverts commit 84bf5c31.

* cuda_graph

* cuda_graph_

* cuda_graph_

* cuda_graph_

* 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

* convert support multi block.

* update

* multihead matmul add fp16

* fix windows error

* fix rocm error

* fix rocm error

* remove cudaDeviceContext

* remove more template

* fix rocm compile

* remove alias name CUDADeviceContext

* fix compile

* fix tests

* revert changes

* infer context fix place error.

* update

* update

* fused_fc_elementwise_layernorm support fp16

* fused_fc_elementwise_layernorm support double

* multi stream support handle lazy init.

* support eigen lazy init

* update

* fix ci problem

* fc support fp16

* add a ‘,’ on paddle_pass_builder.cc

* fc support fp16 on non-cuda.

* convfusionfp16

* convfusionfp16

* convfusionfp16

* Rename BOOST_GET macros

* Fix conflicts

* shape sum

* add shape, sum trt layer

* reshape fill_constant

* commit

* commit

* add fused token prune op and plugin

* add method for post ops

* format code

* gpd

* format style

* add matmul+act test

* implement matmul+activation

* whitespaces

* code style

* python code format

* Increase UT timeout

* code format

* update style

* generalize activation fuse passes

* change order

* Unify activation GPD

* Revert changes with op_act

* remove softmax mkldnn attrs

* set common name for act attributes

* whitespace

* append postops by helper function

* ut style

* revert changes related to quantization

* Reduce redundancy

* reduce number of parameters

* trigger CI

* validate attribute

* trim unit test

* Quantize shape operator

* Add shape op to propagate scales pass

* add ort clone interface

* paddle2onnx update to 1.0.0rc

* ort input_tensor use mutable data of scope