* fix beta bug in fill_constant_batch_size_like

* add fp16 support

* update

* update half

* code format

* fix unittest

* fix rocm compile error

* code format

* code format

* fix rocm compile error

* fix rocm compile error

* use cinn in the paddle inference

* fix some cmake errors

* Avoid division by zero in the arange_kernel.

* Avoid dynamic ops.

* Remove some useless codes.

* Use OpTransInfo to encapsulate some codes used in the build_cinn_pass.

* residual_no_bias

* comments

* more ut

* fix input

* Remove trt_reshape2_matmul_fuse_pass

* [Paddle Inference]support n lookup_tables fuse to embeddinglayernorm(1): add some funtion for embedding

* Support matmul_v2 in PaddleTensorRT

* [Paddle Inference]support n lookup_tables fuse to embeddinglayernorm(2)

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

* fix wrong eigen header include

* fix complie bug

* fix nan_inf_utils_detail

* fix resource_manager

* fix conv_miopen_helper

* move sum

* fix ci bugs

* fix ci bugs

* fix set_lod bugs

* fix infershape bugs

* fix ci bugs

* fix ci unittest bug

* fix ci bugs

* perfect code

* update code according comment

* add unittest

* fix ci bugs

* trim trailing whitespace

* fix `.cmake-format.py`

* revert npu ut changes, avoid npu ci error

* Delay TensorRT registry
* Add unused define
* Fix TensorRT test
* fix function to reference
* Update trt_plugin.h

* [CodeStyle] trim trailing whitespace in .md and .rst

* empty commit, test=document_fix

* update

* update

* update

* [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；