* trans_layernorm

* QuantTranpose pattern is being found by pass

* quant + transpose fuse

* code style changes

* UT written, reorder fixed

* Dequantize + transpose2 fuse  added

* pass name changed

* UT added & shift corrected

* got rid of redundancy

* review changes

* AsIntermediate corrected

* compat added

* update

* update

* format code

* update

* Update test_trt_convert_nearest_interp_v2.py

* remove_engine_info

* remove_engine_info

* remove_engine_info

* change trtlayerinformation line to json

---------
Co-authored-by: Ngaoziyuan <gaoziyuan@baidu.com>

* disable conv2d_fusion_layout_transfer_pass temporarily

* disable conv2d_fusion_layout_transfer_pass temporarily

* add_hasattri_check

* add_hasattri_check

* preln_residual 2 fused_bias_residual

* skip layernorm fix and ut

* code refine

* code style refine

* fix ut

* fix output

* add trt layer fall back info

* refine op teller and ut

* DropoutMaskOut output fix

* jit layer support multi thread

* fix bug

* clone prediector not do graph optimizer

* format

* fix comment and format

* fix override and fromat

* fix

* fix

* gn_silu

* add ut

* set TIMEOUT

* correct comments

* comments

* disable windows ut

* rename parameter

* disable integer

* disable integer

* add cast layer

* decouple phi custom_op

* decouple phi custom_op, remove codes

* delete custom symbol of inference

* support PaddlePaddle Backend on Triton

* fix test cases

* fix Codestyle

* add test case

* add test case

* fix cast issue

* add ut

* change feed_op to phi kernel

* fix ci bugs

* fix build bugs

* fix ci bugs

* fix compile bugs

* fix ci bugs

* perfect code

* perfect comment code

* fix install bugs

* modify code according comment

* remove visitor in feed_op

* modify according comment

* perfect code according comment

* add infershape

* fix py3 bugs

* fix getexpected kernel type

* fix getexpected kernel type

* fix ci bugs

* add registry for custom device

* fix py3 bugs

* fix floating point error

* fix py3 test bugs

* add outvar name for nvtx mark

* nly network created with kEXPLICIT_BATCH can setsetMaxBatchSize

* add trt_support_nhwc_pass

* add gpu_cpu_map_matmul_to_mul_pass to kGpuLowerPrecisionPasses

* disable fc_elementwise_layernorm_fuse_pass in mixed precision

* add fmha_flashattention oss plugin

* update trt engine to set in/out data type

* update

* Update engine.cc

* Update engine.cc

* update

* set engine output type before freeze the network

* update

* update trt autoscan ut

* update

* update ut

* fix equal bug, update ut

* fix cast and equal ut

* update cast ut using TRT < 8.4

* set datatype from scope

* check output var is nullptr

* Update op_converter.h

* update tensorrt_engine_op_test ut

* update

* compile fix

* fix compile

* compile fix

* add more preln

* fix paddle_infer_contrib include

* compile fix

* fix compile

* compile fix

* gn bug fix

* bug fix

* gn bug fix

* skip_groupnorm

* init

* preln

* add ut

* more assert

* set timeout

* fix windows ci issue