* fix bilinear_interp_v2 && some other bugs in trt 7011

* add version check in test_trt_convert_bilinear_interp_v2.py

* move DataType from paddle::experimental to phi

* convert namespace

* convert namespace

* convert namespace

* clarify namespace

* convert more datatype

* Revert "convert more datatype"

This reverts commit 083b462959e6a22d4d8767707b628b95b396642e.

* convert more in auto_code_generator

* fix conflicts for XPU

* fix namespace conflicts

* fix errors

* Revert "fix errors"

This reverts commit f9d9958b54ee32141112274c8a5c3c381ab0f876.

* fix errors

* fix formatting

* remove_engine_info

* remove_engine_info

* remove_engine_info

* change trtlayerinformation line to json

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

* add outvar name for nvtx mark

* nly network created with kEXPLICIT_BATCH can setsetMaxBatchSize

* 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

* add_range

* add_range

* remove using lodtensor part1

* polish history code format

* optimize Paddle-TRT performance

* remove needless using tensor

* remove needless using tensor

* resolve conflict

* replace tensor using

* fix format error

* revert needless changing

* fix rocm and npu compile error

* fix cinn compile error

* fix format error

* fix mkldnn format error

* fix mkldnn format error

* fix cinn compile error

* fix cinn compile error

* fix cinn compile error

* resolve conflict

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

* remove int8 fallback

* add varlen_token_prune plugin, pass, convert

* template GetWeightCPUData

* add fc, multihead_mul, shape tensor infer, slice

* paddle inference support new quant_model

* Merged LoDTensor with Tensor,test=allcases

* Patched python level LoDTensor

* Patched python level LoDTensor

* Merge Tensor into DenseTensor

* Fixed namespace issues,test=allcases

* Fixed merge issues

* Fixed inference issues

* Fixed NPU test issues

* Fixed merge issues

* dynamic shape clone supported

* Inspect the information inside a TRT engine.

* Follow up the google code style.

* Fix code error.

* refine structure for cuda and rocm

* update

* update

* update

* update

* disable int8

* size_t to int

* update

* fix ut error

* update ut

* add pool2d convert test

* modify error

* modify error

* modify error

* modify error

* modify error

* modify error

* sparsity support

* trt buildEngineWithConfig is deprecated

* add trt version control