[Paddle-TRT] Convert 0D tensor to 1D tensor, increase the shape tensor's number count when collecting shape (#55503)

* make 0-D tensor to 1-D tensor to support Grounding-SAM and add shape check

* recover identity_op_clean_pass.cc

[Inference] add config.enable_low_precision_io api and remove rely on AnalysisConfig::Precison in trt (#52485)

* Revert "[inference][trt]add trt sparse weights switch (#53562)"

This reverts commit 4a69a536.

* remove kSPARSE_WEIGHTS

* remove kFASTER_DYNAMIC_SHAPES_0805 and add 'TrtMajorVersion' function

* remove prelu land ookuip_table plugin, adjust .h include location

* clean code and adjust some .h

* update

* add flags for phi

* fix compile bugs

* fix ci bugs

* fix inference bugs

* fix cinn' bugs

* fix cinn bugs

* perfect code according comment

* fix ci bugs

* fix ci bugs

* support 0-D output and 0-D as indice in __getitem__

* fix tests

* fix inference and UT

* add unittest for setitem

* fix xpu test

* fix xpu 0-d

* allow fall back to fp16 when int8

* refine code

* refine code

* refine code

* add fmha_flashattention oss plugin

* add fmhca

* add oss fmhca

* code reconstruct and add ut

* code style refine

* fix ut and enforce check

* refine trt version check

refine compile

fix compile

* fix cross ut

* code refine

* use runtime trt version check

* bug fix and code refine

* compile fix

* merge develop

* add GN QDQ kernel

* support GN int8 fake kernel

* add with_int8

* add GN int8 fake kernel

* add GN int8 fake kernel

* add GN int8 fake kernel

* add GN int8 fake kernel

* add GN int8 fake kernel

* add GN int8 fake kernel

* add GN int8 fake kernel

* add GN int8  UT

* add verison > 8000  in GN int8  UT

* add some check in .cu

* add stdlib.h in UT

* little change  in .cu

* remove rand_r use rand

* remove use rand

* setAxis(1)

* when int8 is on allow fall back to fp16

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Co-authored-by: Nwwbitejotunn <wang_bojun@outlook.com>

* 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 cast between int64 tensor and Paddle-TRT
* Add Unit testing.

* add_range

* add_range

* 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.

* update trt workspace size param

* update

* update

* update

* use int64_t

* use int64_t

* upate

* update

* add varlen_token_prune plugin, pass, convert

* support inpus is weight

* template GetWeightCPUData

* new general transformer inference support

* paddle inference support new quant_model

* emb fix

* fix trt6 compile

* fix half

* absolute error fix