[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

* remove unused code

[inference Zero-Dim][trt] Add Zero-Dim tensor support for clip, cast, flatten_contiguous_range (#53769)

* [inference Zero-Dim][trt]clip,cast,flatten_contiguous_range trt op converter support zero dim

* softmax support

* support stack

* support_act
* delete_silu

* prelu op trt converter support zero dim

* support_expand_mish

* fix trt Unary operation do not support 0d when TRT < 8.6

* update unary ut

* add rsqrt to unary_list

* move rsqrt to act_list

* add embedding generic plugin， not enabled

* add lookup_table op trt converter

* update

* Add trt pow converter.

* update to use AddConstantLayer

* add dims=0 ut

* trt support 0 dim

* trt support 0 dim

* update activation ut

* 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

* add ```converter_type``` for op converter

* 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

* Paddle-Trt: Replace fc mul matmul matmul_v2 with matrix_multiply

* fix bilinear_interp_v2 && some other bugs in trt 7011

* add version check in test_trt_convert_bilinear_interp_v2.py

---------
Co-authored-by: NZhang Jun <ewalker@live.cn>

* Support two inputs of multihead attention named qk_multihead

* fix out of bound

* fix bug

* fix bug

* fix

* change skip-layernorm to adapt a new method

* fix review problem and add vlog

* fix review problem

* forbid int32 tensor as arg_max's input

* this is a test pr, test=develop

* solve the four [-Wterminate] warning, test=develop

* solve the four [-Wterminate] warning, test=develop

* new fix [-Wterminate], test=delelop

* new fix [-Wterminate], test=delelop

* new fix [-Wterminate], test=delelop

* new , test = develop

* new , test = develop

* new , test = develop

* new , test = develop

* new , test = develop

* new , test = develop

Add basic functionalities to support Scalar & Scalars in operator attribute.

1. extend allowed types in operator's attribute type, add `paddle::experimental::Scalar`, add corresponding protobuf Message types;
2. Scalar enhancement, add formatting, equality;
3. add code to handle Scalar & Scalars in opmaker, conversion from  paddle operator to phi kernel, opdesc construction and manipulation,  tensorrt converter, tracer, operator construction, etc;
4. bind `paddle::experimental::Scalar` to python, as `libpaddle.Scalar`;
5. add functionality to canonicalize attribute map according to OpProto(if the op the attribute map used for has an OpProto);
6. add code to manipulate Scalar proto message via protobuffer python API;

Add unittests.

1. add test cases for formatting, equality for Scalars, and WrapAsScalars;
2. add test cases for 'casting' between different morphs of attributes;
3. add test cases for extracting scalar & scalars from attribute;
4. add test cases for CanonicalizeScalarAttrs(and fix a bug in type index offset);
5. fix gmock's library filename on windows platform.
6. clean code: use canonicalize_attrs instead of inlining the function;
7. add test cases for libpaddle.Scalar in python code.
8. add test cases for `make_scalar_proto`, which manipulate proto message `Scalar` via protobuffer python API.