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

* Add GPU kernel for multiclass_nms3 op

* Make multiclass_nms3 gpu kernel output consistent with cpu kernel

* Fix API incompatibility

* Fix unittests on builds without CUDA

* Fix ROCM build

* Remove fluid headers; Use default atol for unittest

* Change function and variable naming

* Add comments; Reduce redundant code

* Use paddle test framework

Print python trace back when debugmode = CHECK_NAN_INF_AND_ABORT  and backward has nan/inf  (#52808)

* add types and attributes

* remove some const_cast

* refine code

* add minimum grad composite rules

* add public python api

* fix format

* fix format

* update testcase

* fix testcase

* fix format

* fix cmakelist.txt

* fix format

* fix param problem

* fix op and composite rule

* fix bf16 cpu support problem

* fix bf16 cpu issue

* fix axis error log

* add axis for maximum

* revert commit

* remove .orig

* fix generic problem

* revert max op

* fix axis error

* fix maximum axis

* fix test_check_output

* fix cinn

* fix minimum maximum axis check

* Reorganize the forward codes of flash-attention.

* Fix forward.

* Remove some noused codes.

* Simplify codes and fix backward.

* Change all LOG(INFO) to VLOG and fix the backward.

* add scale for AF2 flash_attn, much thanks to xreki and shaojie for debug these codes

* decrease the effect of debug print on performance

* Unify the initialize of flashattn arguments.

* Rewirte the reshape of temp_mask and temp_bias.

* API support use_flash_attn.

* Fix compiling error on CI.

* Try to crop the flash-attention lib.

* Correct the condition of whether can use flash-attn.

* Remove the softmax_out argument.

* Remove is_causal.

* Polish codes.

* Fix qkv_transpose_out's shape and scaling of Q * K.

* Update commit of flash-attention.

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Co-authored-by: NLiu Yiqun <liuyiqun01@baidu.com>

* review

* modify opcompat bug

* modify pybind

* decrease_peak_memory

* 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

* Fused elementwises kernels and ops

* change fuse pass name

* adjust .pbtxt files

* adjust quantization attributes

* add missing arguments and fix others, review fixed

* simplify fused kernel registration

* fix elementwise unit tests

* reuse one fused elementwise op

* adjust proto

* Add supported datatypes

* Change 'Scale' to 'scale' in tests, change some tests to onednn

* Revert breaking changes

* Fix unit tests

* Delete obsolete test cases

* Delete commented out code

* Fix codestyle

* delete temporary condition

* fix conflicts and delete duplicate fusing

* Fix code after merge

* Move tests to new directory

* fix tests volatility

* Rename test_elementwise_add_onednn_op.py to test_elementwise_add_mkldnn_op.py

* Update CMakeLists.txt add mkldnn op test

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Co-authored-by: NSilv3S <slawomir.siwek@intel.com>

* move sequence_mask op InferShape func

* add dtype infer

* [Dy2static-Fallback] add set_eval_frame function in pybind.
1. add set_eval_frame function in pybind.

* add unittest for eval frame hooker.

* [support py38]

* fix-GeneratorExit error in eval frame hooker

* support python == 3.9

* support 3.10

* fix some comments

* simplify layer_norm_op.cc

* support auto generate for op layer_norm

* update unittest for composite_layer_norm

* remove layer_norm_op.cc from scripts

* replace layer_norm_op with generated_op

* add get_expected_kernel for layer_norm

* update cmake kernel register function for layer_norm_mkldnn_op

* suport device_guard for npu

* fix comment

* fix typo

* add program parameter dialect_interface

* fix op create bug

* add ir parameter convert pd variable methods

* refine code

* fix bug

* refine by ut

* refine ut

* delete unused code

* refine code

* refine code by comment

* reset WITH_NEW_IR

* refine op attribute map

* refine program and op create

* refine program and op create

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* test,test=develop

* polish

* polish

* add rules

* modify no kernel yaml parse

* success op generate

* success test_silu_double

* modify bug

* modify static error

* modify silu_grad input

* modify kernel signature

* modify kernel signature

* code style

* code style

* review

* delete opinfo modify

* modify gradOpMaker

* modify gradOpMaker

* modify genarated-j2

* add approve rules

* modify aytograd_functional_static_test