* [XPU] add squeeze_excitation_block_xpu op&pass to optimize ppocr_v3_det model test=kunlun

* fix

* fix Codestype

* remove xpu name

* Add elementwise_add support into NHWC IR

* auto mixed precision inference support white list

* update

* update

* update

* move down identity_op_clean_pass

* fix code style

* Integrate quantize/dequantize linear and add config for explicit quantization

* Fix the build error

* Add macro for TRT version < 8.0

* Remove qdq UT from windows

* Fix UT failure

* Check TRT version in qdq UT

* Test tensorrt_explicit_enabled API

* Disable QDQ UT if TRT version < 8.5

* Add quantization postfix into public APIs

* Apply code formatter

* Fix the UT failure for explicit quantization

* Apply code formatter on modified files

* Correct the year in copyright

* modify tensorrt ci timeout

* activation ci bug fix

* Update CMakeLists.txt

* Update CMakeLists.txt

* comment out  int8 mode test_trt_dynamic_shape_groupnorm

* fix test_sync_batch_norm_op Segmentation fault

* fix timeout

* Update CMakeLists.txt

* fix trt bilinear_interp_v2_op

* add trt 8.0 condition

* add trt 8.0 condition

test bilinear

add trt 8.0 condition

* code style

repacle fluid.io.load_inference_model, fluid.io.save_inference_model in fluid with 2.0 version  (#55345)

* repacle fluid.io.load_inference_model

* replace fluid.io.save_inference_model

* fix some bug

* fix some bugs of load & save model

* fix some bug

* fix test_inference_model_io bug

* fix word2vec_inference_model bug

* fix some bug

* fix valueError bug

* fix some bug

* fix a warning error

* for debug

* for debug

* fix io error

* fix test_wordvec_book error

* remove debug print

* fix load_var bug

* for debug cinn test

* revert cinn & fix inference_pass_test in windows

* fix some bugs

* revert cinn & fix inference_pass_test in windows

* for debug vars

* for debug

* fix quant_dequant_test

* fix some path errors

* remove fluid save/load

* fix incubate-fleet save

* move some from fluid.io to static.io

* set input type to fp16

remove the AdamOptimizer、SGDOptimizer、MomentumOptimizer、ModelAverage、LookaheadOptimizer、FtrlOptimizer、DecayedAdagradOptimizer、DpsgdOptimizer in fluid and relocate the ExponentialMovingAverage、PipelineOptimizer、GradientMergeOptimizer and change optimizer base for LarsMomentumOptimizer and RecomputeOptimizer (#55970)

* change the optimizer base for SGDOptimizer

* change the optimizer base for SGDOptimizer

* replace the SGDOptimizer with SGD

* fix bug of sgd

* change the optimizer base for MomentumOptimizer

* fix the remaining tests

* remove the Momentum in fluid/optimizer.py

* fix bug

* fix bug

* fix bug

* fix bug

* Update test_resnet_cinn.py

* Update test_resnet_prim_cinn.py

* fix bug

* fix bug

* fix bug

* remove the ModelAverage in fluid

* remove the LookaheadOptimizer in fluid

* fix bug

* remove AdamOptimizer in fluid

* Update test_image_classification_fp16.py

* fix bug

* relocate the ExponentialMovingAverage in fluid

* restore the static api

* remove the FtrlOptimizer in fluid

* remove the DecayedAdagradOptimizer in fluid

* remove the DpsgdOptimizer in fluid

* fix bug

* fix codestyle

* fix bug

* fix bug

* relocate the PipelineOptimizer

* relocate the GradientMergeOptimizer

* fix bug

* fix bug

* fix bug

* fix doc

* Update __init__.py

* Update test_fleet_qat_meta_optimizer.py

* change optimizer base for LarsMomentumOptimizer

* fix bug

* fix conflict

* fix code-style

* fix sample codes

* fix bug

* fix bug

* fix cinn bug

* fix bug

* fix bug

* Update qat_optimizer.py

* Update __init__.py

* fix bug

* change optimizer base for RecomputeOptimizer

* fix bug

* fix bug

* Update test_imperative_optimizer_v2.py

* fix cudnn 8.7+ bug on cudnnConvolutionBiasActivationForward

* save_optimized_model_pass support tensorrt

* update

* update

* fix compile

* update

* fix ut timeout

[CodeStyle] replace `assert np.allclose` with `np.testing.assert_allclose` and `assert np.array_equal` with `np.testing.assert_array_equal` (#55385)

* [Paddle-TRT] add flip op

* Paddle-TRT support float64  in/out type, support fill_any_like_op in int64

* onednn: remove fc+eltwiseadd fusion pass
* onednn: remove post-sum fusion in fc kernel
* onednn: tests: make unfused add run into f32

* Fix TRT multihead matmul UT failure

* delete relu6_raw

* fix codestyle

* Update test_mkldnn_matmul_activation_fuse_pass.py

* fix

* Update backward.yaml

* Update ops.yaml

* Update backward.yaml

* unary bitwise_not adapter tensorRT8.6 in Paddle-TensorRT
* Update test_trt_inspector.py
* test_trt_convert_conv2d_transpose
* Update test_trt_convert_conv2d_transpose.py

* support_conv2d

* remove comment

* check code style

* add former Test

* check code style

* add unittest

* fix log

* change unittest

---------
Co-authored-by: zhoutianzi666 <17801055074@163.com>

* [Paddle-TRT] add assign op

* rewrite identity_op_clean_pass

* fix

* adjust identity_op_clean_pass order in gpu passes

* fix ut