[xdoctest][task 143] Reformat example code with google style in quantization/quantization_pass.py (#56240)

* [xdoctest][task 143] test=docs_preview

* test=document_fix

* fix indent

* fix indent in python/paddle/static/quantization/quantization_pass.py

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Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* Fix and add unittest

* don't introduce assign when already in global block.

* fix more

* fix bugs

* fix bugs

* fix ci

* fix bfgs

* make function local

* fix inset get_parameter op bug

* fix bug: insert  only for parameters

* fix bug: wrong idx in vector

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Co-authored-by: Nzhangbo9674 <zhangbo54@baidu.com>

[xdoctest][task 142] Reformat example code with google style in quantization/quant_int8_mkldnn_pass.py (#56239)

* [xdoctest][task 142] test=docs_preview

* Update python/paddle/static/quantization/quant_int8_mkldnn_pass.py

* Update python/paddle/static/quantization/quant_int8_mkldnn_pass.py

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Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* [AMP] add fp16 op detection for custom device

* resolve conflicts

* remove the optimizer base and learning rate base

* fix bug

* fix bug

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

* move fluid apis

* fix type error

* remove static exponential_decay

* fix some import error

* remove nn.py

* fix some error

* fix type error

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

* add attrs and dtype interface

* fix compile bugs

* fix some bugs

* fix windows bugs

* WIP: start writing combined indexing get

* list/tuple/Variable

* getitem 80%

* add setitem

* add some unittest for setitem

* lazy import

* fix some setitem error

* fix advance indexing with decreasing axes; fix strided_slice input name

* combine int-tensor getitem is ok (without boolean support & broadcast); add getitem unittest for static

* add broadcast & parse bool tensor for __getitem

* [change getitem] _getitem_impl_ to _getitem_static, not deleting the former one

* refine new getitem; fix ut in variable/var_base

* add __getitem__ ut in dygraph

* re-dispatch getitem for Py/CPP; fix strided_slice decrease axes error in dygraph

* fix ut; support tensor in slice

* [change setitem] _setitem_impl_ to _setitem_static, not deleting the former one

* remove some UT (for some, temporarily)

* add IndexError to solve timeout problem in static-mode

* 1.temply forbideen all-False bool-indexput; 2.setitem_static will return new variable

* xpu uses old stratege

* rename dy2st setitem ut to avoid same-name problem

* dy2st for new combined index

* ut case for combine-index with dy2st

* open ut with all-false-bool setitem

* remove useless doc and _getitem_impl_

* change static res

* fix static xpu

* support construct network using ir in Python

* fix py3 bugs

* change source return type to OpResult

* remove old dataloader & generator from quantilization

* fix ut test_post_training_quantization_mnist

* remove api staticrnn

* move select_input/output to static/controw flow

* delete some func, only remain Switch

* clean fluid.layers.controw_flow

* remove fluid.layers.controlflow

* fix conditional_block ut

* add paddle.static.setitem

* add some help doc

* support setitem

* support machanism

* add more unittest

* remove usless code

* raise error in static setitem

* fix d2s UT

* remove static only for both-used code

* fix bool set_value in static, fix set_value_op UT

* fix unittests

* [May case some error]: remove inplace-version check

* add two test case for dy2st

* fix function in vision

* fix dy2st setitem support, refine UT case

* fix slice in static_mode

* add ParametersMap

* remove pop

* modify place

* [fix]: variable is also a tensor

* rewrite some ut & remove slicetransformer in dy2st

* solve error in static-mode

* fix ut

* return a result for set_array_write

* fix test_set_value_op_xpu

* code is different in dynamic / static mode

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Co-authored-by: NAurelius84 <zhangliujie@baidu.com>
Co-authored-by: NNotHaozi <zhangmenghao@baidu.com>

* Support AMP program for onnx QAT API

* Integrate QAT into distributed optimizer

* Reduce the size of test data and increase time limit

* Use logger and reduce time limit of unittests

* Rename and move unittest into fleet test

* Test qat_init API

* fix A100 CUDA12 ut

* fix ci uts

* fix test_sync_batch_norm_op

* fix sync bn op ut again by separating 2 files

* fix codestyle ci

* combine other PRs

* fix codestyle

* fix codestyle ci

* bump ruff to 0.0.271 and update config

* exclude third_party

* bump ruff to 0.0.272

* refine config

* static graph autogen code for check_finite_and_unscale_ op

* bug fixed

* Copy QAT files from PaddleSlim

* Integrate QAT API into Paddle

* Replace eval function

* Reduce test_quant_aware run time

* Apply new formatter on modified files

* Remove code check for Paddle version check

* Copy quant_post_quant_aware UT from PaddleSlim

* Integrate test_quant_post_quant_aware UT into PaddlePaddle

* Apply new formatter on modified files

* Remove redundant code and add unittests

* Add new unittests

* Update the time limit of new unittests

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* [dygraph]unify _non_static_mode() in_dygraph_mode() and in_dynamic_mode()

* fixed cyclic reference that caused patial import

* fixed bad change

* fix bad import

* fix bad import

* fix bad import

* fix ut failed caused by change in_dynamic_mode

* fix ut failed caused by change in_dynamic_mode

* fixed usage of in_dynamic_mode() or in_dygraph_mode()

* revert python3 to python in .pre-commit-config.yaml

* fix merge conflicts

* add master gradients on static graph

* add unit test for bf16 master grad static graph

* use float16 as v100 test dtype

* only skip GPU which do not support bf16

* use linear layer to test master grad

* 1.push master grad creation before all optimizer ops; 2.remove useless unittest; 3.use a function to create master grad states

* fix embedding model weight type mismatch error

* Update fp16_utils.py

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Co-authored-by: NZhang Ting <zhangting_2017@163.com>

* move DataLoader to paddle.io. test=develop