* rename fluid to base

* fix setup and rename paddle.fluid

* fix protobuf generated paddle.fluid

* fix some errors

* fix cmake depends

* fix some error

* try to fix cache error

* fix codestyle && some doc error

* remove build change

* fix some error

---------
Co-authored-by: NXiangGao <jeff41404@gmail.com>

[xdoctest][task 109]  Reformat example code with google style in python/paddle/optimizer/lr.py (#56225)

* [xdoctest][task 109] test=docs_preview

* fix whitespace test=docs_preview

* Apply suggestions from code review

* fix indent and legacy fluid apis

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

* [Custom Device]add lr_ratio support of adamw for mlu

* fix

* fix

* fix: updated code examples.

* fix: updated blank lines.

* fix: updated code style

* fix: removed extra changes

* fix: refine detail

[xdoctest][task 108] Reformat example code with google style in python/paddle/optimizer/lbfgs.py (#56224)

* [xdoctest][task 108] test=docs_preview

* Apply suggestions from code review

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

* make params_grads order same bewteen dynamic and static mode

* revert inplace clip

* use sorted attribute to control

* tiny fix

* fix find loss_grad_op

* add reference of lbfgs

* add reference of lbfgs

[xdoctest][task 107]reformat example code with google style in python/paddle/optimizer/lamb.py test=docs_preivew (#56223)

[xdoctest][task 106] Reformat example code with google style in python/paddle/optimizer/adamw.py (#56222)

* [xdoctest][task 106]reformat example code with google style in python/paddle/optimizer/adamw.py

* fix word typo test=docs_preview

* fix word typo test=docs_preview

* fix whitespace test=docs_preview

[xdoctest][task 110] Reformat example code with google style in python/paddle/optimizer/momentum.py (#56226)

* [xdoctest][task 110] test=docs_preview

* fix whitespace test=docs_preview

[xdoctest][task 111] Reformat example code with google style in python/paddle/optimizer/rmsprop.py (#56227)

* [xdoctest][task 111] test=docs_preview

* fix whitespace test=docs_preview

[xdoctest][task 112] Reformat example code with google style in python/paddle/optimizer/sgd.py (#56228)

* remove the optimizer base and learning rate base

* fix bug

* fix bug

[xdoctest][task 105]reformat example code with google style in python/paddle/optimizer/adamax.py (#56167)

* [xdoctest][task 105]reformat example code with google style in python/paddle/optimizer/adamax.py

* fix word typo test=docs_preview

* fix comment test=docs_preview

* 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

Signed-off-by: Njjyaoao <jjyaoao@126.com>

Signed-off-by: Njjyaoao <jjyaoao@126.com>

* support sharding parallel

* fix name

* fix

* update

* test amp for sharding

---------

Co-authored-by: pangengzheng <pangengzheng.baidu.com>

* demo1

* add test cases

* modify the usage of StepDecay

* refine

* replace PiecewiseDecay(LearningRateDecay) with PiecewiseDecay(LRScheduler)

* fix bug

* fix bug

* replace the StepDecay,MultiStepDecay,LambdaDecay with 2.0 version

* fix lamb always_adapt

* fix optest

* fix all optests

* bump ruff to 0.0.271 and update config

* exclude third_party

* bump ruff to 0.0.272

* refine config

* support master_grad for adam and momentum

Co-authored-by: zhangting_2017@163.com <zhangting2020>

* [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

* remove _in_eager_mode_

* remove _in_eager_mode_

* relocate regularizer.py

* fix bug

* fix bug

* fix bug

* relocate the import

* replace _regularization_coeff with coeff

* remove the L1DecayRegularizer and L2DecayRegularizer

* updata Adamw.py

out.backward()  -> loss.backward()

* Update adamw.py

* modify numel in lbfgs and add a new test case. test=develop

* change param 'lr' to 'learning_rate' in lbfgs and its test

* add opt LBFGS and change test

Co-authored-by: Nxiongkun <xiongkun03@baidu.com>