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

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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>

* autofix
Co-authored-by: NLiyulingyue <83450930+Liyulingyue@users.noreply.github.com>

* revert changes in python/paddle/distributed/fleet/utils/hybrid_parallel_util.py

* empty commit, trigger ci

* fix test_slice

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

* delete old dygraph op test

[CodeStyle][C408][C409][C410] Fix unnecessary <dict/list/tuple> call and unnecessary <list/tuple> passed to <list/tupule>() (#51928)

* autofix

* add select config

* autofix C410

* add C410 select

[Zero-Dim] Support 0D for numel/rank/size/optimizer/create_parameter/create_global_var, fix some usage to adapt 0D (#51566)

* refine _found_inf