[xdoctest][task 248-249,266-267,269] reformat example code with google style in `incubate/distributed/fleet/*`,`incubate/nn/layer/*` (#56772)

* [Doctest]fix No.248-249,266-267,269, test=docs_preview

* fix style

* fix

* add env:DISTRIBUTED

[xdoctest][task 268] reformat example code with google style in `/incubate/nn/layer/fused_transformer.py` (#56965)

* [Doctest]fix No.268, test=docs_preview

* Apply suggestions from code review

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

* test=docs_preview

* test=docs_preview

* test=docs_preview

* test=docs_preview

* test=docs_preview

* test=docs_preview

* fix

* test=docs_preview

* test=docs_preview

* fix

* move stmts under imports

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

* Fix styles of code

* update the GPU option

* add the GPU setup

* remove the note

* update the code

* add rotate_half in fused_rope

* add position_ids in fused_rope

* modified examples about fused_rope

* add set_device in examples

* add_bias_and_simplify_mmha

* refine static op return val

* support_mmha
* add_python_api
* add_api_doc
* fix_doc_error
* fix_infermeta
* add_infermeta
* add_bf16_cuda_check
* add_bf16_check
* fix_ci_windows
* fix_ci_windows_kernel_register
* fix_test_mmha
* add_cumoffsets
* remove_bias
* delete_mmha_reshape_input_output
* rename_delete_hfile
* remove_fluid

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Co-authored-by: Nyangjianfengo1 <yangjianfeng01@baidu.com>

* add rmsnorm residual bias add and quant

* refine python interface

* add rmsnorm unittest

* Add layernorm

* fix layernorm unittest

* refine unittest

* fix example code

* fix review comment

* add variable_length_memory_efficient_attention
* update variable_length_memory_efficient_attention unittest
* update variable_length_mem_eff_attn's docs and unittest
* update variable_length_mem_eff_attn's docs
* Update test_variable_length_memory_efficient_attention.py
* Update variable_length_memory_efficient_attention.cu
* fix codestyle
* fix variable_length_fmha's docs and unittest
* fix variable_length_fmha's docs

* 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 rmsnorm kernel
* add static graph test
* fix round type
* use alignas to avoid msvc compile error
* remove redundant headerfile to avoid rocm compile error
* fix rocm compile not found cub
* Add document

* style

* more

* update ctest

* Update legacy_backward.yaml

* Update legacy_ops.yaml

* Update legacy_ops.yaml

* update

* update

* update for move

* bump ruff to 0.0.271 and update config

* exclude third_party

* bump ruff to 0.0.272

* refine config

* [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

* 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>

* Add fused_gate_attention API.

* Implement FusedDropout API.

* Fix doc and add unittest.

* Skip for non-gpu device.

* Add unittest.

* add random control for fused dropout add

* add __init__

* 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>

* fix generate_kernels.py in CUDA 12.0

* fix attrs bug

* first version, notest

* return final rst, notest

* use infinity() instead of max

* ut structure

* start up of ut

* generate lse

* update

* add depense

* reconstruct cmake

* move file

* add memory efficient attention and fix blasimpl

* update

* update cmake

* add namespace

* update cmake

* use .cu

* update for pad3d

* bug fix

* bug fix

* update

* bug fix

* update enforce

* add test case

* merge the lse pad

* fix kernel_fn of backward

* fix PADDLE_ENFORCE_EQ and phi_api

* fix PADDLE_ENFORCE

* fix PADDLE_ENFORCE

* rerun coverage

* fix memory efficient attention test

* rerun ci

* add cuda version condition

* add cuda version condition

* delete WIP test

* replace PADDLE_ENFORCE

* edit the namespace of datatype in multiple.cc

* rerun

* rerun

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Co-authored-by: Nliuyuang <liuyuang@baidu.com>

[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

* fluid clean: remove fluid.ir to framework.ir and some funcs form fluid.layer.io to incubate.

* delete fluid.ir

* add attn_bias.py

* add Python interface

* add license

* add test_attn_bias.py

* fix CPU test error

* fix ci error

* Fix some typos.
Signed-off-by: Yulv-git <yulvchi@qq.com>

* pre-commit
Signed-off-by: Yulv-git <yulvchi@qq.com>

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Signed-off-by: Yulv-git <yulvchi@qq.com>

* make FusedMultiTransformer supports variable-lengths.

* modify ffn2 when cuda_version >= 11.6 because of #49392.

* code style

* delete remove_padding

* add shape check for fused_multi_head_attention

* use raise for coverage test

* add unittest

* remove unnecessary pass

* add unittest