[xdoctest][task 79] reformat example code with google style in  `python/paddle/nn/functional/loss.py` (#56901)

* [Doctest] fix No.79, test=docs_preview

* Apply suggestions from code review

* fix gpu

* fix

* fix

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

* add code

* add code

* refine code

* add code

* fix bug

* fix bug

* fix bug

* add code

* add ut

* polish code

* fix bug

* refine code

* fix bug

* refine code

* fix bug

* refine code

* fix bug

* refine code

* fix bug

* refine code

* add code

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* refine code

[xdoctest][task 292] reformat example code with google style in `python/paddle/nn/functional/norm.py` (#56825)

[API Enhancement] No.6 support single `int` input in UpsamplingNearest2D and UpsamplingBilinear2D (#56470)

* enhance single int input in UpsamplingNearest2D and UpsamplingBilinear2D

* add unittest

* add unittest

* Update loss.py --refactored fluid_softmax_with_cross_entropy

* Update loss.py

* Fixed a mismatch between Chinese and English documents for the CrossEntropyLoss #50424

* Update python/paddle/nn/layer/loss.py
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* Update python/paddle/nn/layer/loss.py
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* update fix

* update fix

* Uniform Context Format

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

* Update backend.py

* transform_parameters

* Update transform_parameters.py

* Update transform_parameters.py

* Update transform_parameters.py

* Update transform_parameters.py

* Update python/paddle/nn/utils/transform_parameters.py

* Apply suggestions from code review

* Apply suggestions from code review

* Modify kernels to support quantized_matmul

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Co-authored-by: Nsuperxf <1208713646@qq.com>

[xdoctest][task 113] Reformat example code with google style in python/paddle/nn/layer/container.py (#56229)

* [xdoctest][task 113] test=docs_preview

* test=document_fix

* test=document_fix

[xdoctest][task 114] Reformat example code with google style in python/paddle/nn/functional/vision.py (#56230)

* [xdoctest][task 114] test=docs_preview

* test=document_fix

* test=document_fix

* adjust indent

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

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Co-authored-by: Ntianhaodongbd <tianhaodong@baidu.com>

* weight_norm_hook

* Update weight_norm_hook.py

* Update weight_norm_hook.py

* Update python/paddle/nn/utils/weight_norm_hook.py

* Update python/paddle/nn/utils/weight_norm_hook.py

* Update python/paddle/nn/utils/weight_norm_hook.py
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

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

* move fluid apis

* fix type error

* remove static exponential_decay

* fix some import error

* remove nn.py

* fix some error

* fix type error

* input.py

* Update python/paddle/nn/functional/input.py

* Update input.py

* add mask

* add backword

* add enforce info

* update scale

* integrate code

* update enforce

* add enforce eq

* add error type

* update enforce

* add test_flash_attention

* Polish codes and fix compiling errors.

* Set num_splits to 0 for flash-attn with tensor mask.

* Fix the compiling error for non flash-attn case.

---------
Co-authored-by: NLiu Yiqun <liuyiqun01@baidu.com>

* add paddle-symbolic-trace to paddle

* add symoblic trace

* delete swp

* support Layer in symbolic trace

* fix test-symbolic-trace, make symbolic trace return a StaticFunction

* template the error message

* fix some unittest

* Modify the execution mode of test

* Modify the module name

* add dy2static unittest decorator

* change some unittest files by @ast_only_test

* fix unittest.

* test-symbolic-trace

* update test_write_python_container.py

* update

* fix test_param_parse.py

* add submodule and ln -sf in cmakefile

* update

* update

* fix some ast only errors

* update

* Polish ut

* fix unittests

* update

* update

* fix unittests

* update

* test warning ast only

* update

* Ast only some uts

* Fix unitests

* test_error ast only

* update

* update

* Support build_strategy for sot

* update

* import sot as a third party module

* update

* update

* Polish code

* update

* update

* update

* update

* update

* remove old fluid api and use paddle.nn.relu instead

* fix

* comment the print of ast code

* add try-finally block

* fix dy2static stop-gradient bugs

* fix code

* remove unused submodule and minor codestyle fix

* fix

* fix cast error

* fix interpolate meets int64 in static model

* add evalframe support for py311

* fix

* fix err

* switch ENABLE_FALL_BACK=False

* fix

* Fix CI for some unittest

* add ENABLE_SOT

* remove setup.py dependences

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Co-authored-by: NNotHaozi <zhangmenghao@baidu.com>
Co-authored-by: Nfeifei-111 <2364819892@qq.com>
Co-authored-by: N0x45f <wangzhen45@baidu.com>
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>

* test=docs_preview

* test=docs_preview

* test=docs_preview

* test=docs_preview

* test=docs_preview

* test=docs_preview

* norm, test=docs_preview

* test=docs_preview

* test=docs_preview

* test=docs_preview

* [Doctest]fix No.80-85, test=docs_preview

* test=docs_preview

* test=docs_preview

* test=docs_preview

* test=docs_preview

* test=docs_preview

* test=docs_preview

* fix

* Apply suggestions from code review

* Apply suggestions from code review

* Apply suggestions from code review

* test=docs_preview

* test=docs_preview

* test=docs_preview

* test=docs_preview

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

[Inference] Replace groupNorm when data types are bf16 and fp16, and data format is NHWC implementation. (#55399)

* finish

* cpergroup odd

* fix bf16

* single channel

* code style

* jingdu duiqi

* add head_file

* add bf16 head file

* bf16 2

* bf16

* bf16 head

* bf16 compile

* py test

* bf16 compile

* bf16 compile

* unset py test

* nhwc

* test

* mean var

* bf16 success

* su

* ctest success

* use is_same_as

* is_same

* use is_same

* rtol

* gpu_stream

* del sigmod

* fix bfloat16 type

* use cuda_bf16_hpp

* use_cuda_arch

* bfloat162float2

* del inplace_tol

* del max_releative_tol

* temp store

* jingdu duiqi

* temp store

* plugin

* jingdu duiqi

* duiqi

* include cuda.h

* del half

* half single

* ci

* add const

* ci

* cudamemset

* del printf

* fp16 test

* add half compute

* del br16 ci

* del ci

* ci approve

* del fluid include

* [Doctest]fix No.21, test=docs_preview

* Revert "[Doctest]fix No.21, test=docs_preview"

This reverts commit 76bcdb280e254d682be6fc6f85588f1940bb1ade.

* [Doctest]fix No.21, test=docs_preview

* fix bugs,test=docs_preview

* [Doctest]fix No.22-24,26,27, test=docs_preview

* update fix

* with pre-commit, test=docs_preview

* fix seed, test=docs_preview

* fix error, test=docs_preview

* fix seed, test=docs_preview

* fix seed, test=docs_preview

* simple reaplce

* for debug

* fix bugs

* fix some bugs

* del fill_constant_batch_size_like

support stride

【inplace api】batch add inplace api paddle.log_, paddle.i0_, paddle.nn.functional.leaky_relu_... (#55576)

* batch add inplace api

* add inplace test

* add activation inplace

* fix test

* remove atan2 ge, gt, le, lt, nq

* remove atan2 ge, gt, le, lt, nq

* fix windows ci error

* rerun ci

* fix typro

* fix bugs

---------
Co-authored-by: Nzhangrui34 <v_zhangrui34@baidu.com>

* 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

* [Kunlun] Mofify some legacy code on distributed training

There were limitations on XPUs before, such as concat/split is not
supported, and c_broadcast only support fp32. These limitations are
lifted recently.

Multi-device profiling on XPU will also be supported by this PR.
Without this PR, a hanging broadcast will be issued by devices that
enables profiling, eventually lead to kernel timeout error.

* fix typo

* [Add]Add Xdoctester

* [Fix]fix beta docstring

* [Doctest]change dirichlet docstring

* [Doctest]change gumbel docstring

* [Doctest]change bernoulli docstring

* [Doctest]change categorical docstring

* [Doctest]change ops.py docstring

* [Doctest]change conv docstring

* [Doctest]change distance docstring, test=docs_preview

* [Change]add ref

* [Change]patch xdoctest debug

* rename weight_only/llm.int8

* add clip_grad_value_ api

* add test for ClipGradByValue

* typo fix

* refine and modify clip_grad_norm_

* no_grad

* clip_

* remove g=p.grad

* bug: AssertionError: When Variable is used as the condition of if/while , Variable can only contain one element.