* move batch_norm prim test to op_test

* fix optest bug

* add test to cmake

* add cinn test case

* fix batch_norm prim grad bf16

* fix code

* add cuda check

* fix batch_norm bfloat16

* fix cpu bfloat16 bug

* skip non-bfloat16-supported platform

* fix code

* fix cinn rtol and atol in bfloat16

* fix name

* fix config

* simplify layer_norm_op.cc

* support auto generate for op layer_norm

* update unittest for composite_layer_norm

* remove layer_norm_op.cc from scripts

* replace layer_norm_op with generated_op

* add get_expected_kernel for layer_norm

* update cmake kernel register function for layer_norm_mkldnn_op

* [AMP OP&Test] Add check_dtype for some API (part 2)

* fix ci

* fix ci

* support uint16 python op in d2s

* convert uint16 -> bfloat16 in docstring

* add fp16 and bf16 support for instance_norm

* fix /= operator which not support bf16

* fix instance_norm_grad kernel and unittests.

* fix fp32 unittests.

* fix instance_norm_kernel and unittests.

* fix instance_norm_grad_kernel and unittest threshold.

* add fp16/bf16 for instance_norm_grad_grad op.

* add bf16 dtype check.

* fix conflicts.

* fix cpu support for fp32 op and fix type in instance_norm_grad_kernel.

* fix type in instance_norm_kernel.

* fix bf16 outputs in unittests and refine codes.

* fix dx computation.

* delete unuseful params and head including.

* add fp16/bf16 for static graph.

* fix device condiction for instance_norm op.

* fix instance_norm_grad_grad and bf16 op tests.

* fix op_test to support grad of bf16 can be compared with fp32.

* remove updates.

* add self-defined grad.

[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

* support amp logic for layer_norm and softmax

* fix layer_norm amp

* fix layernorm api and dropout fp16

* fix layernorm api and dropout fp16

* fix bn, ln dtype in float16

* fix dropout fp16

* fix comment

* support fp16 on LocalResponseNorm

* add docs in avgpool3d

* [Divide by 0 Error] add normalize check

* [Divide by 0 Error] normalize check migrate to c++

* rm legacy

* clear in_legacy

* fix tracer

* rm legacy nn part2

* rm _non_static_mode

* modify

* modify unpool test

* modify unpool test

* modify loss

* keep legacy for layer_norm

* fix docstring:
1. 去除 python/paddle/fluid/dygraph/nn.py 中 BatchNorm 类说明中示例代码里 numpy 的使用，为参数 data_layout 说明中 "NCHW" 里的各字母含义做了具体说明；
2. 为 python/paddle/nn/functional/norm.py 中 batch_norm 函数中参数 data_format 说明中的 "NCDHW" 里的各字母含义做了具体说明；
3. 为 python/paddle/nn/layer/norm.py 中 BatchNorm、BatchNorm1D、BatchNorm2D 以及 BatchNorm3D 类中参数 data_format 说明中的 "NCDHW" 里的各字母含义做了具体说明；
4. 修正 python/paddle/nn/layer/loss.py 中 BCELoss 类的 Shapes 说明格式错误问题，以及 BCEWithLogitsLoss 类的 Shapes 说明格式错误问题和 Examples 出错问题；
5. 修改 python/paddle/nn/functional/loss.py 中 binary_cross_entropy 函数以及 binary_cross_entropy_with_logits 函数 Returns 说明的描述，使它们与其他函数说明相似；
6. 将 python/paddle/nn/decode.py 中 BeamSearchDecoder 类 `__init__` 方法 docstring 里的参数说明提前到类说明中去。

* 根据 Review 意见进行修改。

* 修正 在线文档 中提及的错误。

* modified:   python/paddle/nn/layer/norm.py

* modified:   python/paddle/nn/layer/norm.py

* modified:   python/paddle/nn/layer/norm.py

* modified:   python/paddle/nn/layer/norm.py

* modified:   python/paddle/nn/layer/norm.py

* modified:   python/paddle/nn/layer/norm.py

* test=docs_preview

* InstanceNorm2D中文档格式修改

* test=docs_preview

* modified:   python/paddle/nn/functional/loss.py
	modified:   python/paddle/nn/functional/norm.py
	modified:   python/paddle/nn/layer/loss.py
	modified:   python/paddle/nn/layer/norm.py

* test=docs_preview

* test=docs_preview

* isort all files

* revert conflicting files

* revert conflicting files

* revert conflicting files

* standard api

* fix xpu bugs

* Remove reduntant numpy input in Example code

* Remove reduntant numpy input in Example code, test=document_fix

* Standardise batch norm

* standardize conv3d and depwise_conv2d

* fix ci bugs

* [CodeStyle][E711] use `is`/`is not` for comparison with `None`

* `self.assertTrue($A is None)` -> `self.assertIsNone($A)`

* `self.assertTrue($A is not None)` -> `self.assertIsNotNone($A)`

* `self.assertFalse($A is None)` -> `self.assertIsNotNone($A)`

* `self.assertEqual($A, None)` -> `self.assertIsNone($A)`

* `self.assertNotEqual($A, None)` -> `self.assertIsNotNone($A)`

* update config

* re-blacken python code

* temporarily disable date and diff_py_file

* skip a format

[CodeStyle][F401] remove unused imports in python_paddle/nn_tensor_reader_tests_distributed_distribution_dataset_utils. (#46721)

* 1. Delete some expression like 'This Op'
2. remove import numpy as np

* test=document_fix

* fix eg; test=document_fix

* fix 'import numpy' cases; test=document_fix

* fix 'import numpy' cases; test=document_fix

* fix some docs; test=document_fix

* delete raise; test=document_fix

* add some introduction; test=document_fix

* add some introduction; test=document_fix

* test=document_fix

* Fix ’note‘ format; test=document_fix

* Fix Returns of cholesky; test=document_fix

* Fix Example format; test=document_fix

* Fix det; test=document_fix

* Fix eig; test=document_fix

* Fix eigh; test=document_fix

* Fix eigh; test=document_fix

* Apply suggestions from code review;test = document_fix
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* Apply suggestions from code review;test = document_fix
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* Apply suggestions from code review;test = document_fix
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* test=document_fix

* test=document_fix

* KLDiv;test=document_fix

* norm example code; test=document_fix

* revert python/paddle/fluid/**/*

* revert python/paddle/distributed/spawn.py

* revert python/paddle/fluid/*

* fix a `Note` format

* Fix inv; test=document_fix

* Fix lu; test=document_fix

* Fix lu_unpack; test=document_fix

* Fix matrix_power; test=document_fix

* Fix multi_dot; test=document_fix

* Fix solve; test=document_fix
Co-authored-by: NNyakku Shigure <sigure.qaq@gmail.com>

* fix some error

* fix

* fix some error

* fix bugs

* fix some errors

* fix

* Update transform.py

fix some docs errors

* Update normal.py

fix some doc errors

* Update uniform.py

fix some docs errors

* Update kl.py

fix some docs errors

* Update math.py

fix some docs error

* Update math.py

fix heaviside links

* Update loss.py

fix

* Update transform.py

fix bugs

* Update math.py

fix

* fix some format issue

* Update normal.py

* fix missing np

* order imports

* fix some flake8 warning

* Update python/paddle/tensor/math.py

* fix OP-->API

* fix op

* fix grid_sample format

* trim trailing whitespace

* empty commit, test=document_fix

* empty commit
Co-authored-by: NSigureMo <sigure.qaq@gmail.com>
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* polish code comments

* polish data_device_transform.cc

* [Eager] call final_state_slice under eager mode

* rm useless comments

* use eager final state instead intermidiate state

* update fill_constant yaml

* update fill_constant yaml

* modify wrapped_infermeta_gen logic to fix special case

* fix slice in manipulation

* use fill_constant_

* modify slice infermeta

* rm final_state_conv2d

* use final_state_slice

* use final_state_slice only

* polish slice, use final state

* add paddle_throw for SplitInferMeta

* rm fill_constant_ temply

* recover array_equal, not allclose

* recover original code

* move_group_norm

* move group norm backward

* fix code format

* modify code according comment

* use yapf to format all python file

* yapf exclude two unittests file for they rely on writing and reading file, and format will break them

* disable diff_py_file because too many diff files cause command following failed

* add yaml

* fix infrt compile bugs

* add layer norm infermeta

* add layer norm yaml

* polish layer norm infer meta

* add layer norm to black list

* [Eager] Support test_layers's test cases switch to eager mode

* Update batch_norm _C_ops action to fix CI

* Use None instead of new EmptyTensor

* Updated var name

* Make sure to switch eager mode, Fix Coverage_CI

* Remove _non_static_mode statement

* Remove batch_norm dispensable input statement

* Polish batch_norm code

* Fix CI issue

* Remove _non_static_mode()

* [Eager] Support test_layers's test cases switch to eager mode

* Update batch_norm _C_ops action to fix CI

* Use None instead of new EmptyTensor

* Updated var name

* Make sure to switch eager mode, Fix Coverage_CI

* Remove _non_static_mode statement

* Remove batch_norm dispensable input statement

* Polish batch_norm code

* Fix CI issue

* update

* fix bug

* 1. add the python api grad 2. add final and intermediate state vlog 3. change the python_api error logic

* add python api or close the check_eager=True

* fix the compatibility