* [Divide by 0 Error] add normalize check

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

* fix cross_entropy

* update

* add input dimension check for max_unpool2d/max_unpool3d

* add unittest

* paddle.nn.functional.softmax
* paddle.nn.functional.log_softmax
* paddle.nn.functional.gumbel_softmax
* paddle.nn.functional.prelu

remove fluid.initializer.UniformInitializer, ConstantInitializer, NormalInitializer, TruncatedNormalInitializer, XavierInitializer, BilinearInitializer, MSRAInitializer, NumpyArrayInitializer and calculate_gain.. (#49498)

* move UniformInitializer and ConstantInitializer

* more modify

* circular import resolved

* another circular import resolved?

* more circular import 2

* circular import 3

* change import paddle in metric.py

* BuildStrategy import from fluid

* modify the framework import path in common.py

* change rnn.py import, from static to original framework

* change import static in the nn folder

* default_main_program should import from common_ops_import

* add import paddle in param_attr.py

* use core not paddle module for using VarDesc

* another old uniform

* mistake that use Uniform instead of UniformInitializer

* modify UniformInitializer doc

* move fluid.NormalInitializer to nn.initializer.NormalInitializer

* remove import of Normal in fluid.layers.nn.py

* remove more import of old Normal

* remove more import of old Normal

* sample code modify and tests modify import

* is_listen_failed passing arg should be log file

* problem solved

* a mistake solved

* comments resoleved and remove paddle.fluid.initializer.TruncatedNormalInitializer

* remove paddle.fluid.initializer.XavierInitializer and paddle.fluid.initializer.MSRAInitializer

* remove paddle.fluid.initializer.BilinearInitializer NumpyArrayInitializer and set_global_initializer

* change fluid to static

* change static to fluid to avoid circular import in distributed_strategy.py

* fix example code and test_initializer

* ValueType

* sample code fix

* change set_global_initializer back to fluid

* put paddle.static.BuildStrategy.ReduceStrategy into the fuction to avoid circular import

* remove calculate_gain, delete BilinearInitializer and revert set_global_initializer

* change the time of using UniformInitializer, ConstantInitializer, NormalInitializer, TruncatedNormalInitializer, XavierInitializer, MSRAInitializer, NumpyArrayInitializer as few as possible

* fix argument incampatible

* fix more arg incompatible

* fix test_prelu_op_xpu.py Constant

* fix inaccurate doc

* more doc fix: default value

* support 0d tensor for interpolate

* support 0d tensor for interpolate

* add xpu unittest for interp

* update unittest for interpolate

* fix coverage

* fix code style

* fix for coverage

* fix coverage

* add dimension check for interpolate

* modify dimension check for interpolate

* add unittest to size check for interpolate

* fix incorrect shape check for interpolate

* split size check and add unittests

* [Eager] polish some apis logic

* polish api logic

* [PHI] rrelu add yaml

* polish

* polish

* fix nll_loss

* fix nll_loss

* update

* update

* update

* fix

* [Zero-Dim] support input 0D Tensor for maximum,minimum,allclose,sigmoid_focal_loss

* [Zero-Dim] add backward test for sigmoid_focal_loss with 0-D input Tensor

* [Eager] polish several ops

* rm useless code

* check weight shape of conv1d_transpose

* add unittest case

* 1219

* temporarily change the num_diff_files limit, test=document_fix

* Revert "temporarily change the num_diff_files limit, test=document_fix"

This reverts commit 8e70f00ef468d2dad0e38b3da06295ed62990d20.

* for codestyle

* remove duplicate license

* `static mode` -> `static graph mode`

* Update hybrid_parallel_inference.py

* Update layer_function_generator.py

* Update manipulation.py

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

* 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

* rm in_legacy_dygraph nn part1

* rm non_static_mode

* modify rrelu

* fix docstrings:
1. 修复了 python/paddle/nn/layer/conv.py 中出现的 Tex 语法问题；
2. 为 python/paddle/nn/functional/conv.py 修复 Tex 语法问题，修改 note 及参数说明格式，尝试添加论文链接；
3. 修改 python/paddle/nn/layer/loss.py、python/paddle/nn/functional/loss.py 中参数说明的格式；
4. 修改 python/paddle/nn/layer/common.py、python/paddle/nn/functional/common.py 中参数说明的格式，添加 optional 说明。

* fix docstring format, add paper's hyperlink.

* fix formula Tex.

* fix format error; test=docs_preview

* fix reference hyperlink; test=docs_preview

* fix docstring; test=docs_preview

* fix Tex format.

* fix api reference;  test=docs_preview

* test=document_fix

* Update conv.py

* formula; test=document_fix

* test=document_fix

* formula; test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* add warp transducer code

* remove unittests eager guard tests part2

* rm bicubic eager guard tests

* review

* fix

* fix dtype bug in bce_loss_with_logits

* 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。

* fix english docs typo errors

* fix english docs typo errors

* 1

* Update vision.py

; test=docs_preview

* Update vision.py

* Update loss.py

修改缩进; test=docs_preview

* Update loss.py

* test=document_fix

* test=document_fix

* for codestyle; test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>
Co-authored-by: Ligoml <limengliu@tiaozhan.com>

* 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

* add inner function _elementwise_op_with_axis

* fix transformer_model

* polish API code

* remove elementwise_div/mul api

* delete API in __all__

* delete elementwise_mul completely

* polish elementwise_mul call

* polish internal api

* resolve conflict, fix rnn.py

* use non-inplace call

* delete elementwise_mul api test

* delete elementwise_mul api test

* clean elementwise_add/sub

* restore _elementwise_op_in_dygraph in nn.py

* fix doc

* test=document_fix
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* remove pool2d

[Fluid Clean]move inplace_apis_indygraph_only from paddle.flud.dygraph.inplace_utils to paddle.utils (#48744)

* move inplace_apis_indygraph_only from paddle.flud.dygraph.inplace_utils to paddle.utils

* modify conflict

* modify conflict

* modify conflict

* modify conflict

* modify conflict

* modify conflict

* modify conflict

* modify static-check ci error

* fix conflict

* modify failed tests

* fix conflict

* fix conflict

* fix pool2d examples

* modify conflict

* fix failed tests

* fix conflict

* fix failed tests

* modfiy problem of deleting pool2d