* add yaml for some op

* fix inplace_abn

* fix test_leaky_relu_grad_grad_functor

* fix yaml

* fix typo

* [Zero-Dim] Support output 0D for argmin/argmax/median/kthvalue/mode/equal_all/allclose

* fix CI

* add test_std

* add test_var

* fix std/var assertequal

* fix std/var assertequal

* fix std/var assertequal

* -madd api name to reduce_api

* fix

* fix var

* fix

* fix

* fix stat

* fix unitest

* fix stat/var

* fix stat/var, unittest

* fix stat/std, unittest

* add unittest of var,std, fix stat/var,std

* fix stat/var, unittest

* fix

* fix unittest

* fix

* fix

* fix

* fix unittest

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

* [Zero-Dim] support input 0D for paddle.moveaxis/quantile

* fix CI

* add where, atan2, median 0d ut

* add where, atan2, median 0d ut

* update

* update

* update

* 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>

* delete _in_legacy_dygraph

* do not calc reduce_all in eager mode

* refine python c cast list

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* refine

* fix paddle.get_default_dtype 

Chinese and English return values are inconsistent

* fix paddle.matmul 文档评估 #4407

把函数的输出改成正确的

* fix paddle.std文档评估 #4370

增加了一个unbiased=False的代码示例，没有增加numpy,怕引起误会。

* fix paddle.load文档测评 #4455 

只把代码拆分了5段

* try

* try

* try

* Update io.py

* Update io.py

* Update creation.py

* Update creation.py

* [Docs]add name description

* [Docs]fix broadcasting issue
Co-authored-by: NLigoml <39876205+Ligoml@users.noreply.github.com>

* [Zero-Dim] support input 0D Tensor for sundary api

* fix comment

* update config

* re-blacken python code

* temporarily disable date and diff_py_file

* skip a format

* rename op in yaml

* fix test_layout_autotune

* fix layout autotune of transpose

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

* support pure bfloat16

* support bf16 linear

* update PR to pass CI

* tiny fix where_grad_kernel.cu

* add bfloat16 to selu_grad to pass CI

* fix selu grad compilation error

* trim trailing whitespace

* fix `.cmake-format.py`

* revert npu ut changes, avoid npu ci error

* [OpAttr]Adapt tensor axis for reduce_min/max/mean/sum/prod

some python c api use final state

* add name attribute to code-block, test=document_fix

* remove redundant labels, test=document_fix

* remove redundant labels (from upstream), test=document_fix

* more COPY-FROM (try multiple code example), test=document_fix

* empty commit, try to trigger PR-CI-build

* fix some `Examples:` format issues

* fix some ci errors

* fix docs(en) bugs;test=document_fix

* update paddle.add docs;test=document_fix

* update paddle.where docs;test=document_fix

* for ci;test=document_fix

* Update manipulation.py

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

* 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

* nanmedian op

* 修改cuda kernel的bug

* 修复count_if在其他硬件平台不兼容

* 修复某些cpu硬件不兼容

* 修复某些cpu硬件不兼容

* 修复isnan判断

* 兼容numpy低版本不支持全部nan的情况

* 兼容numpy低版本不支持全部nan的情况

* fix code example

* fix api comment error

* 修改反向传播逻辑以及c++处理逻辑

* 完成修改建议

* typo pre_dim

* update en docs, test=document_fix

* remove numpy in en doc, test=document_fix

* add r,test=document_fix

* 添加api到all

* follow advice from chenwhql

* docs_epoch1

* docs_epoch1

* update kron api docs

* update erfinv;test=document_fix

* subtract

* for ci;test=document_fix

* 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

* add notes for quantile UT

* Supoort quantile in static-mode and add UT

Support the cases that the indices shape size is larger than the arr shape size

* add new api paddle.quantile and paddle.Tensor.quantile

* add take_todo and fix UT