* [Zero-Dim] update 0d tensor api en doc, test=document_fix

* [BUG] fix windows kernel dispatch of _lzcnt bug (#53728)

* [Zero-Dim] fix functool.reduce more safe with intial value, to support empty list (#53182)

* [Zero-Dim] support 0d tensor for shape and squeeze onednn kernel (#52832)

* support 0d tensor for shape and squeeze onednn kernel

* set python api for shape op ut

* [Zero-Dim] distributed scatter/all_to_all support input 0D tensor (#53186)

* [Zero-Dim] Support paddle.sum/mean/loss api output 0D,test=allcase (#52739)

* [CINN Support 0D-Tensor] CINN supports 0D-Tensor with trick temporarily (#53382)

* [CINN Support 0D-Tensor] CINN supports 0D-Tensor with trick temporarily

* Add unittest

* [CINN Support 0D-Tensor] CINN hack squeeze2 with trick temporarily (#53454)

* fix test_autograd_dynamic (#53473)
Co-authored-by: Nzhwesky2010 <zhouwei25@baidu.com>

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Co-authored-by: NYangQun <qun.yang@intel.com>
Co-authored-by: NHongyuJia <jiahongyu@baidu.com>
Co-authored-by: NHydrogenSulfate <490868991@qq.com>

* [Perf]Removed usless assign op in while_loop

* refine assign

【Part II】补充API静态图中的check_dtype支持对float16和bfloat16的检查

* 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.

* rem is_compiled_with_npu

* rem nup related code

* make lint happy

* rem test

* remove some tests

* Update grad_scaler.py

* fix an error

* 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>

* add autogen code support for spectral_norm

* bug fixed

* fix PR-CI-Static-Check fail

[CodeStyle][C416][C417] rewrite unnecessary comprehension with function call and use generator instead of map (#52140)

* codestyle c416 c417

* fix error

* fix inc

* unify all C4 rules into one

* fix inc

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

* delete old dygraph op test

[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

* migrate fill_constant to paddle.tensor

* move fill_constant to paddle.tensor and repalce the reference

* add missing fill_constant replacement

* fix typro

* remove unused import fill_constant

* fix zeros import error

* fix circle import

* fix layers.zeros

* fix unitest

* fix unitests

* fix unitest

* use paddle.full replace fill_constant in samplecode

* fix sample code

* recovery xpu test

* recovery xpu test

* fix circle import

* fix utils import error

* fix utils error

* fix circle import

* redo

* fix circle import

* fix prim fill constant import

* fix type error

* fix increase error

* fix test error

* fix fill_constant

* add fp16 and bf16 test

* update

* move fluid.utils to paddle.utils.layers_utils

* fix error

* delete original fluid layers utils

* remove import and old utils

* remove more old utils import

* change import path of fill_constant in the layers_utils.py

* fix mistake

* fix error

* expose in __init__.py

* for comment

* when change the ref of func is_sequence, it should change to the root of is_sequence instead

* for codecheck

* [clear ps] del some all list

* [clear ps] for ci

* [clear ps] rm fluid emb

* remove dygraph.profiler

* remove fluid.input.one-hot and move embedding to paddle.static.nn

* fix unitest error

* fix type error

* fix type error

* fix xpu test error

* fxi sample code error

* fxi sample code error

* fix sample code error

* remove test.py

* remove variable in docstr

* 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>

* support 0D Tensor for while_loop op

* update

* clean unit test

* revert test_while_loop_op.py

* test again

* remove invalid check

* fix error

* change fluid to paddle.static

* fix paddle.full

* merge forward and backward test

* simplify code

* add precision check

* fix condition var check

* add dygraph test

* 为data_norm函数的input参数增加维度的判断并增加单侧

* 完善data_norm测试样例

* fix data_norm

* add dimension check for nce

* add unittest

* fix incorrect type in test_nce

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

* add dimension check for deformable_conv

* add unittest

* add channel_num check for paddle.static.nn.batch_norm

* fix bugs

* fix bugs

* add dim check for spectral_norm

* add unittest out of range for spectral_norm

* use ValueError when dim out of range for spectral_norm

* update dim limit and add unittest for spectral_norm

Modify English Doc of ControlFlow APIs for Scalar Tensor

Corresponding Chinese Doc PR: https://github.com/PaddlePaddle/docs/pull/5588

Support 0d Tensor in ConditionalBlockOp

1. Add dygraph 0d tensor support for ConditionalBlockOp
2. Set scalar loss shape when `append_backward`

* move fc from fluid to paddle2.0

* fix unit test

* fix some examples

* fix some examples