* 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

* mkldnn->onednn

* fused softplus op + kernel

* remove extra attributes

* add missing handler

* change var name

* 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

* move io

* fix ci bugs

* fix ci bugs

* fix py3 bugs

* fix example code

* fix example code

* fix text

* fix text

* deal with ci bugs

* perfect code according comment

* delete import batch

* [dy2static] bugfix: make stop_gradient a cache key
1. make stop_gradient cache key in dy2static.

* fix ci errors

* fix ci error

* fix ci error

* fix ci error

* Add gru qat int8 test

* Change place of model downloading

* Update paddle/fluid/inference/tests/api/CMakeLists.txt
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>

* Correct flags names and add description

---------
Co-authored-by: NSławomir Siwek <slawomir.siwek@intel.com>

* got rid of save_quant_model

* review changes

* 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

* remove with_data_parallel in unittest

* fix CI

* remove comment

* trigger CI

* revert part changes

* test_build_strategy_fusion_group_pass

* Fix some typos.
Signed-off-by: Yulv-git <yulvchi@qq.com>

* pre-commit
Signed-off-by: Yulv-git <yulvchi@qq.com>

---------
Signed-off-by: Yulv-git <yulvchi@qq.com>

* support prim test in OpTest

* fix cmake

* fix op test

* fix test_input_spec

* disable cinn in reduce_sum unit test

* add bfloat16 dtype for sum

* polish code

* add clear jit program function

* convert grad out from tensor to numpy

* remove unnecessary code

* add only_prim flag

* fix flag

* fix op test

* fix optest comp inplace error

* fix op test

* fix op test with guard

* add initialization of check_comp flag

* fix comp inplace error in op test

* rename check_comp with check_prim and add bfloat16 dtype convert

* rename comp_op_type to prim_op_type

* rename comp to prim

* remove useless code

* skip ci check for only prim

* add no_grad_vars and grad_outputs in prim test

* fix var_dict

* fix op test for only_prim

* fix dy2static bugs

* polish some code

* 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

* remove extra input of conv2d

* fix bug

* fix unittest bug

* adjust conv2d.pbtxt

* fix cpu_quantize_pass_tester

* revert use_addto of conv2d

* fix runtime attribute

* fix bug

* recover force_fp32_output in conv2d

* refine error info

* fix bug

* 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`

* [Eager] polish some apis logic

* polish api logic

* [Auto Parallel] Remove some fluid APIs

* [Auto Parallel] Fix the wrong import

* [Auto Parallel] Remove unnecessary comments

* [Auto Parallel] Fix the importing bug