* fix fp16 bug of tensordot

* fix fp16 of tensordot

* fix fp16 of tensordot

* fix fp16 dtype checking for clip op

* modify the name

* fix type error

* fix check error

* Update test_clip_op.py

fix test error

* Update test_clip_op.py

fix code style

---------
Co-authored-by: NZhang Ting <Douyaer2020@qq.com>

* fix fp16 dtype checking for argmax op

* run fp16 test when place is gpu

* Update search.py

fix doc

* add float16 in python/paddle/math

* add unittest for float16

* add float16 support in python.paddle.tensor.search.where

* remove fp16 error cases

* Add NotImplementedError unittest

* fix codestyle

* fluid to paddle.static; add cases with GPU

* Add float16 in English docs

* rename elementwise_heaviside to heaviside

* delete __init__.py

* fix bug

* support 'backend' in static ops

* change bitwise_xx comment in python

* change bitwise_xxx comment in python

* change 'backend' and 'data_type' in GetExpectedKernelType

* support 'complex promote' in yaml

* change the compplex_promote

* change 'kron' in math.py

* change 'kron' comment in python

* change kron comment in python

* change kron comment in python

* 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

* fix composite mean op map

* fix composite check output

* init layer_norm

* init layer_norm

* map output from composite rule to origin op

* add dropout op map

* add input map check

* polish log

* modify rules

* success test_forward

* modify test without cinn

* modify cinn test

* modify cinn test

* except fp64

* except fp64

* delete flatten

* delete unused change

* review

* pass cpu test

* code style

* delete flatten fp16 error

* modify flatten test

---------
Co-authored-by: Ncyber-pioneer <chenzhuo@tju.edu.cn>

* add logspace yaml

* update by comments

* resolve test framework conflicct

* 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 axis in some elementwise api

* fix inplace bug eager-gen

* fix bug

* revert change for CheckInplace

* polish code

* [Divide by 0 Error] add svd check

* [Divide by 0 Error] svd check migrate to c++, move svd test_0_size

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

* fix numpyScaler2Tensor type error

* fix to_tensor docs, test=document_fix

* [Divide by 0 Error] add eig check

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

* [Divide by 0 Error] Fix class name error

* add axis check for unbind

* add axis range check for unbind

* update unittest and axis validation for unbind

* add unittest invalid axis for unbind

* restore axis extract for unbind

* add unstack axis check

* IndexErr -> ValueError

* add static select