* add composite op hard swish

* add test grad

* update apis calling

* update date range

* add ut

* tune off cinn for 0-d shape

* skip cinn

* remove transpiler

* Revert "remove transpiler"

This reverts commit 46044ccd52011d45d7026786d331f264a6a8f645.

* Revert "Revert "remove transpiler""

This reverts commit 80ad0945401b5b5efebac4baee0ec50a793d4405.

* codestyle

* fix setup

* fix

* fix

* implement composite full_like and simple unit test

* implement op tests for composite full_like op

* some modification as reviewers suggested
add cinn op test to CMakeLists.txt
fix code style

* fix code style

* modify input args of prim fill_any_like op

* resolve conflicts

* resolve conflicts

* modify python api and unit tests as suggested

* resolve conflicts

* resolve conflicts

* use framework.dtype to convert dtype in Op test

* add silu composite rule

* fix code style.

* add silu fp16 unit test.

* Add flatten composite rule

* get the right xshape and pass func test

* add cinn unit test

* Remove cinn test, wait for it to be added after repair

* add comp test to test_flatten_contiguous_range_op.py

* remove func test on composite_ops

* Add comments to maybe_wrap_dim func

* remove commented code

* fix the problem with 0D tensor case

* add flatten split rule comment

* fix syntax issues

* block flatten on resnet_prim_cinn

* remove maybe_wrap_dim func

* Use none instead od xshape

* [RM FLUID] rm parameter_server

* [rm ps] for ci

* [rm ps] for ci

* [rm ps] for ci

* [rm ps] for ci

* [mv fleet] mv fleet to distributed

* [mv fleet] for ci

* [mv fleet] for ci

* [mv fleet] solve ci of version

* Revert "fixoptminizer _set_auxiliary_var bug (#50335)"

This reverts commit c44005f0.

* Revert "refine optimizer create accumulators (#50188)"

This reverts commit 244e7546.

* Revert "fix found_inf bug for custom optimizer (#50158)"

This reverts commit 64573f9f.

* Revert "refine amp scaler found_inf (#49864)"

This reverts commit 382e9a06.

* fix code format

* fix conflict

* change amp with to_prim

* fix prim amp

* fix rules

* fix liear

* add amp test

* add test

* disable this test on cpu

* disable this test on cpu

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

* fix attrs loss in creating op

* add comment

* add case

* add case

* remove unused case setting

* map output from composite rule to origin op

add mean layer_norm dropout op map

add input map check

composite softmax support input shape []

* polish log

* [prim] add dropout composite rule

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

* 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>

* fix flatten op map

* remove prim op all list

* add op map info of full_like

* polish 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>

* [RM FLUID] trainer_pass&heter_trainer_pass
* [RM FLUID] rm distributed_strategy

* check win

* fix random error

* fix manage

* move fluid.transpiler.details

* fix setup

* fix

* fix setup

* add setup

* [RM FLUID] rm fluid_pslib_init

* [RM FLUID] for ci

* [RM FLUID] for ci

* support xpu multi-card infer

* add ut

* clean code

* clean code

* fix

* fix

* fix

* fix

* beta

* small commit

* add batch_norm composite rule

move composite test case

remove unuseful var

add composite op blacklist

* small change v2

* finish the test_composite_mean and test_composite_mean_grad

* add ops assertion to the tests

* add cinn test

* fix the error and inappropriate usage in func: mean_composite

* remove the ref of outer lib in primtives.py

* modify sample code of reduce_sum

* fix composite mean op map

* modify testcases to test more float type

* remove cpu float16 test

* cinn test fix

* remove reduce_max

* change the name sum to sum_x

* change the use of reduce_sum to sum

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

* map output from composite rule to origin op

add mean layer_norm dropout op map

add input map check

composite softmax support input shape []

* composite softmax support shape []

* polish log

* solve conflict

* polish code

* polish op map output

* add check dtype

* make FusedMultiTransformer supports variable-lengths.

* modify ffn2 when cuda_version >= 11.6 because of #49392.

* code style

* delete remove_padding

* add gelu composite rule

* use full replace fill_constant

* change the form of calculation

* remove float16 test for composite gelu

* reformate code

* remove float16 test case

* add forwad with prim and backward without prim test

* add float16 test for composite gelu and add high dims test

* add float16 test case and high dims test

* shield float16 and cpu test case

* increase train step to 10 in test cinn prim gelu

* replace pow to multiply

* hidden unzip

* fix

* fix

move composite test case

remove unuseful var

add composite op blacklist

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