* add tune o1 level

* add unittest

* [Test Mv] move collective/multinode to test dir

* add CMakeList.txt to test/collective

* add bash_test_modules

* adjust the order

* recover bash_test_modules

* add_subdirectory(collective)

* resolve conflicts

* resolve conflicts

* mv python/paddle/dataset/tests/ test/dataset/

* use path to get file path

* add dataset

* remove cmake entry

* add all ops

* solve conflicts

* [AMP] add fp16&bf16 support for flatten op

* fix ci bug

* fix inpute should astype self.dtype bug and fix zerodim test name

* remove 0D-tensor bf16 test for window-inference-ci pass

* remove flatten from op_accuracy_white_list

* update

* update

* update

* update

* [CodeStyle][B015] delete unused

* [CodeStyle][B015] add assert

* optimize composite rule by making scalar shape as []1

* fix shape usage for 0D

* fix rules

* fix 0D error

* fix flatten 0D error

* fix bn eval mode

* fix bn test

* fix flatten

* add bitwise_not trt converter

* run pre-commit

* modify neg_one_tensor_dims init way

* fix BOOL type support requires TensorRT 8.4

* fix int8 & uint8 type

* improve data type readability

* modify filter logic

* fix coverage CI

[CodeStyle][PLC3002][PLE1205] simplify lambda and add missing placeholder to logger template (#52133)

[CodeStyle][C413][C414] Unnecessary <list/reversed> call around sorted(),<list/reversed/set/sorted/tuple> call within <list/set/sorted/tuple>() (#52065)

* add tanh and cast prim test

* fix tanh test

* fix 0-d test

* add sqrt fp16 prim test

* add public_python_api in prim test

* fix test_squeeze2_op

* add tanh prim test

* add dropout prim test

* [Dy2St]Fix clone for test state problem

* clean code

* modify test_cumsum_op

* modify test_cumsum_op

* fix dropout test

* add dropout in cmake

* fix dropout test

---------
Co-authored-by: NAurelius84 <zhangliujie@baidu.com>

* perfect structure kernel registry

* fix ci bugs

* add fused_yaml fused_backward

* fix eager_funciton bug

* add some comment of fused yaml file

* add 'support_dygraph_mode' configuration in fused yaml

* delete some 'fused_api.h' in include file

* add fused flag in api_gen

* [CustomOP Inplace] Automap inplace dtype and shape, prepare for vector<Tensor> output

* delete dtype,shape func of multi_inplace op

* [CustomOP Inplace] Automap inplace dtype and shape, support vector<Tensor> output

* support assign op

* support assign infer_var_type

* change code according to review

* change code according to review

* only save 'get_infer_var_type_func'

* rest file mode

This reverts commit 9c238d2b.

* unbind support bool dtype

* replace np.array_equal

fix bug

remove useless

fix bug

add pybind

remove log

fix style

fix style

change api

instance_norm_grad kernel. Fix bugs that the data type of input is different from output in reduce_sum kernel. test=kunlun

* fix_gcc12_error

* fix gcc12 error

* fix gcc12 error

* fix_gcc12_error

* patch on eigen3 for fixing gcc12 error

* Update multiary.cc

* extract Op and OPMaker to .h

* extend pattern for fused_op

* set "with_residual" default to false

* adjust fuse passes

* remove fc+eltwise flag

* fused_output_scale

* activation attrs

* remove extra attrs

* fix int8/bf16 unit tests

* simplify RecomputeOutputDims

* remove unused method

* Add description for attributes

* add extra check

* adjust op compats

* update quantize test

* fix protobuf parsing error

* fix int8 performance

* fused elementwises

* merge develop

* remove activation

* restore activation for existing add/sub ops

* fix mea compile error

* support 2-D bias

* add inline to avoid compile error

* polish codes