* 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>

* tmp gather vjp

* support gather

* remove useless code

* fix compiling error

* fix ut

* add eager test

* add eager test

* add seed

* fix cpu error

* fix transpose op compat

* remove tensor index case

* fix prim_cinn

* fix ut

* 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

* testcase init commit

* skip sign conflict

* fix year

* decouple_memory

* perfect memory utils

* fix ci bugs

* fix inference bugs

* fix custom test bugs

* fix converage bugs

* modify code according comment

* modify namespace

* deal with compile bugs

* process unit test matched test_p*

* fix ci bug

* fix ci bugs

* fix codestyle

* remove all tests about pe and restore some irrelated tests

* delete test_parallel_executor_test_while_train.py

* assert len(self.places) == 1

* remove with_data_parallel in unittest

* remove multi-card related checks

* remove with_data_parallel in test_multiprocess_dataloader*

* fix error hint

* fix typo

* 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>

* Check -1 shape for input_spec and program when prim or cinn enabled

* Polish neg shape check

* Polish code

* Fix UT

* Fix UT in static

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

* [dy2static] support fallback for whole graph. (stage 1)

* bug fix

* bug fix and add a new unittest

* fix code by code review

* fix coverage

* [dy2static] ParameterRecorder Part 2

* Parameter Recorder - 2 bug fix

* bugfix: fix the dygraph go into _jst.ld() errors.

* fix ci error.

* fix ci error

* update include directory

* fully support C++ extension, pass unittest

* fix include directory

* support both extension and operator in one file

* polish testcase

* add jit unittest

* update third_party.cmake, pass CI test

* fix cmake

* fix setup

* fix inference, fix unittest precision

* fix unittest precision

* fix inference_lib cmake

* try fix setup, try fix inference_lib

* try fix inference_lib pybind

* fix mix_op_extension, fix inference_lib

* fix mix_op_extension, fix inference_lib

* change cmake

* change cmake

* add compile flags

* add Python.h headerfile

* add test_custom_plugin_creater cmake

* comment compile flag

* pass all CI

* pass all CI

* comment compile flag

* try solve test_custom_plugin_creater link error

* try solve test_custom_plugin_creater link error

* polish codes

* remove windows compile flag

* remove python_include_path

* update pybind11, 2.4.3->2.6.0

* update pybind11, 2.6.0->2.10.0

* update pybind11, 2.10.0->2.6.0b1

* update pybind11, 2.6.0b1->2.6.0, start fix unittest

* fix pybind11 2.6.0 VarBase print error

* fix pybind11 2.6.0 VarBase print error

* handle PADDLE_ON_INFERENCE

* modify according to reviewer

* fix cmake

* cmake decouple pybind_util when not ON_INFER

* cmake decouple pybind_util when not ON_INFER

* remove copy of inference_lib.cmake

* change pybind.cc headerfile fluid->phi

* check win

* fix random error

* fix manage

* move fluid.transpiler.details

* fix setup

* fix

* fix setup

* add setup

* change error

* fix

* Add unittest for zero-dim kron.

* Fix zero dim kron.

* rename multi_tensor_adam to fused_adam

* fix some bugs

* fix CI coverage

* rename test_fused_adam.py

* fix some bug

* add test_fused_adam_op.py

* fix some bugs

* fix fused_adam_op.cc

* fix CI bugs

* fix CI bug

* fix CI bug

* change SHA

* update to oneDNN 2.7

* update to 2.7.1

* update to 2.7.2

* add supported hardsigmoid

* update to 2.7.3

* limit cpu threads for int8 test

* group activations

* [XPU] add fp16 support for cumsum and log.

* [XPU] add fp16 support for cumsum and log.

[XPU] add multi_encoder_xpu_slice_fuse_pass, generate_sequence_xpu_fuse_pass, generate_sequence_xpu kernel (#50570)

* [RM FLUID] rm fluid_pslib_init

* [RM FLUID] for ci

* [RM FLUID] for ci

* [dy2static-bugfix] fix backward gradient aggregation bugs
1. Yolov3 and Yolov5 all face the same problem.

* remove set_device

* code review fix

* New onednn test

* checkopoint

* added new test, fixed issue with onednn bias

* fix bias check

* remove prints, refactor code

* delete old test

* update python tests cmake

* Delete depracated conv bias

* Delete outdated bias from convolution test

* add logspace yaml

* update by comments

* resolve test framework conflicct