* modify name

* merge develop

* original code

* build modify

* success 2*2

* fused dim=1 failed

* success

* modify static

* success for static except dim=1

* delete log

* tmp modify

* success

* success

* add fp1664

* delete fp16 cpu test

* stop windows test

* review modify

* modify tanh test

* modify tanh

* fix_conflixt

* modift static prim

* fix_conflict

* Update test_static_prim.cc

* update

* bug fix

* add cumsum prim backward

* skip aixs=None test case

* fix op generante eror

* fix static test error

* remove unused code

* fix static test error

* skip cpu float16 test case

* skip eager cpu cumsum float16 test case

* add cinn test

* reshape flatten out

* Disable cinn single test

* remove cinn test

* reformat todo

* add prim in cumsum op test

* remove old test

* fix typro

* fix typro

* fix typro

* pass axis=None test case

* remove forward prim test

* remove same name axis

* add unittest for nn.DropOut2D

* add fp16

* add fp16 in docs of temporal_shift_op.cc

* Update test_dropout_op.py

* support transpose and reshape

* support reshpe, transpose, cast vjp

* merge develop

* recover unused file

* remove prim base

* support problem

* remove additional status settting

* remove additional status settting

* fix ut

* fix ut

* fix ut

* fix no grad branch

* add more test

* disable fp16 in cpu

* fix test

* remove utils

* remove utils

* remove utils

* remove utils

* Update get_data_from_tensor.h

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* Update rnn_kernel.cc

* Update rnn_grad_kernel.cu.cc

* Update rnn_functor.h

* Update rnn_kernel.cu.cc

* Update rnn_kernel.cc

* remove utils

* Update rnn_functor.h

* remove utils

* remove utils

* remove utils

* remove utils

* remove utils

* Update rnn_functor.h

* Update unsqueeze_op.h

* Update utils.h

* roll back

* Update tensor_utils.h

* Update tensor_utils.h

* Update tensor_utils.h

* Update tensor_utils.h

* Update tensor_utils.h

* use TensorToVector

* use TensorToVector

* use TensorToVector

* use TensorToVector

* use TensorToVector

* Update rnn_kernel.cc

* Update rnn_grad_kernel.cc

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* add TensorToVector

* roll back

* Update tensor_utils.h

* Update rnn_functor.h

* Update rnn_grad_kernel.cu.cc

* Update tensor_utils.h

* Update rnn_kernel.cu.cc

* Update rnn_grad_kernel.cc

* Update rnn_kernel.cc

* Update rnn_grad_kernel.cu.cc

* Update rnn_kernel.cu.cc

* Update rnn_grad_kernel.cc

* Update rnn_kernel.cc

* TensorCopySync to phi::Copy

* fix codestyle

* rnn_kernel.cc: add ;

* replace all GetDataFromTensor with phi::GetVectorFromTensor

* delete include of util.h

* register bfloat16 datatype for squared l2 norm

* register bfloat16 datatype for softmax with upper triangular mask

* register bfloat16 for tril triu cuda kernel

* Enable matmul + bias fusion in fused_gat_attention.

* Add a variable to control whether using fused matmul + bias.

* 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>

* 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 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

* add approve rules

* 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

* add attr

* 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

* temp

* modify op test

* except cinn test

* modify bfp16

* modify pad grad

* add pad_grad dtype

* start cinn part

---------
Co-authored-by: NCharles-hit <wanghao107@baidu.com>

* move fluid generator to phi

* move fluid generator to phi

* update .gitignore

* fix bugs

* fix cannot find "glog/logging.h" in "generator.h"

* fix bugs

* 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

* kunlun support c_softmax_with_cross_entropy

* fix grad calc error

* replace mutable_data() and ShareDataWith()

* update xdnn

* update xpu toolchain to 20230215

* remove fluid from test file

* 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 bw invoke fw

* fix scale in static_backward.yaml

* fix the bug in tensorrt/convert

* move 'scale','sign' into ops.yaml

* add scale_grad of scale in op_compat.yaml

* change generated_static_op in CMakeLists.txt

* move sequence_padding to phi

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix buga

* fix bugs

* revert and update phi::XPUContext

* move save_op to fluid

* fix namespace

* move_load_kernel

* fix kernel_register

* move serialization to fluid

* fix test

* fix bugs

* 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

* move platform::transform to phi

* fix bugs

* move transform_test to phi

* fix cmake

* update namespace

* fix cmake

* support xpu multi-card infer

* add ut

* clean code

* clean code

* fix

* fix

* fix

* fix

* move layer_norm_kernel.cu.h to phi

* fix bugs

* fix namespace

* fix bugs

* fix CI-Windwos

* replace mutable_data

* fix bugs

* fix bugs

* Use StandaloneExecutor in FleetExecutor

* Update FLAGS

* Fix CI errors

* Update code

* Add force_root_scope_vars config

* Update code

* Fix CI errors

* Fix test_layer_new errors

* move variable_utils from phi_api_utils to fluid

* fix coment

* update include

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* update

* update

* fix CI-Windows-OpenBLAS

* fix bugs

* fix bugs

* fix bugs

* update include

* move variable_utils to phi_utils

* fix namespace

* move profiler

* add file

* fix mac compile bugs

* fix ci bugs

* fix mac bugs

* fix ci bugs

* fix compile bugs

* perfect code according comment

* make FusedMultiTransformer supports variable-lengths.

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

* code style

* delete remove_padding

* Improved prootbuf upgrades

* Improved prootbuf upgrades

* Improved prootbuf upgrades

* limit protobuf version>=3.20.0