* flash attn

* seed

* almost

* softmax

* fix workspace

* add unitest; linux only

* fix setup

* fix datatype include

* fix setup typo

* fix def scope

* new error api

* use paddle fork

* fix attr bug; complete ut

* update flash hash

* fix rng reset

* fix offset

* fix comments

* 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

* rename elementwise_heaviside to heaviside

* delete __init__.py

* fix bug

* 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

* first commit

* main codes has been developed

* fix all bugs

* add vectorize input&output

* a test for optimization_of_layer_norm_fwd

* add some changes

* fix memory coalesced access for more optimization.

* fix addition ctest error

* fix according to ci-approval

* remove change on slice

* 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>

* 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

* 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

* rm framework::tensor_util in phi

* clean TensoCopy

* fix bugs

* fix bugs

* fix bugs

* repalce mutable_data

* revert custom_device_test.cc

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

* remove set_device

* code review 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

* 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

fix X

remove TensorCopy

codestyle

add fluid memory header

fix symbol

fix cmake

fix cmake

fix context

fix header

fix place

fix context

fix context

fix context

fix code

fix custom context

fix custom context

fix copy

fix data_transform

fix style

remove changes of custom

fix scalar

* decouple strided_memcpy

* move strided_memcpy

* move strided_memcpy to phi

* fix namespace

* update

* fix gpu compile bugs

* add multi_tenosr_adam

* update multi_tensor_base.py, test_multi_tensor_adam.py, adamw.py

* fix adam.py optimizer.py

* fix adamw.py

* fix test_multi_tensor_adam.py

* fix CI bug

* fix CI coverage

* fix ci bug

* fix betapow

* fix some bugs

* fix test_adamw_op.py

* fix CI coverage

* fix multi_tensor_adam_kernel.cc

* fix CI bug

* fix multi_tensor_adam_op.cc and test_multi_tensor_adam.py

* fix code style

* update C++ parts

* remove python parts modification temporarily

* add C++ ut

* update betapow copy code logic

* fix ci ut

* fix windows ci

* fix coverage ci

* improve coverage rate

---------
Co-authored-by: Nsneaxiy <sneaxiy@126.com>

* fix bn performance degradation

* support negative index in unique_consecutive

* add unittest

* add unittest

* add input check for accuracyOp

* add input check for gpu/accuracyOp

* add unittest

* use rank instead of dimensions in message

* update unittest

* update unittest

* generate some static graph ops

* fix the bug of pow

* add REGISTER_ACTIVATION_OP in operators.cmake

* modify the file operators.cmake

* paddle.nn.functional.softmax
* paddle.nn.functional.log_softmax
* paddle.nn.functional.gumbel_softmax
* paddle.nn.functional.prelu

* fix 0-d tensor for arg_min_max op.

* fix xpu.

* fix zero dims

* fix

* Update arg_min_max_kernel.cc

* Update arg_min_max_kernel.cc

* Update arg_min_max_kernel.cc

* Update test_zero_dim_tensor.py

* Update test_zero_dim_tensor_xpu.py

* Update test_zero_dim_tensor.py

* Update arg_min_max_kernel.cc

* Update arg_min_max_kernel.cc

* Update arg_min_max_kernel.cc

* [Divide by 0 Error] add norm check

* [Divide by 0 Error] fix x AttributeError

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

* Unify the gpu implementation of stack and unstack to reuse the optimization.

* Optimize the cuda implementation of unstack.

* Use GpuMemcpyAsync instead of memory::Copy.

* Fix error of calculating the index.

* Use FastDivMod to further imporve the performance of unstack.

* add pinv check

* add unitest

* update unitest

* roll back

* fix not call stupid bug

* use context

replace all TensorFromVector & TensorToVector

AssignKernel async copy