* AMP arange & Test

* fix arange bfloat16 dtype

* update for review

* update for review2

* fix tile

* update

* fix ci

* r

* f

* fix windows ci

* update bfloat data

* fix bloat16 input

* add print

* Update test_where_op.py

* update kernel

* del repeat

* update review

* add softplus double grad

* use constant method

* add output defs for fused_adam kernel

* complete the oters defs for cpu and gpu

* remove register for param_out

* Add output defs for sgd kernel

* add datatype infer for sgd

* add infer logic

* add output defs for edit_distance kernel

* change seqnum as output0

* add REGISTER of float32 in accuracy

* fix something

* * add comm context for device context

* add broadcast phi operator kernel and api

* add broadcast support dtype, update ut

* fix broadcast bfloat16 type

* fix ut

* update test_collective_broadcast_api timeout to 300

* add visit_place to phi/core/utils

* remove reference to operator.h in phi/kernels/funcs/math_function.h

* update data type from framework.proto to phi

* fix enforce error in fluid

* add isfinite

* add isnan & isinf

* add xpu isNaN

* mean fp16

* fp16

* [AMP OP&Test] mean append bf/fp16

* means append more bf16 uts

* format class name

* fix ci

* fix for windows

* fix issue

* fix redundancy

* fix redund

* fix elewise_max ut bf16 numeric delta

* remove use func

* add bf16 fp16 type support for interpolate

* add bf16 fp16 support for interpolate in phi on cpu

* move DeviceContextPool to phi

* add EmplaceExternalContextFunc

* update namespace

* update cmake

* fix bugs and create context_pool_impl.h

* replace platform::is_xxx_place

* fix bugs

* update generator

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix bugs

* fix enforce usage

* Revert "fix enforce usage"

This reverts commit 5f521f08a69713cee506e64a00ec6d9fba709e27.

* fix bugs

* rm XPUDeviceContext and CustomDeviceContext

* fix bugs

* fix fix context init bug

* fix bugs after merge

* fix bugs

* fix name

* fix mutable_data

* update and fix bugs

* fix bugs

* update

* fix bugs

* fix name

* fix bugs

* merge

* fix bugs

* create context_pool in phi/backends

* create context_pool in phi/backends

* fix bugs

* fix xpu bugs

* fix rocm bugs

* fix bugs

* fix bugs

* fix bugs

* fix xpu bugs

* update

* update

* fix bugs

* fix bugs

* decouple memory copy

* fix ci bugs

* fix ci compile bugs

* fix rocm compile

* fix ci bugs

* Check structed kernel for new executor static build

* Update code

* Ready for resnet50

* Move transfer_dtype to phi

* Ready for transformer

* Fix CI errors

* Fix layer_norm InferMeta

* Remove layer_norm infermeta fix

* register fp16 and bf16 kernel for uniform_random

* fix compile

* support selected_rows

* add ut

* revert cpu

* fp16 test skip cpu

* 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>