* floor div support float/double/bfloat16/float16

* add ut

* fix bug

* fix fft.ifftshift for floor_divide upgrade

* fix comment

* fix bugs

* fix bug

* move raw kernels to legacy

* Update elementwise_add_kernel.cu

* fix

* add meshgrid,expand_as, prod and grad bf16 kernel

* fix bf16 for optest

* modify code style

* fix amp test

* add complex support for  optest

* add complex grad test

* append one

* move some debug info

* move some debug info

* move some debug info

* move some debug info

* add more complex test

* Fix naming ambiguity

* Revert "add more complex test"

This reverts commit dbcb0516b8e53ba42e2d6089878a39b395345969.

* change backward gradient, add TODO

* change judgement for DropoutGradGPUKernelDriver

* add UnrollerWithoutVecSize and after this Loaddata to be refined

* pass unittest

* use same unroller with XPU

* BroadcastWithInt64Index

* BroadcastDataLoader template partial specialization

* fix compile errs in ROCms

* clean ElementwiseT and InT for BroadcastKernel

* default axis and clean inT

* remove redundant fast divmod computation

* optimize drop_nd & drop_nd_grad

* optimize BroadcastDataLoader bf16 fp16

* rm InT etc. after merge develop

* delete constexpr for windows ci

* fix conflict

* fix conflic with develop

* fix conflic

* new clean

* clean

* 'fmin'

* 'fix'

* 'fix'

* setup

* Update elementwise_kernel.cc

* Update elementwise_kernel.cc

* fix

* fix

* Update elementwise_kernel.cu

* fix

* Update elementwise_kernel.cc

* Update elementwise_kernel.cc

* Update elementwise_kernel.cc

* Update elementwise_kernel.cc

* Update elementwise_kernel.cc

* Update elementwise_kernel.cc

* [AMP OP&Test] Support fp16&bf16 in reduce_max

* fixed glog

* add

* add bfloat16 test for logical op

* rm useless code

* add uint16

* deal with comments

* fixed code style

* fixed code style

* fixed for ci

* deal with comments

* fixed for ci

* Add bf16 support for elementwise_pow

* Update ut

* finish pr

* skip cpu test for logical

* change test style

* fix error.

* Replace paddle::experimental::DataType as phi::DataType

* restore custom_device.cc

* Add output defs for all_close all_raw  kernel

* Update interpreter_util.cc

* 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 output defs

* add output defs for kps

* 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

* rename elementwise_heaviside to heaviside

* delete __init__.py

* fix bug

* delete axis of fmin

* fix bug

* rename kernel

* delete sig

* modify code according comment

* fix ci bugs

* refine reduce_all

* standard api

* fix sparse bugs

* fix xpu bugs, test=kunlun

* remove hard code for custom unittest

* open ci, test=kunlun

* deal with conflict

* standard_api

* add hardtanh

* first commit

* clarify the quotes

* change code style format

* support bfloat16

* Fix bug of reduce_sum op. When input.numel() > INT32_MAX, its result
is wrong.

* Fix some problems.
1. Change fluid head files to phi files.
2. Delete useless code.
3. Fix code style problems.

* Fix some code style problems.

* Fix some code style problems.

* move elementwise test=kunlun

* move add/sub/mul/div kernel to elementwise_kernel, test=kunlun

* fix ci bugs,test=kunlun

* fix ci bugs

* test=kunlun

* [OpAttr]Adapt tensor axis for reduce_min/max/mean/sum/prod

* first commit

* add fp16 ctest files for compare op

* add cpu register of float16 for compare ops