* Support different dtypes of inputs for broadcast for dropout optimization  (#52093)

* 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

* PR comment

* dropout_nd_optimization (#51479)

* with printf

* add DropOutNdForwardKernel

* PR comment

* Dropout optimize & clean broadcast inT and ElementwiseType (#52969)

* 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

* Fix xpu2 kp compile error (#53548)

* fix conflict

* conflict

* add bf16 and fp16 tests

* fix dtype check

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

* restore custom_device.cc

* 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

* standard api

* fix sparse bugs

* fix xpu bugs, test=kunlun

* remove hard code for custom unittest

* open ci, test=kunlun

* deal with conflict

* first commit

* add fp16 ctest files for compare op

* add cpu register of float16 for compare ops

* Move compare OPs to phi

* Fix bug

* Use BroadcastKernel and ElementwiseKernel in phi