* refactor scale kernel that its input is selected_rows

* complement upload file

* Support allocate_from in Tensor and allocate_data in Context

* fix #ifdef CUDA

* fix cycle depends

* fix test_xxx_dev_api failed

* fix windows compiling error

* fix unittest

* modify into PImpl

* fix selected rows

* add TODO comment

* refine interface according reviewer

* updates callers, test=develop

* updates tensor, test=develop

* fixes errors, test=develop

* remove some dtypes, test=develop

* fix errors in the base storage modification, test=develop

* fixes a bug, test=develop

* fixes the bugs in push the whole, test=develop

* updates, test=develop

* update

* update, test=develop

* fixes the mac-py3 CI, test=develop

* remove the storage impl, test=develop

* updates some codes, test=develop

* update, test=develop

* updates pten allocation, test=develop

* Migrate bfloat16/float16/complex from platform into pten::common

* fix typo

* fix code style

* Merged LoDTensor with Tensor,test=allcases

* Patched python level LoDTensor

* Patched python level LoDTensor

* Merge Tensor into DenseTensor

* Fixed namespace issues,test=allcases

* Fixed merge issues

* Fixed inference issues

* Fixed NPU test issues

* Fixed merge issues

* rename register marco

* fix error changing

* fix format error

* move dot_dev api into dot_kernel.h

* add infermate header

* modify to dotkerel in dot_op.h

* mvoe conj dev api into complex_kernel.h

* move sign dev api into  sign_kernel.h

* move scale dev api into kernel.h and remove infermete.h

* rm paddle/pten/include/math.h

* rm paddle/pten/include/math.h

* rm include dir

* rm paddle/pten/include/math.h

* fix conflict with develop branch

* rm devContext in conj_op.h

* add the missing complex_kernel header

Add OpFunctor and replace cast, scale, clip, bce_loss and abs_grad with elementwise_no_broadcast (#38500)

* rename cuda to gpu

* revert CMake change

* resolve conflit

* rename other cuda to gpu

* poish details

* remove eigen and blas dir

* fix declare error