* fix mod 0 error

* fix div 0 error in floormod

* support 0d tensor for interpolate

* support 0d tensor for interpolate

* add xpu unittest for interp

* update unittest for interpolate

* fix coverage

* fix code style

* fix for coverage

* fix coverage

* add elements count check in atan2

* add unittest and pre-check in inferMeta

* add dimension check

* 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 pivots type check and fix batchsize error

* add unittest for batchsize = 0

* fix nullptr in lu_unpack

fix batchsize error in LU_Unpack
add nullptr check in OneFunctor

* remove exception in device code

* add pinv check

* add unitest

* update unitest

* roll back

* fix not call stupid bug

* use context

replace all TensorFromVector & TensorToVector

AssignKernel async copy

Co-authored-by: Nzhangbopd <1299246947@qq.com>

* fix for matmul_grad

* another fix for matmul_grad

* fix

* fix queeze_ bug

* fix slove use squeeze_kernel

* fix slove use squeeze_kernel

* fix slove use squeeze_kernel

* add test case

* [KUNLUN] add op: maxpool_with_index

* use DeviceContext::Alloc() instead of DenseTensor::mutable_data()

* fix file format

* solve clip unittest failure

* minor fix

* Revert "solve clip unittest failure" since the issue is fixed
in #49535

This reverts commit 1127adc66e79afe35ac3c00bb34e6aaa7cd7d78b.

* align with xdnn on the definition of mask in max_pool_with_index

* minor

* add align check

* refine

* [Zero-Dim] support input 0D for paddle.moveaxis/quantile

* fix CI

* add reduce_sum_int64 and reduce_sum_int8 xpu kernels

* [PHI] add clip grad kernel with support type float32 and int32

* [PHI unittest] add clip_grad unit test

* adapt code to clang-format

* update xpu api output with clip_grad api

* remove int8 support of reduce_sum xpu kernel since it can not pass unit tests

* adapt license date, add code for XPUDataType convertion

* add int8 support of reduce_sum

* add reduce_sum unit tests for dtype int64, int8, and add more test cases

* update license date

* remove buggy bitwise and, or and xor xpu kernels, refine bitwise not xpu kernel

* change license date

* Add the cumsum 0d tensor

* xpu and cpu judge the 0d  tensor

* change to 2022 to 2023 in new commit

* fix the reverse logic

* Update warpctc for cuda-12

* Deprecate cudaProfilerInitialize for CUDA > 11

* Deprecate CUSPARSE_MV_ALG_DEFAULT for CUDA_VERSION >= 11040

* Add the missing thrust header

* first commit

* add some changes in stack kernel.

* move the location of GeneralDivMod

* fix code format error according to ci

* add where, atan2, median 0d ut

* add where, atan2, median 0d ut

* update

* update

* update

* [cpplint fix] under ps

* lerp support 0 Tensor

* fix lerp grad

* fix lerp zero test

* fix 0D + ND/ND + 0D

* fix check

* update code

* fix lerp infer shape

* static backward test

* updata static graph test

xpu2_op_list.cc. test=kunlun

* rename kernel

* delete sig

* modify code according comment

* fix ci bugs

* Implement a common PointerArray.

* Polish codes.

* Add including of header file.

* Add the branch of kFix8.

* Fix compiling error.

* Add alignas hint to fix the performance drop.

* Optimize the H2D copy in stack_grad.

* Rename the macro.

* Fix align hint for different compilers.

* Polish the define of PADDLE_ALIGN.

* Fix compiling error.

* Remove the align hint on windows.

* add stack grad kernel optimization

* add basic optimization kernel for stack_grad_kernel

* optimization of stack_grad_kernel for last dim stack and change code format with pre-commit

* try sequence_padding

* fix cant use mutable_data

* fix mistake fluid_sequence_scale.hh/CMakeLists.t include

* fix namespace bug

* fix framework::ToAbsOffset not found

* fix codestyle

* add concat optimization

* refine

* remove annotation

* use alignas instead of aligned_storage