* profile reduce kernel for fp16 and reduceHigherdim

* use reinterpret_cast

* fix for CI on ROCm

* add Macro for ROCm

* ROCm CI config

* ROCm CI config

* unit test repair

* pull

* add common_funcs.h

* reduceType

* Update reduce_function.h

* not higher

* rename

* implement of matmul using cublasLt instead of cublas

* cublasLt bugfix

* Update matmul_kernel_impl.h

* Update matmul_kernel_impl_via_blasLt.h

* for-loop-algo

* PR comments changes

* add macro

* ci unused variable isCublasLt

* ci unused variable isCublasLt macro

* split matmul to autotune

* rewrite the split kernel with segmented_array

* rewrite the split kernel with segmented_array

* rewrite the split kernel with segmented_array

* add some method for cuda_graph

* fix bugs for rocm

* change for ci-error

* i dont know why ci-model-benchmark gives a shit error, so i recover codes with original one to see if original codes work.

* add some changes for passing mode_benchmark and coverage ci

* fix ci error

* fix ci-rocm error

* add some changes for header

---------
Co-authored-by: Nzhangbopd <1299246947@qq.com>
Co-authored-by: NBo Zhang <105368690+zhangbopd@users.noreply.github.com>

* 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

* 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.

replace all TensorFromVector & TensorToVector

AssignKernel async copy

* add align check

* refine

* 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

* 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.

* 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

* Use BroadcastKernel and ReduceKernel to optimize expand and expand_grad.

* Correct the axis when there is only 1 input in BroadcastKernel.

* Add the calculate of output's shape.

* revert concat and change concat to stack

* let stack kernel support int8, uint8 and bool type

* move dropout_impl from fluid to phi

* move cuda_graph_with_memory_pool from fluid to phi

* update namespace

* remove cuad_graph in fluid

* fix mac-build

* fix bugs

* correct CodeStyle

* fix mac-build

* fix mutable_data

* fix stl include

* fix copy param

* move gather_scatter_kernel from fluid to phi

* mv gather_scatter_kernel to gather_scatter_functor

* move maxouting from fluid to phi

* move matrix_bit_code from fluid to phi

* replace mutable_data and fix include

* fix include

* move gather_scatter_kernel from fluid to phi

* Revert "move gather_scatter_kernel from fluid to phi"

This reverts commit 3d0b1eaf179656072e8c483dfca688cccccdda01.

* optimize bias_add reluv2 in half2

* Add annotation

* refine code format

* First Commit.

* add some codes

* add elementwise loader

* fix code styles

* merge with develop

* add some changes both in elementwise and transpose

* add init operation in broadcast kernel.

* change codes according to pr suggestions about transpose file

* fix error for op-benchmark ci

* fix according to ci

* fix codestyle

* add double complex<float> complex<double> dtype support for syevj_batched

* fix use_syevj flag for precision loss when input dtype of syevj_batch is complex128 in some case

* optimize eigh in different case

* fix missing ; bug

* fix use_syevj bug

* fix use_cusolver_syevj_batched flag

* move norm_utils.cu.h from fluid to phi

* remove norm_utils.h in fluid

* fix bugs and replace mutable_data with Alloc

* replace mutable_data with Alloc

Reenabled ext_reorder recording for TransDataLayoutFromOneDNN

* remove bbox_util.h from phi

* add file bbox_util.h

* reframe bbox_util.h

* first commit

* fix bugs according to ci

* add some changes

* change file name into function.cu.h

* remove const_cast

* Replace mutable_data with DeviceContext.Alloc in phi kernels

* Fix CI errors

* Fix CI errors

* Fix CI errors, test=kunlun

* Fix CI errors, test=kunlun

* Handle rnn_functor

* Update approvals

[Fluid Clean] remove nn.topk, nn.ctc_greedy_decoder, nn.im2sequence, nn.multiplex, nn.smooth_l1 (#48289)

* rm poly_util.h

* format code

* fix some problems

* format code