* untracked files

* prelu_perf

* remove unused files

* upd

* fix bug

* [XPU] add int32,fp32 support for conv2d_transpose*

* update

* Revert "Revert "【Hackathon No.67】remove operator.h in blas.h (#50989)" (#51467)"

This reverts commit b9d91531.

* remove cout

* add header

* fix missing header

* fix refer fluid error

* fix missing header

* 更新 repeat_interleave_grad_kernel_impl.h

Change to phi style datatype.

* 更新 repeat_interleave_grad_kernel_impl.h

Fix missing header

* datatype fluid -> phi

* paddle::experimental -> phi

* fix reference error

* fix reference error

* fix reference error

* fix errors

* fix missing FLAGS

* fix missing headers

* fix missing headers

* fix missing headers

* fix missing headers

* fix missing header

* fix missing header

* fix errors

* Delete randperm raw op

* fix

* test_get_kernel

* add invoke signature

* change reduce_max

* change frobenius_norm

* reset reduce_max according to composite and change reduce_all

* fix the bug when Scalar(*)

* fix 'scalar when support_tensor'

* change code according to review

* change 'keep_signature' to 'manual_signature' and add some erro info

* Delete hardswish_raw op

* fix ut

* modify_yaml

* delete default param

* add output for matmul_double_grad

* add split_with_num composite rule

* add split_with_num composite rule

* add split composite rule

* update

* update test

* update test

* delete split_with_num_grad

* first commit

* fix code bugs in for_loop

* fix bugs in cuLoadAddStridedInputs.

* optimization for LayerNormBackwardComputeGradInput

* add unitest for validating the optimization

* fix windows ci error

* cuda graph support multi-stream for new executor

* fix windows compile error

* delete create_cuda_graph_stream

* add fp16 and bf16 test

* update

* remove device_context include

* fix bug

* fix bug

* finish task

* add static_check and fix unittest.

* add int32/64

* Update test_cross_op.py

---------
Co-authored-by: NZhang Ting <Douyaer2020@qq.com>

* add all_gather and fix conflicts

* fix code format

* fix ut

* fix broadcast ut

* refresh

* compat

* register

* testop

* fix

* fix

* fox

* cast

* cast

* fix

* type

* fix

* out

* cast

* fix

* fix

* fix

* broad

* broad

* broad

* fix

* fix

* fix

* fix

* fix

* broad

* broad

* numel

* fix

* fix

* fix

* fix

* cinn

* fix

* fix

* fix

* fix

* remove transpose infershape

* fix ci bugs

* fix ci bugs

* delete transpose infershape

* fix ci bugs

* fix ci bugs

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

* restore custom_device.cc

* Add output defs for mode kernel

* fix bug

* add fp16/bf16

* add grad bf16

* test name

* platform::CUDAPinnedDeviceContext -> phi::GPUPinnedContext

* replace platform::TraceEventCollector

* remove fused_matmul from list

* add infermeta for fused matmul

* add from_blob

* fix test

* fix test

* fix codestyle

* add gpu test

* fix test

* update

* add comment

* fix comment

* update comment

* fix CI bug

* add thread_local

* update

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix cmake

* fix CI-Py3 make

* update

* use api_reg

* fix include

* update

* update

* update

* fix bug

* fix bug

* fix bug

* fix bug

* mkldnn->onednn

* fused softplus op + kernel

* remove extra attributes

* add missing handler

* change var name

* Add output defs for conv3d_coo distribute_fpn_proposals kernel

* fix

* add register of KthvalueKernel

add register of KthvalueKernel

* Update kthvalue_kernel.cc

* Update kthvalue_kernel.cu

* use python to generate cutlass code

* refine CommonConvKernelPart1, CommonConvKernelPart2

* remove useless code in generate_cutlass_code.sh

* add more config in conv2d_residual

* CommonCutlassConvKernelPart1 and CommonCutlassConvKernelPart2

* add group conv support in util.cu

* remove .sh

* refine name

* make name goodgit status!

* add fuse_alpha

* make code easy to understand

* mot fopen generate in py

* use python script to generate conv2d,group=1 cutlass code

* use const &

* use const & && use python script to generate conv2d/group=1 code

* Update interpreter_util.cc

* Update auc_kernel.cc

* Update auc_kernel.cu

* Update auc_kernel.cc

* Update auc_kernel.cu