* fix eig

* fix

* fix

* fix

* fix

* 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

* Delete hardswish_raw op

* fix ut

* 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

* 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

* 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

* 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

* [XPU] add increment op.

* fix ci

* [XPU] add reduce_min_grad XPU kernel

* add unittest for reduce_min xpu op

* Update interpreter_util.cc

* Update bincount_kernel.cc

* Update bincount_kernel.cu

* Update interpreter_util.cc

* Update is_empty_kernel.cc

* Update is_empty_kernel.cc

* Add output defs for all_close all_raw  kernel

* Update interpreter_util.cc

* Add function node in phi_kernel for MKLDNN

* fix the bug in 'BuildInferVarKernelContext'

* add infer_varkernel_utils.cc

* fix the bug:the first two parametes of 'BuildInferVarKernelContext' can't be template variable

* change the code according to first review

* change the code according to first review

* change the mode of paddle_build.sh

* change 'infer_var_kernel_fn_' to 'get_kerneltype_forvar_fn_'

* add the error information

* fix NotFound infomation warning

* fix NotFound infomation warning

* fix NotFound infomation warning