* support auto generate for activation_op relu6

* add generated_static_op for activation_op in CMakeLists.txt

* rm , from \* @param(.*?),

* Apply suggestions from code review

* Apply suggestions from code review

* create phi so

* fix ci bugs

* fix py3 bugs

* add file

* fix py3 bugs

* fix windows bugs

* perfect so

* fix py3 bugs

* delete all static target in phi

* fix windows bugs

* fix py3 bugs

* fix ci bugs

* fix windows bugs

* fix bugs: gflags can't be linked by dynamic and static lib

* fix bugs that can not load 3rd party

* fix ci bugs

* fix compile bugs

* fix py3 bugs

* fix conflict

* fix xpu bugs

* fix mac compile bugs

* fix psgpu bugs

* fix inference failed

* deal with conflict

* fix LIBRARY_PATH bug

* fix windows bugs

* fix onednn error

* fix windows compile bugs

* fix windows compile bugs

* fix test_cuda_graph_static_mode_error aborted

* fix windows bugs

* fix mac-python3 error

* fix hip compile bugs

* change mode to static

* change to static mode

* fix ci bugs

* fix py3 bugs

* fix windows bugs

* fix bugs

* add static flag

* add PADDLE_API

* change position of PADDLE_API

* fix windows bugs

* change mode to dynamic lib

* fix windows static bugs

* deal with conflict

* fix windows unit bug

* fix coverage

* deal with conflict

* fix windows-inference

* fix py3 bugs

* fix bugs when compile type_info

* fix compile bugs

* fix py3 bugs

* fix windows bugs

* fix windows openblas

* fix xpu bugs

* fix enforce_test in windows

* update code according comment

* fix windows cmake bug

* fix windows bugs

* fix windows bugs

* delete cinn unittest

* fix cinn bugs

---------
Co-authored-by: lzydev <1528794076@qq.com>

* add log for memory stats

* fix string_split in einsum

* Try to increase the repeat of autotune and fix the setting of allow_tf32_cublas.

* Change the repeat of cublaslt to 10.

* Use FLAGS_cublaslt_exhaustive_search_times as repeats.

* Fix compiling error on CI.

* Polish the key and simplify codes.

* move raw kernels to legacy

* Update elementwise_add_kernel.cu

* fix

Fixed the bug in the api.cc file where there was an inconsistency between the specified type (std::vector<DenseTensor*>&) in the function pointer kernel_signature and the type of the phi kernel parameter (std::vector<DenseTensor*>) when the phi kernel is set to output as std::vector<DenseTensor*>. test=kunlun (#54053)

Removed unnecessary header files introduced

[XPU][PHI Kernels] bind bitwise_add kernel & add int32/int64 support to scatter_nd_add kernel for xpu (#54066)

* bind new kernels to xpu

* refine code

* fix bugs in unittest

* [AMP OP&Test] Support float16 in selu

* fix

* merge code from forsish

* polish

* paddle/fluid/pybind/auto_parallel_py.cc

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* polish

* [phi] autogen code tril_triu

* [phi][api]fix tril_triu_grad args

* [fluid] clean cmake; [phi] fix infer_meta

* Fix typos

* Fix

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update

* update HostAlloc

* update param name

* update cpu kernel

* remove kernel header

* update

* update

* update

* update

* update

* set out dtype

* static graph autogen code support for pad3d op

* bug fixed

* add ut for pad3d mkldnn op

* fix coverage

* fix bug

* fix bug

* Delete test_pad3d_mkldnn_op.py

* fix the static op generation for group_norm

* fix bug of mismatch

* fix bug of AssertionError

* fix setting of composite

* update_c++14_to_c++17_on_windows

* disable test_audio_logmel_feature and test_audio_mel_feature

* fix empty bugs for xpu

* fix empty bugs for xpu

* fix transfer_layout when input size if too big
* do not add TransferLayoutKernelGPU
* add int64 and add check

* Add GPU kernel for multiclass_nms3 op

* Make multiclass_nms3 gpu kernel output consistent with cpu kernel

* Fix API incompatibility

* Fix unittests on builds without CUDA

* Fix ROCM build

* Remove fluid headers; Use default atol for unittest

* Change function and variable naming

* Add comments; Reduce redundant code

* Use paddle test framework