* add inverse kernel for xpu

* add more kernels

* add index_put kernel for xpu

* add index_put kernel for xpu

* remove unused headers

* refine test

* wait to avoid memory bugs for xpu

* refine inverse

runtime compiler api will only build special target if it is bind.

'--include-path' is not supported by hipcc and "-I/include/folder"
is better choice

fix ut:
        * device_code_test
        * test_code_generator
        * test_fusion_group_pass
        * test_fusion_group_op
Signed-off-by: Njiajuku <jiajuku12@163.com>

* onednn: rename macro to PADDLE_WITH_DNNL

* onednn: rename macro to CINN_WITH_DNNL

* Work for fa-2 padded fwd. Code to be cleaned.

* Work for fa2 unpadded fwd.

* Work for padded-bwd, dk get small diff on np.random.seed(0)

* Anyway I pass paddle's utest, except return softmax without dropout.

* Clean code.

* Modify interface.

* Clean code and add some check.

* Easy compile for dev.

* Fix ci.

* Fix ci-build.

* Add std c++17 option again.

* Limit max job when compiling fa2.

* Remove const_cast

* Add fwd params, to be cleaned.

* Clean code.

* Add bwd params.

* Clean code.

* Add enforce.

* Use v2.0.4

* Pass RNG state to fa2 capi

* Fix review.

* Add assert

* Skip compile for sm less than 80.

* [clang-tidy] modernize-avoid-c-arrays

* rollback

* [clang-tidy] fix

* close modernize-avoid-c-arrays

* fix PHI_DEFINE_string; add PHI_DEFINE_bool NOLINT

* fix PHI_DEFINE_string

* fix next_h_state and parity err

* fix win32

* fix cuda_graph

* fix accuracy_kernel

* fix math_function

* fix fused_softmax_mask_kernel.cu load_data and warp_reduce; rollback concat_and_split_functor ins_addr

* fix fused_dropout_add_grad_kernel

* fix

* rollback cu

* rollback concat_and_split_functor.cu

* rollback

[XPU][PHI Kernels] bind reduce_max_int64 set_value_bool sin_grad_fp32 cos_grad_fp32 for XPU (#55375)

* bind kernels for xpu

* format code

* format code

* 0d support for set value

* refine set_value

* [CustomDevice] fix release error for process_group_custom

* update

* squash pick the poc code
* fix build after rebase
* fix int8 conv and fc uts
* Fix and clean-up Get_SRC_Scale_Memory
* fix floating point fc uts
* fix test_analyzer_int8_googlenet
* test_analyzer_int8_mobilenetv1
* fix int8 mobilenet v2 and v3
* fix build error after rebase
* [oneDNN] rename library version
* fix conv bias datatype
* try to fix import error
* fix rebase error
* [oneDNN] pack library into python wheel
* add MKLDNN_SHARED_LIB_3 to env_dict
* fix test_analyzer_bert
* fix fill_constant op kernel
* fix ernie and matmul op ut
* fix softplus ut
* fix conv+relu6 fusion ut
* fix hardswish fusion
* fix quant+transpose fusion ut
* fixsgd ut
* fix int8 matmul with flatten
* fix fc+scale fusion
* fix conv/matmul+gelu fusion uts
* fix rebase error
* Revert "fix conv/matmul+gelu fusion uts"
This reverts commit 47eb5e49972bd8f7271a233def9bfb3e98ce78e1.
* upgrade to onednn v3.1
* remove older version onednn
* use densetensor::data() for achieving mean and var in layernorm impl
* comments for atol of integer tests
* fix clang-format
* Revert "remove older version onednn"
This reverts commit 783e57ddfd4401254596eae7d47adb9b03590c09.
* improve binary handle
* fix expand kernel
* Revert "use densetensor::data() for achieving mean and var in layernorm impl"
* always use forward_inference for conv
* remove activation scales
* rollback changes to mkldnn.cmake
* address comments
* port changes to dequantize kernel
* fix merge error
* fix fused_elementwise_kernel
* upgrade onednn version to v3.1.1
* fix some approval error
* fix error msg format
* remove old onednn libs
* try to fix symbolic link issue
* fix cinn test case segfault
* do not explicit link test with onednn
* remove unnecessary changes
* integrate CINN with onednn v3
* link with mkldnn project
* fix cinn build file

---------
Co-authored-by: NTomasz Socha <tomasz.socha@intel.com>
Co-authored-by: NChen, Xinyu1 <xinyu1.chen@intel.com>
Co-authored-by: Ntianshuo78520a <707759223@qq.com>

* [clang-tidy] enable readability-container-size-empty check

* fix test_custom_kernel Failed

* add clang-tid-10 in dockerfile

* add clang-tidy in dockerfile

* fix bug

* Add XPU plugin to support the customized ops or improve the performance of the fusion ops based on hand-written xpu micro kernels.

* refine README.md

[XPU] Fix the topk, set_value ops that using temporary tensors avoiding the memory overlaps during multi-stream inference (#54851)

* [CustomDevice] release device manager in py::atexit

* fix hip_version macro

* update

* update