* 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 rmsnorm kernel
* add static graph test
* fix round type
* use alignas to avoid msvc compile error
* remove redundant headerfile to avoid rocm compile error
* fix rocm compile not found cub
* Add document

* rename weight_only/llm.int8

* fix index_put bug when index is multi-dim bool tensor

* fix name error

* Fix bugs of dropout and dropout_grad. test=kunlun

* Modify the code style of dropout_grad_kernel. test=kunlun

* masked select forward support broadcast

* cpu forward and backward

* gpu support mask broadcast

* fix comment

* x support broadcast

* fix comment

* 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

* add lerp bf16 support

* fix bug

* Update test_lerp_op.py

modify the input dtype

* modify the test_lerp_op.py

* Update test_lerp_op.py

* fix bug of import

* add user_defined_grads

* Update test_lerp_op.py

* fix bug of grad

* fix bug of grad

* fix bug of grad

* add the check for bfloat16 dtype

* add linear_compress API

* fix_fetch_op_and_null_type_bug

* fix compile bug

* add test case

* Fix compiling on XPU related to MPTypeTrait.

* Unify the use of MPTypeTrait.

* Fix compiling error.

* style

* more

* update ctest

* Update legacy_backward.yaml

* Update legacy_ops.yaml

* Update legacy_ops.yaml

* update

* update

* update for move

* add int_with_ll to conv

* fix bugs when output_size is specified for conv2d_transpose

* add pos_weight in kernel

* fix unittest

* fix xpu

* fix bce unittest, change infermeta order

* [ROCM] fix cupti, hipcub

* update

* update

* delete swish_raw

* fix

* Update activation_kernel.cc

* fix

* add all_to_all phi operator, kernel, api

* add all_to_all ut

* tinyfix

* remove ops from OpsWithFluidKernelNeedMoveToPhi set

* open static build flag

* OpsWithFluidKernelNeedMoveToPhi

* open new_executor_static_build

* add infermate for cudnn_lstm

* fix

* update

* fix

* update

* update

* update

* fix pow2 decay

* fix pow2 decay

* recover analysis_predictor.cc

* fix pow2 decay

* fix cudnn lstm

* add output register info for svd

* fix pow2_decay_with_linear_warmup_kernel

* recover test lstm cudnn

* recover svg register codes

* fix register info

* fix reduce sum register info

* add output info for adadelta

* add output info for adadelta

* add output info for adamax

* fix complex abs register info

* add register info for cudnn_lstm_grad

* recover

* fix lstm cudnn

* fix

* fix xpu output registe info

* remove std::cout

* add backend

* remove output info in pow2_decay_with_linear_warmup_kernel

* add judgment in TensorShouldBeFakeInitialized

* recover power_

* close new_executor_static_build

* fix set_value_xpu

* add fetch kernel

* support fetch var in new ir

* fix bug

* polish code

* change array equal to np.testing

* static graph autogen code support for matmul op

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* fix bug

* add unique kernel for xpu

* add unique kernel for xpu

* update uniittest

* add xpu support for unique with axis