* add feed in op_compat.yaml

* remove input mapping

* add inplace interface

* support inplace

* refine code

* fix bug

* fix bug

* refien code

* add file

* add interface

* refine code

* refine code

* add phi kernel instruction

* refine code

* add test

* delete unuse code

* add test

* add test

* add deps

* delete unused code

* fix bug

* fix bug

* Update CUDNN Frontend API to v0.9.1
- Remove old patches
- Remove workarounds that are no longer needed

* Fix test_switch_autotune

* copy dense_tensor.h to inference lib

* update

* update

* add init value for CudaSwishFunctor

* add new phi kernel fusedBiasActKernel

* Support nvprof for auto parallel

* Fix CI errors

* Fix CI errors

* [prim]support fp16 for instance_norm and instance_norm_grad

* support fp16 and bfp16 dtype for instance_norm prim rules

* fix new ir test

---------
Co-authored-by: Ncxxly <chenxx_id@163.com>

* add phi operator c_concat and ut

* update create_var use

* update copyright

* new ir support builtin slice op

* fix phi kernel adaptor bug

* Move compare_raw_kernel to legacy

* fix

* Update compare_kernel.cc

* Move compare_raw_kernel to legacy

* [CINN] Schedule error message optimization

* format code style

* add test

* fix format

* using CINN_THROW and using flags

* optimize error msg

* do not use abtract class of error hanlder

* fix header

* new group fuse pass api

* fix header

* update

* change logic of get master node to fix bug

* revert update for ReduceFuseReduce

* modify according review

* modify by review

* refine

* update

* fix code-format

* add check of input tensors in Yaml

* fix bug of code-gen for opmaker

* fix bug

* [CINN] comb the op lowering code

* [CINN] format code of OpLower

* add matmul int8

* fix edit distance bug

* add op define kernel data type

* fix bug

* update

* add header

* add op test to cmake

* modify the accuracy checking framework of bf16 optest, including both of forward and backward

* [NewIR]Disable copy and assign for Operation

* add macros.h

* resolute input sharding conflict maybe

* fixed comment

---------
Co-authored-by: NYichen Zhang <zhangyichen03@baidu.com>
Co-authored-by: Nzhiqiu <chenqiuliang@baidu.com>

* fix new ir expand op

* fix count bug

* remove useless code

* rewrite identity_op_clean_pass

* fix

* adjust identity_op_clean_pass order in gpu passes

* fix ut

* add macro to avoid llm.int8 build error

* fix ci

---------
Co-authored-by: Nwufeisheng <wfs1997@163.com>

* [CustomDevice] fix release error for process_group_custom

* update

* refine program translator

* fix warning: not override

* fix bug

* merge new modifications

* modify by reviews

* resolve conflicts

* resolve conflicts

* fix

* fix

* update

* support selected rows

* update

* add selectrows

* fix bug

* add ut

* refine code

* refien code

* update

* update

* support selected rows

* support selected rows

* support dense tensor

* remove useless code

* polish code

* remote standalone executor test

---------
Co-authored-by: Nkangguangli <kangguangli@hotmail.com>
Co-authored-by: Nzhangbo9674 <zhangbo54@baidu.com>

* 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>