Summary: Since version 1.6, oneDNN has provided limited support for AArch64 builds. This minor change is to detect an AArch64 CPU and permit the use of `USE_MKLDNN` in that case. Build flags for oneDNN are also modified accordingly. Note: oneDNN on AArch64, by default, will use oneDNN's reference C++ kernels. These are not optimised for AArch64, but oneDNN v1.7 onwards provides support for a limited set of primitives based Arm Compute Library. See: https://github.com/oneapi-src/oneDNN/pull/795 and: https://github.com/oneapi-src/oneDNN/pull/820 for more details. Support for ACL-based oneDNN primitives in PyTorch will require some further modification, Fixes #{issue number} Pull Request resolved: https://github.com/pytorch/pytorch/pull/50400 Reviewed By: izdeby Differential Revision: D25886589 Pulled By: malfet fbshipit-source-id: 2c81277a28ad4528c2d2211381e7c6692d952bc1 |
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|---|---|---|
| .. | ||
| FindARM.cmake | ||
| FindAtlas.cmake | ||
| FindAVX.cmake | ||
| FindBenchmark.cmake | ||
| FindBLAS.cmake | ||
| FindCUB.cmake | ||
| FindFFmpeg.cmake | ||
| FindGloo.cmake | ||
| FindHiredis.cmake | ||
| FindLAPACK.cmake | ||
| FindLevelDB.cmake | ||
| FindLMDB.cmake | ||
| FindMAGMA.cmake | ||
| FindMatlabMex.cmake | ||
| FindMKL.cmake | ||
| FindMKLDNN.cmake | ||
| FindNCCL.cmake | ||
| FindNuma.cmake | ||
| FindNumPy.cmake | ||
| FindOpenBLAS.cmake | ||
| FindOpenMP.cmake | ||
| Findpybind11.cmake | ||
| FindRocksDB.cmake | ||
| FindSnappy.cmake | ||
| FindvecLib.cmake | ||
| FindVSX.cmake | ||
| FindZMQ.cmake | ||
| README.md | ||
This folder contains various custom cmake modules for finding libraries and packages. Details about some of them are listed below.
FindOpenMP.cmake
This is modified from the file included in CMake 3.13 release, with the following changes:
-
Replace
VERSION_GREATER_EQUALwithNOT ... VERSION_LESSasVERSION_GREATER_EQUALis not supported in CMake 3.5 (our min supported version). -
Update the
separate_argumentscommands to not useNATIVE_COMMANDwhich is not supported in CMake 3.5 (our min supported version). -
Make it respect the
QUIETflag so that, when it is set,try_compilefailures are not reported. -
For
AppleClangcompilers, use-Xpreprocessorinstead of-Xclangas the later is not documented. -
For
AppleClangcompilers, an extra flag option is tried, which is-Xpreprocessor -openmp -I${DIR_OF_omp_h}, where${DIR_OF_omp_h}is a obtained usingfind_pathonomp.hwithbrew's default include directory as a hint. Without this, the compiler will complain about missing headers as they are not natively included in Apple's LLVM. -
For non-GNU compilers, whenever we try a candidate OpenMP flag, first try it with directly linking MKL's
libompif it has one. Otherwise, we may end up linking twolibomps and end up with this nasty error:OMP: Error #15: Initializing libomp.dylib, but found libiomp5.dylib already initialized. OMP: Hint This means that multiple copies of the OpenMP runtime have been linked into the program. That is dangerous, since it can degrade performance or cause incorrect results. The best thing to do is to ensure that only a single OpenMP runtime is linked into the process, e.g. by avoiding static linking of the OpenMP runtime in any library. As an unsafe, unsupported, undocumented workaround you can set the environment variable KMP_DUPLICATE_LIB_OK=TRUE to allow the program to continue to execute, but that may cause crashes or silently produce incorrect results. For more information, please see http://openmp.llvm.org/See NOTE [ Linking both MKL and OpenMP ] for details.