5a6ddbcc3b
**Motivation:** In Pytorch, Aten vectorization supports multiple platforms, including x86 and Arm, as well as multiple data types. It provides a generic implementation of Vector (Vec) type that allows the programmer to write code packing various primitives (such as floats) within 256bit & 512bits registers. It can be extended to support other ISAs easily by adding more VecISA sub-classes. **Reference Link:** https://github.com/pytorch/pytorch/tree/main/aten/src/ATen/cpu/vec **This PR:** * Our goal with this contribution is to add support for SVE backend for Vec in the Aten vectorization for CPU backend which can be benefitted by any ARM architecture supported CPU's that supports SVE. * More about SVE ISA for ARM: [https://developer.arm.com/Architectures/Scalable Vector Extensions](https://developer.arm.com/Architectures/Scalable%20Vector%20Extensions) * We are using the ARM C Language Extensions for SVE (https://developer.arm.com/documentation/102699/0100/Optimizing-with-intrinsics ) to accelerate performance for various operators in the SVE backend for Vec. * Currently we are adding support only for SVE ISA with the vector length of 256 bits (SVE 256). In future, we plan to extend this SVE support for other vector lengths as well. Pull Request resolved: https://github.com/pytorch/pytorch/pull/119571 Approved by: https://github.com/malfet, https://github.com/snadampal Co-authored-by: Divya Kotadiya <divya.kotadiya@fujitsu.com> |
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| .. | ||
| FindARM.cmake | ||
| FindAtlas.cmake | ||
| FindAVX.cmake | ||
| FindBenchmark.cmake | ||
| FindBLAS.cmake | ||
| FindBLIS.cmake | ||
| FindCUB.cmake | ||
| FindCUDAToolkit.cmake | ||
| FindCUDSS.cmake | ||
| FindCUSPARSELT.cmake | ||
| FindFlexiBLAS.cmake | ||
| FindGloo.cmake | ||
| FindITT.cmake | ||
| FindLAPACK.cmake | ||
| FindMAGMA.cmake | ||
| FindMKL.cmake | ||
| FindMKLDNN.cmake | ||
| FindNCCL.cmake | ||
| FindNuma.cmake | ||
| FindOpenBLAS.cmake | ||
| FindOpenMP.cmake | ||
| FindOpenTelemetryApi.cmake | ||
| Findpybind11.cmake | ||
| FindSanitizer.cmake | ||
| FindSYCLToolkit.cmake | ||
| FindvecLib.cmake | ||
| FindVSX.cmake | ||
| FindZVECTOR.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.