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Release https://github.com/arm-software/ComputeLibrary Development https://review.mlplatform.org/#/admin/projects/ml/ComputeLibrary Documentation Note: The documentation includes the reference API, changelogs, build guide, contribution guide, errata, etc. Pre-built binaries All the binaries can be ...
1.下载 https://github.com/ARM-software/ComputeLibrary 2.由于我交叉编译器已经加入环境变量,修改SConstruct文件下 3.编译 opencl一起编译进去 embed_kernels=1 scons Werror=0debug=0asserts=1neon=1opencl=1embed_kernels=1os=linux arch=armv7a 如果只用到neon加速 scons Werror=0debug=0asserts=0neon=1o...
Build for Android: https://arm-software.github.io/ComputeLibrary/v19.11.1/index.xhtml#S3_3_android 相关问题:How to use the Binaries release (android version) ? #434 In order to use the compute library on Android there are few steps to follow to make everything working. Before starting to...
Arm Compute Library is a collection of low-level functions optimized for Arm CPU and GPU architectures targeted at image processing, computer vision, and machine learning. It is available free of charge under a permissive MIT open source license.
Compute Library:github.com/ARM-software 11.3 CMSIS 通用微控制器软件接口标准 (CMSIS):CMSIS 能够为处理器及其外设提供一致的设备支持和简单的软件接口,从而简化软件重用、缩短微控制器开发人员的学习曲线,并缩短新设备的上市时间。CMSIS:CMSIS CMSIS:Introduction ...
使用位于docker/install/ubuntu_download_arm_compute_lib_binaries.sh的脚本,为target_lib指定的架构和扩展下载 ACL二进制文件,它们将安装到install_path表示的位置。 或从https://github.com/ARM-software/ComputeLibrary/releases下载预构建的二进制文件。 使用此包时,要为所需的架构和扩展选择二进制文件,并确保它们...
Tensorflow下可以通过OneDNN + ACL(Arm Compute Library)来使用 BFMMLA 加速。 Pytorch 已经支持了 OneDNN + ACL,但是目前还在试验状态,无法很好地发挥性能。但是 Pytorch 同时支持 OpenBLAS 作为其计算后端,因此可以通过 OpenBLAS 来享受 ARM bf16 扩展带来的性能收益。
Tensorflow下可以通过OneDNN + ACL(Arm Compute Library)来使用 BFMMLA 加速。 Pytorch 已经支持了 OneDNN + ACL,但是目前还在试验状态,无法很好地发挥性能。但是 Pytorch 同时支持 OpenBLAS 作为其计算后端,因此可以通过 OpenBLAS 来享受 ARM bf16 扩展带来的性能收益。
# git clone https://github.com/ARM-software/ComputeLibrary.git# scons arch=armv8.6-a-sve debug=0 neon=1 os=linux opencl=0 build=native -j 32 Werror=falsevalidation_tests=0 multi_isa=1 openmp=1 cppthreads=0 fixed_format_kernels=1# export ACL_ROOT_DIR=/path_to_ACL/ComputeLibrary ...