# torchvision-0.9.1-cp36m-manylinux2014-aarch64下载
m>torchvision m>m>0.9.1 m>m>cp m>m>36 m>m manylinux2014aarch64.whl资源下载
本站提供torchvision-0.9.1-cp36m-manylinux2014_aarch64.whl资源的下载链接及详细信
torch1.8.0m>cp m>m>36 m>m>cp m>m>36 m>m manylinux2014_aarch64.whl
torch-1.8.0-cp36-cp36m-manylinux2014_aarch64.whl
armm>64 m>位pythonm>36 m>numpy1.19.5m>cp m>m>36 m>m>cp m>m>36 m>m manylinux2014_aarchm>64 m>.whl
arm 64位 python36 numpy-1.19.5-cp36-cp36m-manylinux2014_aarch64.w
torchvision0.3.0cp36cp36mlinux_aarch64.whl
网上pytorch基于arm版的whl还真的不是太好找，特别是基于python3.6版本编译的，与其搭配的pytorch-1.1
torchvision0.4.2cp36cp36mlinux_aarch64.whl
网上大多数torchvision轮子包都是基于python3.7的，奈何我的环境是python3.6的不想安装3.7索性就自己编
m>torchvision m>0.4.0m>cp m>m>36 m>m>cp m>m>36 m>m manylinux1x8664.whl
本地wheel文件用法pip3install.whl
torch1.7.0m>cp m>m>36 m>m>cp m>m>36 m>m linux_aarch64
pyTorch v1.7.0 JetPack 4.4 (L4T R32.4.3) / JetPack 4.4.1 (L4T R3
mxnet_1.4.0_m>cp m>m>36 m>_m>cp m>m>36 m>m_linux_aarch64.whl
jetson系列的mxnetgpu版本预编译版本1.4.0安装方式pipinstallmxnet-1.4.0-cp36-cp36