# torch-1.9.0a0torchvision-0.10.0-cp36m
m>torch m>1.x.m>0 m>m>cp m>m>36 m>m>cp m>m>36 m>m linux_aarch64.rar
TX2安装pytorch的whl文件,有三个版本,1.4/1.5/1.6,基于python3版本的。
tensorflow_gpu_m>1.9.m>0 m> m>rcm>0 m>_m>cp m>m>36 m>_m>cp m>m>36 m>m_win_amd64.whl
原创最新源码(2018-07-04)编译：Tensorflow-1.9-gpu. whl win10+cuda9.0+cudnn
torch1.2.0cp36cp36mwin_amd64.whl torchvision0.4.0cp36cp36mwin_amd64.whl
win10系统，python3.6，CUDA10.0
包含
torch-1.2.0-cp36-cp36m-win_amd64
m>torch m>1.7.0m>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
m>torch m>0.4.1m>cp m>m>36 m>m>cp m>m>36 m>m win_amd642
windows64 的pytorch0.4.1 cuda版本 windows可用windows可用windows可用window
m>torch m>_m>cp m>m>36 m>m>cp m>m>36 m>m win_amd64.zip
torch-0.4.1-cp36-cp36m-win_amd64.whl,torch-1.0.1-cp36-cp36m-win_
m>torchvision m>0.8.0m>cp m>m>36 m>m>cp m>m>36 m>m win_amd64.whl
torchvision-0.8.0-cp36-cp36m-win_amd64.whl
m>torchvision m>0.6.1m>cp m>m>36 m>m>cp m>m>36 m>m win_amd64.whl
torchvision-0.6.1-cp36-cp36m-win_amd64.whl
m>torchvision m>0.4.0m>cp m>m>36 m>m>cp m>m>36 m>m win_amd64.whl
torchvision-0.4.0-cp36-cp36m-win_amd64.whl
m>torchvision m>0.7.0m>cp m>m>36 m>m>cp m>m>36 m>m win_amd64.whl
torchvision-0.7.0-cp36-cp36m-win_amd64.whl torchvision for pytho