![unbuntu下安装cuda+cudnn(ubuntu18.04+NVIDIA-440+CUDA10.2+cuDNN7.6) - wangxuwei的个人空间 - OSCHINA - 中文开源技术交流社区 unbuntu下安装cuda+cudnn(ubuntu18.04+NVIDIA-440+CUDA10.2+cuDNN7.6) - wangxuwei的个人空间 - OSCHINA - 中文开源技术交流社区](https://oscimg.oschina.net/oscnet/up-14900316f11b53922d0627a225b71826ee2.png)
unbuntu下安装cuda+cudnn(ubuntu18.04+NVIDIA-440+CUDA10.2+cuDNN7.6) - wangxuwei的个人空间 - OSCHINA - 中文开源技术交流社区
![PyTorch 1.8.1 Conda Package for Linux, Cuda 10.1, Cuda Compute Capability 3.0 (old GPU's) : r/deeplearning PyTorch 1.8.1 Conda Package for Linux, Cuda 10.1, Cuda Compute Capability 3.0 (old GPU's) : r/deeplearning](https://external-preview.redd.it/su0TSDDvAKtLn20RAlbkcuooGtonDxbUhVeB70mQl6o.jpg?width=640&crop=smart&auto=webp&s=f850c79cfae6398c38cbf94eebd20a7614c66b95)
PyTorch 1.8.1 Conda Package for Linux, Cuda 10.1, Cuda Compute Capability 3.0 (old GPU's) : r/deeplearning
Ignoring visible gpu device (device: 0, name: GeForce GTX 780M compute capability: 3.0) with Cuda compute capability 3.0. The minimum required Cuda capability is 3.5. · Issue #46653 · tensorflow/tensorflow · GitHub
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