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
![python - Tensorflow: Cuda compute capability 3.0. The minimum required Cuda capability is 3.5 - Stack Overflow python - Tensorflow: Cuda compute capability 3.0. The minimum required Cuda capability is 3.5 - Stack Overflow](https://i.stack.imgur.com/k2UVC.png)
python - Tensorflow: Cuda compute capability 3.0. The minimum required Cuda capability is 3.5 - Stack Overflow
![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?auto=webp&s=9581e06ab6cea33188c3d931040ce6feadebd6ea)
PyTorch 1.8.1 Conda Package for Linux, Cuda 10.1, Cuda Compute Capability 3.0 (old GPU's) : r/deeplearning
![python - GPU Compute Capability 3.0 but the minimum required Cuda capability is 3.5 - Stack Overflow python - GPU Compute Capability 3.0 but the minimum required Cuda capability is 3.5 - Stack Overflow](https://i.stack.imgur.com/Ivf7O.png)
python - GPU Compute Capability 3.0 but the minimum required Cuda capability is 3.5 - Stack Overflow
![Meshroom 2019.2.0 for linux requires Cuda 3.0 not 2.0 !!! · Issue #734 · alicevision/meshroom · GitHub Meshroom 2019.2.0 for linux requires Cuda 3.0 not 2.0 !!! · Issue #734 · alicevision/meshroom · GitHub](https://user-images.githubusercontent.com/9040042/70840956-ef3fa800-1e1e-11ea-8566-3e3a74801df6.png)