3 ms·

there are no (.. common) reasons to build it yourself, just pip install it

• wdroz 7y ago
  You may need to build it yourself if the computer that you use has an older CUDA version that you can't modify. That what I like with Pytorch, they offer prebuilt packages for different versions of CUDA.
  • deleted 7y ago
    [deleted]
  • danieldk 7y ago
    Or when they accidentally increased the minimum supported compute capability. https://github.com/tensorflow/tensorflow/issues/25329 https://github.com/tensorflow/tensorflow/issues/25329