title: Sparse tensors to decrease training time
body: <p>I've learning about PyTorch sparse tensors : <a href="https://pytorch.org/docs/stable/sparse.html" rel="nofollow noreferrer">https://pytorch.org/docs/stable/sparse.html</a></p>
  
  <p>From the docs (<a href="https://pytorch.org/docs/stable/sparse.html" rel="nofollow noreferrer">https://pytorch.org/docs/stable/sparse.html</a>) : "Torch supports sparse tensors in COO(rdinate) format, which can efficiently store and process tensors for which the majority of elements are zeros."</p>
  
  <p>Is one of the intended use of sparse tensors instead of regular PyTorch tensors to decrease training time ?</p>