<h2 dir="auto"><g-emoji class="g-emoji" alias="question" fallback-src="https://github.githubassets.com/images/icons/emoji/unicode/2753.png">❓</g-emoji> Questions and Help</h2>
<h3 dir="auto">Please note that this issue tracker is not a help form and this issue will be closed.</h3>
<p dir="auto">We have a set of <a href="https://pytorch.org/resources" rel="nofollow">listed resources available on the website</a>. Our primary means of support is our discussion forum:</p>
<ul dir="auto">
<li><a href="https://discuss.pytorch.org/" rel="nofollow">Discussion Forum</a></li>
</ul>
<p dir="auto"><a href="https://pytorch.org/docs/stable/torch.html?highlight=sparse_coo_tensor#torch.sparse_coo_tensor" rel="nofollow">https://pytorch.org/docs/stable/torch.html?highlight=sparse_coo_tensor#torch.sparse_coo_tensor</a> doesn't mention it and doesn't have examples.</p>
<p dir="auto">SciPy mentions (<a href="https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.coo_matrix.html" rel="nofollow">https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.coo_matrix.html</a>) that the corresponding values are to be summed.</p>
<p dir="auto">Would be useful for new users of PyTorch sparse package (like myself).</p>