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Hey,
I'm trying to implement a custom attention mechanism. Is there a function or a efficient way to implement a bilinear mapping in pytorch_sparse?
pytorch_sparse
The text was updated successfully, but these errors were encountered:
Can you clarify what you wan to do exactly?
Sorry, something went wrong.
I wanted to try to do the same as in the pytorch bilinear module, when A is a sparse matrix.
A
As far as I understand pytorch_sparse works on 2d tensors so might not be relevant exactly. I might need to think this one over a bit.
torch-sparse can handle more than 2 dimensions (but only the first two can be sparse). Would that be sufficient in your case?
torch-sparse
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Hey,
I'm trying to implement a custom attention mechanism.
Is there a function or a efficient way to implement a bilinear mapping in
pytorch_sparse
?The text was updated successfully, but these errors were encountered: