Say I have a numpy array
like A:
[[1, 0, 0],
[1, 0, 0],
[0, 0, 1]]
How can I transfer A as a sparse tensor B?
Say I have a numpy array
like A:
[[1, 0, 0],
[1, 0, 0],
[0, 0, 1]]
How can I transfer A as a sparse tensor B?
Thank you for replying. But the sparse tensor is in COO format which means I need to know coordinates and values to create one. But the situation here is that I want to get B from A directly. Is there a way for doing this?
torch.from_numpy(A).to_sparse()
It would work if your PyTorch version >= 1.0.0
Right, I realize this is a stupid question. Thanks.