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Fix for RuntimeError on torch tensor indexing #3

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Fix for RuntimeError on torch tensor indexing #3

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2 changes: 1 addition & 1 deletion pytorch_neat/recurrent_net.py
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Original file line number Diff line number Diff line change
Expand Up @@ -33,7 +33,7 @@ def dense_from_coo(shape, conns, dtype=torch.float64):
idxs, weights = conns
if len(idxs) == 0:
return mat
rows, cols = np.array(idxs).transpose()
rows, cols = np.array(idxs, dtype=np.int64).transpose()
mat[torch.tensor(rows), torch.tensor(cols)] = torch.tensor(
weights, dtype=dtype)
return mat
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