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Commit be696d2c authored by rusty1s's avatar rusty1s
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typo

parent 3eb4a596
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torch_geometric_autoscale/utils.py
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...@@ -66,7 +66,7 @@ def dropout(adj_t: SparseTensor, p: float, training: bool = True): ...@@ -66,7 +66,7 @@ def dropout(adj_t: SparseTensor, p: float, training: bool = True):
value = F.dropout(adj_t.storage.value(), p=p) value = F.dropout(adj_t.storage.value(), p=p)
adj_t = adj_t.set_value(value, layout='coo') adj_t = adj_t.set_value(value, layout='coo')
else: else:
mask = torch.rand(adj_t.nnz(), device=adj_t.storage().row.device) > p mask = torch.rand(adj_t.nnz(), device=adj_t.storage.row().device) > p
adj_t = adj_t.masked_select_nnz(mask, layout='coo') adj_t = adj_t.masked_select_nnz(mask, layout='coo')
return adj_t return adj_t
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