Comments (4)
This does not occur with the dgl variant.
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Interesting. I tested the following locally, and it worked fine. Could you clarify what you mean by "This does not occur with the dgl variant."?
from ogb.graphproppred import DglGraphPropPredDataset
d_name = 'ogbg-molchembl'
dataset = DglGraphPropPredDataset(name = d_name)
from ogb.
Ah I mean the Dgl variant works, and it's the pure python dataset which fails to save the pickle file. I think the further processing to Dgl datastructure reduces size of the pickle enough.
Edited root comment to reflect it's GraphPropPredDataset
that fails.
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You are right, thanks for noticing this. I have resolved the issue in the master branch by using protocol = 4
in torch.save()
.
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Related Issues (20)
- EOFError: Ran out of input HOT 1
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