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https://issues.apache.org/jira/browse/ARROW-4452?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17661474#comment-17661474
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Rok Mihevc commented on ARROW-4452:
-----------------------------------
This issue has been migrated to [issue
#21010|https://github.com/apache/arrow/issues/21010] on GitHub. Please see the
[migration documentation|https://github.com/apache/arrow/issues/14542] for
further details.
> [Python] Serializing sparse torch tensors
> -----------------------------------------
>
> Key: ARROW-4452
> URL: https://issues.apache.org/jira/browse/ARROW-4452
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Python
> Reporter: Philipp Moritz
> Assignee: Philipp Moritz
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.14.0
>
> Time Spent: 1h 20m
> Remaining Estimate: 0h
>
> Using the pytorch serialization handler on sparse Tensors:
> {code:java}
> import torch
> i = torch.LongTensor([[0, 2], [1, 0], [1, 2]])
> v = torch.FloatTensor([3, 4, 5 ])
> tensor = torch.sparse.FloatTensor(i.t(), v, torch.Size([2,3]))
> pyarrow.serialization.register_torch_serialization_handlers(pyarrow.serialization._default_serialization_context)
> s = pyarrow.serialize(tensor,
> context=pyarrow.serialization._default_serialization_context) {code}
> Produces this result:
> {code:java}
> TypeError: can't convert sparse tensor to numpy. Use Tensor.to_dense() to
> convert to a dense tensor first.{code}
> We should provide a way to serialize sparse torch tensors, especially now
> that we are getting support for sparse Tensors.
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