Philipp Moritz created ARROW-4452:
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Summary: [Python] Serializing sparse torch tensors
Key: ARROW-4452
URL: https://issues.apache.org/jira/browse/ARROW-4452
Project: Apache Arrow
Issue Type: Improvement
Reporter: Philipp Moritz
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]))
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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