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https://issues.apache.org/jira/browse/ARROW-6222?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16906156#comment-16906156
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Joris Van den Bossche commented on ARROW-6222:
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Can you try to make a reproducible example? Can you show the shape, dtype and
{{type(..)}} if {{df}} and {{t.numpy()}} ?
> Serialising numpy array yields `pyarrow.lib.ArrowNotImplementedError:
> list<item: float>`
> ----------------------------------------------------------------------------------------
>
> Key: ARROW-6222
> URL: https://issues.apache.org/jira/browse/ARROW-6222
> Project: Apache Arrow
> Issue Type: Bug
> Affects Versions: 0.14.1
> Reporter: Marcel Ackermann
> Priority: Major
>
> I want to serialize pytorch tensors, but as they are not implemented in arrow
> yet I convert them to a numpy array like this: {{t.numpy()}}
> ([https://pytorch.org/docs/stable/tensors.html?highlight=numpy#torch.Tensor.numpy)]
> which returns an {{ndarray{{. My tensors are 1-dimensional, the result is a
> 1-dimensional ndarray.
> Calling {{df.to_feather("fname.feather")}} yields
> {{pyarrow.lib.ArrowNotImplementedError: list<item: float>}}.
> Next I tried {{pyarrow.array(t.numpy())}} which results in
> {{pyarrow.lib.ArrowInvalid: ('Could not convert [\n 0.00500498,\n
> -0.00732583,\n... with type pyarrow.lib.FloatArray: did not recognize Python
> value type when inferring an Arrow data type', 'Conversion failed for column
> 0 with type object')}}.
> I would appreciate if this would work more out-of-the-box.
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