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https://issues.apache.org/jira/browse/ARROW-1701?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16213433#comment-16213433
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ASF GitHub Bot commented on ARROW-1701:
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GitHub user pcmoritz opened a pull request:
https://github.com/apache/arrow/pull/1223
ARROW-1701: [Serialization] Support zero copy PyTorch Tensor serialization
This also restructures the code such that it is easier to reset the default
serialization context back to the initial state after more handlers have been
registered.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/pcmoritz/arrow torch-tensor
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/arrow/pull/1223.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #1223
----
commit 375bbfa515bd62dd61234ebec256e02f08d8901a
Author: Philipp Moritz <[email protected]>
Date: 2017-10-17T23:20:47Z
support serializing torch tensors
commit 9814897f0bf4521a708cb8c7a58ffae2739870e0
Author: Philipp Moritz <[email protected]>
Date: 2017-10-18T03:38:27Z
test torch tensor conversion
commit 23de67b6876e5fb6194db68df88052e009d24d36
Author: Philipp Moritz <[email protected]>
Date: 2017-10-18T03:54:21Z
add -y to torch installation
commit c6dac9e67dc77369fc8867a7d2942735fe234aef
Author: Philipp Moritz <[email protected]>
Date: 2017-10-18T04:37:28Z
add -q flag
commit 882d9a56e2f2ecce94cb028bd62fea8a0da23648
Author: Philipp Moritz <[email protected]>
Date: 2017-10-20T22:40:43Z
small restructuring and support all PyTorch tensor types
----
> [Serialization] Support zero copy PyTorch Tensor serialization
> --------------------------------------------------------------
>
> Key: ARROW-1701
> URL: https://issues.apache.org/jira/browse/ARROW-1701
> Project: Apache Arrow
> Issue Type: Improvement
> Reporter: Philipp Moritz
> Labels: pull-request-available
>
> see http://pytorch.org/docs/master/tensors.html
> This should be optional and only included if the user has PyTorch installed.
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