You are viewing a plain text version of this content. The canonical link for it is here.

Posted to commits@beam.apache.org by "Younghee Kwon (JIRA)" <ji...@apache.org> on 2016/12/30 09:34:58 UTC

[jira] [Created] (BEAM-1233) Implement TFRecordIO (Reading/writing Tensorflow Standard format)

Younghee Kwon created BEAM-1233:
-----------------------------------

             Summary: Implement TFRecordIO (Reading/writing Tensorflow Standard format)
                 Key: BEAM-1233
                 URL: https://issues.apache.org/jira/browse/BEAM-1233
             Project: Beam
          Issue Type: New Feature
          Components: sdk-py
            Reporter: Younghee Kwon
            Assignee: Ahmet Altay


Tensorflow is an open source Machine Learning project, which is getting lots of attention these days. Apache Beam can be used as a good preprocessing tool for this Machine Learning tool, however Tensorflow supports limited number of input file formats -- only csv and its own record format (so called TFRecord).

On the other hand, Apache Beam doesn't support reading/writing in TFRecord format. This would be useful once it supports TFRecordIO natively.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)