You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@beam.apache.org by "Ankur Goenka (Jira)" <ji...@apache.org> on 2020/01/08 00:51:00 UTC

[jira] [Commented] (BEAM-5156) Apache Beam on dataflow runner can't find Tensorflow for workers

    [ https://issues.apache.org/jira/browse/BEAM-5156?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17010220#comment-17010220 ] 

Ankur Goenka commented on BEAM-5156:
------------------------------------

We have moved to an unbounded thread factory and this issue does not require any additional arguments to be passed.

> Apache Beam on dataflow runner can't find Tensorflow for workers
> ----------------------------------------------------------------
>
>                 Key: BEAM-5156
>                 URL: https://issues.apache.org/jira/browse/BEAM-5156
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py-core
>         Environment: google cloud compute instance running linux
>            Reporter: Thomas Johns
>            Assignee: Ankur Goenka
>            Priority: Major
>              Labels: triaged
>             Fix For: 2.5.0, 2.6.0
>
>
> Adding serialized tensorflow model to apache beam pipeline with python sdk but it can not find any version of tensorflow when applied to dataflow runner although it is not a problem locally. Tried various versions of tensorflow from 1.6 to 1.10. I thought it might be a conflicting package some where so I removed all other packages and tried to just install tensorflow and same problem.
> Could not find a version that satisfies the requirement tensorflow==1.6.0 (from -r reqtest.txt (line 59)) (from versions: )No matching distribution found for tensorflow==1.6.0 (from -r reqtest.txt (line 59))



--
This message was sent by Atlassian Jira
(v8.3.4#803005)