[jira] [Commented] (TIKA-2672) Upgrade dl4j to 1.0.0-beta

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[jira] [Commented] (TIKA-2672) Upgrade dl4j to 1.0.0-beta

JIRA jira@apache.org

    [ https://issues.apache.org/jira/browse/TIKA-2672?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16536503#comment-16536503 ]

ASF GitHub Bot commented on TIKA-2672:
--------------------------------------

chrismattmann commented on issue #241: Fix for TIKA-2672
URL: https://github.com/apache/tika/pull/241#issuecomment-403346420
 
 
   I'm unable to build this locally, @ThejanW. I keep getting:
   
   ```
   [ERROR] Failed to execute goal on project tika-dl: Could not resolve dependencies for project org.apache.tika:tika-dl:jar:2.0.0-SNAPSHOT: Could not find artifact org.bytedeco.javacpp-presets:openblas:jar:linux-x86:0.3.0-1.4.2-SNAPSHOT in oss-sonatype (https://oss.sonatype.org/content/repositories/snapshots/) -> [Help 1]
   [ERROR]
   [ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch.
   [ERROR] Re-run Maven using the -X switch to enable full debug logging.
   [ERROR]
   [ERROR] For more information about the errors and possible solutions, please read the following articles:
   [ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/DependencyResolutionException
   nonas:tika-dl mattmann$
   ```
   
   Any ideas @thammegowda or @agibsonccc?

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> Upgrade dl4j to 1.0.0-beta
> --------------------------
>
>                 Key: TIKA-2672
>                 URL: https://issues.apache.org/jira/browse/TIKA-2672
>             Project: Tika
>          Issue Type: Task
>            Reporter: Tim Allison
>            Priority: Major
>         Attachments: TIKA-2672.patch
>
>
> Let's try to upgrade dl4j.  I think I got us most of the way there, but I got this error when reading the json config file.  Can someone with more knowledge of layer specs help ([~thammegowda], perhaps :))?
> {noformat}
> org.deeplearning4j.exception.DL4JInvalidConfigException: Invalid configuration for layer (idx=-1, name=convolution2d_2, type=ConvolutionLayer) for width dimension:  Invalid input configuration for kernel width. Require 0 < kW <= inWidth + 2*padW; got (kW=3, inWidth=1, padW=0)
> Input type = InputTypeConvolutional(h=149,w=1,c=32), kernel = [3, 3], strides = [1, 1], padding = [0, 0], layer size (output channels) = 32, convolution mode = Truncate
> {noformat}



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