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Posted to dev@tika.apache.org by "Tim Allison (JIRA)" <ji...@apache.org> on 2018/07/06 15:31:00 UTC

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

    [ https://issues.apache.org/jira/browse/TIKA-2672?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16534994#comment-16534994 ] 

Tim Allison edited comment on TIKA-2672 at 7/6/18 3:30 PM:
-----------------------------------------------------------

Fantastic!  Thank you [~ThejanWijesinghe]! And, y, I spent some time tweaking some of the parameters, but with no luck.  I think we need expert help. :)


was (Author: tallison@mitre.org):
Fantastic!  Thank you [~ThejanWijesinghe]! 

> 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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