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

classic Classic list List threaded Threaded
1 message Options
Reply | Threaded
Open this post in threaded view
|

[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=16537288#comment-16537288 ]

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-403553860
 
 
   Now I'll try Inception.

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
[hidden email]


> 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}



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)