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https://issues.apache.org/jira/browse/TIKA-2672?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16536809#comment-16536809
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ASF GitHub Bot commented on TIKA-2672:
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ThejanW commented on issue #241: Fix for TIKA-2672
URL: https://github.com/apache/tika/pull/241#issuecomment-403449343
oops! unit tests worked fine for me, we can safely exclude javacpp from
tika-dl, then I got a dependency convergence issue:
> Dependency convergence error for net.java.dev.jna:jna:4.1.0 paths to
dependency are:
+-org.apache.tika:tika-dl:2.0.0-SNAPSHOT
+-org.apache.tika:tika-parsers:2.0.0-SNAPSHOT
+-edu.ucar:netcdf4:4.5.5
+-net.java.dev.jna:jna:4.1.0
and
+-org.apache.tika:tika-dl:2.0.0-SNAPSHOT
+-org.deeplearning4j:deeplearning4j-nn:1.0.0-SNAPSHOT
+-com.github.oshi:oshi-core:3.4.2
+-net.java.dev.jna:jna-platform:4.3.0
+-net.java.dev.jna:jna:4.3.0
In my latest commit, I have excluded jna in edu.ucar dependencies of
tika-parsers and have added jna as a direct dependency. Any objections for
that? @chrismattmann @tballison, I built the entire Tika project, the build was
a success in my linux machine.
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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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