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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-403550168 fixed thanks amigo! ``` [INFO] [INFO] ------------------------------------------------------------------------ [INFO] Building Apache Tika 2.0.0-SNAPSHOT [INFO] ------------------------------------------------------------------------ [INFO] [INFO] --- maven-clean-plugin:2.5:clean (default-clean) @ tika --- [INFO] Deleting /Users/mattmann/tmp/tika2.0.0/target [INFO] [INFO] --- maven-enforcer-plugin:3.0.0-M1:enforce (enforce) @ tika --- [INFO] [INFO] --- maven-remote-resources-plugin:1.5:process (default) @ tika --- [INFO] [INFO] --- maven-site-plugin:3.4:attach-descriptor (attach-descriptor) @ tika --- [INFO] [INFO] --- forbiddenapis:2.5:check (default) @ tika --- [INFO] Skipping execution for packaging "pom" [INFO] [INFO] --- forbiddenapis:2.5:testCheck (default) @ tika --- [INFO] Skipping execution for packaging "pom" [INFO] [INFO] --- maven-install-plugin:2.5.2:install (default-install) @ tika --- [INFO] Installing /Users/mattmann/tmp/tika2.0.0/pom.xml to /Users/mattmann/.m2/repository/org/apache/tika/tika/2.0.0-SNAPSHOT/tika-2.0.0-SNAPSHOT.pom [INFO] ------------------------------------------------------------------------ [INFO] Reactor Summary: [INFO] [INFO] Apache Tika parent ................................. SUCCESS [ 1.716 s] [INFO] Apache Tika core ................................... SUCCESS [ 35.099 s] [INFO] Apache Tika parsers ................................ SUCCESS [05:19 min] [INFO] Apache Tika XMP .................................... SUCCESS [ 1.894 s] [INFO] Apache Tika serialization .......................... SUCCESS [ 1.723 s] [INFO] Apache Tika batch .................................. SUCCESS [02:11 min] [INFO] Apache Tika language detection ..................... SUCCESS [ 3.235 s] [INFO] Apache Tika application ............................ SUCCESS [01:07 min] [INFO] Apache Tika OSGi bundle ............................ SUCCESS [ 30.278 s] [INFO] Apache Tika translate .............................. SUCCESS [ 3.081 s] [INFO] Apache Tika server ................................. SUCCESS [ 24.401 s] [INFO] Apache Tika examples ............................... SUCCESS [ 12.374 s] [INFO] Apache Tika Java-7 Components ...................... SUCCESS [ 2.331 s] [INFO] Apache Tika eval ................................... SUCCESS [ 28.734 s] [INFO] Apache Tika Deep Learning (powered by DL4J) ........ SUCCESS [04:21 min] [INFO] Apache Tika Natural Language Processing ............ SUCCESS [ 26.923 s] [INFO] Apache Tika ........................................ SUCCESS [ 0.021 s] [INFO] ------------------------------------------------------------------------ [INFO] BUILD SUCCESS [INFO] ------------------------------------------------------------------------ [INFO] Total time: 15:53 min [INFO] Finished at: 2018-07-09T10:03:37-07:00 [INFO] Final Memory: 210M/1749M [INFO] ------------------------------------------------------------------------ nonas:tika2.0.0 mattmann$ ``` I'm going to test it and if it looks good I'll go ahead and commit shortly. ---------------------------------------------------------------- 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: us...@infra.apache.org > 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)