What are the requirements for Deeplearning4j? I followed the instructions on the wiki (https://wiki.apache.org/tika/TikaAndVisionDL4J).
I have a JVM with Tika Server and tika-dl-1.17-SNAPSHOT-jar-with-dependencies.jar. When it runs I get the following error: tika_1 | # A fatal error has been detected by the Java Runtime Environment: tika_1 | # tika_1 | # SIGSEGV (0xb) at pc=0x00007f184b4097d6, pid=1, tid=0x00007f186c911ae8 tika_1 | # tika_1 | # JRE version: OpenJDK Runtime Environment (8.0_131-b11) (build 1.8.0_131-b11) tika_1 | # Java VM: OpenJDK 64-Bit Server VM (25.131-b11 mixed mode linux-amd64 compressed oops) tika_1 | # Derivative: IcedTea 3.4.0 tika_1 | # Distribution: Custom build (Fri Jun 16 13:41:54 GMT 2017) tika_1 | # Problematic frame: tika_1 | # C [libgomp.so.1+0x67d6] omp_set_num_threads+0x26 The error comes from: this.graph = KerasModelImport.importKerasModelAndWeights(modelJsonPath, modelWeightsPath, false); The core dump mentions org.deeplearning4j.nn.modelimport.keras.Hdf5Archive.readDataSet, org.nd4j.linalg.factory.Nd4j, org.nd4j.nativeblas.Nd4jCpu$NativeOps Are there some more prerequisites other than the 2 jars? Thanks.
