More test fixes

.docker/Dockerfile

@@ -11,3 +11,5 @@ RUN wget -nv https://github.com/Kitware/CMake/releases/download/v3.24.2/cmake-3.
     rm cmake-3.24.2-linux-x86_64.sh
 
 
+RUN echo "nameserver 8.8.8.8" >> /etc/resolv.conf
+

build.gradle

@@ -44,7 +44,6 @@ ext {
 
     scalaVersion = "2.12"
     logger.quiet("Scala main version is set to {}", scalaVersion)
-    logger.quiet("Running java {}", JavaVersion.current())
 }
 
 configurations.all {
@@ -56,7 +55,6 @@ configurations.all {
 }
 
 
-
 allprojects { Project proj ->
     apply plugin: 'com.google.osdetector'
 
@@ -65,8 +63,8 @@ allprojects { Project proj ->
 
 
     plugins.withType(JavaPlugin) {
-         sourceCompatibility = JavaVersion.VERSION_11
+         sourceCompatibility = 11
-         targetCompatibility = JavaVersion.VERSION_1_8
+         targetCompatibility = 1.8
         tasks.withType(JavaCompile) {
             options.release = 8
         }
@@ -163,21 +161,3 @@ allprojects { Project proj ->
         }
      }
 }
-
-
-task aggregatedJavadocs(type: Javadoc, description: 'Generate javadocs from all child projects as if it was a single project', group: 'Documentation') {
-    subprojects.each { proj ->
-        proj.tasks.withType(Javadoc).each { javadocTask ->
-            logger.quiet("Adding javadoc for project " + proj.name)
-            source += javadocTask.source
-            classpath += javadocTask.classpath
-            excludes += javadocTask.excludes
-            includes += javadocTask.includes
-        }
-    }
-    destinationDir = file("$buildDir/docs/javadoc")
-    title = "$project.name $version API"
-    options.author true
-    options.links 'http://docs.oracle.com/javase/8/docs/api/'
-    options.addStringOption('Xdoclint:none', '-quiet')
-}

build_requirements.md

@@ -130,19 +130,3 @@ echo "nameserver 8.8.8.8" | sudo tee -a /etc/resolv.conf
 
  -P\<xxx>\
  CAVIS_AVX_EXTENSION = {avx2 | avx512}, default is avx2
- 
-# Zeppelin Spark dependencies #
-3
-
-
-To add the dependency to the language models, use the following format in the Dependencies section of the of the Spark Interpreter configuration (Interpreters -> Spark -> Edit -> Dependencies):
-
-groupId:artifactId:packaging:classifier:version
-
-In your case it should work with
-
-edu.stanford.nlp:stanford-corenlp:jar:models:3.8.0
-
-
-Native cpu code under linux needs libc6-dev
-/lib/x86_64-linux-gnu/libm.so.6: version `GLIBC_2.29' not found

cavis-dnn/cavis-dnn-nn/src/main/java/org/deeplearning4j/nn/layers/HelperUtils.java

@@ -64,7 +64,7 @@ public class HelperUtils {
         if("CUDA".equalsIgnoreCase(backend) && cudnnHelperClassName != null && !cudnnHelperClassName.isEmpty()) {
             if(DL4JClassLoading.loadClassByName(cudnnHelperClassName) != null) {
                 log.debug("Attempting to initialize cudnn helper {}",cudnnHelperClassName);
-                helperRet = DL4JClassLoading.<LayerHelper>createNewInstance(
+                helperRet =  (LayerHelper) DL4JClassLoading.<LayerHelper>createNewInstance(
                         cudnnHelperClassName,
                         (Class<? super LayerHelper>) layerHelperSuperClass,
                         new Object[]{arguments});
@@ -76,7 +76,7 @@ public class HelperUtils {
                 ClassLoader classLoader = DL4JClassLoading.getDl4jClassloader();
                 DL4JClassLoading.setDl4jClassloaderFromClass(layerHelperSuperClass);
                 try {
-                    helperRet = DL4JClassLoading.<LayerHelper>createNewInstance(
+                    helperRet =  (LayerHelper) DL4JClassLoading.<LayerHelper>createNewInstance(
                             cudnnHelperClassName,
                             (Class<? super LayerHelper>) layerHelperSuperClass,
                             arguments);
@@ -99,7 +99,7 @@ public class HelperUtils {
             }
 
         } else if("CPU".equalsIgnoreCase(backend) && oneDnnClassName != null && !oneDnnClassName.isEmpty()) {
-            helperRet = DL4JClassLoading.createNewInstance(
+            helperRet = DL4JClassLoading.<LayerHelper>createNewInstance(
                     oneDnnClassName,
                     arguments);
             log.trace("Created oneDNN helper: {}, layer {}", oneDnnClassName,layerName);

cavis-full/build.gradle

@@ -12,15 +12,12 @@ configurations.archives.artifacts.with { archives ->
 dependencies {
     //Todo clean this
     api platform(project(":cavis-common-platform"))
-    //api "org.bytedeco:javacpp:1.5.7"   //for some reason we needed to apply version numbers here, they do not end up in POM otherwise
+    api "org.bytedeco:javacpp:1.5.7"   //for some reason we needed to apply version numbers here, they do not end up in POM otherwise
     api "com.fasterxml.jackson.datatype:jackson-datatype-joda:2.10.5"
     api 'org.slf4j:slf4j-simple:2.0.3'
     api 'org.slf4j:slf4j-api:2.0.3'
-    //TODO for the two below.. either platform specific uber jars or a single big one with all platforms
+    //api group: "org.bytedeco", name: "javacpp", classifier: "linux-x64_86"
-    api group: "org.bytedeco", name: "javacpp", version: "1.5.7", classifier: "linux-x86_64"
+
-    //api group: "org.bytedeco", name: "javacpp", version: "1.5.7"
-   // api group: 'net.brutex.cavis-native', name: 'cavis-native-lib', version: '1.0.0-SNAPSHOT', classifier: "linux-x86_64-avx2-cpu"
-    //api group: 'net.brutex.cavis-native', name: 'cavis-native-lib', version: '1.0.0-SNAPSHOT'
     rootProject.getAllprojects().each { Project sproj ->
         if(!sproj.name.equals(name) && !sproj.name.equals("cavis-common-platform")
                 && !sproj.name.equals("Cavis")