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* Vertx transition initial steps Signed-off-by: AlexDBlack <blacka101@gmail.com> * Assets serving works Signed-off-by: AlexDBlack <blacka101@gmail.com> * Next steps Signed-off-by: AlexDBlack <blacka101@gmail.com> * Add other pages Signed-off-by: AlexDBlack <blacka101@gmail.com> * Add remaining modules Signed-off-by: AlexDBlack <blacka101@gmail.com> * Delete deeplearning4j-play module Signed-off-by: AlexDBlack <blacka101@gmail.com> * SD UI module Signed-off-by: AlexDBlack <blacka101@gmail.com> * Main UI works Signed-off-by: AlexDBlack <blacka101@gmail.com> * Multi-session UI fixed Signed-off-by: AlexDBlack <blacka101@gmail.com> * TSNE fixed Signed-off-by: AlexDBlack <blacka101@gmail.com> * Polish, fixes, re-add CLI launch option Signed-off-by: AlexDBlack <blacka101@gmail.com> * Fix remote UI functionality Signed-off-by: AlexDBlack <blacka101@gmail.com> * Final tweaks Signed-off-by: AlexDBlack <blacka101@gmail.com> * Remove Scala version suffix from deeplearning4j-ui Signed-off-by: AlexDBlack <blacka101@gmail.com> * Update Arbiter UI to vertx Signed-off-by: AlexDBlack <blacka101@gmail.com> * Missing version tag Signed-off-by: AlexDBlack <blacka101@gmail.com> * Remove (now unneeded) scala from arbiter UI Signed-off-by: AlexDBlack <blacka101@gmail.com> * Move vertx version to parent pom Signed-off-by: AlexDBlack <blacka101@gmail.com> * Switch template loading from classpath to a more reliable mechanism Signed-off-by: AlexDBlack <blacka101@gmail.com> * Small fix for I18N message loading Signed-off-by: AlexDBlack <blacka101@gmail.com> * Switch to shaded jackson for UI module JSON conversion Signed-off-by: AlexDBlack <blacka101@gmail.com> * Small test tweaks and copyright header fix Signed-off-by: AlexDBlack <blacka101@gmail.com> * pom file copyright headers Signed-off-by: AlexDBlack <blacka101@gmail.com> * plugins -> pliginManagement for java 8 modules Signed-off-by: AlexDBlack <blacka101@gmail.com> * plugins -> pliginManagement for java 8 modules Signed-off-by: AlexDBlack <blacka101@gmail.com>
Monorepo of Deeplearning4j
Welcome to the new monorepo of Deeplearning4j that contains the source code for all the following projects, in addition to the original repository of Deeplearning4j moved to deeplearning4j:
- https://github.com/eclipse/deeplearning4j/tree/master/libnd4j
- https://github.com/eclipse/deeplearning4j/tree/master/nd4j
- https://github.com/eclipse/deeplearning4j/tree/master/datavec
- https://github.com/eclipse/deeplearning4j/tree/master/arbiter
- https://github.com/eclipse/deeplearning4j/tree/master/nd4s
- https://github.com/eclipse/deeplearning4j/tree/master/gym-java-client
- https://github.com/eclipse/deeplearning4j/tree/master/rl4j
- https://github.com/eclipse/deeplearning4j/tree/master/scalnet
- https://github.com/eclipse/deeplearning4j/tree/master/pydl4j
- https://github.com/eclipse/deeplearning4j/tree/master/jumpy
- https://github.com/eclipse/deeplearning4j/tree/master/pydatavec
To build everything, we can use commands like
./change-cuda-versions.sh x.x
./change-scala-versions.sh 2.xx
./change-spark-versions.sh x
mvn clean install -Dmaven.test.skip -Dlibnd4j.cuda=x.x -Dlibnd4j.compute=xx
or
mvn -B -V -U clean install -pl '!jumpy,!pydatavec,!pydl4j' -Dlibnd4j.platform=linux-x86_64 -Dlibnd4j.chip=cuda -Dlibnd4j.cuda=9.2 -Dlibnd4j.compute=<your GPU CC> -Djavacpp.platform=linux-x86_64 -Dmaven.test.skip=true
An example of GPU "CC" or compute capability is 61 for Titan X Pascal.
Want some examples?
We have separate repository with various examples available: https://github.com/eclipse/deeplearning4j-examples
In the examples repo, you'll also find a tutorial series in Zeppelin: https://github.com/eclipse/deeplearning4j-examples/tree/master/tutorials