a2ec3dbc97
* created NDImage.java and fixed constructor in AdjustContrast.java * created NDImage.java and fixed constructor in AdjustContrast.java * created NDImage.java and fixed constructor in AdjustContrast.java v2 * regenerated NDImage from cleaned Image,kt also cleaned AdjustContrast.java * draft of NDCNN * draft of NDCNN * started NDRNN * started NDRNN * looking like finished with namespace * Regenerate namespaces Signed-off-by: AlexDBlack <blacka101@gmail.com> * Add ND4J namespace methods for new namespaces Signed-off-by: AlexDBlack <blacka101@gmail.com> * Fixes, cleanup Signed-off-by: Alex Black <blacka101@gmail.com> * More fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Fix Signed-off-by: Alex Black <blacka101@gmail.com> Co-authored-by: Andrii Tuzhykov <andrew@unrealists.com> Co-authored-by: Andrii Tuzhykov <andrew@konduit.ai> Co-authored-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/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