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* #8682 Don't log openmp BLAS threads for CUDA Signed-off-by: Alex Black <blacka101@gmail.com> * #8654 Add SameDiff multi-threaded tests Signed-off-by: Alex Black <blacka101@gmail.com> * Switching to op context for SameDiff exec Signed-off-by: Alex Black <blacka101@gmail.com> * Next steps Signed-off-by: Alex Black <blacka101@gmail.com> * Most back to passing Signed-off-by: Alex Black <blacka101@gmail.com> * Fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Better tests, test refactoring Signed-off-by: Alex Black <blacka101@gmail.com> * Small tweak Signed-off-by: Alex Black <blacka101@gmail.com> * Code duplication reduction Signed-off-by: Alex Black <blacka101@gmail.com> * More code deduplication Signed-off-by: Alex Black <blacka101@gmail.com> * CUDA fixes Signed-off-by: Alex Black <blacka101@gmail.com> * More CUDA fixes Signed-off-by: Alex Black <blacka101@gmail.com> * More fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Small fix Signed-off-by: Alex Black <blacka101@gmail.com> * ND4S small fixes Signed-off-by: Alex Black <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