3d8f6d50a1
* Profiler Signed-off-by: Alex Black <blacka101@gmail.com> * Next steps, polishing, and loading SD/TF format JSON Signed-off-by: AlexDBlack <blacka101@gmail.com> * Next steps Signed-off-by: AlexDBlack <blacka101@gmail.com> * Profile comparison method Signed-off-by: AlexDBlack <blacka101@gmail.com> * Make profiling result writing async to reduce main thread overhead Signed-off-by: AlexDBlack <blacka101@gmail.com> * Profiling polishing Signed-off-by: AlexDBlack <blacka101@gmail.com> * Fix Signed-off-by: AlexDBlack <blacka101@gmail.com> * Profile analyzer fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Polish Signed-off-by: Alex Black <blacka101@gmail.com> * Cleanup Signed-off-by: Alex Black <blacka101@gmail.com> * Small formatting improvement Signed-off-by: Alex Black <blacka101@gmail.com> * Formatting tweak Signed-off-by: Alex Black <blacka101@gmail.com> * License headers 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/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