74420bca31
* refactoring global async to use a much simpler update procedure with a single global lock Signed-off-by: Bam4d <chrisbam4d@gmail.com> * simplification of async learning algorithms, stabilization + better hyperparameters Signed-off-by: Bam4d <chrisbam4d@gmail.com> * started to play with using mockito for tests Signed-off-by: Bam4d <chrisbam4d@gmail.com> * Working on refactoring tests for async classes and trying to make async simpler Signed-off-by: Bam4d <chrisbam4d@gmail.com> * more work on mockito tests and making some tests much less complex and more explicit in what they are testing Signed-off-by: Bam4d <chrisbam4d@gmail.com> * some fixes from merging * do not allow copying of the current network to worker threads, fixing debug line Signed-off-by: Bam4d <chrisbam4d@gmail.com> * adding some more tests around PR review Signed-off-by: Bam4d <chrisbam4d@gmail.com> * Adding more tests after review comments Signed-off-by: Bam4d <chrisbam4d@gmail.com> * few more tests and fixes from PR review * remove rename of maxEpochStep to maxStepsPerEpisode as we agreed to review this in a seperate PR * 2019 instead of 2018 on copyright header * adding konduit copyright to files * some more copyright headers Signed-off-by: Bam4d <chrisbam4d@gmail.com> Co-authored-by: Alexandre Boulanger <aboulang2002@yahoo.com> |
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|---|---|---|
| .github | ||
| arbiter | ||
| datavec | ||
| deeplearning4j | ||
| docs | ||
| jumpy | ||
| libnd4j | ||
| nd4j | ||
| nd4s | ||
| pydatavec | ||
| pydl4j | ||
| rl4j | ||
| scalnet | ||
| .gitignore | ||
| CONTRIBUTING.md | ||
| Jenkinsfile | ||
| LICENSE | ||
| README.md | ||
| change-cuda-versions.sh | ||
| change-scala-versions.sh | ||
| perform-release.sh | ||
| pom.xml | ||
README.md
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