e8cbf5255a
* libnd4j: first step of merge_max implementation Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j fixed typos Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j some corrections for mergeMaxBp Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j some minor corrections Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j test added for mergemax_bp Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j fixed several problems tests added, check with gradCheck Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j remove duplicated tests Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j split implementation of transforms ops into separate file implementation Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j code clean up, added mergeavg_bp and mergeadd_bp, need testing Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j merge master, fixed typos and added tests Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j some minor fixes Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j added helper for mergeAddBp operation, this permits to skip nullify Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j file renaming changes and cuda some corrections, need some additional corrections Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j some additional corrections for merge ops Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j more corrections per request for cuda more proper usage Signed-off-by: Oleg <oleg.semeniv@gmail.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