1003428a18
* Removed invalid resource and fixed tests Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com> * legacy scalar/pairwise/broadcast int ops Signed-off-by: raver119 <raver119@gmail.com> * NDArray int broadcastables Signed-off-by: raver119 <raver119@gmail.com> * few more bitwise tests Signed-off-by: raver119 <raver119@gmail.com> * java side update Signed-off-by: raver119 <raver119@gmail.com> * Argument type changed for shift ops Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com> * legacy scalar/pairwise/broadcast int ops Signed-off-by: raver119 <raver119@gmail.com> * NDArray int broadcastables Signed-off-by: raver119 <raver119@gmail.com> * few more bitwise tests Signed-off-by: raver119 <raver119@gmail.com> * java side update Signed-off-by: raver119 <raver119@gmail.com> * Argument type changed for shift ops Signed-off-by: Alexander Stoyakin <alexander.stoyakin@gmail.com> |
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| .github | ||
| arbiter | ||
| datavec | ||
| deeplearning4j | ||
| docs | ||
| gym-java-client | ||
| 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/deeplearning4j/libnd4j
- https://github.com/deeplearning4j/nd4j
- https://github.com/deeplearning4j/datavec
- https://github.com/deeplearning4j/arbiter
- https://github.com/deeplearning4j/nd4s
- https://github.com/deeplearning4j/gym-java-client
- https://github.com/deeplearning4j/rl4j
- https://github.com/deeplearning4j/scalnet
- https://github.com/deeplearning4j/pydl4j
- https://github.com/deeplearning4j/jumpy
- https://github.com/deeplearning4j/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/deeplearning4j/dl4j-examples
In the examples repo, you'll also find a tutorial series in Zeppelin: https://github.com/deeplearning4j/dl4j-examples/tree/master/tutorials