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* initial commit Signed-off-by: raver119 <raver119@gmail.com> * one more initial commit Signed-off-by: raver119 <raver119@gmail.com> * additional initial commit Signed-off-by: raver119 <raver119@gmail.com> * subsequent initial commit Signed-off-by: raver119 <raver119@gmail.com> * initial commit testing Signed-off-by: raver119 <raver119@gmail.com> * initial commit per device Signed-off-by: raver119 <raver119@gmail.com> * initial commit per group Signed-off-by: raver119 <raver119@gmail.com> * initial commit for cuda Signed-off-by: raver119 <raver119@gmail.com> * initial commit for cuda + few missed lines Signed-off-by: raver119 <raver119@gmail.com> * initial commit for cuda + missed includes Signed-off-by: raver119 <raver119@gmail.com> * initial commit for cuda + one more missed include Signed-off-by: raver119 <raver119@gmail.com> * initial commit shouldn't count host mem as dev0 in cuda Signed-off-by: raver119 <raver119@gmail.com> * initial commit that tracks HOST group limits for CUDA Signed-off-by: raver119 <raver119@gmail.com> * initial commit with some Environment changes Signed-off-by: raver119 <raver119@gmail.com> * initial commit with more Environment changes Signed-off-by: raver119 <raver119@gmail.com> * initial commit with maxMasterThreads fix Signed-off-by: raver119 <raver119@gmail.com> * initial commit with maxMasterThreads fix Signed-off-by: raver119 <raver119@gmail.com> * initial commit without maxMasterThreads exception Signed-off-by: raver119 <raver119@gmail.com> * initial commit without Nd4jULong in Environment Signed-off-by: raver119 <raver119@gmail.com> * add sleep and more iterations for OOM cases Signed-off-by: raver119 <raver119@gmail.com> * limits propagation from java side Signed-off-by: raver119 <raver119@gmail.com> * - consume ErrorCode every time - one test for memory limits Signed-off-by: raver119 <raver119@gmail.com> * unordered_map Signed-off-by: raver119 <raver119@gmail.com> * unordered_map Signed-off-by: raver119 <raver119@gmail.com> * unordered_map Signed-off-by: raver119 <raver119@gmail.com> * RSub op mapping fixed Signed-off-by: raver119 <raver119@gmail.com> * typo fixed Signed-off-by: raver119 <raver119@gmail.com> * one bad test fixed Signed-off-by: raver119 <raver119@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/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