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* initial set of include changes Signed-off-by: raver119 <raver119@gmail.com> * one more tweak Signed-off-by: raver119 <raver119@gmail.com> * few more rearrangements Signed-off-by: raver119 <raver119@gmail.com> * few more rearrangements Signed-off-by: raver119 <raver119@gmail.com> * few more rearrangements Signed-off-by: raver119 <raver119@gmail.com> * cuda includes rearrangements Signed-off-by: raver119 <raver119@gmail.com> * java update Signed-off-by: raver119 <raver119@gmail.com> * = namespace changed to sd - few CMake variables renamed with SD_ prefix Signed-off-by: raver119 <raver119@gmail.com> * java update Signed-off-by: raver119 <raver119@gmail.com> * LoopKind minor fix Signed-off-by: raver119 <raver119@gmail.com> * few more changes Signed-off-by: raver119 <raver119@gmail.com> * few more changes Signed-off-by: raver119 <raver119@gmail.com> * few more changes Signed-off-by: raver119 <raver119@gmail.com> * sanitizer is optional now Signed-off-by: raver119 <raver119@gmail.com> * dev tests updated Signed-off-by: raver119 <raver119@gmail.com> * few more changes Signed-off-by: raver119 <raver119@gmail.com> * last update Signed-off-by: raver119 <raver119@gmail.com> * java update Signed-off-by: raver119 <raver119@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/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