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* flatbuffers version upgrade Signed-off-by: raver119 <raver119@gmail.com> * flatbuffers version upgrade java side Signed-off-by: raver119 <raver119@gmail.com> * flatbuffers dependency version upgrade java side Signed-off-by: raver119 <raver119@gmail.com> * MKLDNN version upgrade Signed-off-by: raver119 <raver119@gmail.com> * DArgs first pass Signed-off-by: raver119 <raver119@gmail.com> * signatures first pass Signed-off-by: raver119 <raver119@gmail.com> * signatures second pass Signed-off-by: raver119 <raver119@gmail.com> * signatures third pass Signed-off-by: raver119 <raver119@gmail.com> * signatures third pass Signed-off-by: raver119 <raver119@gmail.com> * signatures fourth pass Signed-off-by: raver119 <raver119@gmail.com> * signatures fifth pass Signed-off-by: raver119 <raver119@gmail.com> * flatbuffers UI version upgrade java side Signed-off-by: raver119 <raver119@gmail.com> * flatbuffers ui update Signed-off-by: raver119 <raver119@gmail.com> * flatbuffers downgrade Signed-off-by: raver119 <raver119@gmail.com> * flatbuffers downgrade java side 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