b686368b82
* libnd4j moved split operation implementation to helpers before special case adding Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j minor fixes for general split operation move, merge master Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libndj4 split cpu implementation Signed-off-by: Oleg <oleg.semeniv@gmail.com> * - provide cuda helper for split op Signed-off-by: Yurii <iuriish@yahoo.com> * - minor correction Signed-off-by: Yurii <iuriish@yahoo.com> * - minor correction 2 Signed-off-by: Yurii <iuriish@yahoo.com> * libnd4j moved split implementation from specials to split.cpp Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j update loopkind selections for 3D, 4D and 5D cases Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j removed unnecessary BUILD_SINGLE_TEMPLATE Signed-off-by: Oleg <oleg.semeniv@gmail.com> Co-authored-by: Yurii Shyrma <iuriish@yahoo.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