f116f53d61
* libnd4j cast loop types Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j more type castination added to loops Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j sync casting types of iterated variable in loops Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j more loops reviewed for vectorization problem fix Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j fixed several typos Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j several more files reviewed to fix auto-vectorization problem in loops Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j merge master and reviewed more files to fix auto-vectorization problem in loops Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j several type casting added in broadcasting that were missed, fixed mac builds Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j double check all files and fix several more places in loops Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j fixed builds Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j revert changes for lup.cpp Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j more files reviewed for auto-vectorization problem fix Signed-off-by: Oleg <oleg.semeniv@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