73aa760c0f
* Increase default timeout on Spark tests Signed-off-by: Alex Black <blacka101@gmail.com> * #8840 disable deeplearning4j-nlp-korean module for scala 2.12 Signed-off-by: Alex Black <blacka101@gmail.com> * Fix for change-scala-versions.sh Signed-off-by: Alex Black <blacka101@gmail.com> * CUDA test fixes + more timeout issues Signed-off-by: Alex Black <blacka101@gmail.com> * More CUDA Signed-off-by: Alex Black <blacka101@gmail.com> * Small fix for cuDNN subsampling + same mode Signed-off-by: Alex Black <blacka101@gmail.com> * Flaky test fix Signed-off-by: Alex Black <blacka101@gmail.com> * Reduce memory requirements for ValidateCuDNN BN test Signed-off-by: Alex Black <blacka101@gmail.com> * Fix slow/ineffirient scalnet tests Signed-off-by: Alex Black <blacka101@gmail.com> * Increase timeouts to avoid failures if CI machines are slower than expected Signed-off-by: Alex Black <blacka101@gmail.com> * Ignore flaky test (issue #8849) and increase timeout for slow CI downloads Signed-off-by: Alex Black <blacka101@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