269d508ba5
* two more tests fixed Signed-off-by: raver119 <raver119@gmail.com> * CUDA device afinity tweaks Signed-off-by: raver119 <raver119@gmail.com> * minor tweaks Signed-off-by: raver119 <raver119@gmail.com> * prepareAction/registerAction for CustomOps Signed-off-by: raver119 <raver119@gmail.com> * lazy allocate host bufer before relocation Signed-off-by: raver119 <raver119@gmail.com> * one special test for migration in cpp Signed-off-by: raver119 <raver119@gmail.com> * tests update for msvc Signed-off-by: raver119 <raver119@gmail.com> * logging Signed-off-by: raver119 <raver119@gmail.com> * stick to old col2im impl Signed-off-by: raver119 <raver119@gmail.com> * cudaStreams reorganization Signed-off-by: raver119 <raver119@gmail.com> * buffer size fix Signed-off-by: raver119 <raver119@gmail.com> * c++ data migration Signed-off-by: raver119 <raver119@gmail.com> * fix CropAndResize test Signed-off-by: raver119 <raver119@gmail.com> * - minor improvment Signed-off-by: Yurii <yurii@skymind.io>
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/deeplearning4j/libnd4j
- https://github.com/deeplearning4j/nd4j
- https://github.com/deeplearning4j/datavec
- https://github.com/deeplearning4j/arbiter
- https://github.com/deeplearning4j/nd4s
- https://github.com/deeplearning4j/gym-java-client
- https://github.com/deeplearning4j/rl4j
- https://github.com/deeplearning4j/scalnet
- https://github.com/deeplearning4j/pydl4j
- https://github.com/deeplearning4j/jumpy
- https://github.com/deeplearning4j/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/deeplearning4j/dl4j-examples
In the examples repo, you'll also find a tutorial series in Zeppelin: https://github.com/deeplearning4j/dl4j-examples/tree/master/tutorials