9cf28ea6c9
* special cpu concat Signed-off-by: raver119 <raver119@gmail.com> * special concat fix Signed-off-by: raver119 <raver119@gmail.com> * OpProfiler tweak for absent host pointers Signed-off-by: raver119 <raver119@gmail.com> * minor test tweak to see orders Signed-off-by: raver119 <raver119@gmail.com> * CUDA broadcasting diff orders fix Signed-off-by: raver119 <raver119@gmail.com> * faster iterations Signed-off-by: raver119 <raver119@gmail.com> * OldSoftMax/OldLogSoftMax gone Signed-off-by: raver119 <raver119@gmail.com> * RandomLauncher tweaks Signed-off-by: raver119 <raver119@gmail.com> * additional check int randomtests Signed-off-by: raver119 <raver119@gmail.com> * skip prepare/register action for empty arrays Signed-off-by: raver119 <raver119@gmail.com> * npz float16 fix Signed-off-by: raver119 <raver119@gmail.com> * empty reduction cuda fixes Signed-off-by: raver119 <raver119@gmail.com> * ShapeBufferTests tweaks 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/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