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* error code check in CudaMemoryManager Signed-off-by: raver119@gmail.com <raver119@gmail.com> * clear Signed-off-by: raver119@gmail.com <raver119@gmail.com> * clear model before exiting Signed-off-by: raver119@gmail.com <raver119@gmail.com> * MultiLayerNetwork/ComputationGraph.close() [WIP] (#460) * MultiLayerNetwork/ComputationGraph.close() Signed-off-by: Alex Black <blacka101@gmail.com> * Copyright header Signed-off-by: Alex Black <blacka101@gmail.com> * Fix Signed-off-by: Alex Black <blacka101@gmail.com> * - fix for handling release of nested DataBuffers - couple of additional tests for released DataBuffers Signed-off-by: raver119@gmail.com <raver119@gmail.com> * PW test: increase number of epochs slightly Signed-off-by: raver119@gmail.com <raver119@gmail.com> Co-authored-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