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* changed [] to ... Signed-off-by: Ryan Nett <rnett@skymind.io> * added randn(long seed, int... shape) Signed-off-by: Ryan Nett <rnett@skymind.io> * Fixed a couple of methods Signed-off-by: Ryan Nett <rnett@skymind.io> * ToString methods w/ options Signed-off-by: Ryan Nett <rnett@skymind.io> * fixes, less toString methods, and a few ops I missed Signed-off-by: Ryan Nett <rnett@skymind.io> * some javadocs, change int... to long... where possible Signed-off-by: Ryan Nett <rnett@skymind.io> * another javadoc Signed-off-by: Ryan Nett <rnett@skymind.io> * javadoc fix Signed-off-by: Ryan Nett <rnett@skymind.io> * just javadoc in INDArray Signed-off-by: Ryan Nett <rnett@skymind.io> * local/static fix Signed-off-by: Ryan Nett <rnett@skymind.io> * Add @NonNull to options Signed-off-by: Ryan Nett <rnett@skymind.io> * javadoc updates/fixes Signed-off-by: Ryan Nett <rnett@skymind.io> * more @NonNulls Signed-off-by: Ryan Nett <rnett@skymind.io> * even more @NonNulls, this time on varargs Signed-off-by: Ryan Nett <rnett@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