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* softmax and logSoftmax w/ dimension Signed-off-by: Ryan Nett <rnett@skymind.io> * start of while Signed-off-by: Ryan Nett <rnett@skymind.io> * if, start of javadocs Signed-off-by: Ryan Nett <rnett@skymind.io> * while foreward pass working, backprop WIP Signed-off-by: Ryan Nett <rnett@skymind.io> * no backprop Signed-off-by: Ryan Nett <rnett@skymind.io> * Tensorflow style if/while (& tests), name scope fixes (and test), argument interceptor (for if/while), use '_' in op names instead of ':' Signed-off-by: Ryan Nett <rnett@skymind.io> * javadoc Signed-off-by: Ryan Nett <rnett@skymind.io> * many fixes Signed-off-by: Ryan Nett <rnett@skymind.io> * many fixes Signed-off-by: Ryan Nett <rnett@skymind.io> * Some fixes Signed-off-by: Ryan Nett <rnett@skymind.io> * cleanup if condition doesn't return boolean Signed-off-by: Ryan Nett <rnett@skymind.io> * serialization fix Signed-off-by: Ryan Nett <rnett@skymind.io> * use constants instead of magic numbers 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