20e3039f2e
* Added isSkipped() to Observation Signed-off-by: unknown <aboulang2002@yahoo.com> * Changed refacInitMdp to use isSkipped() Signed-off-by: unknown <aboulang2002@yahoo.com> * Changed getHistoryProcessor() Signed-off-by: unknown <aboulang2002@yahoo.com> * Fixed getEpochCounter() incorrectly changed to getCurrentEpochStep() calls Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com> * Removed StepCountable Signed-off-by: Alexandre Boulanger <aboulang2002@yahoo.com> * Fix build Signed-off-by: Samuel Audet <samuel.audet@gmail.com> * Fixed a problem in QLearningDiscrete and another in CartpoleNative Signed-off-by: unknown <aboulang2002@yahoo.com> * Update versions of JavaCPP Presets for NumPy, MKL, Gym, and TensorFlow Signed-off-by: Samuel Audet <samuel.audet@gmail.com> * RL4J: Add ability to set a random seed for GymEnv Signed-off-by: Samuel Audet <samuel.audet@gmail.com> Co-authored-by: Samuel Audet <samuel.audet@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