4db28a9300
* Cleanup modules * Moving subprojects to nd4j-api * Project cleanup * Dropped AWS sub-project * dl4j-util moved to core * dl4j-perf moved to core * Tests coverage * Revert "Moving subprojects to nd4j-api" This reverts commit bc6eb573c6b60c407ade47172c5d204725077e6b. * Moved nd4j-buffer and nd4j-context to nd4j-api * Rolled back change * Revert "Project cleanup" This reverts commit 64ac7f369b2d968f7be437718034f093fc886ffc. * Datavec cleaned up * Revert "Moved nd4j-buffer and nd4j-context to nd4j-api" This reverts commit 75f4e8da80d2551e44e1251dd6c5923289fff8e1. # Conflicts: # nd4j/nd4j-backends/nd4j-tests/src/test/java/org/nd4j/autodiff/opvalidation/ReductionBpOpValidation.java * Resolve conflict * Compilation fixed. * nd4j-context and nd4j-buffer moved to nd4j-api * Fixed TF mapping for mmul * Fix for dl4j-cuda tests Signed-off-by: Alex Black <blacka101@gmail.com> * Move last few tests from deeplearning4j-nn to -core Signed-off-by: Alex Black <blacka101@gmail.com> * Remove incorrect TF import mapping for TensorMmul op Signed-off-by: Alex Black <blacka101@gmail.com> * Cleaned TF mapping * Fix path for test results on windows * Remove old dependency Signed-off-by: Alex Black <blacka101@gmail.com> * One more attempt to fix path for test results on windows * fixup! One more attempt to fix path for test results on windows * fixup! One more attempt to fix path for test results on windows Co-authored-by: Alex Black <blacka101@gmail.com> Co-authored-by: Serhii Shepel <9946053+sshepel@users.noreply.github.com> Co-authored-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/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/gym-java-client
- 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