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* #8568 ArrayUtil optimization Signed-off-by: AlexDBlack <blacka101@gmail.com> * #6171 Keras ReLU and ELU support Signed-off-by: AlexDBlack <blacka101@gmail.com> * Keras softmax layer import Signed-off-by: AlexDBlack <blacka101@gmail.com> * #8549 Webjars dependency management Signed-off-by: AlexDBlack <blacka101@gmail.com> * Fix for TF import names ':0' suffix issue / NPE Signed-off-by: AlexDBlack <blacka101@gmail.com> * BiasAdd: fix default data format for TF import Signed-off-by: AlexDBlack <blacka101@gmail.com> * Update zoo test ignores Signed-off-by: AlexDBlack <blacka101@gmail.com> * #8509 SameDiff Listener API - provide frame + iteration Signed-off-by: AlexDBlack <blacka101@gmail.com> * #8520 ND4J Environment Signed-off-by: AlexDBlack <blacka101@gmail.com> * Deconv3d Signed-off-by: AlexDBlack <blacka101@gmail.com> * Deconv3d fixes + gradient check Signed-off-by: AlexDBlack <blacka101@gmail.com> * Conv3d fixes + deconv3d DType test Signed-off-by: AlexDBlack <blacka101@gmail.com> * Fix issue with deconv3d gradinet check weight init Signed-off-by: AlexDBlack <blacka101@gmail.com> * #8579 Fix BaseCudaDataBuffer constructor fix for UINT16 Signed-off-by: AlexDBlack <blacka101@gmail.com> * DataType.isNumerical() returns false for BOOL type Signed-off-by: AlexDBlack <blacka101@gmail.com> * #8504 Reduce Spark log spam for tests Signed-off-by: AlexDBlack <blacka101@gmail.com> * Clean up DL4J gradient check test spam Signed-off-by: AlexDBlack <blacka101@gmail.com> * More Gradient check spam reduction Signed-off-by: AlexDBlack <blacka101@gmail.com> * SameDiff test spam reduction Signed-off-by: AlexDBlack <blacka101@gmail.com> * Fixes for FlatBuffers mapping Signed-off-by: AlexDBlack <blacka101@gmail.com> * SameDiff log spam cleanup Signed-off-by: AlexDBlack <blacka101@gmail.com> * Tests should extend BaseNd4jTest Signed-off-by: AlexDBlack <blacka101@gmail.com> * Remove debug line in c++ op Signed-off-by: AlexDBlack <blacka101@gmail.com> * ND4J test spam cleanup Signed-off-by: AlexDBlack <blacka101@gmail.com> * DL4J test spam reduction Signed-off-by: AlexDBlack <blacka101@gmail.com> * More Dl4J and datavec test spam cleanup Signed-off-by: AlexDBlack <blacka101@gmail.com> * Fix for bad conv3d test Signed-off-by: AlexDBlack <blacka101@gmail.com> * Additional test Signed-off-by: AlexDBlack <blacka101@gmail.com> * Embedding layers: don't inherit global default activation function Signed-off-by: AlexDBlack <blacka101@gmail.com> * Trigger CI Signed-off-by: AlexDBlack <blacka101@gmail.com> * Consolidate all BaseDL4JTest classes to single class used everywhere; make timeout configurable per class Signed-off-by: AlexDBlack <blacka101@gmail.com> * Test fixes and timeout increases Signed-off-by: AlexDBlack <blacka101@gmail.com> * Timeouts and PReLU fixes Signed-off-by: AlexDBlack <blacka101@gmail.com> * Restore libnd4j build threads arg for CUDA build Signed-off-by: AlexDBlack <blacka101@gmail.com> * Increase timeouts on a few tests to avoid spurious failures on some CI machines Signed-off-by: AlexDBlack <blacka101@gmail.com> * More timeout fixes Signed-off-by: AlexDBlack <blacka101@gmail.com> * More test timeout fixes Signed-off-by: AlexDBlack <blacka101@gmail.com> * Tweak timeout for one more test Signed-off-by: AlexDBlack <blacka101@gmail.com> * Final tweaks Signed-off-by: AlexDBlack <blacka101@gmail.com> * One more ignore Signed-off-by: AlexDBlack <blacka101@gmail.com> |
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|---|---|---|
| .github | ||
| arbiter | ||
| datavec | ||
| deeplearning4j | ||
| docs | ||
| gym-java-client | ||
| jumpy | ||
| libnd4j | ||
| nd4j | ||
| nd4s | ||
| pydatavec | ||
| pydl4j | ||
| rl4j | ||
| scalnet | ||
| .gitignore | ||
| CONTRIBUTING.md | ||
| Jenkinsfile | ||
| LICENSE | ||
| README.md | ||
| change-cuda-versions.sh | ||
| change-scala-versions.sh | ||
| perform-release.sh | ||
| pom.xml | ||
README.md
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