23e4aa99ad
* - start working on bp for lstm Signed-off-by: Yurii <iuriish@yahoo.com> * - further working on bp for lstmLayer Signed-off-by: Yurii <iuriish@yahoo.com> * - minor change Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on bp for lstmLayer 2 Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on bp for lstmLayer 3 Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on bp for lstmLayer 4 Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on bp for lstmLayer 5 Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on bp for lstmLayer 6 Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on bp for lstmLayer 7 Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on bp for lstmLayer 8 Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on bp for lstmLayer 9 Signed-off-by: Yurii <iuriish@yahoo.com> * - provide lstmLayerCell and lstmLayerCellBp as separate CUSTOM_OPs Signed-off-by: Yurii <iuriish@yahoo.com> * - testing and fixing lstmLayerCellBp helper Signed-off-by: Yurii <iuriish@yahoo.com> * - implement lstmLayerCellBp as separate op Signed-off-by: Yurii <iuriish@yahoo.com> * - implement lstmLayerBp as separate op (not tested) Signed-off-by: Yurii <iuriish@yahoo.com> * - fixing calculations of dLdWp and dLdb in lstmLayerCellBp Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on bp for lstmLayer 10 Signed-off-by: Yurii <iuriish@yahoo.com> * - fixing typo in lstmLayerTimeLoop Signed-off-by: Yurii <iuriish@yahoo.com> * - forgot to perform clipping of c array and calculate corresponding derivative in lstmLayerCellBp Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on bp for lstmLayer 10 Signed-off-by: Yurii <iuriish@yahoo.com> * - testing and fixing bugs in lstmLayer_bp op 1 Signed-off-by: Yurii <iuriish@yahoo.com> * - testing and fixing bugs in lstmLayer_bp op 2 Signed-off-by: Yurii <iuriish@yahoo.com> * - turn off heavy tests for cuda for lstmLayer_bp op Signed-off-by: Yurii <iuriish@yahoo.com> * - forgot to nullify gradients at eliminated time steps (when sequnce length array is present ) Signed-off-by: Yurii <iuriish@yahoo.com> |
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|---|---|---|
| .github | ||
| arbiter | ||
| datavec | ||
| deeplearning4j | ||
| docs | ||
| 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/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