0cdb5750e0
* - provide possibility to pass axis as last input array in concat op - corrcect sumation in bias_add_bp op for NHWC case Signed-off-by: Yurii <iuriish@yahoo.com> * - write code for deconv2d op based on mkl dnn api * no unsafe math Signed-off-by: raver119 <raver119@gmail.com> * no unsafe math Signed-off-by: raver119 <raver119@gmail.com> * - get rid of e<> and p<> methods in svd helper Signed-off-by: Yurii <iuriish@yahoo.com> * - provide mkl api support for deconvolution 3d Signed-off-by: Yurii <iuriish@yahoo.com> * - write deconv2d_bp based on mkl api Signed-off-by: Yurii <iuriish@yahoo.com> * - write deconv3d_bp based on mkl api Signed-off-by: Yurii <iuriish@yahoo.com> * - testing and fixing deconv based on mkl api Signed-off-by: Yurii <iuriish@yahoo.com> * - remove dilation form conv2d/3d mkl Signed-off-by: Yurii <iuriish@yahoo.com> * - minor changes Signed-off-by: Yurii <iuriish@yahoo.com> * - further corrections of deconv ops based on mkl dnn api Signed-off-by: Yurii <iuriish@yahoo.com> * - provide deconv2d_tf based on mkl dnn api Signed-off-by: Yurii <iuriish@yahoo.com> * - add minor corrections required by reviewer Signed-off-by: Yurii <iuriish@yahoo.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