2b0d7b3b52
* Nd4j pad update Signed-off-by: Ryan Nett <rnett@skymind.io> * switched from guava Immutables to Collections.unmodifiableList/Map Signed-off-by: Ryan Nett <rnett@skymind.io> * javadoc Signed-off-by: Ryan Nett <rnett@skymind.io> * use new pad Signed-off-by: Ryan Nett <rnett@skymind.io> * conv tests use OpValidation Signed-off-by: Ryan Nett <rnett@skymind.io> * deconv3d overrides Signed-off-by: Ryan Nett <rnett@skymind.io> * test fix for the new pad method Signed-off-by: Ryan Nett <rnett@skymind.io> * more test fixes Signed-off-by: Ryan Nett <rnett@skymind.io> * more test fixes Signed-off-by: Ryan Nett <rnett@skymind.io> * rename SameDiff function methods to op (except for the actual SameDiff function ones) Signed-off-by: Ryan Nett <rnett@skymind.io> * more pad overloads, test fix Signed-off-by: Ryan Nett <rnett@skymind.io> * test updates Signed-off-by: Ryan Nett <rnett@skymind.io> * conv1d test Signed-off-by: Ryan Nett <rnett@skymind.io> * remove Conv1D tf import (there isn't a TF conv1d op) Signed-off-by: Ryan Nett <rnett@skymind.io> * remove numThreads from Nd4j Signed-off-by: Ryan Nett <rnett@skymind.io> * replace Old ops with their newer versions, deprecate ones that haven't already been deprecated Signed-off-by: Ryan Nett <rnett@skymind.io> * remove use of setNumThreads Signed-off-by: Ryan Nett <rnett@skymind.io> * fix for Reverse and ATan2 Signed-off-by: Ryan Nett <rnett@skymind.io> * fix test for wrong equals type Signed-off-by: Ryan Nett <rnett@skymind.io> * well it works now Signed-off-by: Ryan Nett <rnett@skymind.io> * better javadocs Signed-off-by: Ryan Nett <rnett@skymind.io> * NonNulls Signed-off-by: Ryan Nett <rnett@skymind.io> * better array literal Signed-off-by: Ryan Nett <rnett@skymind.io> * re-add tf import stuff (will remove later) Signed-off-by: Ryan Nett <rnett@skymind.io> * conv1d config load fix Signed-off-by: Ryan Nett <rnett@skymind.io> * partial config usage changes Signed-off-by: Ryan Nett <rnett@skymind.io> * remove Old op classes Signed-off-by: Ryan Nett <rnett@skymind.io> * config property fixes Signed-off-by: Ryan Nett <rnett@skymind.io> * removed one too many ops Signed-off-by: Ryan Nett <rnett@skymind.io> |
||
|---|---|---|
| .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 | ||
| change-spark-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/deeplearning4j/libnd4j
- https://github.com/deeplearning4j/nd4j
- https://github.com/deeplearning4j/datavec
- https://github.com/deeplearning4j/arbiter
- https://github.com/deeplearning4j/nd4s
- https://github.com/deeplearning4j/gym-java-client
- https://github.com/deeplearning4j/rl4j
- https://github.com/deeplearning4j/scalnet
- https://github.com/deeplearning4j/pydl4j
- https://github.com/deeplearning4j/jumpy
- https://github.com/deeplearning4j/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/deeplearning4j/dl4j-examples
In the examples repo, you'll also find a tutorial series in Zeppelin: https://github.com/deeplearning4j/dl4j-examples/tree/master/tutorials