fd6c0df024
* CUDA reallocation update Signed-off-by: raver119 <raver119@gmail.com> * Legacy SoftMax/LogSoftMax/SoftMaxDerivative removed from cpp Signed-off-by: raver119 <raver119@gmail.com> * SoftMaxDerivative op removed Signed-off-by: raver119 <raver119@gmail.com> * few tests updates Signed-off-by: raver119 <raver119@gmail.com> * RNG fixes Signed-off-by: raver119 <raver119@gmail.com> * few more tests updates Signed-off-by: raver119 <raver119@gmail.com> * legacy Histogram/Pooling2D removed Signed-off-by: raver119 <raver119@gmail.com> * legacy Histogram removed Signed-off-by: raver119 <raver119@gmail.com> * histogram moved Signed-off-by: raver119 <raver119@gmail.com> * histogram moved cuda Signed-off-by: raver119 <raver119@gmail.com> * Histogram custom op Signed-off-by: raver119 <raver119@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 | ||
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