Go to file
mheck136 364f9a660c
Set source and target version of nd4j-native to java 7 (#8808)
Signed-off-by: Martin Heck <mheck136@gmail.com>
2020-03-26 11:33:56 +11:00
.github Update contributing and issue/PR templates (#7934) 2019-06-22 16:21:27 +10:00
arbiter #8751 Arbiter grid search candidate generator fix [WIP] (#292) 2020-03-06 12:01:21 +11:00
datavec Fixing python object for obtaining scalars (#330) 2020-03-24 19:11:57 +11:00
deeplearning4j Merge pull request #8801 from basedrhys/master 2020-03-24 20:02:58 +11:00
docs Mention the new % unit for maxBytes and maxPhysicalBytes in Memory management documentation (#8435) (#8461) 2019-12-05 12:47:53 +09:00
jumpy Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
libnd4j Bugfix failing builds (#341) 2020-03-24 12:55:47 +11:00
nd4j Set source and target version of nd4j-native to java 7 (#8808) 2020-03-26 11:33:56 +11:00
nd4s SameDiff multi-threaded inference (#263) 2020-03-20 21:24:39 +11:00
pydatavec python version bump 2019-12-18 15:56:03 +01:00
pydl4j Merge pull request #8548 from KonduitAI/mp_update_python_packages 2019-12-19 10:25:19 +11:00
rl4j Merge remote-tracking branch 'eclipse/master' 2020-03-18 16:17:14 +09:00
scalnet Add support for CUDA 10.2 (#89) 2019-11-29 16:31:03 +11:00
.gitignore Remove the two files that get generated by javacpp to avoid conflicts. Also add them to .gitignore 2020-03-10 10:05:56 +00:00
CONTRIBUTING.md Various fixes (#43) 2019-11-14 19:38:20 +11:00
Jenkinsfile Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
LICENSE Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
README.md RL4J: Replace gym-java-client with JavaCPP (#8595) 2020-01-20 17:13:57 +09:00
change-cuda-versions.sh Add support for CUDA 10.2 (#89) 2019-11-29 16:31:03 +11:00
change-scala-versions.sh Version upgrades (#199) 2019-08-30 14:35:27 +10:00
perform-release.sh Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
pom.xml Fixes #8763 (#310) 2020-03-19 14:53:21 +09:00

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:

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