Go to file
raver119 ac0d249f07
build fix for clang (#159)
Signed-off-by: raver119@gmail.com <raver119@gmail.com>
2020-01-03 15:17:06 +03:00
.github Update contributing and issue/PR templates (#7934) 2019-06-22 16:21:27 +10:00
arbiter Add support for CUDA 10.2 (#89) 2019-11-29 16:31:03 +11:00
datavec Add op counting to TensorFlowImportValidator (#128) 2019-12-17 10:23:37 +11:00
deeplearning4j Lu wrapper and tests fixes (#144) 2019-12-30 15:06:12 +03:00
docs Mention the new % unit for maxBytes and maxPhysicalBytes in Memory management documentation (#8435) (#8461) 2019-12-05 12:47:53 +09:00
gym-java-client RL4J: Make a few fixes (#8303) 2019-10-31 13:41:52 +09:00
jumpy Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
libnd4j build fix for clang (#159) 2020-01-03 15:17:06 +03:00
nd4j fix if dir does not exist (#129) 2019-12-30 19:48:57 -05:00
nd4s Add support for CUDA 10.2 (#89) 2019-11-29 16:31:03 +11:00
pydatavec Minor edits to README for pydatavec and pydl4j (#8336) 2019-12-06 08:10:38 +01:00
pydl4j Minor edits to README for pydatavec and pydl4j (#8336) 2019-12-06 08:10:38 +01:00
rl4j Merge pull request #8495 from KonduitAI/master 2019-12-05 11:05:44 +11:00
scalnet Add support for CUDA 10.2 (#89) 2019-11-29 16:31:03 +11:00
.gitignore fix pydatavec for python 3... and python2 install problems (#8422) 2019-11-20 08:20:04 +01:00
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 Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
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 Python updates (#86) 2019-12-02 19:20:23 +11:00

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