Go to file
raver119 b23ebee432 - MKL-DNN version upgrade
- deviceMutex replaced for CPU

Signed-off-by: raver119 <raver119@gmail.com>
2020-03-20 12:42:29 +03:00
.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 Support for more numpy datatypes (#241) 2020-03-19 00:48:37 +11:00
deeplearning4j DL4J integrations tests updates + add SameDiff support (#298) 2020-03-07 22:44:41 +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 - MKL-DNN version upgrade 2020-03-20 12:42:29 +03:00
nd4j AdaGrad validation test (#334) 2020-03-20 17:25:46 +11:00
nd4s Test fixes + cleanup (#245) 2020-02-18 10:29:06 +11:00
pydatavec Minor edits to README for pydatavec and pydl4j (#8336) 2019-12-06 08:10:38 +01:00
pydl4j Eclipse -> Konduit update (#188) 2020-01-27 16:03:00 +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 Eclipse -> Konduit update (#188) 2020-01-27 16:03:00 +11:00
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