Go to file
raver119 bac130bd78
CUDA host pointer fix (#322)
* CUDA fix: host pointer propagation

Signed-off-by: raver119 <raver119@gmail.com>

* disable logging

Signed-off-by: raver119 <raver119@gmail.com>
2020-03-16 12:07:34 +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 Ignore none type for pythonexception (#237) 2020-02-13 09:58:39 +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 benchmarks fixes (#321) 2020-03-16 10:31:06 +03:00
nd4j CUDA host pointer fix (#322) 2020-03-16 12:07:34 +03:00
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 rl4j: update host pointers content before reading them 2020-03-11 10:57:55 +03:00
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 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 Add Maven profiles for ARM builds to pom.xml files (#265) 2020-03-04 11:11:01 +03:00

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