raver119 ac7fb903d7
C++ rearrangements (#485)
* initial commit

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

* some minor singleton changes

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

* more iterations

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

* more singletons updated

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

* more singletons updated

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

* more changes

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

* CUDA updates

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

* Java side update

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

* one commented out test

Signed-off-by: raver119@gmail.com <raver119@gmail.com>
2020-06-06 15:26:55 +03:00
2020-06-06 15:26:55 +03:00
2020-06-06 15:26:55 +03:00
2020-05-21 11:47:12 +10:00
2020-04-20 11:21:01 +09:00
2019-11-14 19:38:20 +11:00
2019-06-06 15:21:15 +03:00
2019-06-06 15:21:15 +03:00
2020-05-21 11:47:12 +10:00
2020-01-27 16:03:00 +11:00

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

Description
No description provided
Readme 108 MiB
Languages
Java 62.6%
C++ 25.3%
Cuda 4.6%
Kotlin 3.2%
PureBasic 1.8%
Other 2.3%