Alexander Stoyakin d98784197a
[WIP] Some optimizations in dl4j (#11)
* Minor optimization.

* Reduce number of objects.

* Extend arrays when limit reached

* Test

* Some fixes.

* Small fix

* Wrong condition fixed.

* Fixes of reallocation.

* Small fix.

* Tests

* Clean up

* Test added.

* Tests and some fixes.

* Test

* Test fixed.

* Conflict fixed.

* UX improved
2019-10-24 14:15:50 +03:00
2019-10-24 20:51:15 +11:00
2019-10-19 21:48:43 +03:00
2019-06-06 15:21:15 +03:00
2019-06-06 15:21:15 +03:00
2019-06-06 15:21:15 +03:00
2019-09-12 04:55:59 +03:00
2019-09-10 19:09:46 +10:00

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
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