Yurii Shyrma 0bc9785508
mkldnn concat call cases correction (#471)
* - disable mkldnn concat when number of input arrays > 3072

Signed-off-by: Yurii <iuriish@yahoo.com>

* - get rid of loop in calculating of input arrays number

Signed-off-by: Yurii <iuriish@yahoo.com>
2020-05-19 21:56:41 +03:00
2020-05-06 09:59:53 +02:00
2020-05-18 15:46:46 +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
2020-01-27 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
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Readme 108 MiB
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Java 62.6%
C++ 25.3%
Cuda 4.6%
Kotlin 3.2%
PureBasic 1.8%
Other 2.3%