Alex Black 63c9223bc2
Assorted fixes (#318)
* #8777 MultiLayerNetwork.evaluate(MultiDataSetIterator) overload

Signed-off-by: Alex Black <blacka101@gmail.com>

* #8768 SameDiff.equals

Signed-off-by: Alex Black <blacka101@gmail.com>

* #8750 shade freemarker library and switch to it in DL4J UI

Signed-off-by: Alex Black <blacka101@gmail.com>

* #8704 DL4J UI redirect

Signed-off-by: Alex Black <blacka101@gmail.com>

* #8776 RecordReaderDataSetIterator builder collectMetaData fix

Signed-off-by: Alex Black <blacka101@gmail.com>

* #8718 Fix DL4J doEvaluation metadata

Signed-off-by: Alex Black <blacka101@gmail.com>

* #8715 ArchiveUtils - Add option to not log every extracted file

Signed-off-by: Alex Black <blacka101@gmail.com>

* No exception for evaluations that don't support metadata

Signed-off-by: Alex Black <blacka101@gmail.com>

* Fixes

Signed-off-by: Alex Black <blacka101@gmail.com>

* #8765 CompGraph+MDS fix for SharedTrainingMaster

Signed-off-by: Alex Black <blacka101@gmail.com>

* small fix

Signed-off-by: Alex Black <blacka101@gmail.com>

* Timeout

Signed-off-by: Alex Black <blacka101@gmail.com>

* Ignore

Signed-off-by: Alex Black <blacka101@gmail.com>

* Revert freemarker shading

Signed-off-by: Alex Black <blacka101@gmail.com>

* Ignore

Signed-off-by: Alex Black <blacka101@gmail.com>
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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%