Alex Black 91de96588c
BertIterator sentence pair support for supervised training (#108)
* bert iterator sentence pair handling

Signed-off-by: eraly <susan.eraly@gmail.com>

* bert iterator sentence pair handling -seg

Signed-off-by: eraly <susan.eraly@gmail.com>

* bert iterator sentence pair handling tests

Signed-off-by: eraly <susan.eraly@gmail.com>

* test with pairs long done

Signed-off-by: eraly <susan.eraly@gmail.com>

* more tests with bert iter sent pairs done

Signed-off-by: eraly <susan.eraly@gmail.com>

* fixed copyright, formatting

Signed-off-by: eraly <susan.eraly@gmail.com>

* bert iterator - added featurizer for sentence pair inference

Signed-off-by: eraly <susan.eraly@gmail.com>

* bert iterator - finished tests

Signed-off-by: eraly <susan.eraly@gmail.com>

* bert iterator - finished tests, polish

Signed-off-by: eraly <susan.eraly@gmail.com>

* collection labeled sentence provider

Signed-off-by: eraly <susan.eraly@gmail.com>

* lombok fix for pojo class

Signed-off-by: eraly <susan.eraly@gmail.com>

* java doc misc clean up

Signed-off-by: eraly <susan.eraly@gmail.com>

* Private access modifiers

Signed-off-by: AlexDBlack <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%
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