raver119 6ce458e949 [WIP] CUDA Java side (#58)
* one crashing test

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

* stupid issue fixed

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

* one fix

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

* dont ensure location for empty arrays

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

* few more signatures fixed

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

* few tweaks for DataBuffer creation from java primitives

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

* get rid of legacy im2col/col2im intercept

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

* rsubi scalar array fix

Signed-off-by: raver119 <raver119@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/deeplearning4j/dl4j-examples

In the examples repo, you'll also find a tutorial series in Zeppelin: https://github.com/deeplearning4j/dl4j-examples/tree/master/tutorials

Description
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Readme 108 MiB
Languages
Java 62.6%
C++ 25.3%
Cuda 4.6%
Kotlin 3.2%
PureBasic 1.8%
Other 2.3%