3de3cd8277
* one small test Signed-off-by: raver119 <raver119@gmail.com> * one small test Signed-off-by: raver119 <raver119@gmail.com> * bert test Signed-off-by: raver119 <raver119@gmail.com> * Graph FlowPath fix Signed-off-by: raver119 <raver119@gmail.com> * - GraphProfiler tweaks - NodeProfile now includes shapes Signed-off-by: raver119 <raver119@gmail.com> * RELU_layer inplace tweak Signed-off-by: raver119 <raver119@gmail.com> * meh Signed-off-by: raver119 <raver119@gmail.com> * identity tweaks Signed-off-by: raver119 <raver119@gmail.com> * bert result validation Signed-off-by: raver119 <raver119@gmail.com> * - bunch of Shape ops have inplace exec forbidden now - Legacy ops have inplace exec disabled by default now Signed-off-by: raver119 <raver119@gmail.com> * ffast-math enabled Signed-off-by: raver119 <raver119@gmail.com> * ffast-math enabled Signed-off-by: raver119 <raver119@gmail.com> * allow some legacy ops to be inplace Signed-off-by: raver119 <raver119@gmail.com> * disable -fast_math Signed-off-by: raver119 <raver119@gmail.com> * disable expensive test for cuda Signed-off-by: raver119 <raver119@gmail.com>
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:
- https://github.com/eclipse/deeplearning4j/tree/master/libnd4j
- https://github.com/eclipse/deeplearning4j/tree/master/nd4j
- https://github.com/eclipse/deeplearning4j/tree/master/datavec
- https://github.com/eclipse/deeplearning4j/tree/master/arbiter
- https://github.com/eclipse/deeplearning4j/tree/master/nd4s
- https://github.com/eclipse/deeplearning4j/tree/master/rl4j
- https://github.com/eclipse/deeplearning4j/tree/master/scalnet
- https://github.com/eclipse/deeplearning4j/tree/master/pydl4j
- https://github.com/eclipse/deeplearning4j/tree/master/jumpy
- https://github.com/eclipse/deeplearning4j/tree/master/pydatavec
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