f4860574d7
* Refactored kernels for segment_max/min/sum ops. * Refactored segment_prod kernels. * Refactored segment_prod kernels. * DynamicPartition test Signed-off-by: raver119 <raver119@gmail.com> * Addede linear test for dynamic_partition op. * Refactored test with int datatype. * some logging Signed-off-by: raver119 <raver119@gmail.com> * some logging Signed-off-by: raver119 <raver119@gmail.com> * some logging Signed-off-by: raver119 <raver119@gmail.com> * dynamicPartition fix Signed-off-by: raver119 <raver119@gmail.com> * get rid of some logging Signed-off-by: raver119 <raver119@gmail.com> * one more test for dynamic_stitch Signed-off-by: raver119 <raver119@gmail.com> * one more test for dynamic_stitch Signed-off-by: raver119 <raver119@gmail.com> * empty check for stitch Signed-off-by: raver119 <raver119@gmail.com> * minor print changes 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/deeplearning4j/libnd4j
- https://github.com/deeplearning4j/nd4j
- https://github.com/deeplearning4j/datavec
- https://github.com/deeplearning4j/arbiter
- https://github.com/deeplearning4j/nd4s
- https://github.com/deeplearning4j/gym-java-client
- https://github.com/deeplearning4j/rl4j
- https://github.com/deeplearning4j/scalnet
- https://github.com/deeplearning4j/pydl4j
- https://github.com/deeplearning4j/jumpy
- https://github.com/deeplearning4j/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/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