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* no openmp for ClipByGlobalNorm Signed-off-by: raver119 <raver119@gmail.com> * one more bfloat16 rng test Signed-off-by: raver119 <raver119@gmail.com> * assertion fix Signed-off-by: raver119 <raver119@gmail.com> * - legacy IsMax gone - linear IsMax gets shapeInfo argument Signed-off-by: raver119 <raver119@gmail.com> * get rid of legacy IsMax tests Signed-off-by: raver119 <raver119@gmail.com> * IsMax is custom op now Signed-off-by: raver119 <raver119@gmail.com> * more blocks for ismax Signed-off-by: raver119 <raver119@gmail.com> * one more test Signed-off-by: raver119 <raver119@gmail.com> * - sqrt test - some legacy code removed from CudaExecutioner - Transforms.asin tweaks Signed-off-by: raver119 <raver119@gmail.com> * - TransformFloat fix Signed-off-by: raver119 <raver119@gmail.com> * - ismax fix - SpaceToBatchND/BatchToSpaceND wrappers - couple of legacy tests removed 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