589401477d
* - profiling bias_add op - add some docementation Signed-off-by: Yurii <yurii@skymind.io> * - minor change Signed-off-by: Yurii <yurii@skymind.io> * - provide addBias cuda kernel Signed-off-by: Yurii <yurii@skymind.io> * - improve shape::getIndexOfffset and change its signature Signed-off-by: Yurii <yurii@skymind.io> * - same as previous Signed-off-by: Yurii <yurii@skymind.io> * - improve and change signature in some shape:: stuff which has to do with calculation of offsets for array elements Signed-off-by: Yurii <yurii@skymind.io> * - minor changes in flatten Signed-off-by: Yurii <shyrma@skymind.io> * - add function shape::getIndexOffsetOrdered Signed-off-by: Yurii <shyrma@skymind.io> * - correct shape::getIndexOffsetOrdered() Signed-off-by: Yurii <shyrma@skymind.io> * - move getIndexOffsetOrdered to flatten.h header in order to isolate this function Signed-off-by: Yurii <shyrma@skymind.io>
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/gym-java-client
- 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