f40bdcf885
* add fallback for Conv layer activation Signed-off-by: Ryan Nett <rnett@skymind.io> * add fallback and config option for LSTM layers Signed-off-by: Ryan Nett <rnett@skymind.io> * add fallback option and setting for dropout Signed-off-by: Ryan Nett <rnett@skymind.io> * fix comments and error messages Signed-off-by: Ryan Nett <rnett@skymind.io> * move helper fail count to layer instance Signed-off-by: Ryan Nett <rnett@skymind.io> * ignore helperCountFail for equals and json Signed-off-by: Ryan Nett <rnett@skymind.io> * typo fix (MLK -> MKL) Signed-off-by: Ryan Nett <rnett@skymind.io> * add MKLDNN to error messages Signed-off-by: Ryan Nett <rnett@skymind.io> * add helperAllowFallback to builders, deprecate cudnnAllowFallback Signed-off-by: Ryan Nett <rnett@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/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