ec757f654d
* ignored ops checked Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * reconfigured AdjustContrast + commented primitive_gru Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * minor changes + exception ops commented Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * figured out non existent tf ops and random ops check Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * minor changes to tensorflowop and randomness cheks Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * deconv2d tensorfloname removed * Fix Flatbuffers ser/de with character fields Signed-off-by: Alex Black <blacka101@gmail.com> * TFGraphTestAllSameDiff tests passed except NonMaxSuppression Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * minor changes Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * temporary ignored section added Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * ignores removed Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * org.nd4j.base.Preconditions -> org.nd4j.common.base.Preconditions Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * temsorflownames reverts and replace CopyHost * ignored mod op tests due to known issue Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * rsestored mod after fixing in cpp level Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * ignored random_shuffle op test due to known issue Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * increased random_uniform mean/std comparator sensitivity Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * igmored random tests due to SameDiff RNG seed is not set. Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> Co-authored-by: Alex Black <blacka101@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