d86dd5b131
* init in this branch Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * Lenetet Mnist workflow Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * small fix for calculations Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * for Alex to check placeholder null pointer issue Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * CNN3D workflow Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * state for launching on dxg to regenterate dl4j examples Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * SD RNN test case workflow Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * small fixes Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * checkpoint at lstmBlock: Input array 1 (x) rank must be got input with rank 2 issue Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * Fix LSTMLayer inputs order Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * lstm mismatch with c++ op issue Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * LSTMLayer config draft Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * LSTMLayer config draft v2 Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * have doubt I had to do this Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * NDRNN generated by codegen Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * LSTMLayerTestCases draft Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * minor fixes again * added LSTMLayer testcases to nd4j-tests + setted Preconditions in LSTMLayer constructors Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * added lost SDCNNtestcases Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * overrided getNumOutputs from DynamicCustomOp in LSTMLayer and reorganized LSTMLayerOutputs according to cpp op Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * finished with LSTMLayerOutputs Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * Fix MKLDNN platform checks (i.e., when MKLDNN can be used vs. not) Signed-off-by: Alex Black <blacka101@gmail.com> * Fix LSTMLayerWeights input order Signed-off-by: Alex Black <blacka101@gmail.com> * More fixes Signed-off-by: Alex Black <blacka101@gmail.com> * minor fixes Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * fixed LSTMLayer testcases Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * finished SameDiffRNNTestCase Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * finished all testcases + minor fixes Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * Multiple generation-related fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Fix multiple issues Signed-off-by: Alex Black <blacka101@gmail.com> * More fixes Signed-off-by: Alex Black <blacka101@gmail.com> * LSTM fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Regenerate ND4J namespaces and fix multiple issues Signed-off-by: Alex Black <blacka101@gmail.com> * changed SameDiffRNNTestCase Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * Small fix Signed-off-by: Alex Black <blacka101@gmail.com> * added Nd4j.getRandom().setSeed(12345) where needed Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com> * #8828 Fix ND4J profiler NaN/Inf checks when using OpContext Signed-off-by: Alex Black <blacka101@gmail.com> * #8828 Fix ND4J profiler NaN/Inf checks when using OpContext Signed-off-by: Alex Black <blacka101@gmail.com> * Tweak to weight init for SameDiff CNN test case Signed-off-by: Alex Black <blacka101@gmail.com> * Tweaks for test cases Signed-off-by: Alex Black <blacka101@gmail.com> * Ignore failing tests until fixed Signed-off-by: Alex Black <blacka101@gmail.com> * Fix Signed-off-by: Alex Black <blacka101@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