4cb87a94e8
* merge conf * merge conf * tfkeras tests * parameterized tests * rename * cuda versions * jccp versions * 'updates' * updates * rnn+mlp passing * repeat * updates * tests * Update pom.xml * Update pom.xml * rem print * cnn1d model conversion fixed * cnn1d activate fixed * cnn1d outptut shape fix * cnn1d bprop fix * cnn1d stack fix * KerasModelEndToEndTest - Remove permutes for NWC and NHWC format tests Signed-off-by: Alex Black <blacka101@gmail.com> * Fixes and update test - input shapes (NCHW -> NHWC input) Signed-off-by: Alex Black <blacka101@gmail.com> * Ignore for known bad tests Signed-off-by: Alex Black <blacka101@gmail.com> * Multiple fixes - MergeVertex, CNN1D layers, etc Signed-off-by: Alex Black <blacka101@gmail.com> * Fix issue with RNN/FF preprocessors, time distributed etc with NWC format Signed-off-by: Alex Black <blacka101@gmail.com> * LSTM NWC dropout fix Signed-off-by: Alex Black <blacka101@gmail.com> * Add sequence embedding layer NWC support (configurable output format) Signed-off-by: Alex Black <blacka101@gmail.com> * Fix expected shape in a couple of tests - NWC expected Signed-off-by: Alex Black <blacka101@gmail.com> * Fix EmbeddingSequenceLayer backprop for NWC output case + add gradient checks Signed-off-by: Alex Black <blacka101@gmail.com> * CnnToFeedForwardPreprocessor: align with Keras/TF; fix Keras reshape/flatten Signed-off-by: Alex Black <blacka101@gmail.com> * Update ConvDataFormatTests to match new reshape behaviour Signed-off-by: Alex Black <blacka101@gmail.com> * Switch hard-coded path to ResourceUtils.listClassPathfiles for TestTFKerasModelImport Signed-off-by: Alex Black <blacka101@gmail.com> * TestUtils fix Signed-off-by: Alex Black <blacka101@gmail.com> * Fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Fix JSON serde issue with data formats Signed-off-by: Alex Black <blacka101@gmail.com> * Fix for input dtype inference; fix 2 tests Signed-off-by: Alex Black <blacka101@gmail.com> * Test fixes Signed-off-by: Alex Black <blacka101@gmail.com> * #8891 Ignore for TestVertxUIMultiSession until fixed Signed-off-by: Alex Black <blacka101@gmail.com> * Restore but deprecate TensorFlowCnnToFeedForwardPreProcessor for older zoo models Signed-off-by: Alex Black <blacka101@gmail.com> * Ignore for deprecated preprocessor in DTypeTests Signed-off-by: Alex Black <blacka101@gmail.com> * Remove debug printlns Signed-off-by: Alex Black <blacka101@gmail.com> Co-authored-by: Alex Black <blacka101@gmail.com> |
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|---|---|---|
| .github | ||
| arbiter | ||
| datavec | ||
| deeplearning4j | ||
| docs | ||
| jumpy | ||
| libnd4j | ||
| nd4j | ||
| nd4s | ||
| pydatavec | ||
| pydl4j | ||
| rl4j | ||
| scalnet | ||
| .gitignore | ||
| CONTRIBUTING.md | ||
| Jenkinsfile | ||
| LICENSE | ||
| README.md | ||
| change-cuda-versions.sh | ||
| change-scala-versions.sh | ||
| perform-release.sh | ||
| pom.xml | ||
README.md
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