455a5d112d
* Input format extended * Deleted redundant code * Added weights format to conv2d config * Refactoring * dl4j base test functionality * Different tests base class per module * Check base class for dl4j-graph subproject tests * Check if test classes extend BaseDL4JTest * Use nd4j-common-tests as transient dependency * Enums and tests added * Added codegenerated methods * Use namespace methods * Replace DifferentialFunctionFactory with codegenerated classes * Fixed linspace * Namespaces regenerated * Namespaces used instead of factory * Regenerated base classes * Input format extended * Added weights format to conv2d config * Refactoring * dl4j base test functionality * Different tests base class per module * Check base class for dl4j-graph subproject tests * Check if test classes extend BaseDL4JTest * Use nd4j-common-tests as transient dependency * Enums and tests added * Added codegenerated methods * Use namespace methods * Replace DifferentialFunctionFactory with codegenerated classes * Fixed linspace * Namespaces regenerated * Regenerated base classes * Regenerated namespaces * Generate nd4j namespaces * INDArrays accepting constructors * Generated some ops * Some fixes * SameDiff ops regenerated * Regenerated nd4j ops * externalErrors moved * Compilation fixes * SquaredDifference - strict number of args * Deprecated code cleanup. Proper base class for tests. * Extend test classes with BaseND4JTest * Extend test classes with BaseDL4JTest * Legacy code * DL4J cleanup * Exclude test utils from base class check * Tests fixed * Arbiter tests fix * Test dependency scope fix + pom.xml formatting Signed-off-by: Alex Black <blacka101@gmail.com> * Significant number of fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Another round of fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Another round of fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Few additional fixes Signed-off-by: Alex Black <blacka101@gmail.com> * DataVec missing test scope dependencies 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