0a27e9f41d
* Cholesky fixed * Constructors added * MatMul wrapper * Constructor added * Missing wrappers added * Generate Linalg namespace added * Output data types * Unit tests * Added mmul * Code generation * Code generated * Build fixed * Fixing signatures * Tests fixed * Tests fixed * Added enum * Fix tests * Some fixes * Eye test fixed * SameDiff: small fix for renameVariable - also replace variable name in lossVariable list if necessary Signed-off-by: Alex Black <blacka101@gmail.com> * Some fixes * Tests fixed * Revert wrong fix * Some fixes * Some fixes * Extending base test class * Added pad * Fixed for generated signatures * Fixes due to nd4j codegen * Backwards compatibility fixes * Fixed errors in tests, reverted wrong changes * Test fixed * Added missing operations used for nd4s operators * Compilation fixed * Added meshgrid * Fixed constructors * fixes Signed-off-by: Alex Black <blacka101@gmail.com> * Fix bad commit (incorrectly reverted change from master) Signed-off-by: Alex Black <blacka101@gmail.com> * Fixed test 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