f6b3032def
* wrapper * builtins * context mgr * direct place * ret all var * call fix * fix ndarray serde * jobs * try-with gil management * cleanup * exec tests passing * list tests * transforms test passing * all pass * headers * dict fixes+test * python path * bool isinstance * job tests * nits * transform fix+test * transform tests * leak fixes * more mem leak fixes * more fixes * nits for adam * PythonJob lombok builder * checked exceptions * more nits * small leak fix * more nits * pythonexceptions * fix jvm crash when bad python code * Exception->PythonException * Add support for boolean types in arrow records and ability to cast from float, double to int for TypeConversion (#178) * nits for alex * update tests * fix test * all pass * refacc * rem old code * dtypes * bytes working+exception pass through+cleanup (#209) * more bytes tests * header * rem dummy test * rem bad import * alex nits + refacc * Small error fixes (wrong type in msg) + minor formatting Signed-off-by: AlexDBlack <blacka101@gmail.com> * use actual python type names (dictionary->dict, boolean->bool) Co-authored-by: Shams Ul Azeem <shamsazeem20@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