0613485654
* Added declarations for decode/encode_bitmap ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Added implementation for bitmap encoding/decoding ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Added helpers for encode/decode bitmap ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored encodingBitmap helper. Signed-off-by: shugeo <sgazeos@gmail.com> * threshold encode/decode skeleton * helper skeleton * minor import fix * encoder shape fn & op impl * thresholdEncode cpu impl Signed-off-by: raver119@gmail.com <raver119@gmail.com> * thresholdDecode cpu impl Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Only cosmetical changes. Signed-off-by: shugeo <sgazeos@gmail.com> * placeholder Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Added cuda implementation for bitmap decode helper. Signed-off-by: shugeo <sgazeos@gmail.com> * cuda thresholdEstimate Signed-off-by: raver119@gmail.com <raver119@gmail.com> * cuda thresholdDecode Signed-off-by: raver119@gmail.com <raver119@gmail.com> * next step Signed-off-by: raver119@gmail.com <raver119@gmail.com> * - nano cmakelist update (get rid of Clion section) - fixed forgotten throw in AtomicTests Signed-off-by: raver119@gmail.com <raver119@gmail.com> * thesholdEncode cuda impl Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Added tests for bitmap encoding/decoding ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed tests for encode/decode bitmaps. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored decode/encode helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed crashes with bitmap decode/encode helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * bitmap encode/decode CPU Signed-off-by: raver119@gmail.com <raver119@gmail.com> * bitmap encode/decode CUDA Signed-off-by: raver119@gmail.com <raver119@gmail.com> * C API removed for threshold/bitmap encode Signed-off-by: raver119@gmail.com <raver119@gmail.com> * EncodeBitmap/DecodeBitmap Java side Signed-off-by: raver119@gmail.com <raver119@gmail.com> * EncodeThreshold/DecodeThreshold Java side Signed-off-by: raver119@gmail.com <raver119@gmail.com> * EncodeThreshold/DecodeThreshold Java side Signed-off-by: raver119@gmail.com <raver119@gmail.com> * few more tests for threshold encoding Signed-off-by: raver119@gmail.com <raver119@gmail.com> * minor test tweak Signed-off-by: raver119@gmail.com <raver119@gmail.com> * two special tests Signed-off-by: raver119@gmail.com <raver119@gmail.com> * encodeBitmap CPU fix Signed-off-by: raver119@gmail.com <raver119@gmail.com> * parallel_long/parallel_double proper spans fix Signed-off-by: raver119@gmail.com <raver119@gmail.com> * encodeThreshold CUDA fix Signed-off-by: raver119@gmail.com <raver119@gmail.com> * nano fix Signed-off-by: raver119@gmail.com <raver119@gmail.com> * grid tweaks Signed-off-by: raver119@gmail.com <raver119@gmail.com> * RTX adaptation for thresholdEncode Signed-off-by: raver119 <raver119@gmail.com> * don't allow threshold encoding for length < 2 Signed-off-by: raver119@gmail.com <raver119@gmail.com> * get rid of NDArrayCompressor in EncodingHandler Signed-off-by: raver119@gmail.com <raver119@gmail.com> * one more minor update of EncodingHandler Signed-off-by: raver119@gmail.com <raver119@gmail.com> * one more minor tweak of EncodingHandler Signed-off-by: raver119@gmail.com <raver119@gmail.com> * - matmul allows integer data types use - EncodingHandler boundary default value - few tests for integer matmul Signed-off-by: raver119@gmail.com <raver119@gmail.com> * minor fix of CUDA bitmap encode Signed-off-by: raver119@gmail.com <raver119@gmail.com> * boundary changed to integer everywhere Signed-off-by: raver119@gmail.com <raver119@gmail.com> * boundary changed to integer everywhere Signed-off-by: raver119@gmail.com <raver119@gmail.com> * re-enable CUDA deallocator Signed-off-by: raver119@gmail.com <raver119@gmail.com> * threshold encoder fix for systems without omp Signed-off-by: raver119@gmail.com <raver119@gmail.com> * - encode_threshold now requires non-negative boundary - minor tweak in EncodingHandler Signed-off-by: raver119@gmail.com <raver119@gmail.com> * restore parallelism in decode_bitmap Signed-off-by: raver119@gmail.com <raver119@gmail.com> * fall back to omp for encode_bitmap cpu Signed-off-by: raver119@gmail.com <raver119@gmail.com> * single time casts Signed-off-by: raver119@gmail.com <raver119@gmail.com> * - additional test for encode_threshold - sync buffers to device before calling for shape function Signed-off-by: raver119@gmail.com <raver119@gmail.com> Co-authored-by: shugeo <sgazeos@gmail.com> |
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|---|---|---|
| .github | ||
| arbiter | ||
| datavec | ||
| deeplearning4j | ||
| 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