211c0df76f
* libnd4j: RgbToGrayscale op #8536 - raw implementation in user branch, need checks for integration and adding other orders Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: RgbToGrayscale op #8536 next step of merging images Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: RgbToGrayscale op #8536, Revert merge of hsv_to_rgb and rgb_to_hsv as cause conflicts in naming need refactoring before merge, implementation of rbg_to_grs added * libnd4j: RgbToGrayscale op #8536 imlementation and conflict resolve * libnd4j: RgbToGrayscale op #8536 merged operations with images into image, renamed methods and files * libnd4j: RgbToGrayscale op #8536 added test for rgbToGrayScale, need clarification and fixed tests case run Signed-off-by: Oleg <oleg.semeniv@gmail.com> * libnd4j: RgbToGrayscale op #8536 bug fixing and need review * libnd4j: RgbToGrayscale op #8536 some additional corrections after review Signed-off-by: Oleg <oleg.semeniv@gmail.com> * - minor corrections in rgbToGrs test1 Signed-off-by: Yurii <iuriish@yahoo.com> * libnd4j: RgbToGrayscale op #8536, corrected tests and rbf_to_grs, fixed problems, refactoring, need review * libnd4j: RgbToGrayscale op #8536 fix for 'f' order in rgbToGrs * libnd4j: RgbToGrayscale op #8536 fixed several bugs with dimC, test case refactoring and improve Signed-off-by: Oleg <oleg.semeniv@gmail.com> * - add cuda kernel for rgbToGrs op Signed-off-by: Yurii <iuriish@yahoo.com> * - fix linkage errors Signed-off-by: Yurii <iuriish@yahoo.com> Co-authored-by: Yurii Shyrma <iuriish@yahoo.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/gym-java-client
- 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