da1944e8e1
* Added implementation files for image_resize and resize_bicubic ops. * Image resize and image.resize_bicubic ops implementation. Initial revision. * Minor fix * Some TF imports disabled. * Finished with infrastructure development for image.resize_bilinear op and image_resizo op implementation. * Refactored resize methods. * Added processing for Mitchelcubic algorithm. * adjust_contrast * Small fix for TF import expected value loading when variable name starts with the test name Signed-off-by: AlexDBlack <blacka101@gmail.com> * Tests * Tests added. * Removed tf names absent in mapping. * Some fixes. * Small fixes * Minor change * Some failing tests. * Disable failed test * Ignore some tests * Fix import class mapping Signed-off-by: AlexDBlack <blacka101@gmail.com> * Fix float property mapping (flatbuffers) Signed-off-by: AlexDBlack <blacka101@gmail.com> * Override equality function for model 'dropout' Signed-off-by: AlexDBlack <blacka101@gmail.com> * Fail tests * Failed tests ignored temporarily. * Minor fixes * Small fix * Conflict resolved * Default implementations of tensorflowName and onnxName
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