2aed216c2a
* Eliminated error with resize implementation. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored resize caller implementation. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored image.resize op helper. Signed-off-by: shugeo <sgazeos@gmail.com> * Added dumb implementations for missed resize methods. Signed-off-by: shugeo <sgazeos@gmail.com> * Added resize_images op. Refactored image_resize op. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored matrix_band_part op and test. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored resize_images op to comply with preserve_aspect_ratio flag properly. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored resize_images and tests for resizeArea method. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored resize methods and test. Signed-off-by: shugeo <sgazeos@gmail.com> * Added new methods for TF2 resize op. Signed-off-by: shugeo <sgazeos@gmail.com> * Portion of resize algorithms from TF2 Signed-off-by: shugeo <sgazeos@gmail.com> * Added routine to process resize with given algorithm. Signed-off-by: shugeo <sgazeos@gmail.com> * Added new image resize via scale and translate process helper. Signed-off-by: shugeo <sgazeos@gmail.com> * Cpu implementation for V2 image resize operation helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Added implementation for lancos5 algorithm of resize and test. Signed-off-by: shugeo <sgazeos@gmail.com> * Added prints for span computing. Signed-off-by: shugeo <sgazeos@gmail.com> * The first working implementation and tests for lancos5 resize. Signed-off-by: shugeo <sgazeos@gmail.com> * Eliminated waste prints. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored image_resize op and tests." Signed-off-by: shugeo <sgazeos@gmail.com> * Lanczos3 resize implementation and tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Implemented bicubic resize algorithm and tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Added a couple of tests and cosmetic changes with image resize helper. Signed-off-by: shugeo <sgazeos@gmail.com> * Added bilinear implementation for image resize. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored bicubic algorithm and also implement area and neighbor algoritms for image resize on cpu arch. Signed-off-by: shugeo <sgazeos@gmail.com> * Added a couple of tests for nearest neighbor and area resize. Signed-off-by: shugeo <sgazeos@gmail.com> * Cosmetic changes for cpu implementation and added cuda implementation for resize methods. Signed-off-by: shugeo <sgazeos@gmail.com> * Separated cuda implementation of v2 image resize. Signed-off-by: shugeo <sgazeos@gmail.com> * Added kernels for span calculation and span gathering with new image resize cuda implementation. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored cuda implementation of image resize kernels. Signed-off-by: shugeo <sgazeos@gmail.com> * Finished the first working implementation of image resize op and tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed resize_images and image_resize ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored shape construction and output validation. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed test to properly initalized with float. Signed-off-by: shugeo <sgazeos@gmail.com> * Added 3D input opotunity for resize ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed test for resize_images op. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed test and call for resize_images op. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored image_resize op output data type handling for nearest neighbors method and tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed issue with wrong resize method. Signed-off-by: shugeo <sgazeos@gmail.com> * Added checkup for wrong resize methods for resize ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored resize methods and test. Signed-off-by: shugeo <sgazeos@gmail.com> * Added output data type validation for given resize method. Signed-off-by: shugeo <sgazeos@gmail.com> * - ResizeMethod rearranged in order to match C++ side - minor test fix Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Refactored resize_images op. Signed-off-by: shugeo <sgazeos@gmail.com> Co-authored-by: raver119@gmail.com <raver119@gmail.com> |
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| .github | ||
| arbiter | ||
| datavec | ||
| deeplearning4j | ||
| jumpy | ||
| libnd4j | ||
| nd4j | ||
| nd4s | ||
| pydatavec | ||
| pydl4j | ||
| python4j | ||
| 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