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shugeo 2aed216c2a
Eliminated error with resize implementation. (#418) 
* 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>
 		2020-05-27 21:15:03 +03:00
..
ADRs Add SameDiff file format ADR [WIP] (#467) 2020-05-16 22:44:31 +10:00
ci Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
contrib Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
nd4j-backends Eliminated error with resize implementation. (#418) 2020-05-27 21:15:03 +03:00
nd4j-common Fix deeplearning4j-util dependency + update remnants still using it (#428) 2020-05-04 15:54:03 +10:00
nd4j-common-tests Assorted fixes (#466) 2020-05-15 15:34:08 +10:00
nd4j-jdbc Refactor packages to fix split package issues (#411) 2020-04-29 11:19:26 +10:00
nd4j-parameter-server-parent Refactor packages to fix split package issues (#411) 2020-04-29 11:19:26 +10:00
nd4j-remote Refactor packages to fix split package issues (#411) 2020-04-29 11:19:26 +10:00
nd4j-serde Refactor packages to fix split package issues (#411) 2020-04-29 11:19:26 +10:00
nd4j-shade nd4j-jackson: exclude java.xml.stream.XML*Factory from service loader to avoid clashes with other non-shaded jackson etc on classpath 2019-12-13 21:41:28 +11:00
nd4j-tensorflow Refactor packages to fix split package issues (#411) 2020-04-29 11:19:26 +10:00
nd4j-uberjar Fix uberjar dependencies (#401) 2020-04-21 10:51:26 +10:00
.appveyor.yml Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
.codeclimate.yml Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
.gitignore Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
.travis.yml Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
LICENSE Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
README.md Various fixes (#43) 2019-11-14 19:38:20 +11:00
RaspberryPi.md Update links to eclipse repos (#252) 2019-09-10 19:09:46 +10:00
VERSION Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
buildAllversions.sh Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
buildmultiplescalaversions.sh Eclipse Migration Initial Commit 2019-06-06 15:21:15 +03:00
pom.xml Cleanup of multiple projects (#175) 2020-01-24 22:35:00 +03:00

README.md

ND4J: Scientific Computing on the JVM

Join the chat at https://gitter.im/deeplearning4j/deeplearning4j Maven Central Javadoc

ND4J is an Apache 2.0-licensed scientific computing library for the JVM. By contributing code to this repository, you agree to make your contribution available under an Apache 2.0 license.

It is meant to be used in production environments rather than as a research tool, which means routines are designed to run fast with minimum RAM requirements.

Please search for the latest version on search.maven.org.

Or use the versions displayed in: https://github.com/eclipse/deeplearning4j-examples/blob/master/pom.xml

Main Features

  • Versatile n-dimensional array object
  • Multiplatform functionality including GPUs
  • Linear algebra and signal processing functions

Specifics

  • Supports GPUs via with the CUDA backend nd4j-cuda-7.5 and Native via nd4j-native.
  • All of this is wrapped in a unifying interface.
  • The API mimics the semantics of Numpy, Matlab and scikit-learn.

Documentation

Documentation is available at deeplearning4j.org. Access the JavaDocs for more detail.

Installation

To install ND4J, there are a couple of approaches, and more information can be found on the DL4J website.

Install from Maven Central

  1. Search for nd4j in the Maven Central Repository to find the available nd4j jars.
  2. Include the appropriate dependency in your pom.xml.

Clone from the GitHub Repo

https://deeplearning4j.org/docs/latest/deeplearning4j-build-from-source

Contribute

  1. Check for open issues, or open a new issue to start a discussion around a feature idea or a bug.

  2. If you feel uncomfortable or uncertain about an issue or your changes, feel free to contact us on Gitter using the link above.

  3. Fork the repository on GitHub to start making your changes to the master branch (or branch off of it).

  4. Write a test, which shows that the bug was fixed or that the feature works as expected.

  5. Note the repository follows the Google Java style with two modifications: 120-char column wrap and 4-spaces indentation. You can format your code to this format by typing mvn formatter:format in the subproject you work on, by using the contrib/formatter.xml at the root of the repository to configure the Eclipse formatter, or by using the INtellij plugin.

  6. Send a pull request, and bug us on Gitter until it gets merged and published.