cavis/nd4j
Alex Black a25bb6a11c
Unit/integration test split + test speedup (#166)
* Add maven profile + base tests methods for integration tests

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Switch from system property to environment variable; seems more reliable in intellij

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Add nd4j-common-tests module, and common base test; cleanup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Ensure all ND4J tests extend BaseND4JTest

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Test spam reduction, import fix

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Add test logging to nd4j-aeron

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix unintended change

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Reduce sprint test log spam

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* More test spam cleanup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Significantly speed up TSNE tests

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* W2V iterator test unit/integration split

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* More NLP test speedups

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Avoid debug/verbose mode leaking between tests

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* test tweak

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Arbiter extends base DL4J test

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Arbiter test speedup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* nlp-uima test speedup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* More test speedups

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Fix ND4J base test

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Few small ND4J test speed improvements

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* DL4J tests speedup

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* More tweaks

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Even more test speedups

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* More tweaks

Signed-off-by: AlexDBlack <blacka101@gmail.com>

* Various test fixes

Signed-off-by: Alex Black <blacka101@gmail.com>

* More test fixes

Signed-off-by: Alex Black <blacka101@gmail.com>

* Add ability to specify number of threads for C++ ops in BaseDL4JTest and BaseND4JTest

Signed-off-by: Alex Black <blacka101@gmail.com>

* nd4j-aeron test profile fix for CUDA

Signed-off-by: Alex Black <blacka101@gmail.com>
2020-01-22 22:27:01 +11:00
..
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 Unit/integration test split + test speedup (#166) 2020-01-22 22:27:01 +11:00
nd4j-buffer String changes (#3) 2020-01-04 13:27:50 +03:00
nd4j-common Various fixes (#143) 2020-01-04 13:45:07 +11:00
nd4j-common-tests Unit/integration test split + test speedup (#166) 2020-01-22 22:27:01 +11:00
nd4j-context Various fixes (#143) 2020-01-04 13:45:07 +11:00
nd4j-jdbc Unit/integration test split + test speedup (#166) 2020-01-22 22:27:01 +11:00
nd4j-parameter-server-parent Unit/integration test split + test speedup (#166) 2020-01-22 22:27:01 +11:00
nd4j-remote Unit/integration test split + test speedup (#166) 2020-01-22 22:27:01 +11:00
nd4j-serde Unit/integration test split + test speedup (#166) 2020-01-22 22:27:01 +11:00
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 TF Updates (#87) 2019-12-04 17:11:03 +11:00
nd4j-uberjar Add support for CUDA 10.2 (#89) 2019-11-29 16:31:03 +11:00
.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 Unit/integration test split + test speedup (#166) 2020-01-22 22:27:01 +11:00

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.