cavis/nd4j
Andrii T 58b11bfecc
Map C++ ops to Java (#392)
* MergeMaxIndex, ReverseBp, Tri, Triu and TriuBp added

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Upsamling3d draft

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* minor fix (upsampling3dBp inputDatatype.size=2)

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* polished testcases

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* matching of Upsampling3d input format according to cpp iArg

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* ops generated from codegen

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* requested changes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* added super() for Triu

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* everything passes except TriuOp

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Tri op dtype arg (output datatype config support) + default float32

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

* Small fixes

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

* temporary commit with manually edited sd/nd ops

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Cannot use 'val' here because initializer expression does not have a representable type: Type cannot be resolved

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* all tests passed

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* few requested changes

Signed-off-by: Andrii Tuzhykov <andrewtuzhykov@gmail.com>

* Small fixes

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

* Ignore reverse_bp test due to logged issue

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

* Fix reverse op

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

* Fix MergeMaxIndex dtype -> iarg

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

Co-authored-by: Alex Black <blacka101@gmail.com>
2020-04-25 23:56:02 +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 Map C++ ops to Java (#392) 2020-04-25 23:56:02 +10:00
nd4j-common #8503 Add timeouts for downloads (test resources, Downloader utility) (#406) 2020-04-23 08:39:13 +10:00
nd4j-common-tests Increase default timeouts [WIP] (#407) 2020-04-23 10:46:42 +10:00
nd4j-jdbc Dependency version upgrades + small SameDiff fix (#405) 2020-04-23 15:38:42 +10:00
nd4j-parameter-server-parent Fixing issues from Sonar report (#391) 2020-04-23 08:36:49 +10:00
nd4j-remote Dependency version upgrades + small SameDiff fix (#405) 2020-04-23 15:38:42 +10:00
nd4j-serde Fixing issues from Sonar report (#391) 2020-04-23 08:36:49 +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 Fixing issues from Sonar report (#391) 2020-04-23 08:36:49 +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.