If you want to use clojure with the deeplearning4j library a clojure
wrapper for nd4j functions is needed. This wrapper implements the
idiomatic and familiar clojure matrix interface core.matrix
.
Existing clojure code using the core.matrix
can change its
implementation to nd4clj and take advatage of the performance
of nd4j and interoperability with deeplearning4j libraries.
b
The NDArray fundemental to deeplearning4j code is now wrapped
with this release. It can be unwraped by dereferencing the
public property "a" as in (.a (indarray/matrix :nd4clj [[1 2] [3 4]]))
.
Add [org.clojars.ds923y/nd4clj "0.1.1-SNAPSHOT"]
to your project.clj
file. Here is an example of usage.
(ns useit.core
(:require [nd4clj.matrix :as imp]
[clojure.core.matrix :as indarray])
(:gen-class))
(def A (indarray/array [[0 1] [2 3]]))
(def I (indarray/array [[1 0] [0 1]]))
(defn -main
[& args]
(println (indarray/mmul A I)))
This is a largely compliant implementation. The bare minimum of protocols are supported though. Most people should not have problems.
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