Clojure Guide

Clojure Guide ›
Clojure Tutorials ›
Clojure API Reference ›

MXNet - Clojure API

MXNet supports the Clojure programming language. The MXNet Clojure package brings flexible and efficient GPU computing and state-of-art deep learning to Clojure. It enables you to write seamless tensor/matrix computation with multiple GPUs in Clojure. It also lets you construct and customize the state-of-art deep learning models in Clojure, and apply them to tasks, such as image classification and data science challenges.

Tensor and Matrix Computations

You can perform tensor or matrix computation in pure Clojure:

(def arr (ndarray/ones [2 3]))

arr ;=> #object[org.apache.mxnet.NDArray 0x597d72e "org.apache.mxnet.NDArray@e35c3ba9"]

(ndarray/shape-vec arr) ;=>  [2 3]

(-> (ndarray/* arr 2)
    (ndarray/->vec)) ;=> [2.0 2.0 2.0 2.0 2.0 2.0]

(ndarray/shape-vec (ndarray/* arr 2)) ;=> [2 3]