| --- |
| layout: page_api |
| title: Clojure Guide |
| action: Get Started |
| action_url: /get_started |
| permalink: /api/clojure |
| tag: clojure |
| --- |
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| |
| # 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: |
| |
| ```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] |
| |
| ``` |