| <!DOCTYPE html> |
| <html lang=" en"><head> |
| <meta charset="utf-8"> |
| <meta http-equiv="X-UA-Compatible" content="IE=edge"> |
| <meta name="viewport" content="width=device-width, initial-scale=1"> |
| <link href="https://raw.githubusercontent.com/dmlc/web-data/master/mxnet/image/mxnet-icon.png" rel="icon" type="image/png"><!-- Begin Jekyll SEO tag v2.6.1 --> |
| <title>NDArray | Apache MXNet</title> |
| <meta name="generator" content="Jekyll v4.0.0" /> |
| <meta property="og:title" content="NDArray" /> |
| <meta property="og:locale" content="en_US" /> |
| <meta name="description" content="A flexible and efficient library for deep learning." /> |
| <meta property="og:description" content="A flexible and efficient library for deep learning." /> |
| <link rel="canonical" href="https://mxnet.apache.org/versions/master/api/clojure/docs/tutorials/ndarray" /> |
| <meta property="og:url" content="https://mxnet.apache.org/versions/master/api/clojure/docs/tutorials/ndarray" /> |
| <meta property="og:site_name" content="Apache MXNet" /> |
| <script type="application/ld+json"> |
| {"url":"https://mxnet.apache.org/versions/master/api/clojure/docs/tutorials/ndarray","headline":"NDArray","description":"A flexible and efficient library for deep learning.","@type":"WebPage","@context":"https://schema.org"}</script> |
| <!-- End Jekyll SEO tag --> |
| <script src="https://medium-widget.pixelpoint.io/widget.js"></script> |
| <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/docsearch.js@2/dist/cdn/docsearch.min.css" /> |
| <link rel="stylesheet" href="/versions/master/assets/main.css"><link type="application/atom+xml" rel="alternate" href="https://mxnet.apache.org/versions/master/feed.xml" title="Apache MXNet" /><script> |
| if(!(window.doNotTrack === "1" || navigator.doNotTrack === "1" || navigator.doNotTrack === "yes" || navigator.msDoNotTrack === "1")) { |
| (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){ |
| (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o), |
| m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) |
| })(window,document,'script','https://www.google-analytics.com/analytics.js','ga'); |
| |
| ga('create', 'UA-96378503-1', 'auto'); |
| ga('send', 'pageview'); |
| } |
| </script> |
| |
| <script src="/versions/master/assets/js/jquery-3.3.1.min.js"></script><script src="https://cdn.jsdelivr.net/npm/docsearch.js@2/dist/cdn/docsearch.min.js" defer></script> |
| <script src="/versions/master/assets/js/globalSearch.js" defer></script> |
| <script src="/versions/master/assets/js/clipboard.js" defer></script> |
| <script src="/versions/master/assets/js/copycode.js" defer></script></head> |
| <body><header class="site-header" role="banner"> |
| |
| <script> |
| $(document).ready(function () { |
| |
| // HEADER OPACITY LOGIC |
| |
| function opacity_header() { |
| var value = "rgba(4,140,204," + ($(window).scrollTop() / 300 + 0.4) + ")" |
| $('.site-header').css("background-color", value) |
| } |
| |
| $(window).scroll(function () { |
| opacity_header() |
| }) |
| opacity_header(); |
| |
| // MENU SELECTOR LOGIC |
| $('.page-link').each( function () { |
| if (window.location.href.includes(this.href)) { |
| $(this).addClass("page-current"); |
| } |
| }); |
| }) |
| </script> |
| <div class="wrapper"> |
| <a class="site-title" rel="author" href="/versions/master/"><img |
| src="/versions/master/assets/img/mxnet_logo.png" class="site-header-logo"></a> |
| <nav class="site-nav"> |
| <input type="checkbox" id="nav-trigger" class="nav-trigger"/> |
| <label for="nav-trigger"> |
| <span class="menu-icon"> |
| <svg viewBox="0 0 18 15" width="18px" height="15px"> |
| <path d="M18,1.484c0,0.82-0.665,1.484-1.484,1.484H1.484C0.665,2.969,0,2.304,0,1.484l0,0C0,0.665,0.665,0,1.484,0 h15.032C17.335,0,18,0.665,18,1.484L18,1.484z M18,7.516C18,8.335,17.335,9,16.516,9H1.484C0.665,9,0,8.335,0,7.516l0,0 c0-0.82,0.665-1.484,1.484-1.484h15.032C17.335,6.031,18,6.696,18,7.516L18,7.516z M18,13.516C18,14.335,17.335,15,16.516,15H1.484 C0.665,15,0,14.335,0,13.516l0,0c0-0.82,0.665-1.483,1.484-1.483h15.032C17.335,12.031,18,12.695,18,13.516L18,13.516z"/> |
| </svg> |
| </span> |
| </label> |
| <div class="gs-search-border"> |
| <div id="gs-search-icon"></div> |
| <form id="global-search-form"> |
| <input id="global-search" type="text" title="Search" placeholder="Search" /> |
| <div id="global-search-dropdown-container"> |
| <button class="gs-current-version btn" type="button" data-toggle="dropdown"> |
| <span id="gs-current-version-label">master</span> |
| <svg class="gs-dropdown-caret" viewBox="0 0 32 32" class="icon icon-caret-bottom" aria-hidden="true"> |
| <path class="dropdown-caret-path" d="M24 11.305l-7.997 11.39L8 11.305z"></path> |
| </svg> |
| </button> |
| <ul class="gs-opt-group gs-version-dropdown"> |
| |
| |
| <li class="gs-opt gs-versions active">master</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.7.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.6.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.5.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.4.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.3.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.2.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.1.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.0.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">0.12.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">0.11.0</li> |
| |
| |
| </ul> |
| </div> |
| <span id="global-search-close">x</span> |
| </form> |
| </div> |
| <div class="trigger"> |
| <div id="global-search-mobile-border"> |
| <div id="gs-search-icon-mobile"></div> |
| <input id="global-search-mobile" placeholder="Search..." type="text"/> |
| <div id="global-search-dropdown-container-mobile"> |
| <button class="gs-current-version-mobile btn" type="button" data-toggle="dropdown"> |
| <svg class="gs-dropdown-caret" viewBox="0 0 32 32" class="icon icon-caret-bottom" aria-hidden="true"> |
| <path class="dropdown-caret-path" d="M24 11.305l-7.997 11.39L8 11.305z"></path> |
| </svg> |
| </button> |
| <ul class="gs-opt-group gs-version-dropdown-mobile"> |
| |
| |
| <li class="gs-opt gs-versions active">master</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.7.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.6.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.5.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.4.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.3.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.2.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.1.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">1.0.0</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">0.12.1</li> |
| |
| |
| |
| <li class="gs-opt gs-versions">0.11.0</li> |
| |
| |
| </ul> |
| </div> |
| </div> |
| <a class="page-link" href="/versions/master/get_started">Get Started</a> |
| <a class="page-link" href="/versions/master/blog">Blog</a> |
| <a class="page-link" href="/versions/master/features">Features</a> |
| <a class="page-link" href="/versions/master/ecosystem">Ecosystem</a> |
| <a class="page-link" href="/versions/master/api">Docs & Tutorials</a> |
| <a class="page-link" href="https://github.com/apache/incubator-mxnet">GitHub</a> |
| <div class="dropdown"> |
| <span class="dropdown-header">master |
| <svg class="dropdown-caret" viewBox="0 0 32 32" class="icon icon-caret-bottom" aria-hidden="true"><path class="dropdown-caret-path" d="M24 11.305l-7.997 11.39L8 11.305z"></path></svg> |
| </span> |
| <div class="dropdown-content"> |
| |
| |
| <a class="dropdown-option-active" href="/">master</a> |
| |
| |
| |
| <a href="/versions/1.7.0/">1.7.0</a> |
| |
| |
| |
| <a href="/versions/1.6.0/">1.6.0</a> |
| |
| |
| |
| <a href="/versions/1.5.0/">1.5.0</a> |
| |
| |
| |
| <a href="/versions/1.4.1/">1.4.1</a> |
| |
| |
| |
| <a href="/versions/1.3.1/">1.3.1</a> |
| |
| |
| |
| <a href="/versions/1.2.1/">1.2.1</a> |
| |
| |
| |
| <a href="/versions/1.1.0/">1.1.0</a> |
| |
| |
| |
| <a href="/versions/1.0.0/">1.0.0</a> |
| |
| |
| |
| <a href="/versions/0.12.1/">0.12.1</a> |
| |
| |
| |
| <a href="/versions/0.11.0/">0.11.0</a> |
| |
| |
| </div> |
| </div> |
| </div> |
| </nav> |
| </div> |
| </header> |
| <main class="page-content" aria-label="Content"> |
| <script> |
| |
| </script> |
| <article class="post"> |
| |
| <header class="post-header wrapper"> |
| <h1 class="post-title">NDArray</h1> |
| <h3></h3></header> |
| |
| <div class="post-content"> |
| <div class="wrapper"> |
| <div class="row"> |
| <div class="col-3 docs-side-bar"> |
| |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| |
| |
| |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| |
| <!-- resource-p --> |
| <!-- page --> |
| </ul> |
| </div> |
| <div class="col-9"> |
| <!--- Licensed to the Apache Software Foundation (ASF) under one --> |
| <!--- or more contributor license agreements. See the NOTICE file --> |
| <!--- distributed with this work for additional information --> |
| <!--- regarding copyright ownership. The ASF licenses this file --> |
| <!--- to you under the Apache License, Version 2.0 (the --> |
| <!--- "License"); you may not use this file except in compliance --> |
| <!--- with the License. You may obtain a copy of the License at --> |
| |
| <!--- http://www.apache.org/licenses/LICENSE-2.0 --> |
| |
| <!--- Unless required by applicable law or agreed to in writing, --> |
| <!--- software distributed under the License is distributed on an --> |
| <!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY --> |
| <!--- KIND, either express or implied. See the License for the --> |
| <!--- specific language governing permissions and limitations --> |
| <!--- under the License. --> |
| |
| <h1 id="ndarray-api">NDArray API</h1> |
| |
| <p>The NDArray API contains tensor operations similar to <code class="highlighter-rouge">numpy.ndarray</code>. The syntax is also similar, except for some additional calls for dealing with I/O and multiple devices.</p> |
| |
| <p>Topics:</p> |
| |
| <ul> |
| <li><a href="#create-ndarray">Create NDArray</a></li> |
| <li><a href="#ndarray-operations">NDArray Operations</a></li> |
| <li><a href="/versions/master/api/clojure/docs/api/org.apache.clojure-mxnet.ndarray-api.html">NDArray API Reference</a></li> |
| </ul> |
| |
| <p>To follow along with this documentation, you can use this namespace with the needed requires:</p> |
| |
| <div class="language-clojure highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="p">(</span><span class="nf">ns</span><span class="w"> </span><span class="n">docs.ndarray</span><span class="w"> |
| </span><span class="p">(</span><span class="no">:require</span><span class="w"> </span><span class="p">[</span><span class="n">org.apache.clojure-mxnet.ndarray</span><span class="w"> </span><span class="no">:as</span><span class="w"> </span><span class="n">ndarray</span><span class="p">]</span><span class="w"> |
| </span><span class="p">[</span><span class="n">org.apache.clojure-mxnet.context</span><span class="w"> </span><span class="no">:as</span><span class="w"> </span><span class="n">context</span><span class="p">]))</span><span class="w"> |
| </span></code></pre></div></div> |
| |
| <h2 id="create-ndarray">Create NDArray</h2> |
| |
| <p>Create <code class="highlighter-rouge">mxnet.ndarray</code> as follows:</p> |
| |
| <div class="language-clojure highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="w"> |
| </span><span class="p">(</span><span class="k">def</span><span class="w"> </span><span class="n">a</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/zeros</span><span class="w"> </span><span class="p">[</span><span class="mi">100</span><span class="w"> </span><span class="mi">50</span><span class="p">]))</span><span class="w"> </span><span class="c1">;;all zero arrray of dimension 100 x 50</span><span class="w"> |
| </span><span class="p">(</span><span class="k">def</span><span class="w"> </span><span class="n">b</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/ones</span><span class="w"> </span><span class="p">[</span><span class="mi">256</span><span class="w"> </span><span class="mi">32</span><span class="w"> </span><span class="mi">128</span><span class="w"> </span><span class="mi">1</span><span class="p">]))</span><span class="w"> </span><span class="c1">;; all one array of dimension</span><span class="w"> |
| </span><span class="p">(</span><span class="k">def</span><span class="w"> </span><span class="n">c</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/array</span><span class="w"> </span><span class="p">[</span><span class="mi">1</span><span class="w"> </span><span class="mi">2</span><span class="w"> </span><span class="mi">3</span><span class="w"> </span><span class="mi">4</span><span class="w"> </span><span class="mi">5</span><span class="w"> </span><span class="mi">6</span><span class="p">]</span><span class="w"> </span><span class="p">[</span><span class="mi">2</span><span class="w"> </span><span class="mi">3</span><span class="p">]))</span><span class="w"> </span><span class="c1">;; array with contents of a shape 2 x 3</span><span class="w"> |
| </span></code></pre></div></div> |
| |
| <p>There are also ways to convert a NDArray to a vec or get the shape or the NDArray as an object or vec as follows:</p> |
| |
| <div class="language-clojure highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="p">(</span><span class="nf">ndarray/->vec</span><span class="w"> </span><span class="n">c</span><span class="p">)</span><span class="w"> </span><span class="c1">;=> [1.0 2.0 3.0 4.0 5.0 6.0]</span><span class="w"> |
| </span><span class="p">(</span><span class="nf">ndarray/shape</span><span class="w"> </span><span class="n">c</span><span class="p">)</span><span class="w"> </span><span class="c1">;=> #object[org.apache.mxnet.Shape 0x583c865 "(2,3)"]</span><span class="w"> |
| </span><span class="p">(</span><span class="nf">ndarray/shape-vec</span><span class="w"> </span><span class="n">c</span><span class="p">)</span><span class="w"> </span><span class="c1">;=> [2 3]</span><span class="w"> |
| </span></code></pre></div></div> |
| |
| <h2 id="ndarray-operations">NDArray Operations</h2> |
| |
| <p>There are some basic NDArray operations, like arithmetic and slice operations.</p> |
| |
| <h3 id="arithmetic-operations">Arithmetic Operations</h3> |
| |
| <div class="language-clojure highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="p">(</span><span class="k">def</span><span class="w"> </span><span class="n">a</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/ones</span><span class="w"> </span><span class="p">[</span><span class="mi">1</span><span class="w"> </span><span class="mi">5</span><span class="p">]))</span><span class="w"> |
| </span><span class="p">(</span><span class="k">def</span><span class="w"> </span><span class="n">b</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/ones</span><span class="w"> </span><span class="p">[</span><span class="mi">1</span><span class="w"> </span><span class="mi">5</span><span class="p">]))</span><span class="w"> |
| </span><span class="p">(</span><span class="nb">-></span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/+</span><span class="w"> </span><span class="n">a</span><span class="w"> </span><span class="n">b</span><span class="p">)</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/->vec</span><span class="p">))</span><span class="w"> </span><span class="c1">;=> [2.0 2.0 2.0 2.0 2.0]</span><span class="w"> |
| |
| </span><span class="c1">;; original ndarrays are unchanged</span><span class="w"> |
| </span><span class="p">(</span><span class="nf">ndarray/->vec</span><span class="w"> </span><span class="n">a</span><span class="p">)</span><span class="w"> </span><span class="c1">;=> [1.0 1.0 1.0 1.0 1.0]</span><span class="w"> |
| </span><span class="p">(</span><span class="nf">ndarray/->vec</span><span class="w"> </span><span class="n">b</span><span class="p">)</span><span class="w"> </span><span class="c1">;=> [1.0 1.0 1.0 1.0 1.0]</span><span class="w"> |
| |
| </span><span class="c1">;;inplace operators</span><span class="w"> |
| </span><span class="p">(</span><span class="nf">ndarray/+=</span><span class="w"> </span><span class="n">a</span><span class="w"> </span><span class="n">b</span><span class="p">)</span><span class="w"> |
| </span><span class="p">(</span><span class="nf">ndarray/->vec</span><span class="w"> </span><span class="n">a</span><span class="p">)</span><span class="w"> </span><span class="c1">;=> [2.0 2.0 2.0 2.0 2.0]</span><span class="w"> |
| </span></code></pre></div></div> |
| |
| <p>Other arithmetic operations are similar.</p> |
| |
| <h3 id="slice-operations">Slice Operations</h3> |
| |
| <div class="language-clojure highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="p">(</span><span class="k">def</span><span class="w"> </span><span class="n">a</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/array</span><span class="w"> </span><span class="p">[</span><span class="mi">1</span><span class="w"> </span><span class="mi">2</span><span class="w"> </span><span class="mi">3</span><span class="w"> </span><span class="mi">4</span><span class="w"> </span><span class="mi">5</span><span class="w"> </span><span class="mi">6</span><span class="p">]</span><span class="w"> </span><span class="p">[</span><span class="mi">3</span><span class="w"> </span><span class="mi">2</span><span class="p">]))</span><span class="w"> |
| </span><span class="p">(</span><span class="k">def</span><span class="w"> </span><span class="n">a1</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/slice</span><span class="w"> </span><span class="n">a</span><span class="w"> </span><span class="mi">1</span><span class="p">))</span><span class="w"> |
| </span><span class="p">(</span><span class="nf">ndarray/shape-vec</span><span class="w"> </span><span class="n">a1</span><span class="p">)</span><span class="w"> </span><span class="c1">;=> [1 2]</span><span class="w"> |
| </span><span class="p">(</span><span class="nf">ndarray/->vec</span><span class="w"> </span><span class="n">a1</span><span class="p">)</span><span class="w"> </span><span class="c1">;=> [3.0 4.0]</span><span class="w"> |
| |
| </span><span class="p">(</span><span class="k">def</span><span class="w"> </span><span class="n">a2</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/slice</span><span class="w"> </span><span class="n">a</span><span class="w"> </span><span class="mi">1</span><span class="w"> </span><span class="mi">3</span><span class="p">))</span><span class="w"> |
| </span><span class="p">(</span><span class="nf">ndarray/shape-vec</span><span class="w"> </span><span class="n">a2</span><span class="p">)</span><span class="w"> </span><span class="c1">;=>[2 2]</span><span class="w"> |
| </span><span class="p">(</span><span class="nf">ndarray/->vec</span><span class="w"> </span><span class="n">a2</span><span class="p">)</span><span class="w"> </span><span class="c1">;=> [3.0 4.0 5.0 6.0]</span><span class="w"> |
| </span></code></pre></div></div> |
| |
| <h3 id="dot-product">Dot Product</h3> |
| |
| <div class="language-clojure highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="p">(</span><span class="k">def</span><span class="w"> </span><span class="n">arr1</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/array</span><span class="w"> </span><span class="p">[</span><span class="mi">1</span><span class="w"> </span><span class="mi">2</span><span class="p">]</span><span class="w"> </span><span class="p">[</span><span class="mi">1</span><span class="w"> </span><span class="mi">2</span><span class="p">]))</span><span class="w"> |
| </span><span class="p">(</span><span class="k">def</span><span class="w"> </span><span class="n">arr2</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/array</span><span class="w"> </span><span class="p">[</span><span class="mi">3</span><span class="w"> </span><span class="mi">4</span><span class="p">]</span><span class="w"> </span><span class="p">[</span><span class="mi">2</span><span class="w"> </span><span class="mi">1</span><span class="p">]))</span><span class="w"> |
| </span><span class="p">(</span><span class="k">def</span><span class="w"> </span><span class="n">res</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/dot</span><span class="w"> </span><span class="n">arr1</span><span class="w"> </span><span class="n">arr2</span><span class="p">))</span><span class="w"> |
| </span><span class="p">(</span><span class="nf">ndarray/shape-vec</span><span class="w"> </span><span class="n">res</span><span class="p">)</span><span class="w"> </span><span class="c1">;=> [1 1]</span><span class="w"> |
| </span><span class="p">(</span><span class="nf">ndarray/->vec</span><span class="w"> </span><span class="n">res</span><span class="p">)</span><span class="w"> </span><span class="c1">;=> [11.0]</span><span class="w"> |
| </span></code></pre></div></div> |
| |
| <h3 id="save-and-load-ndarray">Save and Load NDArray</h3> |
| |
| <p>You can use MXNet functions to save and load a list or dictionary of NDArrays from file systems, as follows:</p> |
| |
| <div class="language-clojure highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="p">(</span><span class="nf">ndarray/save</span><span class="w"> </span><span class="s">"filename"</span><span class="w"> </span><span class="p">{</span><span class="s">"arr1"</span><span class="w"> </span><span class="n">arr1</span><span class="w"> </span><span class="s">"arr2"</span><span class="w"> </span><span class="n">arr2</span><span class="p">})</span><span class="w"> |
| </span><span class="c1">;; you can also do "s3://path" or "hdfs"</span><span class="w"> |
| </span></code></pre></div></div> |
| |
| <p>To load:</p> |
| |
| <div class="language-clojure highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="p">(</span><span class="k">def</span><span class="w"> </span><span class="n">from-file</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/load</span><span class="w"> </span><span class="s">"filename"</span><span class="p">))</span><span class="w"> |
| </span><span class="n">from-file</span><span class="w"> |
| </span><span class="c1">;=>{"arr1" #object["org.apache.mxnet.NDArray@43d85753"], "arr2" #object["org.apache.mxnet.NDArray@5c93def4"]}</span><span class="w"> |
| </span></code></pre></div></div> |
| |
| <p>The good thing about using the <code class="highlighter-rouge">save</code> and <code class="highlighter-rouge">load</code> interface is that you can use the format across all <code class="highlighter-rouge">mxnet</code> language bindings. They also already support Amazon S3 and HDFS.</p> |
| |
| <h3 id="multi-device-support">Multi-Device Support</h3> |
| |
| <p>Device information is stored in the <code class="highlighter-rouge">mxnet.Context</code> structure. When creating NDArray in MXNet, you can use the context argument (the default is the CPU context) to create arrays on specific devices as follows:</p> |
| |
| <div class="language-clojure highlighter-rouge"><div class="highlight"><pre class="highlight"><code><span class="p">(</span><span class="k">def</span><span class="w"> </span><span class="n">cpu-a</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/zeros</span><span class="w"> </span><span class="p">[</span><span class="mi">100</span><span class="w"> </span><span class="mi">200</span><span class="p">]))</span><span class="w"> |
| </span><span class="p">(</span><span class="nf">ndarray/context</span><span class="w"> </span><span class="n">cpu-a</span><span class="p">)</span><span class="w"> </span><span class="c1">;=> #object[org.apache.mxnet.Context 0x3f376123 "cpu(0)"]</span><span class="w"> |
| |
| </span><span class="p">(</span><span class="k">def</span><span class="w"> </span><span class="n">gpu-b</span><span class="w"> </span><span class="p">(</span><span class="nf">ndarray/zeros</span><span class="w"> </span><span class="p">[</span><span class="mi">100</span><span class="w"> </span><span class="mi">200</span><span class="p">]</span><span class="w"> </span><span class="p">{</span><span class="no">:ctx</span><span class="w"> </span><span class="p">(</span><span class="nf">context/gpu</span><span class="w"> </span><span class="mi">0</span><span class="p">)}))</span><span class="w"> </span><span class="c1">;; to use with gpu</span><span class="w"> |
| |
| </span></code></pre></div></div> |
| |
| <h2 id="next-steps">Next Steps</h2> |
| <ul> |
| <li>See <a href="kvstore">KVStore API</a> for multi-GPU and multi-host distributed training.</li> |
| </ul> |
| |
| </div> |
| </div> |
| |
| </div> |
| </div> |
| |
| </article> |
| |
| </main><footer class="site-footer h-card"> |
| <div class="wrapper"> |
| <div class="row"> |
| <div class="col-4"> |
| <h4 class="footer-category-title">Resources</h4> |
| <ul class="contact-list"> |
| <li><a href="/versions/master/community#stay-connected">Mailing lists</a></li> |
| <li><a href="https://discuss.mxnet.io">MXNet Discuss forum</a></li> |
| <li><a href="/versions/master/community#github-issues">Github Issues</a></li> |
| <li><a href="https://github.com/apache/incubator-mxnet/projects">Projects</a></li> |
| <li><a href="https://cwiki.apache.org/confluence/display/MXNET/Apache+MXNet+Home">Developer Wiki</a></li> |
| <li><a href="/versions/master/community">Contribute To MXNet</a></li> |
| |
| </ul> |
| </div> |
| |
| <div class="col-4"><ul class="social-media-list"><li><a href="https://github.com/apache/incubator-mxnet"><svg class="svg-icon"><use xlink:href="/versions/master/assets/minima-social-icons.svg#github"></use></svg> <span class="username">apache/incubator-mxnet</span></a></li><li><a href="https://www.twitter.com/apachemxnet"><svg class="svg-icon"><use xlink:href="/versions/master/assets/minima-social-icons.svg#twitter"></use></svg> <span class="username">apachemxnet</span></a></li><li><a href="https://youtube.com/apachemxnet"><svg class="svg-icon"><use xlink:href="/versions/master/assets/minima-social-icons.svg#youtube"></use></svg> <span class="username">apachemxnet</span></a></li></ul> |
| </div> |
| |
| <div class="col-4 footer-text"> |
| <p>A flexible and efficient library for deep learning.</p> |
| </div> |
| </div> |
| </div> |
| </footer> |
| <footer class="site-footer2"> |
| <div class="wrapper"> |
| <div class="row"> |
| <div class="col-3"> |
| <img src="/versions/master/assets/img/apache_incubator_logo.png" class="footer-logo col-2"> |
| </div> |
| <div class="footer-bottom-warning col-9"> |
| <p>Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), <span |
| style="font-weight:bold">sponsored by the <i>Apache Incubator</i></span>. Incubation is required |
| of all newly accepted projects until a further review indicates that the infrastructure, |
| communications, and decision making process have stabilized in a manner consistent with other |
| successful ASF projects. While incubation status is not necessarily a reflection of the completeness |
| or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF. |
| </p><p>"Copyright © 2017-2018, The Apache Software Foundation Apache MXNet, MXNet, Apache, the Apache |
| feather, and the Apache MXNet project logo are either registered trademarks or trademarks of the |
| Apache Software Foundation."</p> |
| </div> |
| </div> |
| </div> |
| </footer> |
| |
| |
| |
| |
| </body> |
| |
| </html> |
