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  <div class="section" id="arrayfire-python-wrapper">
<h1>ArrayFire Python Wrapper<a class="headerlink" href="#arrayfire-python-wrapper" title="Permalink to this headline"></a></h1>
<div class="section" id="module-arrayfire">
<span id="introduction"></span><h2>Introduction<a class="headerlink" href="#module-arrayfire" title="Permalink to this headline"></a></h2>
<p>ArrayFire is a high performance scientific computing library with an easy to use API.</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="c1"># Monte Carlo estimation of pi</span>
<span class="gp">&gt;&gt;&gt; </span><span class="k">def</span> <span class="nf">calc_pi_device</span><span class="p">(</span><span class="n">samples</span><span class="p">):</span>
<span class="go">        # Simple, array based API</span>
<span class="go">        # Generate uniformly distributed random numers</span>
<span class="go">        x = af.randu(samples)</span>
<span class="go">        y = af.randu(samples)</span>
<span class="go">        # Supports Just In Time Compilation</span>
<span class="go">        # The following line generates a single kernel</span>
<span class="go">        within_unit_circle = (x * x + y * y) &lt; 1</span>
<span class="go">        # Intuitive function names</span>
<span class="go">        return 4 * af.count(within_unit_circle) / samples</span>
</pre></div>
</div>
<p>Programs written using ArrayFire are portable across CUDA, OpenCL and CPU devices.</p>
<p>The default backend is chosen in the following order of preference based on the available libraries:</p>
<blockquote>
<div><ol class="arabic simple">
<li>CUDA</li>
<li>OpenCL</li>
<li>CPU</li>
</ol>
</div></blockquote>
<p>The backend can be chosen at the beginning of the program by using the following function</p>
<div class="highlight-default"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">af</span><span class="o">.</span><span class="n">backend</span><span class="o">.</span><span class="n">set</span><span class="p">(</span><span class="n">name</span><span class="p">)</span>
</pre></div>
</div>
<p>where name is one of &#8216;cuda&#8217;, &#8216;opencl&#8217; or &#8216;cpu&#8217;.</p>
<p>The functionality provided by ArrayFire spans the following domains:</p>
<blockquote>
<div><ol class="arabic simple">
<li>Vector Algorithms</li>
<li>Image Processing</li>
<li>Signal Processing</li>
<li>Computer Vision</li>
<li>Linear Algebra</li>
<li>Statistics</li>
</ol>
</div></blockquote>
<p>Submodules</p>
<hr class="docutils" />
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%" />
<col width="90%" />
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><a class="reference internal" href="arrayfire.algorithm.html#module-arrayfire.algorithm" title="arrayfire.algorithm"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.algorithm</span></code></a></td>
<td>Vector algorithms (sum, min, sort, etc).</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="arrayfire.arith.html#module-arrayfire.arith" title="arrayfire.arith"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.arith</span></code></a></td>
<td>Math functions (sin, sqrt, exp, etc).</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="arrayfire.array.html#module-arrayfire.array" title="arrayfire.array"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.array</span></code></a></td>
<td>Array class and helper functions.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="arrayfire.base.html#module-arrayfire.base" title="arrayfire.base"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.base</span></code></a></td>
<td>Implementation of BaseArray class.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="arrayfire.bcast.html#module-arrayfire.bcast" title="arrayfire.bcast"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.bcast</span></code></a></td>
<td>Function to perform broadcasting operations.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="arrayfire.blas.html#module-arrayfire.blas" title="arrayfire.blas"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.blas</span></code></a></td>
<td>BLAS functions (matmul, dot, etc)</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="arrayfire.cuda.html#module-arrayfire.cuda" title="arrayfire.cuda"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.cuda</span></code></a></td>
<td>Functions specific to CUDA backend.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="arrayfire.data.html#module-arrayfire.data" title="arrayfire.data"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.data</span></code></a></td>
<td>Functions to create and manipulate arrays.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="arrayfire.device.html#module-arrayfire.device" title="arrayfire.device"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.device</span></code></a></td>
<td>Functions to handle the available devices in the backend.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="arrayfire.features.html#module-arrayfire.features" title="arrayfire.features"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.features</span></code></a></td>
<td>Features class used for Computer Vision algorithms.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="arrayfire.graphics.html#module-arrayfire.graphics" title="arrayfire.graphics"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.graphics</span></code></a></td>
<td>Graphics functions (plot, image, etc).</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="arrayfire.image.html#module-arrayfire.image" title="arrayfire.image"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.image</span></code></a></td>
<td>Image processing functions.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="arrayfire.index.html#module-arrayfire.index" title="arrayfire.index"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.index</span></code></a></td>
<td>Index and Seq classes used in indexing operations.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="arrayfire.interop.html#module-arrayfire.interop" title="arrayfire.interop"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.interop</span></code></a></td>
<td>Interop with other python packages.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="arrayfire.lapack.html#module-arrayfire.lapack" title="arrayfire.lapack"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.lapack</span></code></a></td>
<td>Dense Linear Algebra functions (solve, inverse, etc).</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="arrayfire.library.html#module-arrayfire.library" title="arrayfire.library"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.library</span></code></a></td>
<td>Module containing enums and other constants.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="arrayfire.opencl.html#module-arrayfire.opencl" title="arrayfire.opencl"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.opencl</span></code></a></td>
<td>Functions specific to OpenCL backend.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="arrayfire.signal.html#module-arrayfire.signal" title="arrayfire.signal"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.signal</span></code></a></td>
<td>Signal processing functions (fft, convolve, etc).</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="arrayfire.statistics.html#module-arrayfire.statistics" title="arrayfire.statistics"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.statistics</span></code></a></td>
<td>Statistical algorithms (mean, var, stdev, etc).</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="arrayfire.timer.html#module-arrayfire.timer" title="arrayfire.timer"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.timer</span></code></a></td>
<td>Functions to time arrayfire.</td>
</tr>
<tr class="row-odd"><td><a class="reference internal" href="arrayfire.util.html#module-arrayfire.util" title="arrayfire.util"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.util</span></code></a></td>
<td>Utility functions to help with Array metadata.</td>
</tr>
<tr class="row-even"><td><a class="reference internal" href="arrayfire.vision.html#module-arrayfire.vision" title="arrayfire.vision"><code class="xref py py-obj docutils literal"><span class="pre">arrayfire.vision</span></code></a></td>
<td>Computer vision functions (FAST, ORB, etc)</td>
</tr>
</tbody>
</table>
</div>
</div>


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  <h3><a href="index.html">Table Of Contents</a></h3>
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<li><a class="reference internal" href="#">ArrayFire Python Wrapper</a><ul>
<li><a class="reference internal" href="#module-arrayfire">Introduction</a></li>
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