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<title>arrayfire.interop module — ArrayFire Python documentation</title>
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<div class="section" id="module-arrayfire.interop">
<span id="arrayfire-interop-module"></span><h1>arrayfire.interop module<a class="headerlink" href="#module-arrayfire.interop" title="Permalink to this headline">¶</a></h1>
<p>Interop with other python packages.</p>
<p>This module provides interoperability with the following python packages.</p>
<blockquote>
<div><ol class="arabic simple">
<li>numpy</li>
<li>pycuda</li>
<li>pyopencl</li>
</ol>
</div></blockquote>
<dl class="function">
<dt id="arrayfire.interop.from_ndarray">
<code class="descclassname">arrayfire.interop.</code><code class="descname">from_ndarray</code><span class="sig-paren">(</span><em>np_arr</em><span class="sig-paren">)</span><a class="headerlink" href="#arrayfire.interop.from_ndarray" title="Permalink to this definition">¶</a></dt>
<dd><p>Convert numpy.ndarray to arrayfire.Array.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>np_arr</strong> : numpy.ndarray()</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><strong>af_arr</strong> : arrayfire.Array()</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="arrayfire.interop.np_to_af_array">
<code class="descclassname">arrayfire.interop.</code><code class="descname">np_to_af_array</code><span class="sig-paren">(</span><em>np_arr</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/arrayfire/interop.html#np_to_af_array"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#arrayfire.interop.np_to_af_array" title="Permalink to this definition">¶</a></dt>
<dd><p>Convert numpy.ndarray to arrayfire.Array.</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><strong>np_arr</strong> : numpy.ndarray()</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><strong>af_arr</strong> : arrayfire.Array()</td>
</tr>
</tbody>
</table>
</dd></dl>
<dl class="function">
<dt id="arrayfire.interop.to_array">
<code class="descclassname">arrayfire.interop.</code><code class="descname">to_array</code><span class="sig-paren">(</span><em>in_array</em><span class="sig-paren">)</span><a class="reference internal" href="_modules/arrayfire/interop.html#to_array"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#arrayfire.interop.to_array" title="Permalink to this definition">¶</a></dt>
<dd><p>Helper function to convert input from a different module to af.Array</p>
<table class="docutils field-list" frame="void" rules="none">
<col class="field-name" />
<col class="field-body" />
<tbody valign="top">
<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>in_array</strong> : array like object</p>
<blockquote>
<div><p>Can be one of numpy.ndarray, pycuda.GPUArray, pyopencl.Array, array.array, list</p>
</div></blockquote>
</td>
</tr>
<tr class="field-even field"><th class="field-name">Returns:</th><td class="field-body"><p class="first last">af.Array of same dimensions as input after copying the data from the input</p>
</td>
</tr>
</tbody>
</table>
</dd></dl>
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