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docs/build/html/usage/numpy.html vendored
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@@ -8,7 +8,7 @@
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
<title>Conversion to NumPy and Other Frameworks &#8212; MLX 0.29.2 documentation</title>
<title>Conversion to NumPy and Other Frameworks &#8212; MLX 0.29.3 documentation</title>
@@ -37,7 +37,7 @@
<link rel="preload" as="script" href="../_static/scripts/pydata-sphinx-theme.js?digest=dfe6caa3a7d634c4db9b" />
<script src="../_static/vendor/fontawesome/6.5.2/js/all.min.js?digest=dfe6caa3a7d634c4db9b"></script>
<script src="../_static/documentation_options.js?v=30d04a71"></script>
<script src="../_static/documentation_options.js?v=8b2cc86c"></script>
<script src="../_static/doctools.js?v=9a2dae69"></script>
<script src="../_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="../_static/clipboard.min.js?v=a7894cd8"></script>
@@ -140,8 +140,8 @@
<img src="../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.29.2 documentation - Home"/>
<script>document.write(`<img src="../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.29.2 documentation - Home"/>`);</script>
<img src="../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.29.3 documentation - Home"/>
<script>document.write(`<img src="../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.29.3 documentation - Home"/>`);</script>
</a></div>
@@ -995,11 +995,11 @@ even though no in-place operations on MLX memory are executed.</p>
<h2>PyTorch<a class="headerlink" href="#pytorch" title="Link to this heading">#</a></h2>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>PyTorch Support for <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#memoryview" title="(in Python v3.13)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">memoryview</span></code></a> is experimental and can break for
<p>PyTorch Support for <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#memoryview" title="(in Python v3.14)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">memoryview</span></code></a> is experimental and can break for
multi-dimensional arrays. Casting to NumPy first is advised for now.</p>
</div>
<p>PyTorch supports the buffer protocol, but it requires an explicit
<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#memoryview" title="(in Python v3.13)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">memoryview</span></code></a>.</p>
<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#memoryview" title="(in Python v3.14)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">memoryview</span></code></a>.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">mlx.core</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">mx</span>
<span class="kn">import</span><span class="w"> </span><span class="nn">torch</span>
@@ -1026,7 +1026,7 @@ NumPy arrays with <code class="docutils literal notranslate"><span class="pre">n
<section id="tensorflow">
<h2>TensorFlow<a class="headerlink" href="#tensorflow" title="Link to this heading">#</a></h2>
<p>TensorFlow supports the buffer protocol, but it requires an explicit
<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#memoryview" title="(in Python v3.13)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">memoryview</span></code></a>.</p>
<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#memoryview" title="(in Python v3.14)"><code class="xref py py-obj docutils literal notranslate"><span class="pre">memoryview</span></code></a>.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span><span class="w"> </span><span class="nn">mlx.core</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">mx</span>
<span class="kn">import</span><span class="w"> </span><span class="nn">tensorflow</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">tf</span>