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Awni Hannun
2024-10-14 13:10:48 -07:00
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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="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
<title>mlx.nn.value_and_grad &#8212; MLX 0.18.0 documentation</title>
<title>mlx.nn.value_and_grad &#8212; MLX 0.18.1 documentation</title>
@@ -36,7 +36,7 @@
<link rel="preload" as="script" href="../../_static/scripts/pydata-sphinx-theme.js?digest=5b4479735964841361fd" />
<script src="../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=5b4479735964841361fd"></script>
<script src="../../_static/documentation_options.js?v=4033e70d"></script>
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<script src="../../_static/doctools.js?v=888ff710"></script>
<script src="../../_static/sphinx_highlight.js?v=dc90522c"></script>
<script src="../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
@@ -131,8 +131,8 @@
<img src="../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.18.0 documentation - Home"/>
<script>document.write(`<img src="../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.18.0 documentation - Home"/>`);</script>
<img src="../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.18.1 documentation - Home"/>
<script>document.write(`<img src="../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.18.1 documentation - Home"/>`);</script>
</a></div>
@@ -370,6 +370,7 @@
<li class="toctree-l2"><a class="reference internal" href="mlx.core.repeat.html">mlx.core.repeat</a></li>
<li class="toctree-l2"><a class="reference internal" href="mlx.core.reshape.html">mlx.core.reshape</a></li>
<li class="toctree-l2"><a class="reference internal" href="mlx.core.right_shift.html">mlx.core.right_shift</a></li>
<li class="toctree-l2"><a class="reference internal" href="mlx.core.roll.html">mlx.core.roll</a></li>
<li class="toctree-l2"><a class="reference internal" href="mlx.core.round.html">mlx.core.round</a></li>
<li class="toctree-l2"><a class="reference internal" href="mlx.core.rsqrt.html">mlx.core.rsqrt</a></li>
<li class="toctree-l2"><a class="reference internal" href="mlx.core.save.html">mlx.core.save</a></li>
@@ -425,6 +426,7 @@
<li class="toctree-l2"><a class="reference internal" href="mlx.core.random.truncated_normal.html">mlx.core.random.truncated_normal</a></li>
<li class="toctree-l2"><a class="reference internal" href="mlx.core.random.uniform.html">mlx.core.random.uniform</a></li>
<li class="toctree-l2"><a class="reference internal" href="mlx.core.random.laplace.html">mlx.core.random.laplace</a></li>
<li class="toctree-l2"><a class="reference internal" href="mlx.core.random.permutation.html">mlx.core.random.permutation</a></li>
</ul>
</li>
<li class="toctree-l1 has-children"><a class="reference internal" href="../transforms.html">Transforms</a><input class="toctree-checkbox" id="toctree-checkbox-6" name="toctree-checkbox-6" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-6"><i class="fa-solid fa-chevron-down"></i></label><ul>
@@ -871,7 +873,7 @@ document.write(`
<h1>mlx.nn.value_and_grad<a class="headerlink" href="#mlx-nn-value-and-grad" title="Link to this heading">#</a></h1>
<dl class="py function">
<dt class="sig sig-object py" id="mlx.nn.value_and_grad">
<span class="sig-name descname"><span class="pre">value_and_grad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../nn/module.html#mlx.nn.Module" title="mlx.nn.layers.base.Module"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.12)"><span class="pre">Callable</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.value_and_grad" title="Link to this definition">#</a></dt>
<span class="sig-name descname"><span class="pre">value_and_grad</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../nn/module.html#mlx.nn.Module" title="mlx.nn.layers.base.Module"><span class="pre">Module</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">fn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.13)"><span class="pre">Callable</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.value_and_grad" title="Link to this definition">#</a></dt>
<dd><p>Transform the passed function <code class="docutils literal notranslate"><span class="pre">fn</span></code> to a function that computes the
gradients of <code class="docutils literal notranslate"><span class="pre">fn</span></code> wrt the model’s trainable parameters and also its
value.</p>