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<section id="mlx-nn-value-and-grad">
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<h1>mlx.nn.value_and_grad<a class="headerlink" href="#mlx-nn-value-and-grad" title="Permalink to this heading"></a></h1>
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<dl class="py function">
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<dt class="sig sig-object py" id="mlx.nn.value_and_grad">
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<span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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.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="Permalink to this definition"></a></dt>
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<dd><p>Transform the passed function <code class="docutils literal notranslate"><span class="pre">fn</span></code> to a function that computes the
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gradients of <code class="docutils literal notranslate"><span class="pre">fn</span></code> wrt the model’s trainable parameters and also its
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value.</p>
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<dl class="field-list simple">
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<dt class="field-odd">Parameters<span class="colon">:</span></dt>
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<dd class="field-odd"><ul class="simple">
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<li><p><strong>model</strong> (<a class="reference internal" href="../nn/module.html#mlx.nn.Module" title="mlx.nn.Module"><em>Module</em></a>) – The model whose trainable parameters to compute
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gradients for</p></li>
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<li><p><strong>fn</strong> (<em>Callable</em>) – The scalar function to compute gradients for</p></li>
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</ul>
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</dd>
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<dt class="field-even">Returns<span class="colon">:</span></dt>
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<dd class="field-even"><p>A callable that returns the value of <code class="docutils literal notranslate"><span class="pre">fn</span></code> and the gradients wrt the
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trainable parameters of <code class="docutils literal notranslate"><span class="pre">model</span></code></p>
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