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<h1>mlx.optimizers.Optimizer.init</h1>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.optimizers.Optimizer.init"><code class="docutils literal notranslate"><span class="pre">Optimizer.init()</span></code></a></li>
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<section id="mlx-optimizers-optimizer-init">
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<h1>mlx.optimizers.Optimizer.init<a class="headerlink" href="#mlx-optimizers-optimizer-init" title="Link to this heading">#</a></h1>
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<dl class="py method">
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<dt class="sig sig-object py" id="mlx.optimizers.Optimizer.init">
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<span class="sig-prename descclassname"><span class="pre">Optimizer.</span></span><span class="sig-name descname"><span class="pre">init</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">parameters</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/stdtypes.html#dict" title="(in Python v3.12)"><span class="pre">dict</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.optimizers.Optimizer.init" title="Link to this definition">#</a></dt>
|
||
<dd><p>Initialize the optimizer’s state</p>
|
||
<p>This function can be used to initialize optimizers which have state
|
||
(like momentum in <a class="reference internal" href="mlx.optimizers.SGD.html#mlx.optimizers.SGD" title="mlx.optimizers.SGD"><code class="xref py py-class docutils literal notranslate"><span class="pre">SGD</span></code></a>). Using this method is optional as the
|
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optimizer will initialize itself if the state is not yet set. However,
|
||
there are some cases where explicit initialization is useful in order
|
||
to have access to the <a class="reference internal" href="mlx.optimizers.Optimizer.state.html#mlx.optimizers.Optimizer.state" title="mlx.optimizers.Optimizer.state"><code class="xref py py-attr docutils literal notranslate"><span class="pre">Optimizer.state</span></code></a> before the first call to
|
||
<a class="reference internal" href="mlx.optimizers.Optimizer.update.html#mlx.optimizers.Optimizer.update" title="mlx.optimizers.Optimizer.update"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Optimizer.update()</span></code></a>.</p>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><p><strong>model</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.12)"><em>dict</em></a>) – A Python tree of parameters.</p>
|
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</dd>
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</dl>
|
||
<p class="rubric">Example</p>
|
||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">SGD</span><span class="p">(</span><span class="n">learning_rate</span><span class="o">=</span><span class="mf">1e-1</span><span class="p">,</span> <span class="n">momentum</span><span class="o">=</span><span class="mf">0.9</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">model</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">optimizer</span><span class="o">.</span><span class="n">init</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">trainable_parameters</span><span class="p">())</span>
|
||
<span class="gp">>>> </span><span class="n">optimizer</span><span class="o">.</span><span class="n">state</span><span class="o">.</span><span class="n">keys</span><span class="p">()</span>
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<span class="go">dict_keys(['step', 'learning_rate', 'weight', 'bias'])</span>
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