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docs/build/html/python/optimizers/_autosummary/mlx.optimizers.AdaDelta.html
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docs/build/html/python/optimizers/_autosummary/mlx.optimizers.Adafactor.html
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<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>mlx.optimizers.cosine_decay &#8212; MLX 0.23.2 documentation</title>
<title>mlx.optimizers.cosine_decay &#8212; MLX 0.24.0 documentation</title>
@@ -36,7 +36,7 @@
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<title>mlx.optimizers.exponential_decay &#8212; MLX 0.23.2 documentation</title>
<title>mlx.optimizers.exponential_decay &#8212; MLX 0.24.0 documentation</title>
@@ -36,7 +36,7 @@
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<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.23.2 documentation - Home"/>`);</script>
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<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.24.0 documentation - Home"/>`);</script>
</a></div>
docs/build/html/python/optimizers/_autosummary/mlx.optimizers.join_schedules.html
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<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
<title>mlx.optimizers.join_schedules &#8212; MLX 0.23.2 documentation</title>
<title>mlx.optimizers.join_schedules &#8212; MLX 0.24.0 documentation</title>
@@ -36,7 +36,7 @@
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</a></div>
@@ -920,9 +920,9 @@ that indicates when to transition between schedules.</p></li>
</dd>
</dl>
<p class="rubric">Example</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">warmup</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">linear_schedule</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">1e-1</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">linear</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">linear_schedule</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">1e-1</span><span class="p">,</span> <span class="n">steps</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">cosine</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">cosine_decay</span><span class="p">(</span><span class="mf">1e-1</span><span class="p">,</span> <span class="mi">200</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">lr_schedule</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">join_schedules</span><span class="p">([</span><span class="n">warmup</span><span class="p">,</span> <span class="n">cosine</span><span class="p">],</span> <span class="p">[</span><span class="mi">10</span><span class="p">])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">lr_schedule</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">join_schedules</span><span class="p">([</span><span class="n">linear</span><span class="p">,</span> <span class="n">cosine</span><span class="p">],</span> <span class="p">[</span><span class="mi">10</span><span class="p">])</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">learning_rate</span><span class="o">=</span><span class="n">lr_schedule</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">optimizer</span><span class="o">.</span><span class="n">learning_rate</span>
<span class="go">array(0.0, dtype=float32)</span>
docs/build/html/python/optimizers/_autosummary/mlx.optimizers.linear_schedule.html
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<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="viewport" content="width=device-width, initial-scale=1" />
<title>mlx.optimizers.linear_schedule &#8212; MLX 0.23.2 documentation</title>
<title>mlx.optimizers.linear_schedule &#8212; MLX 0.24.0 documentation</title>
@@ -36,7 +36,7 @@
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@@ -137,8 +137,8 @@
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<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.23.2 documentation - Home"/>`);</script>
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<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.24.0 documentation - Home"/>`);</script>
</a></div>
@@ -918,8 +918,8 @@ document.write(`
</dd>
</dl>
<p class="rubric">Example</p>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">warmup</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">linear_schedule</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">1e-1</span><span class="p">,</span> <span class="mi">100</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">learning_rate</span><span class="o">=</span><span class="n">warmup</span><span class="p">)</span>
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="n">lr_schedule</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">linear_schedule</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mf">1e-1</span><span class="p">,</span> <span class="mi">100</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">optimizer</span> <span class="o">=</span> <span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">learning_rate</span><span class="o">=</span><span class="n">lr_schedule</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">optimizer</span><span class="o">.</span><span class="n">learning_rate</span>
<span class="go">array(0.0, dtype=float32)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="k">for</span> <span class="n">_</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">101</span><span class="p">):</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">update</span><span class="p">({},</span> <span class="p">{})</span>
docs/build/html/python/optimizers/_autosummary/mlx.optimizers.step_decay.html
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<title>mlx.optimizers.step_decay &#8212; MLX 0.24.0 documentation</title>
@@ -36,7 +36,7 @@
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<title>Common Optimizers &#8212; MLX 0.23.2 documentation</title>
<title>Common Optimizers &#8212; MLX 0.24.0 documentation</title>
@@ -36,7 +36,7 @@
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<title>Optimizer &#8212; MLX 0.23.2 documentation</title>
<title>Optimizer &#8212; MLX 0.24.0 documentation</title>
@@ -36,7 +36,7 @@
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<script>document.write(`<img src="../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.23.2 documentation - Home"/>`);</script>
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<title>Schedulers &#8212; MLX 0.23.2 documentation</title>
<title>Schedulers &#8212; MLX 0.24.0 documentation</title>
@@ -36,7 +36,7 @@
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