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CircleCI Docs
2025-09-26 22:21:25 +00:00
parent d96a372a7d
commit e492c1dcd9
537 changed files with 2136 additions and 2136 deletions
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10
docs/build/html/usage/distributed.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>Distributed Communication &#8212; MLX 0.29.1 documentation</title>
<title>Distributed Communication &#8212; MLX 0.29.2 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=27a4ca17"></script>
<script src="../_static/documentation_options.js?v=30d04a71"></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 0.29.1 documentation - Home"/>
<script>document.write(`<img src="../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.29.1 documentation - Home"/>`);</script>
<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>
</a></div>
@@ -1104,7 +1104,7 @@ almost identical to the example above:</p>
<span class="k">def</span><span class="w"> </span><span class="nf">step</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">):</span>
<span class="n">loss</span><span class="p">,</span> <span class="n">grads</span> <span class="o">=</span> <span class="n">loss_grad_fn</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span>
<span class="n">grads</span> <span class="o">=</span> <span class="n">mlx</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">average_gradients</span><span class="p">(</span><span class="n">grads</span><span class="p">)</span> <span class="c1"># &lt;---- This line was added</span>
<span class="n">grads</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">average_gradients</span><span class="p">(</span><span class="n">grads</span><span class="p">)</span> <span class="c1"># &lt;---- This line was added</span>
<span class="n">optimizer</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="n">model</span><span class="p">,</span> <span class="n">grads</span><span class="p">)</span>
<span class="k">return</span> <span class="n">loss</span>