rebase

docs/build/html/python/nn.html

@@ -8,7 +8,7 @@
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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>Neural Networks &#8212; MLX 0.28.0 documentation</title>
+    <title>Neural Networks &#8212; MLX 0.29.0 documentation</title>
   
   
   
@@ -30,15 +30,18 @@
 
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@@ -138,8 +141,8 @@
       
     
     
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 </a></div>
@@ -478,6 +481,7 @@
 <li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.fast.rope.html">mlx.core.fast.rope</a></li>
 <li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.fast.scaled_dot_product_attention.html">mlx.core.fast.scaled_dot_product_attention</a></li>
 <li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.fast.metal_kernel.html">mlx.core.fast.metal_kernel</a></li>
+<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.fast.cuda_kernel.html">mlx.core.fast.cuda_kernel</a></li>
 </ul>
 </details></li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="fft.html">FFT</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
@@ -524,6 +528,10 @@
 <li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.metal.stop_capture.html">mlx.core.metal.stop_capture</a></li>
 </ul>
 </details></li>
+<li class="toctree-l1 has-children"><a class="reference internal" href="cuda.html">CUDA</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
+<li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.cuda.is_available.html">mlx.core.cuda.is_available</a></li>
+</ul>
+</details></li>
 <li class="toctree-l1 has-children"><a class="reference internal" href="memory_management.html">Memory Management</a><details><summary><span class="toctree-toggle" role="presentation"><i class="fa-solid fa-chevron-down"></i></span></summary><ul>
 <li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.get_active_memory.html">mlx.core.get_active_memory</a></li>
 <li class="toctree-l2"><a class="reference internal" href="_autosummary/mlx.core.get_peak_memory.html">mlx.core.get_peak_memory</a></li>
@@ -1073,7 +1081,7 @@ parameters as the first argument to the function returned by
 <tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.nn.value_and_grad.html#mlx.nn.value_and_grad" title="mlx.nn.value_and_grad"><code class="xref py py-obj docutils literal notranslate"><span class="pre">value_and_grad</span></code></a>(model, fn)</p></td>
 <td><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></td>
 </tr>
-<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.nn.quantize.html#mlx.nn.quantize" title="mlx.nn.quantize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">quantize</span></code></a>(model[, group_size, bits, ...])</p></td>
+<tr class="row-even"><td><p><a class="reference internal" href="_autosummary/mlx.nn.quantize.html#mlx.nn.quantize" title="mlx.nn.quantize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">quantize</span></code></a>(model[, group_size, bits, mode, ...])</p></td>
 <td><p>Quantize the sub-modules of a module according to a predicate.</p></td>
 </tr>
 <tr class="row-odd"><td><p><a class="reference internal" href="_autosummary/mlx.nn.average_gradients.html#mlx.nn.average_gradients" title="mlx.nn.average_gradients"><code class="xref py py-obj docutils literal notranslate"><span class="pre">average_gradients</span></code></a>(gradients[, group, ...])</p></td>