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<meta charset="utf-8" />
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@@ -704,11 +718,11 @@ document.write(`
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<link rel="index" title="Index" href="../../../genindex.html" />
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@@ -478,25 +483,34 @@
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docs/build/html/python/nn/_autosummary/mlx.nn.Conv2d.html
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docs/build/html/python/nn/_autosummary/mlx.nn.GELU.html
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docs/build/html/python/nn/_autosummary/mlx.nn.InstanceNorm.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Linear.html
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@@ -701,12 +715,12 @@ Mish: A Self Regularized Non-Monotonic Neural Activation Function.</p>
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.filter_and_map.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.freeze.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.leaf_modules.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.load_weights.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.trainable_parameters.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.unfreeze.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.update_modules.html
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docs/build/html/python/nn/_autosummary/mlx.nn.MultiHeadAttention.html
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docs/build/html/python/nn/_autosummary/mlx.nn.PReLU.html
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docs/build/html/python/nn/_autosummary/mlx.nn.RMSNorm.html
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docs/build/html/python/nn/_autosummary/mlx.nn.ReLU.html
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docs/build/html/python/nn/_autosummary/mlx.nn.RoPE.html
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@@ -405,6 +406,8 @@
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@@ -417,6 +420,8 @@
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@@ -477,25 +482,34 @@
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@@ -690,7 +704,7 @@ Embedding</a>.</p>
<dd class="field-odd"><ul class="simple">
<li><p><strong>dims</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – The feature dimensions to be rotated. If the input feature
is larger than dims then the rest is left unchanged.</p></li>
<li><p><strong>traditional</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>optional</em>) – If set to True choose the traditional
<li><p><strong>traditional</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#bool" title="(in Python v3.12)"><em>bool</em></a><em>, </em><em>optional</em>) – If set to <code class="docutils literal notranslate"><span class="pre">True</span></code> choose the traditional
implementation which is slightly less efficient. Default: <code class="docutils literal notranslate"><span class="pre">False</span></code>.</p></li>
<li><p><strong>base</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – The base used to compute angular frequency for
each dimension in the positional encodings. Default: <code class="docutils literal notranslate"><span class="pre">10000</span></code>.</p></li>
@@ -698,28 +712,6 @@ each dimension in the positional encodings. Default: <code class="docutils liter
</ul>
</dd>
</dl>
<dl class="py attribute">
<dt class="sig sig-object py" id="mlx.nn.RoPE._cos_sin_theta_key">
<span class="sig-name descname"><span class="pre">_cos_sin_theta_key</span></span><a class="headerlink" href="#mlx.nn.RoPE._cos_sin_theta_key" title="Permalink to this definition">#</a></dt>
<dd><p>Cached key for the precomputed cosine and sine values.</p>
<dl class="field-list simple">
<dt class="field-odd">Type<span class="colon">:</span></dt>
<dd class="field-odd"><p><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a></p>
</dd>
</dl>
</dd></dl>
<dl class="py attribute">
<dt class="sig sig-object py" id="mlx.nn.RoPE._cos_sin_theta_value">
<span class="sig-name descname"><span class="pre">_cos_sin_theta_value</span></span><a class="headerlink" href="#mlx.nn.RoPE._cos_sin_theta_value" title="Permalink to this definition">#</a></dt>
<dd><p>Cached cosine and sine values.</p>
<dl class="field-list simple">
<dt class="field-odd">Type<span class="colon">:</span></dt>
<dd class="field-odd"><p><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a></p>
</dd>
</dl>
</dd></dl>
</dd></dl>
</section>
docs/build/html/python/nn/_autosummary/mlx.nn.SELU.html
Vendored
+33 -19
View File
@@ -9,7 +9,7 @@
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
<title>mlx.nn.SELU &#8212; MLX 0.2.0 documentation</title>
<title>mlx.nn.SELU &#8212; MLX 0.3.0 documentation</title>
@@ -135,8 +135,8 @@
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@@ -207,12 +207,13 @@
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@@ -406,6 +407,8 @@
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.AvgPool2d.html">mlx.nn.AvgPool2d</a></li>
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Conv2d.html">mlx.nn.Conv2d</a></li>
@@ -418,6 +421,8 @@
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.MaxPool1d.html">mlx.nn.MaxPool1d</a></li>
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.MaxPool2d.html">mlx.nn.MaxPool2d</a></li>
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Mish.html">mlx.nn.Mish</a></li>
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.PReLU.html">mlx.nn.PReLU</a></li>
@@ -478,25 +483,34 @@
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docs/build/html/python/nn/_autosummary/mlx.nn.Sequential.html
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docs/build/html/python/nn/_autosummary/mlx.nn.SiLU.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.he_normal.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.he_uniform.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.cosine_similarity_loss.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.cross_entropy.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.margin_ranking_loss.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.mse_loss.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.nll_loss.html
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docs/build/html/python/nn/init.html
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docs/build/html/python/nn/layers.html
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<td><p>Applies the Mish function, element-wise.</p></td>
</tr>
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docs/build/html/python/nn/module.html
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