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<title>mlx.nn.ALiBi — MLX 0.10.0 documentation</title>
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<title>mlx.nn.ALiBi — MLX 0.12.0 documentation</title>
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<dl class="py class">
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<dt class="sig sig-object py" id="mlx.nn.ALiBi">
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<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">ALiBi</span></span><a class="headerlink" href="#mlx.nn.ALiBi" title="Link to this definition">#</a></dt>
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<dd></dd></dl>
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<dd><p class="rubric">Methods</p>
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<table class="autosummary longtable table autosummary">
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<tbody>
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<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">create_alibi_matrix</span></code>(q_sequence_length, ...)</p></td>
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<td><p></p></td>
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</tr>
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<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">create_alibi_slope</span></code>(num_heads)</p></td>
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<td><p></p></td>
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<title>mlx.nn.AvgPool1d — MLX 0.10.0 documentation</title>
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<title>mlx.nn.AvgPool1d — MLX 0.12.0 documentation</title>
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.nn.value_and_grad.html">mlx.nn.value_and_grad</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.nn.quantize.html">mlx.nn.quantize</a></li>
|
||||
<li class="toctree-l2 has-children"><a class="reference internal" href="../module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-12" name="toctree-checkbox-12" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-12"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Module.training.html">mlx.nn.Module.training</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Module.state.html">mlx.nn.Module.state</a></li>
|
||||
@@ -489,6 +496,7 @@
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Mish.html">mlx.nn.Mish</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.MultiHeadAttention.html">mlx.nn.MultiHeadAttention</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.PReLU.html">mlx.nn.PReLU</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.QuantizedEmbedding.html">mlx.nn.QuantizedEmbedding</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.QuantizedLinear.html">mlx.nn.QuantizedLinear</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.RMSNorm.html">mlx.nn.RMSNorm</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.ReLU.html">mlx.nn.ReLU</a></li>
|
||||
@@ -592,6 +600,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_flatten.html">mlx.utils.tree_flatten</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_unflatten.html">mlx.utils.tree_unflatten</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_map.html">mlx.utils.tree_map</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_map_with_path.html">mlx.utils.tree_map_with_path</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
</ul>
|
||||
@@ -814,6 +823,11 @@ axis. Default: <code class="docutils literal notranslate"><span class="pre">0</s
|
||||
<span class="gp">>>> </span><span class="n">pool</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
</tbody>
|
||||
</table>
|
||||
</dd></dl>
|
||||
|
||||
</section>
|
||||
|
||||
@@ -8,7 +8,7 @@
|
||||
<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.AvgPool2d — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.AvgPool2d — MLX 0.12.0 documentation</title>
|
||||
|
||||
|
||||
|
||||
@@ -36,7 +36,7 @@
|
||||
<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=5b4479735964841361fd" />
|
||||
<script src="../../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=5b4479735964841361fd"></script>
|
||||
|
||||
<script src="../../../_static/documentation_options.js?v=cb265169"></script>
|
||||
<script src="../../../_static/documentation_options.js?v=e9e33cf0"></script>
|
||||
<script src="../../../_static/doctools.js?v=888ff710"></script>
|
||||
<script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
|
||||
<script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
|
||||
@@ -132,8 +132,8 @@
|
||||
|
||||
|
||||
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.10.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.10.0 documentation - Home"/>`);</script>
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.12.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.12.0 documentation - Home"/>`);</script>
|
||||
|
||||
|
||||
</a></div>
|
||||
@@ -241,6 +241,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.new_stream.html">mlx.core.new_stream</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.set_default_stream.html">mlx.core.set_default_stream</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.stream.html">mlx.core.stream</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.synchronize.html">mlx.core.synchronize</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../ops.html">Operations</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
@@ -265,6 +266,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.atleast_2d.html">mlx.core.atleast_2d</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.atleast_3d.html">mlx.core.atleast_3d</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.broadcast_to.html">mlx.core.broadcast_to</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.block_masked_mm.html">mlx.core.block_masked_mm</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.ceil.html">mlx.core.ceil</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.clip.html">mlx.core.clip</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.concatenate.html">mlx.core.concatenate</a></li>
|
||||
@@ -278,6 +280,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.cummin.html">mlx.core.cummin</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.cumprod.html">mlx.core.cumprod</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.cumsum.html">mlx.core.cumsum</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.degrees.html">mlx.core.degrees</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.dequantize.html">mlx.core.dequantize</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.diag.html">mlx.core.diag</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.diagonal.html">mlx.core.diagonal</a></li>
|
||||
@@ -326,6 +329,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.moveaxis.html">mlx.core.moveaxis</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.multiply.html">mlx.core.multiply</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.negative.html">mlx.core.negative</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.not_equal.html">mlx.core.not_equal</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.ones.html">mlx.core.ones</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.ones_like.html">mlx.core.ones_like</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.outer.html">mlx.core.outer</a></li>
|
||||
@@ -334,6 +338,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.prod.html">mlx.core.prod</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.quantize.html">mlx.core.quantize</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.quantized_matmul.html">mlx.core.quantized_matmul</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.radians.html">mlx.core.radians</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.reciprocal.html">mlx.core.reciprocal</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.repeat.html">mlx.core.repeat</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.reshape.html">mlx.core.reshape</a></li>
|
||||
@@ -437,12 +442,14 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.get_cache_memory.html">mlx.core.metal.get_cache_memory</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.set_memory_limit.html">mlx.core.metal.set_memory_limit</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.set_cache_limit.html">mlx.core.metal.set_cache_limit</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.clear_cache.html">mlx.core.metal.clear_cache</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.start_capture.html">mlx.core.metal.start_capture</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.stop_capture.html">mlx.core.metal.stop_capture</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.nn.value_and_grad.html">mlx.nn.value_and_grad</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.nn.quantize.html">mlx.nn.quantize</a></li>
|
||||
<li class="toctree-l2 has-children"><a class="reference internal" href="../module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-12" name="toctree-checkbox-12" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-12"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Module.training.html">mlx.nn.Module.training</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Module.state.html">mlx.nn.Module.state</a></li>
|
||||
@@ -489,6 +496,7 @@
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Mish.html">mlx.nn.Mish</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.MultiHeadAttention.html">mlx.nn.MultiHeadAttention</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.PReLU.html">mlx.nn.PReLU</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.QuantizedEmbedding.html">mlx.nn.QuantizedEmbedding</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.QuantizedLinear.html">mlx.nn.QuantizedLinear</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.RMSNorm.html">mlx.nn.RMSNorm</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.ReLU.html">mlx.nn.ReLU</a></li>
|
||||
@@ -592,6 +600,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_flatten.html">mlx.utils.tree_flatten</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_unflatten.html">mlx.utils.tree_unflatten</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_map.html">mlx.utils.tree_map</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_map_with_path.html">mlx.utils.tree_map_with_path</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
</ul>
|
||||
@@ -820,10 +829,15 @@ of the height and width axis. Default: <code class="docutils literal notranslate
|
||||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">mlx.core</span> <span class="k">as</span> <span class="nn">mx</span>
|
||||
<span class="gp">>>> </span><span class="kn">import</span> <span class="nn">mlx.nn.layers</span> <span class="k">as</span> <span class="nn">nn</span>
|
||||
<span class="gp">>>> </span><span class="n">x</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>
|
||||
<span class="gp">>>> </span><span class="n">pool</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">MaxPool2d</span><span class="p">(</span><span class="n">kernel_size</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
|
||||
<span class="gp">>>> </span><span class="n">pool</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">AvgPool2d</span><span class="p">(</span><span class="n">kernel_size</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">stride</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span>
|
||||
<span class="gp">>>> </span><span class="n">pool</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
</tbody>
|
||||
</table>
|
||||
</dd></dl>
|
||||
|
||||
</section>
|
||||
|
||||
@@ -8,7 +8,7 @@
|
||||
<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.BatchNorm — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.BatchNorm — MLX 0.12.0 documentation</title>
|
||||
|
||||
|
||||
|
||||
@@ -36,7 +36,7 @@
|
||||
<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=5b4479735964841361fd" />
|
||||
<script src="../../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=5b4479735964841361fd"></script>
|
||||
|
||||
<script src="../../../_static/documentation_options.js?v=cb265169"></script>
|
||||
<script src="../../../_static/documentation_options.js?v=e9e33cf0"></script>
|
||||
<script src="../../../_static/doctools.js?v=888ff710"></script>
|
||||
<script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
|
||||
<script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
|
||||
@@ -132,8 +132,8 @@
|
||||
|
||||
|
||||
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.10.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.10.0 documentation - Home"/>`);</script>
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.12.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.12.0 documentation - Home"/>`);</script>
|
||||
|
||||
|
||||
</a></div>
|
||||
@@ -241,6 +241,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.new_stream.html">mlx.core.new_stream</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.set_default_stream.html">mlx.core.set_default_stream</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.stream.html">mlx.core.stream</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.synchronize.html">mlx.core.synchronize</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../ops.html">Operations</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
@@ -265,6 +266,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.atleast_2d.html">mlx.core.atleast_2d</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.atleast_3d.html">mlx.core.atleast_3d</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.broadcast_to.html">mlx.core.broadcast_to</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.block_masked_mm.html">mlx.core.block_masked_mm</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.ceil.html">mlx.core.ceil</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.clip.html">mlx.core.clip</a></li>
|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.prod.html">mlx.core.prod</a></li>
|
||||
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|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.radians.html">mlx.core.radians</a></li>
|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.set_cache_limit.html">mlx.core.metal.set_cache_limit</a></li>
|
||||
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||||
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|
||||
</ul>
|
||||
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|
||||
<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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||||
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||||
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||||
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||||
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|
||||
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|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Mish.html">mlx.nn.Mish</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.MultiHeadAttention.html">mlx.nn.MultiHeadAttention</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.PReLU.html">mlx.nn.PReLU</a></li>
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -592,6 +600,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_flatten.html">mlx.utils.tree_flatten</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_unflatten.html">mlx.utils.tree_unflatten</a></li>
|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_map_with_path.html">mlx.utils.tree_map_with_path</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
</ul>
|
||||
@@ -820,6 +829,14 @@ running mean and variance. Default: <code class="docutils literal notranslate"><
|
||||
<span class="gp">>>> </span><span class="n">output</span> <span class="o">=</span> <span class="n">bn</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">unfreeze</span></code>(*args, **kwargs)</p></td>
|
||||
<td><p>Wrap unfreeze to make sure that running_mean and var are always frozen parameters.</p></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</dd></dl>
|
||||
|
||||
</section>
|
||||
|
||||
+18
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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="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
|
||||
|
||||
<title>mlx.nn.Conv1d — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.Conv1d — MLX 0.12.0 documentation</title>
|
||||
|
||||
|
||||
|
||||
@@ -36,7 +36,7 @@
|
||||
<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=5b4479735964841361fd" />
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||||
<script src="../../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=5b4479735964841361fd"></script>
|
||||
|
||||
<script src="../../../_static/documentation_options.js?v=cb265169"></script>
|
||||
<script src="../../../_static/documentation_options.js?v=e9e33cf0"></script>
|
||||
<script src="../../../_static/doctools.js?v=888ff710"></script>
|
||||
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|
||||
<script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
|
||||
@@ -131,8 +131,8 @@
|
||||
|
||||
|
||||
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.10.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.10.0 documentation - Home"/>`);</script>
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.12.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.12.0 documentation - Home"/>`);</script>
|
||||
|
||||
|
||||
</a></div>
|
||||
@@ -240,6 +240,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.new_stream.html">mlx.core.new_stream</a></li>
|
||||
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|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.synchronize.html">mlx.core.synchronize</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../ops.html">Operations</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.atleast_2d.html">mlx.core.atleast_2d</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.atleast_3d.html">mlx.core.atleast_3d</a></li>
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -277,6 +279,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.cummin.html">mlx.core.cummin</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.cumprod.html">mlx.core.cumprod</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.cumsum.html">mlx.core.cumsum</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.degrees.html">mlx.core.degrees</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.dequantize.html">mlx.core.dequantize</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.diag.html">mlx.core.diag</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.diagonal.html">mlx.core.diagonal</a></li>
|
||||
@@ -325,6 +328,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.moveaxis.html">mlx.core.moveaxis</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.multiply.html">mlx.core.multiply</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.negative.html">mlx.core.negative</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.not_equal.html">mlx.core.not_equal</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.ones.html">mlx.core.ones</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.ones_like.html">mlx.core.ones_like</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.outer.html">mlx.core.outer</a></li>
|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.prod.html">mlx.core.prod</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.quantize.html">mlx.core.quantize</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.quantized_matmul.html">mlx.core.quantized_matmul</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.radians.html">mlx.core.radians</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.reciprocal.html">mlx.core.reciprocal</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.repeat.html">mlx.core.repeat</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.reshape.html">mlx.core.reshape</a></li>
|
||||
@@ -436,12 +441,14 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.get_cache_memory.html">mlx.core.metal.get_cache_memory</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.set_memory_limit.html">mlx.core.metal.set_memory_limit</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.set_cache_limit.html">mlx.core.metal.set_cache_limit</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.clear_cache.html">mlx.core.metal.clear_cache</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.start_capture.html">mlx.core.metal.start_capture</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.stop_capture.html">mlx.core.metal.stop_capture</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.nn.value_and_grad.html">mlx.nn.value_and_grad</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.nn.quantize.html">mlx.nn.quantize</a></li>
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||||
<li class="toctree-l2 has-children"><a class="reference internal" href="../module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-12" name="toctree-checkbox-12" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-12"><i class="fa-solid fa-chevron-down"></i></label><ul>
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||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Module.training.html">mlx.nn.Module.training</a></li>
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||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Module.state.html">mlx.nn.Module.state</a></li>
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||||
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|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Mish.html">mlx.nn.Mish</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.MultiHeadAttention.html">mlx.nn.MultiHeadAttention</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.PReLU.html">mlx.nn.PReLU</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.QuantizedEmbedding.html">mlx.nn.QuantizedEmbedding</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.QuantizedLinear.html">mlx.nn.QuantizedLinear</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.RMSNorm.html">mlx.nn.RMSNorm</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.ReLU.html">mlx.nn.ReLU</a></li>
|
||||
@@ -591,6 +599,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_flatten.html">mlx.utils.tree_flatten</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_unflatten.html">mlx.utils.tree_unflatten</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_map.html">mlx.utils.tree_map</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_map_with_path.html">mlx.utils.tree_map_with_path</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
</ul>
|
||||
@@ -807,6 +816,11 @@ Default: <code class="docutils literal notranslate"><span class="pre">True</span
|
||||
</ul>
|
||||
</dd>
|
||||
</dl>
|
||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
</tbody>
|
||||
</table>
|
||||
</dd></dl>
|
||||
|
||||
</section>
|
||||
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||||
+18
-4
@@ -8,7 +8,7 @@
|
||||
<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.Conv2d — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.Conv2d — MLX 0.12.0 documentation</title>
|
||||
|
||||
|
||||
|
||||
@@ -36,7 +36,7 @@
|
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<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=5b4479735964841361fd" />
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<script src="../../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=5b4479735964841361fd"></script>
|
||||
|
||||
<script src="../../../_static/documentation_options.js?v=cb265169"></script>
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
<title>mlx.nn.Dropout — MLX 0.10.0 documentation</title>
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.moveaxis.html">mlx.core.moveaxis</a></li>
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.get_cache_memory.html">mlx.core.metal.get_cache_memory</a></li>
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.set_cache_limit.html">mlx.core.metal.set_cache_limit</a></li>
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.start_capture.html">mlx.core.metal.start_capture</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.stop_capture.html">mlx.core.metal.stop_capture</a></li>
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||||
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||||
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||||
<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.PReLU.html">mlx.nn.PReLU</a></li>
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<dd class="field-odd"><p><strong>p</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – The probability to zero an element</p>
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||||
<dd class="field-odd"><p><strong>p</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – Probability of zeroing a channel during training.</p>
|
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<title>mlx.nn.Dropout3d — MLX 0.10.0 documentation</title>
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<dd class="field-odd"><p><strong>p</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>) – Probability of zeroing a channel during training.</p>
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<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">as_linear</span></code>(x)</p></td>
|
||||
<td><p>Call the embedding layer as a linear layer.</p></td>
|
||||
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<title>mlx.nn.GELU — MLX 0.10.0 documentation</title>
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||||
<p>where <span class="math notranslate nohighlight">\(\Phi(x)\)</span> is the Gaussian CDF.</p>
|
||||
<p>However, if <code class="docutils literal notranslate"><span class="pre">approx</span></code> is set to ‘precise’ or ‘fast’ it applies</p>
|
||||
<div class="math notranslate nohighlight">
|
||||
\[\begin{split}\textrm{GELUApprox}(x) &= x * \sigma\left(1.60033 * x \left(1 + 0.0433603 * x^2\right)\right) \\
|
||||
\[\begin{split}\textrm{GELUApprox}(x) &= 0.5 * x * \left(1 + \text{Tanh}\left((\sqrt{2 / \pi} * \left(x + 0.044715 * x^3\right)\right)\right) \\
|
||||
\textrm{GELUFast}(x) &= x * \sigma\left(1.773 * x\right)\end{split}\]</div>
|
||||
<p>respectively.</p>
|
||||
<p>See <a class="reference internal" href="../_autosummary_functions/mlx.nn.gelu.html#mlx.nn.gelu" title="mlx.nn.gelu"><code class="xref py py-func docutils literal notranslate"><span class="pre">gelu()</span></code></a>, <a class="reference internal" href="../_autosummary_functions/mlx.nn.gelu_approx.html#mlx.nn.gelu_approx" title="mlx.nn.gelu_approx"><code class="xref py py-func docutils literal notranslate"><span class="pre">gelu_approx()</span></code></a> and <a class="reference internal" href="../_autosummary_functions/mlx.nn.gelu_fast_approx.html#mlx.nn.gelu_fast_approx" title="mlx.nn.gelu_fast_approx"><code class="xref py py-func docutils literal notranslate"><span class="pre">gelu_fast_approx()</span></code></a> for the
|
||||
@@ -799,6 +808,11 @@ functional equivalents and information regarding error bounds.</p>
|
||||
<dd class="field-odd"><p><strong>approx</strong> (<em>'none'</em><em> | </em><em>'precise'</em><em> | </em><em>'fast'</em>) – Which approximation to gelu to use if any.</p>
|
||||
</dd>
|
||||
</dl>
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||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
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||||
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||||
</tbody>
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||||
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</dd></dl>
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||||
<title>mlx.nn.GRU — MLX 0.10.0 documentation</title>
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||||
<title>mlx.nn.GRU — MLX 0.12.0 documentation</title>
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||||
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||||
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||||
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.moveaxis.html">mlx.core.moveaxis</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.multiply.html">mlx.core.multiply</a></li>
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||||
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||||
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.radians.html">mlx.core.radians</a></li>
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||||
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||||
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.PReLU.html">mlx.nn.PReLU</a></li>
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@@ -810,6 +819,11 @@ time step of shape <code class="docutils literal notranslate"><span class="pre">
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||||
</ul>
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||||
</dd>
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||||
</dl>
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||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
</tbody>
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</table>
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<p class="rubric">Methods</p>
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<title>mlx.nn.InstanceNorm — MLX 0.10.0 documentation</title>
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<title>mlx.nn.InstanceNorm — MLX 0.12.0 documentation</title>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.stop_capture.html">mlx.core.metal.stop_capture</a></li>
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</ul>
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
|
||||
<title>mlx.nn.Linear — MLX 0.10.0 documentation</title>
|
||||
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|
||||
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||||
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||||
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||||
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<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.12.0 documentation - Home"/>
|
||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.get_cache_memory.html">mlx.core.metal.get_cache_memory</a></li>
|
||||
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|
||||
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||||
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.stop_capture.html">mlx.core.metal.stop_capture</a></li>
|
||||
</ul>
|
||||
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|
||||
<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.nn.quantize.html">mlx.nn.quantize</a></li>
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.QuantizedLinear.html">mlx.nn.QuantizedLinear</a></li>
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||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.RMSNorm.html">mlx.nn.RMSNorm</a></li>
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
@@ -801,6 +810,11 @@ not use a bias. Default is <code class="docutils literal notranslate"><span clas
|
||||
</ul>
|
||||
</dd>
|
||||
</dl>
|
||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
</tbody>
|
||||
</table>
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||||
</dd></dl>
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||||
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||||
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||||
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||||
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||||
|
||||
<title>mlx.nn.MaxPool1d — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.MaxPool1d — MLX 0.12.0 documentation</title>
|
||||
|
||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.10.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.10.0 documentation - Home"/>`);</script>
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.12.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.12.0 documentation - Home"/>`);</script>
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../ops.html">Operations</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
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||||
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||||
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||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.block_masked_mm.html">mlx.core.block_masked_mm</a></li>
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.get_cache_memory.html">mlx.core.metal.get_cache_memory</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.set_memory_limit.html">mlx.core.metal.set_memory_limit</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.set_cache_limit.html">mlx.core.metal.set_cache_limit</a></li>
|
||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.stop_capture.html">mlx.core.metal.stop_capture</a></li>
|
||||
</ul>
|
||||
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|
||||
<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
|
||||
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|
||||
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|
||||
<li class="toctree-l2 has-children"><a class="reference internal" href="../module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-12" name="toctree-checkbox-12" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-12"><i class="fa-solid fa-chevron-down"></i></label><ul>
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||||
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|
||||
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|
||||
@@ -489,6 +496,7 @@
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Mish.html">mlx.nn.Mish</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.MultiHeadAttention.html">mlx.nn.MultiHeadAttention</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.PReLU.html">mlx.nn.PReLU</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.QuantizedEmbedding.html">mlx.nn.QuantizedEmbedding</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.QuantizedLinear.html">mlx.nn.QuantizedLinear</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.RMSNorm.html">mlx.nn.RMSNorm</a></li>
|
||||
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|
||||
@@ -592,6 +600,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_flatten.html">mlx.utils.tree_flatten</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_unflatten.html">mlx.utils.tree_unflatten</a></li>
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||||
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|
||||
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|
||||
</ul>
|
||||
</li>
|
||||
</ul>
|
||||
@@ -814,6 +823,11 @@ both sides of the spatial axis. Default: <code class="docutils literal notransla
|
||||
<span class="gp">>>> </span><span class="n">pool</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
</tbody>
|
||||
</table>
|
||||
</dd></dl>
|
||||
|
||||
</section>
|
||||
|
||||
@@ -8,7 +8,7 @@
|
||||
<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.MaxPool2d — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.MaxPool2d — MLX 0.12.0 documentation</title>
|
||||
|
||||
|
||||
|
||||
@@ -36,7 +36,7 @@
|
||||
<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=5b4479735964841361fd" />
|
||||
<script src="../../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=5b4479735964841361fd"></script>
|
||||
|
||||
<script src="../../../_static/documentation_options.js?v=cb265169"></script>
|
||||
<script src="../../../_static/documentation_options.js?v=e9e33cf0"></script>
|
||||
<script src="../../../_static/doctools.js?v=888ff710"></script>
|
||||
<script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
|
||||
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|
||||
@@ -132,8 +132,8 @@
|
||||
|
||||
|
||||
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.10.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.10.0 documentation - Home"/>`);</script>
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.12.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.12.0 documentation - Home"/>`);</script>
|
||||
|
||||
|
||||
</a></div>
|
||||
@@ -241,6 +241,7 @@
|
||||
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|
||||
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|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.synchronize.html">mlx.core.synchronize</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../ops.html">Operations</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
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||||
@@ -265,6 +266,7 @@
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -278,6 +280,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.cummin.html">mlx.core.cummin</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.cumprod.html">mlx.core.cumprod</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.cumsum.html">mlx.core.cumsum</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.degrees.html">mlx.core.degrees</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.dequantize.html">mlx.core.dequantize</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.diag.html">mlx.core.diag</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.diagonal.html">mlx.core.diagonal</a></li>
|
||||
@@ -326,6 +329,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.moveaxis.html">mlx.core.moveaxis</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.multiply.html">mlx.core.multiply</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.negative.html">mlx.core.negative</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.not_equal.html">mlx.core.not_equal</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.ones.html">mlx.core.ones</a></li>
|
||||
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||||
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|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.prod.html">mlx.core.prod</a></li>
|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.quantized_matmul.html">mlx.core.quantized_matmul</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.radians.html">mlx.core.radians</a></li>
|
||||
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|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.reshape.html">mlx.core.reshape</a></li>
|
||||
@@ -437,12 +442,14 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.get_cache_memory.html">mlx.core.metal.get_cache_memory</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.set_memory_limit.html">mlx.core.metal.set_memory_limit</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.set_cache_limit.html">mlx.core.metal.set_cache_limit</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.clear_cache.html">mlx.core.metal.clear_cache</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.start_capture.html">mlx.core.metal.start_capture</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.stop_capture.html">mlx.core.metal.stop_capture</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.nn.value_and_grad.html">mlx.nn.value_and_grad</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.nn.quantize.html">mlx.nn.quantize</a></li>
|
||||
<li class="toctree-l2 has-children"><a class="reference internal" href="../module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-12" name="toctree-checkbox-12" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-12"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Module.training.html">mlx.nn.Module.training</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Module.state.html">mlx.nn.Module.state</a></li>
|
||||
@@ -489,6 +496,7 @@
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.Mish.html">mlx.nn.Mish</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.MultiHeadAttention.html">mlx.nn.MultiHeadAttention</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.PReLU.html">mlx.nn.PReLU</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.QuantizedEmbedding.html">mlx.nn.QuantizedEmbedding</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.QuantizedLinear.html">mlx.nn.QuantizedLinear</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.RMSNorm.html">mlx.nn.RMSNorm</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.ReLU.html">mlx.nn.ReLU</a></li>
|
||||
@@ -592,6 +600,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_flatten.html">mlx.utils.tree_flatten</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_unflatten.html">mlx.utils.tree_unflatten</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_map.html">mlx.utils.tree_map</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_map_with_path.html">mlx.utils.tree_map_with_path</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
</ul>
|
||||
@@ -824,6 +833,11 @@ of the height and width axis. Default: <code class="docutils literal notranslate
|
||||
<span class="gp">>>> </span><span class="n">pool</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
</tbody>
|
||||
</table>
|
||||
</dd></dl>
|
||||
|
||||
</section>
|
||||
|
||||
+18
-4
@@ -8,7 +8,7 @@
|
||||
<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.Mish — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.Mish — MLX 0.12.0 documentation</title>
|
||||
|
||||
|
||||
|
||||
@@ -36,7 +36,7 @@
|
||||
<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=5b4479735964841361fd" />
|
||||
<script src="../../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=5b4479735964841361fd"></script>
|
||||
|
||||
<script src="../../../_static/documentation_options.js?v=cb265169"></script>
|
||||
<script src="../../../_static/documentation_options.js?v=e9e33cf0"></script>
|
||||
<script src="../../../_static/doctools.js?v=888ff710"></script>
|
||||
<script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
|
||||
<script src="../../../_static/scripts/sphinx-book-theme.js?v=efea14e4"></script>
|
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@@ -132,8 +132,8 @@
|
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|
||||
|
||||
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||||
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|
||||
<p>Reference: <a class="reference external" href="https://arxiv.org/abs/1908.08681">https://arxiv.org/abs/1908.08681</a></p>
|
||||
<div class="math notranslate nohighlight">
|
||||
\[\text{Mish}(x) = x * \text{Tanh}(\text{Softplus}(x))\]</div>
|
||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
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||||
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|
||||
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||||
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||||
<title>mlx.nn.Module.apply — MLX 0.10.0 documentation</title>
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.moveaxis.html">mlx.core.moveaxis</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.multiply.html">mlx.core.multiply</a></li>
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||||
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.radians.html">mlx.core.radians</a></li>
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.get_cache_memory.html">mlx.core.metal.get_cache_memory</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.set_memory_limit.html">mlx.core.metal.set_memory_limit</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.set_cache_limit.html">mlx.core.metal.set_cache_limit</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.clear_cache.html">mlx.core.metal.clear_cache</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.start_capture.html">mlx.core.metal.start_capture</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.stop_capture.html">mlx.core.metal.stop_capture</a></li>
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||||
</ul>
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.nn.value_and_grad.html">mlx.nn.value_and_grad</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.nn.quantize.html">mlx.nn.quantize</a></li>
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<li class="toctree-l2 current active has-children"><a class="reference internal" href="../module.html">Module</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-12" name="toctree-checkbox-12" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-12"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.PReLU.html">mlx.nn.PReLU</a></li>
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<title>mlx.nn.Module.leaf_modules — MLX 0.10.0 documentation</title>
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<title>mlx.nn.Module.set_dtype — MLX 0.10.0 documentation</title>
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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||||
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||||
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||||
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||||
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||||
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|
||||
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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|
||||
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||||
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||||
<p class="rubric">Methods</p>
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||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">create_additive_causal_mask</span></code>(N[, dtype])</p></td>
|
||||
<td><p></p></td>
|
||||
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|
||||
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</dd></dl>
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||||
<title>mlx.nn.PReLU — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.PReLU — MLX 0.12.0 documentation</title>
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<script>DOCUMENTATION_OPTIONS.pagename = 'python/nn/_autosummary/mlx.nn.PReLU';</script>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.QuantizedEmbedding"><code class="docutils literal notranslate"><span class="pre">QuantizedEmbedding</span></code></a></li>
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<h1>mlx.nn.QuantizedEmbedding<a class="headerlink" href="#mlx-nn-quantizedembedding" title="Link to this heading">#</a></h1>
|
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<dl class="py class">
|
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<dt class="sig sig-object py" id="mlx.nn.QuantizedEmbedding">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">QuantizedEmbedding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_embeddings</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">dims</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">group_size</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">bits</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">4</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.QuantizedEmbedding" title="Link to this definition">#</a></dt>
|
||||
<dd><p>The same as <a class="reference internal" href="mlx.nn.Embedding.html#mlx.nn.Embedding" title="mlx.nn.Embedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Embedding</span></code></a> but with a quantized weight matrix.</p>
|
||||
<p><a class="reference internal" href="#mlx.nn.QuantizedEmbedding" title="mlx.nn.QuantizedEmbedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">QuantizedEmbedding</span></code></a> also provides a <code class="xref py py-meth docutils literal notranslate"><span class="pre">from_embedding()</span></code>
|
||||
classmethod to convert embedding layers to <a class="reference internal" href="#mlx.nn.QuantizedEmbedding" title="mlx.nn.QuantizedEmbedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">QuantizedEmbedding</span></code></a>
|
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layers.</p>
|
||||
<dl class="field-list simple">
|
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<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><ul class="simple">
|
||||
<li><p><strong>num_embeddings</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a>) – How many possible discrete tokens can we embed.
|
||||
Usually called the vocabulary size.</p></li>
|
||||
<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 dimensionality of the embeddings.</p></li>
|
||||
<li><p><strong>group_size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>optional</em>) – The group size to use for the quantized
|
||||
weight. See <a class="reference internal" href="../../_autosummary/mlx.core.quantize.html#mlx.core.quantize" title="mlx.core.quantize"><code class="xref py py-func docutils literal notranslate"><span class="pre">quantize()</span></code></a>. Default: <code class="docutils literal notranslate"><span class="pre">64</span></code>.</p></li>
|
||||
<li><p><strong>bits</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>optional</em>) – The bit width to use for the quantized weight.
|
||||
See <a class="reference internal" href="../../_autosummary/mlx.core.quantize.html#mlx.core.quantize" title="mlx.core.quantize"><code class="xref py py-func docutils literal notranslate"><span class="pre">quantize()</span></code></a>. Default: <code class="docutils literal notranslate"><span class="pre">4</span></code>.</p></li>
|
||||
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<p class="rubric">Methods</p>
|
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<table class="autosummary longtable table autosummary">
|
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<tbody>
|
||||
<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">as_linear</span></code>(x)</p></td>
|
||||
<td><p>Call the quantized embedding layer as a quantized linear layer.</p></td>
|
||||
</tr>
|
||||
<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_embedding</span></code>(embedding_layer[, ...])</p></td>
|
||||
<td><p>Create a <a class="reference internal" href="#mlx.nn.QuantizedEmbedding" title="mlx.nn.QuantizedEmbedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">QuantizedEmbedding</span></code></a> layer from an <a class="reference internal" href="mlx.nn.Embedding.html#mlx.nn.Embedding" title="mlx.nn.Embedding"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Embedding</span></code></a> layer.</p></td>
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||||
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||||
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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<li class="toctree-l3 current active"><a class="current reference internal" href="#">mlx.nn.QuantizedLinear</a></li>
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.RMSNorm.html">mlx.nn.RMSNorm</a></li>
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<p>It is the quantized equivalent of <a class="reference internal" href="mlx.nn.Linear.html#mlx.nn.Linear" title="mlx.nn.Linear"><code class="xref py py-class docutils literal notranslate"><span class="pre">mlx.nn.Linear</span></code></a>. For now its
|
||||
parameters are frozen and will not be included in any gradient computation
|
||||
but this will probably change in the future.</p>
|
||||
<p>QuantizedLinear also provides two useful classmethods to convert linear
|
||||
layers to QuantizedLinear layers.</p>
|
||||
<ul class="simple">
|
||||
<li><p><code class="xref py py-meth docutils literal notranslate"><span class="pre">from_linear()</span></code> returns a QuantizedLinear layer that applies the same
|
||||
linear transformation up to the quantization error.</p></li>
|
||||
<li><p><code class="xref py py-meth docutils literal notranslate"><span class="pre">quantize_module()</span></code> swaps all the linear layers of the passed module
|
||||
with QuantizedLinear ones.</p></li>
|
||||
</ul>
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||||
<p><a class="reference internal" href="#mlx.nn.QuantizedLinear" title="mlx.nn.QuantizedLinear"><code class="xref py py-obj docutils literal notranslate"><span class="pre">QuantizedLinear</span></code></a> also provides a classmethod <code class="xref py py-meth docutils literal notranslate"><span class="pre">from_linear()</span></code> to
|
||||
convert linear layers to <a class="reference internal" href="#mlx.nn.QuantizedLinear" title="mlx.nn.QuantizedLinear"><code class="xref py py-obj docutils literal notranslate"><span class="pre">QuantizedLinear</span></code></a> layers.</p>
|
||||
<dl class="field-list simple">
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||||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
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||||
<dd class="field-odd"><ul class="simple">
|
||||
<li><p><strong>input_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 dimensionality of the input features</p></li>
|
||||
<li><p><strong>output_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 dimensionality of the output features</p></li>
|
||||
<li><p><strong>input_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 dimensionality of the input features.</p></li>
|
||||
<li><p><strong>output_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 dimensionality of the output features.</p></li>
|
||||
<li><p><strong>bias</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">False</span></code> then the layer will not use
|
||||
a bias. (default: True).</p></li>
|
||||
a bias. Default: <code class="docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
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||||
<li><p><strong>group_size</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>optional</em>) – The group size to use for the quantized
|
||||
weight. See <a class="reference internal" href="../../_autosummary/mlx.core.quantize.html#mlx.core.quantize" title="mlx.core.quantize"><code class="xref py py-func docutils literal notranslate"><span class="pre">quantize()</span></code></a>. (default: 64)</p></li>
|
||||
weight. See <a class="reference internal" href="../../_autosummary/mlx.core.quantize.html#mlx.core.quantize" title="mlx.core.quantize"><code class="xref py py-func docutils literal notranslate"><span class="pre">quantize()</span></code></a>. Default: <code class="docutils literal notranslate"><span class="pre">64</span></code>.</p></li>
|
||||
<li><p><strong>bits</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.12)"><em>int</em></a><em>, </em><em>optional</em>) – The bit width to use for the quantized weight.
|
||||
See <a class="reference internal" href="../../_autosummary/mlx.core.quantize.html#mlx.core.quantize" title="mlx.core.quantize"><code class="xref py py-func docutils literal notranslate"><span class="pre">quantize()</span></code></a>. (default: 4)</p></li>
|
||||
See <a class="reference internal" href="../../_autosummary/mlx.core.quantize.html#mlx.core.quantize" title="mlx.core.quantize"><code class="xref py py-func docutils literal notranslate"><span class="pre">quantize()</span></code></a>. Default: <code class="docutils literal notranslate"><span class="pre">4</span></code>.</p></li>
|
||||
</ul>
|
||||
</dd>
|
||||
</dl>
|
||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
<tr class="row-odd"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">from_linear</span></code>(linear_layer[, group_size, bits])</p></td>
|
||||
<td><p>Create a <a class="reference internal" href="#mlx.nn.QuantizedLinear" title="mlx.nn.QuantizedLinear"><code class="xref py py-obj docutils literal notranslate"><span class="pre">QuantizedLinear</span></code></a> layer from a <a class="reference internal" href="mlx.nn.Linear.html#mlx.nn.Linear" title="mlx.nn.Linear"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Linear</span></code></a> layer.</p></td>
|
||||
</tr>
|
||||
<tr class="row-even"><td><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">unfreeze</span></code>(*args, **kwargs)</p></td>
|
||||
<td><p>Wrap unfreeze so that we unfreeze any layers we might contain but our parameters will remain frozen.</p></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</dd></dl>
|
||||
|
||||
</section>
|
||||
@@ -824,12 +838,12 @@ See <a class="reference internal" href="../../_autosummary/mlx.core.quantize.htm
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<title>mlx.nn.RMSNorm — MLX 0.10.0 documentation</title>
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<title>mlx.nn.RMSNorm — MLX 0.12.0 documentation</title>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.new_stream.html">mlx.core.new_stream</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.cummin.html">mlx.core.cummin</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.dequantize.html">mlx.core.dequantize</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.moveaxis.html">mlx.core.moveaxis</a></li>
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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||||
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||||
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||||
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<p>See <a class="reference internal" href="../_autosummary_functions/mlx.nn.relu.html#mlx.nn.relu" title="mlx.nn.relu"><code class="xref py py-func docutils literal notranslate"><span class="pre">relu()</span></code></a> for the functional equivalent.</p>
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||||
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||||
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||||
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||||
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||||
<p class="rubric">Methods</p>
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||||
<table class="autosummary longtable table autosummary">
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||||
<tbody>
|
||||
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<title>mlx.nn.SELU — MLX 0.10.0 documentation</title>
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<title>mlx.nn.SELU — MLX 0.12.0 documentation</title>
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||||
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||||
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|
||||
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|
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||||
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@@ -784,6 +793,11 @@ document.write(`
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SELU</span></span><a class="headerlink" href="#mlx.nn.SELU" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the Scaled Exponential Linear Unit.</p>
|
||||
<p>See <a class="reference internal" href="../_autosummary_functions/mlx.nn.selu.html#mlx.nn.selu" title="mlx.nn.selu"><code class="xref py py-func docutils literal notranslate"><span class="pre">selu()</span></code></a> for the functional equivalent.</p>
|
||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
</tbody>
|
||||
</table>
|
||||
</dd></dl>
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||||
|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
|
||||
<title>mlx.nn.Sequential — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.Sequential — MLX 0.12.0 documentation</title>
|
||||
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||||
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||||
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||||
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<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.10.0 documentation - Home"/>
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<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.12.0 documentation - Home"/>
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<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.12.0 documentation - Home"/>`);</script>
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||||
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||||
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|
||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.set_cache_limit.html">mlx.core.metal.set_cache_limit</a></li>
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||||
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||||
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||||
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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||||
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.PReLU.html">mlx.nn.PReLU</a></li>
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_flatten.html">mlx.utils.tree_flatten</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_unflatten.html">mlx.utils.tree_unflatten</a></li>
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</li>
|
||||
</ul>
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||||
@@ -791,6 +800,11 @@ our functions have learnable parameters they should be implemented as
|
||||
<dd class="field-odd"><p><strong>modules</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#tuple" title="(in Python v3.12)"><em>tuple</em></a><em> of </em><em>Callables</em>) – The modules to call in order</p>
|
||||
</dd>
|
||||
</dl>
|
||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
</tbody>
|
||||
</table>
|
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</dd></dl>
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||||
</section>
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+18
-4
@@ -8,7 +8,7 @@
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||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
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||||
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||||
<title>mlx.nn.SiLU — MLX 0.10.0 documentation</title>
|
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<title>mlx.nn.SiLU — MLX 0.12.0 documentation</title>
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<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">SiLU</span></span><a class="headerlink" href="#mlx.nn.SiLU" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the Sigmoid Linear Unit. Also known as Swish.</p>
|
||||
<p>See <a class="reference internal" href="../_autosummary_functions/mlx.nn.silu.html#mlx.nn.silu" title="mlx.nn.silu"><code class="xref py py-func docutils literal notranslate"><span class="pre">silu()</span></code></a> for the functional equivalent.</p>
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<title>mlx.nn.SinusoidalPositionalEncoding — MLX 0.10.0 documentation</title>
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||||
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||||
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||||
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||||
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||||
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|
||||
<dd class="field-odd"><p><strong>lambd</strong> – the <span class="math notranslate nohighlight">\(\lambda\)</span> value for Softshrink. Default: <code class="docutils literal notranslate"><span class="pre">0.5</span></code></p>
|
||||
</dd>
|
||||
</dl>
|
||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
</tbody>
|
||||
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||||
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||||
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||||
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||||
<title>mlx.nn.Step — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.Step — MLX 0.12.0 documentation</title>
|
||||
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||||
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||||
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||||
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<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.10.0 documentation - Home"/>
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<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.10.0 documentation - Home"/>`);</script>
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<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.12.0 documentation - Home"/>
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||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.12.0 documentation - Home"/>`);</script>
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||||
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||||
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|
||||
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.synchronize.html">mlx.core.synchronize</a></li>
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||||
</ul>
|
||||
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||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../ops.html">Operations</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.atleast_2d.html">mlx.core.atleast_2d</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.atleast_3d.html">mlx.core.atleast_3d</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.broadcast_to.html">mlx.core.broadcast_to</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.block_masked_mm.html">mlx.core.block_masked_mm</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.ceil.html">mlx.core.ceil</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.clip.html">mlx.core.clip</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.concatenate.html">mlx.core.concatenate</a></li>
|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.cummin.html">mlx.core.cummin</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.cumprod.html">mlx.core.cumprod</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.cumsum.html">mlx.core.cumsum</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.degrees.html">mlx.core.degrees</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.dequantize.html">mlx.core.dequantize</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.diag.html">mlx.core.diag</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.diagonal.html">mlx.core.diagonal</a></li>
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||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.moveaxis.html">mlx.core.moveaxis</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.multiply.html">mlx.core.multiply</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.negative.html">mlx.core.negative</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.not_equal.html">mlx.core.not_equal</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.ones.html">mlx.core.ones</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.ones_like.html">mlx.core.ones_like</a></li>
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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||||
</ul>
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||||
</dd>
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||||
</dl>
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||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
</tbody>
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||||
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||||
<title>mlx.nn.Upsample — MLX 0.10.0 documentation</title>
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||||
<title>mlx.nn.Upsample — MLX 0.12.0 documentation</title>
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.stop_capture.html">mlx.core.metal.stop_capture</a></li>
|
||||
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|
||||
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|
||||
<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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||||
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||||
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|
||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
@@ -844,6 +853,11 @@ examples below for more details. Default: <code class="docutils literal notrans
|
||||
<span class="go"> [3, 3.33333, 3.66667, 4]], dtype=float32)</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="rubric">Methods</p>
|
||||
<table class="autosummary longtable table autosummary">
|
||||
<tbody>
|
||||
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|
||||
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|
||||
</dd></dl>
|
||||
|
||||
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|
||||
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||||
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|
||||
<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.init.constant — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.init.constant — MLX 0.12.0 documentation</title>
|
||||
|
||||
|
||||
|
||||
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|
||||
<link rel="preload" as="script" href="../../../_static/scripts/pydata-sphinx-theme.js?digest=5b4479735964841361fd" />
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||||
<script src="../../../_static/vendor/fontawesome/6.1.2/js/all.min.js?digest=5b4479735964841361fd"></script>
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||||
|
||||
<script src="../../../_static/documentation_options.js?v=cb265169"></script>
|
||||
<script src="../../../_static/documentation_options.js?v=e9e33cf0"></script>
|
||||
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||||
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||||
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||||
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|
||||
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||||
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||||
|
||||
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|
||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.10.0 documentation - Home"/>`);</script>
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.12.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.12.0 documentation - Home"/>`);</script>
|
||||
|
||||
|
||||
</a></div>
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../ops.html">Operations</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.degrees.html">mlx.core.degrees</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.dequantize.html">mlx.core.dequantize</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.diag.html">mlx.core.diag</a></li>
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||||
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|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.moveaxis.html">mlx.core.moveaxis</a></li>
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.radians.html">mlx.core.radians</a></li>
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.set_cache_limit.html">mlx.core.metal.set_cache_limit</a></li>
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||||
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.start_capture.html">mlx.core.metal.start_capture</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.metal.stop_capture.html">mlx.core.metal.stop_capture</a></li>
|
||||
</ul>
|
||||
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|
||||
<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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||||
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||||
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||||
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.PReLU.html">mlx.nn.PReLU</a></li>
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.RMSNorm.html">mlx.nn.RMSNorm</a></li>
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||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_unflatten.html">mlx.utils.tree_unflatten</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_map_with_path.html">mlx.utils.tree_map_with_path</a></li>
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<meta charset="utf-8" />
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||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
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||||
|
||||
<title>mlx.nn.init.glorot_normal — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.init.glorot_normal — MLX 0.12.0 documentation</title>
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.elu"><code class="docutils literal notranslate"><span class="pre">elu()</span></code></a></li>
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.elu"><code class="docutils literal notranslate"><span class="pre">elu</span></code></a></li>
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<section id="mlx-nn-elu">
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<h1>mlx.nn.elu<a class="headerlink" href="#mlx-nn-elu" title="Link to this heading">#</a></h1>
|
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<dl class="py function">
|
||||
<dl class="py class">
|
||||
<dt class="sig sig-object py" id="mlx.nn.elu">
|
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<span class="sig-name descname"><span class="pre">elu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.elu" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">elu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.elu" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the Exponential Linear Unit.</p>
|
||||
<p>Simply <code class="docutils literal notranslate"><span class="pre">mx.where(x</span> <span class="pre">></span> <span class="pre">0,</span> <span class="pre">x,</span> <span class="pre">alpha</span> <span class="pre">*</span> <span class="pre">(mx.exp(x)</span> <span class="pre">-</span> <span class="pre">1))</span></code>.</p>
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|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.elu"><code class="docutils literal notranslate"><span class="pre">elu</span></code></a></li>
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<title>mlx.nn.gelu — MLX 0.10.0 documentation</title>
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<title>mlx.nn.gelu — MLX 0.12.0 documentation</title>
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.gelu"><code class="docutils literal notranslate"><span class="pre">gelu()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.gelu"><code class="docutils literal notranslate"><span class="pre">gelu</span></code></a></li>
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<section id="mlx-nn-gelu">
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<h1>mlx.nn.gelu<a class="headerlink" href="#mlx-nn-gelu" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
|
||||
<dl class="py class">
|
||||
<dt class="sig sig-object py" id="mlx.nn.gelu">
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<span class="sig-name descname"><span class="pre">gelu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.gelu" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">gelu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.gelu" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the Gaussian Error Linear Units function.</p>
|
||||
<div class="math notranslate nohighlight">
|
||||
\[\textrm{GELU}(x) = x * \Phi(x)\]</div>
|
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@@ -837,7 +846,7 @@ approximations.</p>
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|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.gelu"><code class="docutils literal notranslate"><span class="pre">gelu</span></code></a></li>
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<title>mlx.nn.gelu_approx — MLX 0.10.0 documentation</title>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.gelu_approx"><code class="docutils literal notranslate"><span class="pre">gelu_approx()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.gelu_approx"><code class="docutils literal notranslate"><span class="pre">gelu_approx</span></code></a></li>
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<section id="mlx-nn-gelu-approx">
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||||
<h1>mlx.nn.gelu_approx<a class="headerlink" href="#mlx-nn-gelu-approx" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
|
||||
<dl class="py class">
|
||||
<dt class="sig sig-object py" id="mlx.nn.gelu_approx">
|
||||
<span class="sig-name descname"><span class="pre">gelu_approx</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.gelu_approx" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">gelu_approx</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.gelu_approx" title="Link to this definition">#</a></dt>
|
||||
<dd><p>An approximation to Gaussian Error Linear Unit.</p>
|
||||
<p>See <a class="reference internal" href="mlx.nn.gelu.html#mlx.nn.gelu" title="mlx.nn.gelu"><code class="xref py py-func docutils literal notranslate"><span class="pre">gelu()</span></code></a> for the exact computation.</p>
|
||||
<p>This function approximates <code class="docutils literal notranslate"><span class="pre">gelu</span></code> with a maximum absolute error <span class="math notranslate nohighlight">\(<
|
||||
0.0003\)</span> in the range <span class="math notranslate nohighlight">\([-6, 6]\)</span> using the following</p>
|
||||
0.0005\)</span> in the range <span class="math notranslate nohighlight">\([-6, 6]\)</span> using the following</p>
|
||||
<div class="math notranslate nohighlight">
|
||||
\[x = x \sigma\left(1.60033 x \left(1 + 0.0433603 x^2\right)\right)\]</div>
|
||||
<p>where <span class="math notranslate nohighlight">\(\sigma(\cdot)\)</span> is the logistic sigmoid.</p>
|
||||
\[x = 0.5 * x * \left(1 + \text{Tanh}\left((\sqrt{2 / \pi} * \left(x + 0.044715 * x^3\right)\right)\right)\]</div>
|
||||
</dd></dl>
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||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.gelu_approx"><code class="docutils literal notranslate"><span class="pre">gelu_approx()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.gelu_approx"><code class="docutils literal notranslate"><span class="pre">gelu_approx</span></code></a></li>
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<title>mlx.nn.gelu_fast_approx — MLX 0.10.0 documentation</title>
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<title>mlx.nn.gelu_fast_approx — MLX 0.12.0 documentation</title>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.gelu_fast_approx"><code class="docutils literal notranslate"><span class="pre">gelu_fast_approx()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.gelu_fast_approx"><code class="docutils literal notranslate"><span class="pre">gelu_fast_approx</span></code></a></li>
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<section id="mlx-nn-gelu-fast-approx">
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||||
<h1>mlx.nn.gelu_fast_approx<a class="headerlink" href="#mlx-nn-gelu-fast-approx" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
|
||||
<dl class="py class">
|
||||
<dt class="sig sig-object py" id="mlx.nn.gelu_fast_approx">
|
||||
<span class="sig-name descname"><span class="pre">gelu_fast_approx</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.gelu_fast_approx" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">gelu_fast_approx</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.gelu_fast_approx" title="Link to this definition">#</a></dt>
|
||||
<dd><p>A fast approximation to Gaussian Error Linear Unit.</p>
|
||||
<p>See <a class="reference internal" href="mlx.nn.gelu.html#mlx.nn.gelu" title="mlx.nn.gelu"><code class="xref py py-func docutils literal notranslate"><span class="pre">gelu()</span></code></a> for the exact computation.</p>
|
||||
<p>This function approximates <code class="docutils literal notranslate"><span class="pre">gelu</span></code> with a maximum absolute error <span class="math notranslate nohighlight">\(<
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.gelu_fast_approx"><code class="docutils literal notranslate"><span class="pre">gelu_fast_approx()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.gelu_fast_approx"><code class="docutils literal notranslate"><span class="pre">gelu_fast_approx</span></code></a></li>
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<title>mlx.nn.glu — MLX 0.10.0 documentation</title>
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||||
<title>mlx.nn.glu — MLX 0.12.0 documentation</title>
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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<section id="mlx-nn-glu">
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<h1>mlx.nn.glu<a class="headerlink" href="#mlx-nn-glu" title="Link to this heading">#</a></h1>
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<dl class="py function">
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<span class="sig-name descname"><span class="pre">glu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.glu" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">glu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.glu" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the gated linear unit function.</p>
|
||||
<p>This function splits the <code class="docutils literal notranslate"><span class="pre">axis</span></code> dimension of the input into two halves
|
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(<span class="math notranslate nohighlight">\(a\)</span> and <span class="math notranslate nohighlight">\(b\)</span>) and applies <span class="math notranslate nohighlight">\(a * \sigma(b)\)</span>.</p>
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<section id="mlx-nn-hardswish">
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||||
<h1>mlx.nn.hardswish<a class="headerlink" href="#mlx-nn-hardswish" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
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<span class="sig-name descname"><span class="pre">hardswish</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.hardswish" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hardswish</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.hardswish" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the hardswish function, element-wise.</p>
|
||||
<div class="math notranslate nohighlight">
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||||
\[\text{Hardswish}(x) = x * \min(\max(x + 3, 0), 6) / 6\]</div>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.hardswish"><code class="docutils literal notranslate"><span class="pre">hardswish</span></code></a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.leaky_relu"><code class="docutils literal notranslate"><span class="pre">leaky_relu()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.leaky_relu"><code class="docutils literal notranslate"><span class="pre">leaky_relu</span></code></a></li>
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<section id="mlx-nn-leaky-relu">
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<h1>mlx.nn.leaky_relu<a class="headerlink" href="#mlx-nn-leaky-relu" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
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<dl class="py class">
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<span class="sig-name descname"><span class="pre">leaky_relu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">negative_slope</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.01</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.leaky_relu" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">leaky_relu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">negative_slope</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">0.01</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.leaky_relu" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the Leaky Rectified Linear Unit.</p>
|
||||
<p>Simply <code class="docutils literal notranslate"><span class="pre">mx.maximum(negative_slope</span> <span class="pre">*</span> <span class="pre">x,</span> <span class="pre">x)</span></code>.</p>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.leaky_relu"><code class="docutils literal notranslate"><span class="pre">leaky_relu()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.leaky_relu"><code class="docutils literal notranslate"><span class="pre">leaky_relu</span></code></a></li>
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<title>mlx.nn.log_sigmoid — MLX 0.10.0 documentation</title>
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<title>mlx.nn.log_sigmoid — MLX 0.12.0 documentation</title>
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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<section id="mlx-nn-log-sigmoid">
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<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">log_sigmoid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.log_sigmoid" title="Link to this definition">#</a></dt>
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<dd><p>Applies the Log Sigmoid function.</p>
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.log_sigmoid"><code class="docutils literal notranslate"><span class="pre">log_sigmoid</span></code></a></li>
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<section id="mlx-nn-log-softmax">
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<h1>mlx.nn.log_softmax<a class="headerlink" href="#mlx-nn-log-softmax" title="Link to this heading">#</a></h1>
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<span class="sig-name descname"><span class="pre">log_softmax</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.log_softmax" title="Link to this definition">#</a></dt>
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<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">log_softmax</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.log_softmax" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the Log Softmax function.</p>
|
||||
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.log_softmax"><code class="docutils literal notranslate"><span class="pre">log_softmax</span></code></a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.binary_cross_entropy"><code class="docutils literal notranslate"><span class="pre">binary_cross_entropy()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.binary_cross_entropy"><code class="docutils literal notranslate"><span class="pre">binary_cross_entropy</span></code></a></li>
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<section id="mlx-nn-losses-binary-cross-entropy">
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||||
<h1>mlx.nn.losses.binary_cross_entropy<a class="headerlink" href="#mlx-nn-losses-binary-cross-entropy" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
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||||
<dl class="py class">
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||||
<dt class="sig sig-object py" id="mlx.nn.losses.binary_cross_entropy">
|
||||
<span class="sig-name descname"><span class="pre">binary_cross_entropy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_logits</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/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mean'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.losses.binary_cross_entropy" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">binary_cross_entropy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">with_logits</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/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mean'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.losses.binary_cross_entropy" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Computes the binary cross entropy loss.</p>
|
||||
<dl class="field-list simple">
|
||||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||||
@@ -869,7 +878,7 @@ document.write(`
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.binary_cross_entropy"><code class="docutils literal notranslate"><span class="pre">binary_cross_entropy()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.binary_cross_entropy"><code class="docutils literal notranslate"><span class="pre">binary_cross_entropy</span></code></a></li>
|
||||
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||||
<title>mlx.nn.losses.cosine_similarity_loss — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.losses.cosine_similarity_loss — MLX 0.12.0 documentation</title>
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<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.10.0 documentation - Home"/>
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@@ -241,6 +241,7 @@
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../ops.html">Operations</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.cosine_similarity_loss"><code class="docutils literal notranslate"><span class="pre">cosine_similarity_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.cosine_similarity_loss"><code class="docutils literal notranslate"><span class="pre">cosine_similarity_loss</span></code></a></li>
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<section id="mlx-nn-losses-cosine-similarity-loss">
|
||||
<h1>mlx.nn.losses.cosine_similarity_loss<a class="headerlink" href="#mlx-nn-losses-cosine-similarity-loss" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
|
||||
<dl class="py class">
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||||
<dt class="sig sig-object py" id="mlx.nn.losses.cosine_similarity_loss">
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||||
<span class="sig-name descname"><span class="pre">cosine_similarity_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.losses.cosine_similarity_loss" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">cosine_similarity_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">x2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-08</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.losses.cosine_similarity_loss" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Computes the cosine similarity between the two inputs.</p>
|
||||
<p>The cosine similarity loss is given by</p>
|
||||
<div class="math notranslate nohighlight">
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||||
@@ -854,7 +863,7 @@ numerical stability. Default: <code class="docutils literal notranslate"><span c
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||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.cosine_similarity_loss"><code class="docutils literal notranslate"><span class="pre">cosine_similarity_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.cosine_similarity_loss"><code class="docutils literal notranslate"><span class="pre">cosine_similarity_loss</span></code></a></li>
|
||||
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||||
<title>mlx.nn.losses.cross_entropy — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.losses.cross_entropy — MLX 0.12.0 documentation</title>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../ops.html">Operations</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.cross_entropy"><code class="docutils literal notranslate"><span class="pre">cross_entropy()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.cross_entropy"><code class="docutils literal notranslate"><span class="pre">cross_entropy</span></code></a></li>
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<section id="mlx-nn-losses-cross-entropy">
|
||||
<h1>mlx.nn.losses.cross_entropy<a class="headerlink" href="#mlx-nn-losses-cross-entropy" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
|
||||
<dl class="py class">
|
||||
<dt class="sig sig-object py" id="mlx.nn.losses.cross_entropy">
|
||||
<span class="sig-name descname"><span class="pre">cross_entropy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logits</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_smoothing</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.losses.cross_entropy" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">cross_entropy</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">logits</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.12)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">label_smoothing</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.losses.cross_entropy" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Computes the cross entropy loss.</p>
|
||||
<dl class="field-list simple">
|
||||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||||
@@ -872,7 +881,7 @@ the <code class="docutils literal notranslate"><span class="pre">logits</span></
|
||||
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||||
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||||
<ul class="visible nav section-nav flex-column">
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.cross_entropy"><code class="docutils literal notranslate"><span class="pre">cross_entropy()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.cross_entropy"><code class="docutils literal notranslate"><span class="pre">cross_entropy</span></code></a></li>
|
||||
</ul>
|
||||
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||||
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||||
<title>mlx.nn.losses.gaussian_nll_loss — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.losses.gaussian_nll_loss — MLX 0.12.0 documentation</title>
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||||
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||||
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@@ -36,7 +36,7 @@
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../ops.html">Operations</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.gaussian_nll_loss"><code class="docutils literal notranslate"><span class="pre">gaussian_nll_loss()</span></code></a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.gaussian_nll_loss"><code class="docutils literal notranslate"><span class="pre">gaussian_nll_loss</span></code></a></li>
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<section id="mlx-nn-losses-gaussian-nll-loss">
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<h1>mlx.nn.losses.gaussian_nll_loss<a class="headerlink" href="#mlx-nn-losses-gaussian-nll-loss" title="Link to this heading">#</a></h1>
|
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<dl class="py function">
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<dl class="py class">
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<dt class="sig sig-object py" id="mlx.nn.losses.gaussian_nll_loss">
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<span class="sig-name descname"><span class="pre">gaussian_nll_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">vars</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">full</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/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-06</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mean'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.losses.gaussian_nll_loss" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">gaussian_nll_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">vars</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">full</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/functions.html#bool" title="(in Python v3.12)"><span class="pre">bool</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-06</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mean'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.losses.gaussian_nll_loss" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Computes the negative log likelihood loss for a Gaussian distribution.</p>
|
||||
<p>The loss is given by:</p>
|
||||
<div class="math notranslate nohighlight">
|
||||
@@ -860,7 +869,7 @@ Default: <code class="docutils literal notranslate"><span class="pre">1e-6</span
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.gaussian_nll_loss"><code class="docutils literal notranslate"><span class="pre">gaussian_nll_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.gaussian_nll_loss"><code class="docutils literal notranslate"><span class="pre">gaussian_nll_loss</span></code></a></li>
|
||||
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||||
<title>mlx.nn.losses.hinge_loss — MLX 0.10.0 documentation</title>
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||||
<title>mlx.nn.losses.hinge_loss — MLX 0.12.0 documentation</title>
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<ul class="visible nav section-nav flex-column">
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.hinge_loss"><code class="docutils literal notranslate"><span class="pre">hinge_loss()</span></code></a></li>
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.hinge_loss"><code class="docutils literal notranslate"><span class="pre">hinge_loss</span></code></a></li>
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<section id="mlx-nn-losses-hinge-loss">
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<h1>mlx.nn.losses.hinge_loss<a class="headerlink" href="#mlx-nn-losses-hinge-loss" title="Link to this heading">#</a></h1>
|
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<dl class="py function">
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<dl class="py class">
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<dt class="sig sig-object py" id="mlx.nn.losses.hinge_loss">
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<span class="sig-name descname"><span class="pre">hinge_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.losses.hinge_loss" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">hinge_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.losses.hinge_loss" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Computes the hinge loss between inputs and targets.</p>
|
||||
<div class="math notranslate nohighlight">
|
||||
\[\text{hinge}(y, y_{\text{pred}}) = \max(0, 1 - y \cdot y_{\text{pred}})\]</div>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.hinge_loss"><code class="docutils literal notranslate"><span class="pre">hinge_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.hinge_loss"><code class="docutils literal notranslate"><span class="pre">hinge_loss</span></code></a></li>
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<title>mlx.nn.losses.huber_loss — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.losses.huber_loss — MLX 0.12.0 documentation</title>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.huber_loss"><code class="docutils literal notranslate"><span class="pre">huber_loss()</span></code></a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.huber_loss"><code class="docutils literal notranslate"><span class="pre">huber_loss</span></code></a></li>
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<section id="mlx-nn-losses-huber-loss">
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<h1>mlx.nn.losses.huber_loss<a class="headerlink" href="#mlx-nn-losses-huber-loss" title="Link to this heading">#</a></h1>
|
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<dl class="py function">
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<dl class="py class">
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<dt class="sig sig-object py" id="mlx.nn.losses.huber_loss">
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<span class="sig-name descname"><span class="pre">huber_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">delta</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.losses.huber_loss" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">huber_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">delta</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.losses.huber_loss" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Computes the Huber loss between inputs and targets.</p>
|
||||
<div class="math notranslate nohighlight">
|
||||
\[\begin{split}l_{\delta}(a) =
|
||||
@@ -856,7 +865,7 @@ Default: <code class="docutils literal notranslate"><span class="pre">1.0</span>
|
||||
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|
||||
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|
||||
<ul class="visible nav section-nav flex-column">
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.huber_loss"><code class="docutils literal notranslate"><span class="pre">huber_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.huber_loss"><code class="docutils literal notranslate"><span class="pre">huber_loss</span></code></a></li>
|
||||
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|
||||
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|
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|
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|
||||
|
||||
<title>mlx.nn.losses.kl_div_loss — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.losses.kl_div_loss — MLX 0.12.0 documentation</title>
|
||||
|
||||
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||||
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||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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<ul class="visible nav section-nav flex-column">
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.kl_div_loss"><code class="docutils literal notranslate"><span class="pre">kl_div_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.kl_div_loss"><code class="docutils literal notranslate"><span class="pre">kl_div_loss</span></code></a></li>
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<section id="mlx-nn-losses-kl-div-loss">
|
||||
<h1>mlx.nn.losses.kl_div_loss<a class="headerlink" href="#mlx-nn-losses-kl-div-loss" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
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<dl class="py class">
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<dt class="sig sig-object py" id="mlx.nn.losses.kl_div_loss">
|
||||
<span class="sig-name descname"><span class="pre">kl_div_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.losses.kl_div_loss" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">kl_div_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.losses.kl_div_loss" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Computes the Kullback-Leibler divergence loss.</p>
|
||||
<p>Computes the following when <code class="docutils literal notranslate"><span class="pre">reduction</span> <span class="pre">==</span> <span class="pre">'none'</span></code>:</p>
|
||||
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">mx</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="n">targets</span><span class="p">)</span> <span class="o">*</span> <span class="p">(</span><span class="n">targets</span> <span class="o">-</span> <span class="n">inputs</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">(</span><span class="n">axis</span><span class="p">)</span>
|
||||
@@ -852,7 +861,7 @@ document.write(`
|
||||
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||||
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|
||||
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|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.kl_div_loss"><code class="docutils literal notranslate"><span class="pre">kl_div_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.kl_div_loss"><code class="docutils literal notranslate"><span class="pre">kl_div_loss</span></code></a></li>
|
||||
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|
||||
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|
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||||
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|
||||
|
||||
<title>mlx.nn.losses.l1_loss — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.losses.l1_loss — MLX 0.12.0 documentation</title>
|
||||
|
||||
|
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||||
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|
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|
||||
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|
||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.10.0 documentation - Home"/>`);</script>
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.12.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo_dark.png" class="logo__image only-dark" alt="MLX 0.12.0 documentation - Home"/>`);</script>
|
||||
|
||||
|
||||
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|
||||
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|
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|
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|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.synchronize.html">mlx.core.synchronize</a></li>
|
||||
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|
||||
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|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../ops.html">Operations</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
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||||
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|
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|
||||
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|
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|
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|
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
|
||||
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||||
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|
||||
<li class="toctree-l2 has-children"><a class="reference internal" href="../module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-12" name="toctree-checkbox-12" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-12"><i class="fa-solid fa-chevron-down"></i></label><ul>
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@@ -591,6 +599,7 @@
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@@ -765,7 +774,7 @@ document.write(`
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||||
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||||
<nav aria-label="Page">
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||||
<ul class="visible nav section-nav flex-column">
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.l1_loss"><code class="docutils literal notranslate"><span class="pre">l1_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.l1_loss"><code class="docutils literal notranslate"><span class="pre">l1_loss</span></code></a></li>
|
||||
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@@ -779,9 +788,9 @@ document.write(`
|
||||
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||||
<section id="mlx-nn-losses-l1-loss">
|
||||
<h1>mlx.nn.losses.l1_loss<a class="headerlink" href="#mlx-nn-losses-l1-loss" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
|
||||
<dl class="py class">
|
||||
<dt class="sig sig-object py" id="mlx.nn.losses.l1_loss">
|
||||
<span class="sig-name descname"><span class="pre">l1_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predictions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mean'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.losses.l1_loss" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">l1_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predictions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mean'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.losses.l1_loss" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Computes the L1 loss.</p>
|
||||
<dl class="field-list simple">
|
||||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||||
@@ -847,7 +856,7 @@ document.write(`
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||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.l1_loss"><code class="docutils literal notranslate"><span class="pre">l1_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.l1_loss"><code class="docutils literal notranslate"><span class="pre">l1_loss</span></code></a></li>
|
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||||
<title>mlx.nn.losses.log_cosh_loss — MLX 0.10.0 documentation</title>
|
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<title>mlx.nn.losses.log_cosh_loss — MLX 0.12.0 documentation</title>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.log_cosh_loss"><code class="docutils literal notranslate"><span class="pre">log_cosh_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.log_cosh_loss"><code class="docutils literal notranslate"><span class="pre">log_cosh_loss</span></code></a></li>
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<section id="mlx-nn-losses-log-cosh-loss">
|
||||
<h1>mlx.nn.losses.log_cosh_loss<a class="headerlink" href="#mlx-nn-losses-log-cosh-loss" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
|
||||
<dl class="py class">
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||||
<dt class="sig sig-object py" id="mlx.nn.losses.log_cosh_loss">
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||||
<span class="sig-name descname"><span class="pre">log_cosh_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.losses.log_cosh_loss" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">log_cosh_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.losses.log_cosh_loss" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Computes the log cosh loss between inputs and targets.</p>
|
||||
<p>Logcosh acts like L2 loss for small errors, ensuring stable gradients,
|
||||
and like the L1 loss for large errors, reducing sensitivity to outliers. This
|
||||
@@ -855,7 +864,7 @@ dual behavior offers a balanced, robust approach for regression tasks.</p>
|
||||
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||||
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<ul class="visible nav section-nav flex-column">
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||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.log_cosh_loss"><code class="docutils literal notranslate"><span class="pre">log_cosh_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.log_cosh_loss"><code class="docutils literal notranslate"><span class="pre">log_cosh_loss</span></code></a></li>
|
||||
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||||
<title>mlx.nn.losses.margin_ranking_loss — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.losses.margin_ranking_loss — MLX 0.12.0 documentation</title>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.synchronize.html">mlx.core.synchronize</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../ops.html">Operations</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.atleast_3d.html">mlx.core.atleast_3d</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.block_masked_mm.html">mlx.core.block_masked_mm</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.clip.html">mlx.core.clip</a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.margin_ranking_loss"><code class="docutils literal notranslate"><span class="pre">margin_ranking_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.margin_ranking_loss"><code class="docutils literal notranslate"><span class="pre">margin_ranking_loss</span></code></a></li>
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<section id="mlx-nn-losses-margin-ranking-loss">
|
||||
<h1>mlx.nn.losses.margin_ranking_loss<a class="headerlink" href="#mlx-nn-losses-margin-ranking-loss" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
|
||||
<dl class="py class">
|
||||
<dt class="sig sig-object py" id="mlx.nn.losses.margin_ranking_loss">
|
||||
<span class="sig-name descname"><span class="pre">margin_ranking_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">inputs2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">margin</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.losses.margin_ranking_loss" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">margin_ranking_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">inputs2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">margin</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.losses.margin_ranking_loss" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Calculate the margin ranking loss that loss given inputs <span class="math notranslate nohighlight">\(x_1\)</span>, <span class="math notranslate nohighlight">\(x_2\)</span> and a label
|
||||
<span class="math notranslate nohighlight">\(y\)</span> (containing 1 or -1).</p>
|
||||
<p>The loss is given by:</p>
|
||||
@@ -869,7 +878,7 @@ Default: <code class="docutils literal notranslate"><span class="pre">0.0</span>
|
||||
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||||
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||||
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|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.margin_ranking_loss"><code class="docutils literal notranslate"><span class="pre">margin_ranking_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.margin_ranking_loss"><code class="docutils literal notranslate"><span class="pre">margin_ranking_loss</span></code></a></li>
|
||||
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||||
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||||
<title>mlx.nn.losses.mse_loss — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.losses.mse_loss — MLX 0.12.0 documentation</title>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.mse_loss"><code class="docutils literal notranslate"><span class="pre">mse_loss()</span></code></a></li>
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.mse_loss"><code class="docutils literal notranslate"><span class="pre">mse_loss</span></code></a></li>
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<section id="mlx-nn-losses-mse-loss">
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<h1>mlx.nn.losses.mse_loss<a class="headerlink" href="#mlx-nn-losses-mse-loss" title="Link to this heading">#</a></h1>
|
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<dl class="py function">
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<dl class="py class">
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<dt class="sig sig-object py" id="mlx.nn.losses.mse_loss">
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||||
<span class="sig-name descname"><span class="pre">mse_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predictions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mean'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.losses.mse_loss" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">mse_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predictions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mean'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.losses.mse_loss" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Computes the mean squared error loss.</p>
|
||||
<dl class="field-list simple">
|
||||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||||
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.mse_loss"><code class="docutils literal notranslate"><span class="pre">mse_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.mse_loss"><code class="docutils literal notranslate"><span class="pre">mse_loss</span></code></a></li>
|
||||
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||||
<title>mlx.nn.losses.nll_loss — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.losses.nll_loss — MLX 0.12.0 documentation</title>
|
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<ul class="visible nav section-nav flex-column">
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.nll_loss"><code class="docutils literal notranslate"><span class="pre">nll_loss()</span></code></a></li>
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.nll_loss"><code class="docutils literal notranslate"><span class="pre">nll_loss</span></code></a></li>
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<section id="mlx-nn-losses-nll-loss">
|
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<h1>mlx.nn.losses.nll_loss<a class="headerlink" href="#mlx-nn-losses-nll-loss" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
|
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<dl class="py class">
|
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<dt class="sig sig-object py" id="mlx.nn.losses.nll_loss">
|
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<span class="sig-name descname"><span class="pre">nll_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.losses.nll_loss" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">nll_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">inputs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.losses.nll_loss" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Computes the negative log likelihood loss.</p>
|
||||
<dl class="field-list simple">
|
||||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||||
@@ -848,7 +857,7 @@ document.write(`
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||||
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||||
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|
||||
<ul class="visible nav section-nav flex-column">
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.nll_loss"><code class="docutils literal notranslate"><span class="pre">nll_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.nll_loss"><code class="docutils literal notranslate"><span class="pre">nll_loss</span></code></a></li>
|
||||
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|
||||
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|
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|
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||||
<title>mlx.nn.losses.smooth_l1_loss — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.losses.smooth_l1_loss — MLX 0.12.0 documentation</title>
|
||||
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|
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|
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|
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|
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.smooth_l1_loss"><code class="docutils literal notranslate"><span class="pre">smooth_l1_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.smooth_l1_loss"><code class="docutils literal notranslate"><span class="pre">smooth_l1_loss</span></code></a></li>
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@@ -780,9 +789,9 @@ document.write(`
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<section id="mlx-nn-losses-smooth-l1-loss">
|
||||
<h1>mlx.nn.losses.smooth_l1_loss<a class="headerlink" href="#mlx-nn-losses-smooth-l1-loss" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
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||||
<dl class="py class">
|
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<dt class="sig sig-object py" id="mlx.nn.losses.smooth_l1_loss">
|
||||
<span class="sig-name descname"><span class="pre">smooth_l1_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predictions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mean'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.losses.smooth_l1_loss" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">smooth_l1_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">predictions</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">targets</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mean'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.losses.smooth_l1_loss" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Computes the smooth L1 loss.</p>
|
||||
<p>The smooth L1 loss is a variant of the L1 loss which replaces the absolute
|
||||
difference with a squared difference when the absolute difference is less
|
||||
@@ -859,7 +868,7 @@ from the squared to the absolute difference. Default: <code class="docutils lite
|
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|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.smooth_l1_loss"><code class="docutils literal notranslate"><span class="pre">smooth_l1_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.smooth_l1_loss"><code class="docutils literal notranslate"><span class="pre">smooth_l1_loss</span></code></a></li>
|
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|
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||||
<title>mlx.nn.losses.triplet_loss — MLX 0.10.0 documentation</title>
|
||||
<title>mlx.nn.losses.triplet_loss — MLX 0.12.0 documentation</title>
|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
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|
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|
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|
||||
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|
||||
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|
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|
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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||||
</div>
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<nav aria-label="Page">
|
||||
<ul class="visible nav section-nav flex-column">
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.triplet_loss"><code class="docutils literal notranslate"><span class="pre">triplet_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.triplet_loss"><code class="docutils literal notranslate"><span class="pre">triplet_loss</span></code></a></li>
|
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|
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|
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@@ -780,9 +789,9 @@ document.write(`
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||||
<section id="mlx-nn-losses-triplet-loss">
|
||||
<h1>mlx.nn.losses.triplet_loss<a class="headerlink" href="#mlx-nn-losses-triplet-loss" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
|
||||
<dl class="py class">
|
||||
<dt class="sig sig-object py" id="mlx.nn.losses.triplet_loss">
|
||||
<span class="sig-name descname"><span class="pre">triplet_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">anchors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">positives</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">negatives</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">margin</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-06</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.losses.triplet_loss" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">triplet_loss</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">anchors</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">positives</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">negatives</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">p</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/functions.html#int" title="(in Python v3.12)"><span class="pre">int</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">margin</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eps</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">1e-06</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">reduction</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/typing.html#typing.Literal" title="(in Python v3.12)"><span class="pre">Literal</span></a><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'none'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'mean'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'sum'</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'none'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.losses.triplet_loss" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Computes the triplet loss for a set of anchor, positive, and negative samples.
|
||||
Margin is represented with alpha in the math section.</p>
|
||||
<div class="math notranslate nohighlight">
|
||||
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|
||||
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||||
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||||
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||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.triplet_loss"><code class="docutils literal notranslate"><span class="pre">triplet_loss()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.losses.triplet_loss"><code class="docutils literal notranslate"><span class="pre">triplet_loss</span></code></a></li>
|
||||
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||||
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||||
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||||
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.mish"><code class="docutils literal notranslate"><span class="pre">mish()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.mish"><code class="docutils literal notranslate"><span class="pre">mish</span></code></a></li>
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<section id="mlx-nn-mish">
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||||
<h1>mlx.nn.mish<a class="headerlink" href="#mlx-nn-mish" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
|
||||
<dl class="py class">
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||||
<dt class="sig sig-object py" id="mlx.nn.mish">
|
||||
<span class="sig-name descname"><span class="pre">mish</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.mish" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">mish</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.mish" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the Mish function, element-wise.</p>
|
||||
<p>Mish: A Self Regularized Non-Monotonic Neural Activation Function.</p>
|
||||
<p>Reference: <a class="reference external" href="https://arxiv.org/abs/1908.08681">https://arxiv.org/abs/1908.08681</a></p>
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|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.mish"><code class="docutils literal notranslate"><span class="pre">mish</span></code></a></li>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.prelu"><code class="docutils literal notranslate"><span class="pre">prelu</span></code></a></li>
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<section id="mlx-nn-prelu">
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<h1>mlx.nn.prelu<a class="headerlink" href="#mlx-nn-prelu" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
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||||
<dl class="py class">
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||||
<span class="sig-name descname"><span class="pre">prelu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></span><a class="headerlink" href="#mlx.nn.prelu" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">prelu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.prelu" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the element-wise parametric ReLU.</p>
|
||||
<div class="math notranslate nohighlight">
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||||
\[\text{PReLU}(x) = \max(0,x) + a * \min(0,x)\]</div>
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|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.prelu"><code class="docutils literal notranslate"><span class="pre">prelu</span></code></a></li>
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<title>mlx.nn.relu — MLX 0.10.0 documentation</title>
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<title>mlx.nn.relu — MLX 0.12.0 documentation</title>
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<dl class="py function">
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<span class="sig-name descname"><span class="pre">relu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.relu" title="Link to this definition">#</a></dt>
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|
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<dd><p>Applies the Rectified Linear Unit.</p>
|
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<p>Simply <code class="docutils literal notranslate"><span class="pre">mx.maximum(x,</span> <span class="pre">0)</span></code>.</p>
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<section id="mlx-nn-relu6">
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<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">relu6</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.relu6" title="Link to this definition">#</a></dt>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.selu"><code class="docutils literal notranslate"><span class="pre">selu()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.selu"><code class="docutils literal notranslate"><span class="pre">selu</span></code></a></li>
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<section id="mlx-nn-selu">
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<h1>mlx.nn.selu<a class="headerlink" href="#mlx-nn-selu" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
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<span class="sig-name descname"><span class="pre">selu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.selu" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">selu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.selu" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the Scaled Exponential Linear Unit.</p>
|
||||
<div class="math notranslate nohighlight">
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||||
\[\begin{split}\text{selu}(x) = \begin{cases}
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||||
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<title>mlx.nn.sigmoid — MLX 0.10.0 documentation</title>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.sigmoid"><code class="docutils literal notranslate"><span class="pre">sigmoid()</span></code></a></li>
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.sigmoid"><code class="docutils literal notranslate"><span class="pre">sigmoid</span></code></a></li>
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<section id="mlx-nn-sigmoid">
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<h1>mlx.nn.sigmoid<a class="headerlink" href="#mlx-nn-sigmoid" title="Link to this heading">#</a></h1>
|
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<dl class="py function">
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||||
<dl class="py class">
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<dt class="sig sig-object py" id="mlx.nn.sigmoid">
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<span class="sig-name descname"><span class="pre">sigmoid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.sigmoid" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">sigmoid</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.sigmoid" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the sigmoid function.</p>
|
||||
<div class="math notranslate nohighlight">
|
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\[\text{Sigmoid}(x) = \sigma(x) = \frac{1}{1 + \exp(-x)}\]</div>
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.sigmoid"><code class="docutils literal notranslate"><span class="pre">sigmoid</span></code></a></li>
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<title>mlx.nn.silu — MLX 0.10.0 documentation</title>
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.silu"><code class="docutils literal notranslate"><span class="pre">silu</span></code></a></li>
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<section id="mlx-nn-silu">
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<h1>mlx.nn.silu<a class="headerlink" href="#mlx-nn-silu" title="Link to this heading">#</a></h1>
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||||
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<span class="sig-name descname"><span class="pre">silu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.silu" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">silu</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.silu" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the Sigmoid Linear Unit. Also known as Swish.</p>
|
||||
<p>Applies <span class="math notranslate nohighlight">\(x \sigma(x)\)</span> element wise, where <span class="math notranslate nohighlight">\(\sigma(\cdot)\)</span> is
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.silu"><code class="docutils literal notranslate"><span class="pre">silu</span></code></a></li>
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<title>mlx.nn.softmax — MLX 0.10.0 documentation</title>
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<title>mlx.nn.softmax — MLX 0.12.0 documentation</title>
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|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.softmax"><code class="docutils literal notranslate"><span class="pre">softmax</span></code></a></li>
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<section id="mlx-nn-softmax">
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||||
<h1>mlx.nn.softmax<a class="headerlink" href="#mlx-nn-softmax" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
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||||
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||||
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||||
<span class="sig-name descname"><span class="pre">softmax</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.softmax" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">softmax</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">axis</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">-1</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.softmax" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the Softmax function.</p>
|
||||
<p>Applies <span class="math notranslate nohighlight">\(\frac{e^{x_i}}{\sum_j e^{x_j}}\)</span> element wise.</p>
|
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|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.softmax"><code class="docutils literal notranslate"><span class="pre">softmax</span></code></a></li>
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<title>mlx.nn.softplus — MLX 0.10.0 documentation</title>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.multiply.html">mlx.core.multiply</a></li>
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|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.softplus"><code class="docutils literal notranslate"><span class="pre">softplus</span></code></a></li>
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<section id="mlx-nn-softplus">
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<h1>mlx.nn.softplus<a class="headerlink" href="#mlx-nn-softplus" title="Link to this heading">#</a></h1>
|
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<dl class="py function">
|
||||
<dl class="py class">
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<dt class="sig sig-object py" id="mlx.nn.softplus">
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<span class="sig-name descname"><span class="pre">softplus</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.softplus" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">softplus</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.softplus" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the Softplus function.</p>
|
||||
<p>Applies <span class="math notranslate nohighlight">\(\log(1 + \exp(x))\)</span> element wise.</p>
|
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|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.softplus"><code class="docutils literal notranslate"><span class="pre">softplus</span></code></a></li>
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<title>mlx.nn.softshrink — MLX 0.10.0 documentation</title>
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|
||||
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|
||||
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||||
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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||||
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|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.softshrink"><code class="docutils literal notranslate"><span class="pre">softshrink()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.softshrink"><code class="docutils literal notranslate"><span class="pre">softshrink</span></code></a></li>
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<section id="mlx-nn-softshrink">
|
||||
<h1>mlx.nn.softshrink<a class="headerlink" href="#mlx-nn-softshrink" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
|
||||
<dl class="py class">
|
||||
<dt class="sig sig-object py" id="mlx.nn.softshrink">
|
||||
<span class="sig-name descname"><span class="pre">softshrink</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lambd</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.softshrink" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">softshrink</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">lambd</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.softshrink" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the Softshrink activation function.</p>
|
||||
<div class="math notranslate nohighlight">
|
||||
\[\begin{split}\text{softshrink}(x) = \begin{cases}
|
||||
@@ -838,7 +847,7 @@ x + \lambda & \text{if } x < -\lambda \\
|
||||
</div>
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||||
<nav class="bd-toc-nav page-toc">
|
||||
<ul class="visible nav section-nav flex-column">
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.softshrink"><code class="docutils literal notranslate"><span class="pre">softshrink()</span></code></a></li>
|
||||
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.step"><code class="docutils literal notranslate"><span class="pre">step()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.step"><code class="docutils literal notranslate"><span class="pre">step</span></code></a></li>
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<section id="mlx-nn-step">
|
||||
<h1>mlx.nn.step<a class="headerlink" href="#mlx-nn-step" title="Link to this heading">#</a></h1>
|
||||
<dl class="py function">
|
||||
<dl class="py class">
|
||||
<dt class="sig sig-object py" id="mlx.nn.step">
|
||||
<span class="sig-name descname"><span class="pre">step</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.step" title="Link to this definition">#</a></dt>
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">step</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><span class="pre">array</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">threshold</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/functions.html#float" title="(in Python v3.12)"><span class="pre">float</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.0</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.step" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the Step Activation Function.</p>
|
||||
<p>This function implements a binary step activation, where the output is set
|
||||
to 1 if the input is greater than a specified threshold, and 0 otherwise.</p>
|
||||
@@ -844,7 +853,7 @@ to 1 if the input is greater than a specified threshold, and 0 otherwise.</p>
|
||||
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||||
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|
||||
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|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.step"><code class="docutils literal notranslate"><span class="pre">step()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.step"><code class="docutils literal notranslate"><span class="pre">step</span></code></a></li>
|
||||
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||||
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|
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|
||||
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|
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|
||||
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</ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../ops.html">Operations</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
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@@ -264,6 +265,7 @@
|
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|
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.atleast_3d.html">mlx.core.atleast_3d</a></li>
|
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.block_masked_mm.html">mlx.core.block_masked_mm</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.ceil.html">mlx.core.ceil</a></li>
|
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.clip.html">mlx.core.clip</a></li>
|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.diag.html">mlx.core.diag</a></li>
|
||||
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|
||||
@@ -325,6 +328,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.moveaxis.html">mlx.core.moveaxis</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.multiply.html">mlx.core.multiply</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.negative.html">mlx.core.negative</a></li>
|
||||
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.tanh"><code class="docutils literal notranslate"><span class="pre">tanh()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.tanh"><code class="docutils literal notranslate"><span class="pre">tanh</span></code></a></li>
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<section id="mlx-nn-tanh">
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<h1>mlx.nn.tanh<a class="headerlink" href="#mlx-nn-tanh" title="Link to this heading">#</a></h1>
|
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<dl class="py function">
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||||
<dt class="sig sig-object py" id="mlx.nn.tanh">
|
||||
<span class="sig-name descname"><span class="pre">tanh</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.tanh" title="Link to this definition">#</a></dt>
|
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<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">tanh</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">x</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#mlx.nn.tanh" title="Link to this definition">#</a></dt>
|
||||
<dd><p>Applies the hyperbolic tangent function.</p>
|
||||
<p>Simply <code class="docutils literal notranslate"><span class="pre">mx.tanh(x)</span></code>.</p>
|
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<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.tanh"><code class="docutils literal notranslate"><span class="pre">tanh()</span></code></a></li>
|
||||
<li class="toc-h2 nav-item toc-entry"><a class="reference internal nav-link" href="#mlx.nn.tanh"><code class="docutils literal notranslate"><span class="pre">tanh</span></code></a></li>
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<title>Functions — MLX 0.10.0 documentation</title>
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<img src="../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.12.0 documentation - Home"/>
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.synchronize.html">mlx.core.synchronize</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../ops.html">Operations</a><input class="toctree-checkbox" id="toctree-checkbox-4" name="toctree-checkbox-4" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-4"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.degrees.html">mlx.core.degrees</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.dequantize.html">mlx.core.dequantize</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.not_equal.html">mlx.core.not_equal</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.ones.html">mlx.core.ones</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.ones_like.html">mlx.core.ones_like</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.prod.html">mlx.core.prod</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.quantize.html">mlx.core.quantize</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.quantized_matmul.html">mlx.core.quantized_matmul</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.radians.html">mlx.core.radians</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.reciprocal.html">mlx.core.reciprocal</a></li>
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@@ -436,12 +441,14 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.metal.get_cache_memory.html">mlx.core.metal.get_cache_memory</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.metal.set_memory_limit.html">mlx.core.metal.set_memory_limit</a></li>
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||||
<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.metal.set_cache_limit.html">mlx.core.metal.set_cache_limit</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.metal.clear_cache.html">mlx.core.metal.clear_cache</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.metal.start_capture.html">mlx.core.metal.start_capture</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.metal.stop_capture.html">mlx.core.metal.stop_capture</a></li>
|
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<li class="toctree-l1 current active has-children"><a class="reference internal" href="../nn.html">Neural Networks</a><input checked="" class="toctree-checkbox" id="toctree-checkbox-11" name="toctree-checkbox-11" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-11"><i class="fa-solid fa-chevron-down"></i></label><ul class="current">
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.nn.value_and_grad.html">mlx.nn.value_and_grad</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.nn.quantize.html">mlx.nn.quantize</a></li>
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<li class="toctree-l2 has-children"><a class="reference internal" href="module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-12" name="toctree-checkbox-12" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-12"><i class="fa-solid fa-chevron-down"></i></label><ul>
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@@ -488,6 +495,7 @@
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<li class="toctree-l3"><a class="reference internal" href="_autosummary/mlx.nn.Mish.html">mlx.nn.Mish</a></li>
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<li class="toctree-l3"><a class="reference internal" href="_autosummary/mlx.nn.MultiHeadAttention.html">mlx.nn.MultiHeadAttention</a></li>
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<li class="toctree-l3"><a class="reference internal" href="_autosummary/mlx.nn.QuantizedEmbedding.html">mlx.nn.QuantizedEmbedding</a></li>
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<li class="toctree-l3"><a class="reference internal" href="_autosummary/mlx.nn.QuantizedLinear.html">mlx.nn.QuantizedLinear</a></li>
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