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Awni Hannun
2025-10-17 19:14:55 +00:00
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docs/build/html/python/nn/_autosummary/mlx.nn.ALiBi.html
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<title>mlx.nn.ALiBi &#8212; MLX 0.10.0 documentation</title>
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docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool1d.html
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docs/build/html/python/nn/_autosummary/mlx.nn.AvgPool2d.html
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docs/build/html/python/nn/_autosummary/mlx.nn.BatchNorm.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Conv2d.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Dropout.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Dropout3d.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Embedding.html
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docs/build/html/python/nn/_autosummary/mlx.nn.GroupNorm.html
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docs/build/html/python/nn/_autosummary/mlx.nn.InstanceNorm.html
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docs/build/html/python/nn/_autosummary/mlx.nn.LayerNorm.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Linear.html
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docs/build/html/python/nn/_autosummary/mlx.nn.MaxPool2d.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Mish.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.apply_to_modules.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.children.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.eval.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.filter_and_map.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.freeze.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.leaf_modules.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.modules.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.named_modules.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.parameters.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.save_weights.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.set_dtype.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.train.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.trainable_parameters.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.training.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.update.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Module.update_modules.html
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docs/build/html/python/nn/_autosummary/mlx.nn.MultiHeadAttention.html
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docs/build/html/python/nn/_autosummary/mlx.nn.PReLU.html
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.erf.html">mlx.core.erf</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.expand_dims.html">mlx.core.expand_dims</a></li>
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docs/build/html/python/nn/_autosummary/mlx.nn.QuantizedLinear.html
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.erf.html">mlx.core.erf</a></li>
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docs/build/html/python/nn/_autosummary/mlx.nn.RNN.html
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docs/build/html/python/nn/_autosummary/mlx.nn.ReLU.html
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docs/build/html/python/nn/_autosummary/mlx.nn.SELU.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Sequential.html
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docs/build/html/python/nn/_autosummary/mlx.nn.SiLU.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Softshrink.html
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docs/build/html/python/nn/_autosummary/mlx.nn.Step.html
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.stack.html">mlx.core.stack</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.std.html">mlx.core.std</a></li>
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@@ -380,6 +383,7 @@
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.gumbel.html">mlx.core.random.gumbel</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.multivariate_normal.html">mlx.core.random.multivariate_normal</a></li>
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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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docs/build/html/python/nn/_autosummary/mlx.nn.Transformer.html
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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/" />
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@@ -286,6 +286,7 @@
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.erf.html">mlx.core.erf</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.erfinv.html">mlx.core.erfinv</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.exp.html">mlx.core.exp</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.expm1.html">mlx.core.expm1</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.expand_dims.html">mlx.core.expand_dims</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.eye.html">mlx.core.eye</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.flatten.html">mlx.core.flatten</a></li>
@@ -318,6 +319,7 @@
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.max.html">mlx.core.max</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.maximum.html">mlx.core.maximum</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.mean.html">mlx.core.mean</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.meshgrid.html">mlx.core.meshgrid</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.min.html">mlx.core.min</a></li>
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@@ -352,6 +354,7 @@
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.squeeze.html">mlx.core.squeeze</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.stack.html">mlx.core.stack</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.std.html">mlx.core.std</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.stop_gradient.html">mlx.core.stop_gradient</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.subtract.html">mlx.core.subtract</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.sum.html">mlx.core.sum</a></li>
@@ -379,6 +382,7 @@
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.gumbel.html">mlx.core.random.gumbel</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.key.html">mlx.core.random.key</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.normal.html">mlx.core.random.normal</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.multivariate_normal.html">mlx.core.random.multivariate_normal</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.randint.html">mlx.core.random.randint</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.seed.html">mlx.core.random.seed</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.split.html">mlx.core.random.split</a></li>
@@ -432,6 +436,8 @@
<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.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>
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docs/build/html/python/nn/_autosummary/mlx.nn.Upsample.html
Vendored
+19 -12
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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/" />
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<title>mlx.nn.Upsample &#8212; MLX 0.10.0 documentation</title>
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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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@@ -286,6 +286,7 @@
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.erf.html">mlx.core.erf</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.erfinv.html">mlx.core.erfinv</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.exp.html">mlx.core.exp</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.expm1.html">mlx.core.expm1</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.expand_dims.html">mlx.core.expand_dims</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.eye.html">mlx.core.eye</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.flatten.html">mlx.core.flatten</a></li>
@@ -318,6 +319,7 @@
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.max.html">mlx.core.max</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.maximum.html">mlx.core.maximum</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.mean.html">mlx.core.mean</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.meshgrid.html">mlx.core.meshgrid</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.min.html">mlx.core.min</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.minimum.html">mlx.core.minimum</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.moveaxis.html">mlx.core.moveaxis</a></li>
@@ -352,6 +354,7 @@
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.square.html">mlx.core.square</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.squeeze.html">mlx.core.squeeze</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.stack.html">mlx.core.stack</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.std.html">mlx.core.std</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.stop_gradient.html">mlx.core.stop_gradient</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.subtract.html">mlx.core.subtract</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.sum.html">mlx.core.sum</a></li>
@@ -379,6 +382,7 @@
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.gumbel.html">mlx.core.random.gumbel</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.key.html">mlx.core.random.key</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.normal.html">mlx.core.random.normal</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.multivariate_normal.html">mlx.core.random.multivariate_normal</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.randint.html">mlx.core.random.randint</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.seed.html">mlx.core.random.seed</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.random.split.html">mlx.core.random.split</a></li>
@@ -432,6 +436,8 @@
<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.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>
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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">
@@ -782,13 +788,14 @@ document.write(`
dimension.</p>
<p>For example, an audio signal would be 3D with 1 spatial dimension, an image
4D with 2 and so on and so forth.</p>
<p>There are two upsampling algorithms implemented nearest neighbor upsampling
and linear interpolation. Both can be applied to any number of spatial
dimensions and the linear interpolation will be bilinear, trilinear etc
when applied to more than one spatial dimension.</p>
<p>There are three upsampling algorithms implemented nearest neighbor upsampling,
linear interpolation, and cubic interpolation. All can be applied to any number
of spatial dimensions. The linear interpolation will be bilinear, trilinear etc
when applied to more than one spatial dimension. And cubic interpolation will be
bicubic when there are 2 spatial dimensions.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>When using one of the linear interpolation modes the <code class="docutils literal notranslate"><span class="pre">align_corners</span></code>
<p>When using one of the linear or cubic interpolation modes the <code class="docutils literal notranslate"><span class="pre">align_corners</span></code>
argument changes how the corners are treated in the input image. If
<code class="docutils literal notranslate"><span class="pre">align_corners=True</span></code> then the top and left edge of the input and
output will be matching as will the bottom right edge.</p>
@@ -800,10 +807,10 @@ output will be matching as will the bottom right edge.</p>
If a <code class="docutils literal notranslate"><span class="pre">float</span></code> is provided, it is the multiplier for all spatial dimensions.
Otherwise, the number of scale factors provided must match the
number of spatial dimensions.</p></li>
<li><p><strong>mode</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>optional</em>) – The upsampling algorithm, either <code class="docutils literal notranslate"><span class="pre">&quot;nearest&quot;</span></code> or
<code class="docutils literal notranslate"><span class="pre">&quot;linear&quot;</span></code>. Default: <code class="docutils literal notranslate"><span class="pre">&quot;nearest&quot;</span></code>.</p></li>
<li><p><strong>mode</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a><em>, </em><em>optional</em>) – The upsampling algorithm, either <code class="docutils literal notranslate"><span class="pre">&quot;nearest&quot;</span></code>,
<code class="docutils literal notranslate"><span class="pre">&quot;linear&quot;</span></code> or <code class="docutils literal notranslate"><span class="pre">&quot;cubic&quot;</span></code>. Default: <code class="docutils literal notranslate"><span class="pre">&quot;nearest&quot;</span></code>.</p></li>
<li><p><strong>align_corners</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>) – Changes the way the corners are treated
during <code class="docutils literal notranslate"><span class="pre">&quot;linear&quot;</span></code> upsampling. See the note above and the
during <code class="docutils literal notranslate"><span class="pre">&quot;linear&quot;</span></code> and <code class="docutils literal notranslate"><span class="pre">&quot;cubic&quot;</span></code> upsampling. See the note above and the
examples below for more details. Default: <code class="docutils literal notranslate"><span class="pre">False</span></code>.</p></li>
</ul>
</dd>
docs/build/html/python/nn/_autosummary/mlx.nn.init.constant.html
Vendored
+10 -4
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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.init.constant &#8212; MLX 0.9.0 documentation</title>
<title>mlx.nn.init.constant &#8212; MLX 0.10.0 documentation</title>
@@ -36,7 +36,7 @@
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@@ -286,6 +286,7 @@
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.erf.html">mlx.core.erf</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.erfinv.html">mlx.core.erfinv</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.exp.html">mlx.core.exp</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.expm1.html">mlx.core.expm1</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.expand_dims.html">mlx.core.expand_dims</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.eye.html">mlx.core.eye</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.flatten.html">mlx.core.flatten</a></li>
@@ -318,6 +319,7 @@
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docs/build/html/python/nn/_autosummary/mlx.nn.init.glorot_normal.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.glorot_uniform.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.he_normal.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.identity.html
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docs/build/html/python/nn/_autosummary/mlx.nn.init.normal.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.gelu_approx.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.hardswish.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.leaky_relu.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.log_sigmoid.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.log_softmax.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.huber_loss.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.log_cosh_loss.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.margin_ranking_loss.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.nll_loss.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.losses.smooth_l1_loss.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.prelu.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.selu.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.sigmoid.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.softmax.html
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docs/build/html/python/nn/_autosummary_functions/mlx.nn.softplus.html
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docs/build/html/python/nn/functions.html
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docs/build/html/python/nn/init.html
Vendored
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<li class="toctree-l2"><a class="reference internal" href="../_autosummary/mlx.core.flatten.html">mlx.core.flatten</a></li>
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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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