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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="Permalink to this heading">#</a></h1>
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<dl class="py class">
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<dl class="py function">
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<dt class="sig sig-object py" id="mlx.nn.gelu">
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<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
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<span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
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<dd><p>Applies the Gaussian Error Linear Units function.</p>
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<div class="math notranslate nohighlight">
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\[\begin{split}\\textrm{GELU}(x) = x * \Phi(x)\end{split}\]</div>
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<title>mlx.nn.gelu_approx — MLX 0.1.0 documentation</title>
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<title>mlx.nn.gelu_approx — MLX 0.2.0 documentation</title>
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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="Permalink to this heading">#</a></h1>
|
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<dl class="py class">
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<dl class="py function">
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<dt class="sig sig-object py" id="mlx.nn.gelu_approx">
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<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
|
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<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>
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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="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
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||||
<dt class="sig sig-object py" id="mlx.nn.gelu_fast_approx">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink 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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<h1>mlx.nn.init.constant<a class="headerlink" href="#mlx-nn-init-constant" title="Permalink 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.init.constant">
|
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<span class="sig-prename descclassname"><span class="pre">mlx.nn.init.</span></span><span class="sig-name descname"><span class="pre">constant</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">value</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></em>, <em class="sig-param"><span class="n"><span class="pre">dtype</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.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><span class="pre">Dtype</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">mlx.core.float32</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 external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.12)"><span class="pre">Callable</span></a><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><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="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><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="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#mlx.nn.init.constant" title="Permalink to this definition">#</a></dt>
|
||||
<dd><p>An initializer that returns an array filled with <code class="docutils literal notranslate"><span class="pre">value</span></code>.</p>
|
||||
<dl class="field-list simple">
|
||||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><ul class="simple">
|
||||
<li><p><strong>value</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 value to fill the array with.</p></li>
|
||||
<li><p><strong>dtype</strong> (<a class="reference internal" href="../../_autosummary/mlx.core.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><em>Dtype</em></a><em>, </em><em>optional</em>) – The data type of the array. Default: <code class="docutils literal notranslate"><span class="pre">float32</span></code>.</p></li>
|
||||
</ul>
|
||||
</dd>
|
||||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||||
<dd class="field-even"><p>An initializer that returns an array with the
|
||||
same shape as the input, filled with <code class="docutils literal notranslate"><span class="pre">value</span></code>.</p>
|
||||
</dd>
|
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<dd class="field-odd"><p><em>Callable</em>[[<a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>], <a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>]</p>
|
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<p class="rubric">Example</p>
|
||||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">init_fn</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">constant</span><span class="p">(</span><span class="mf">0.5</span><span class="p">)</span>
|
||||
<span class="gp">>>> </span><span class="n">init_fn</span><span class="p">(</span><span class="n">mx</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span>
|
||||
<span class="go">array([[0.5, 0.5],</span>
|
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<span class="go"> [0.5, 0.5]], dtype=float32)</span>
|
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<h1>mlx.nn.init.glorot_normal</h1>
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<section id="mlx-nn-init-glorot-normal">
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<h1>mlx.nn.init.glorot_normal<a class="headerlink" href="#mlx-nn-init-glorot-normal" title="Permalink to this heading">#</a></h1>
|
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<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.init.glorot_normal">
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.init.</span></span><span class="sig-name descname"><span class="pre">glorot_normal</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dtype</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.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><span class="pre">Dtype</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">mlx.core.float32</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 external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.12)"><span class="pre">Callable</span></a><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><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="p"><span class="pre">,</span></span><span class="w"> </span><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 class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><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="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#mlx.nn.init.glorot_normal" title="Permalink to this definition">#</a></dt>
|
||||
<dd><p>A Glorot normal initializer.</p>
|
||||
<p>This initializer samples from a normal distribution with a standard
|
||||
deviation computed from the number of input (<code class="docutils literal notranslate"><span class="pre">fan_in</span></code>) and output
|
||||
(<code class="docutils literal notranslate"><span class="pre">fan_out</span></code>) units according to:</p>
|
||||
<div class="math notranslate nohighlight">
|
||||
\[\sigma = \gamma \sqrt{\frac{2.0}{\text{fan_in} + \text{fan_out}}}\]</div>
|
||||
<p>For more details see the original reference:</p>
|
||||
<p><a class="reference external" href="https://proceedings.mlr.press/v9/glorot10a.html">Understanding the difficulty of training deep feedforward neural networks</a></p>
|
||||
<dl class="field-list simple">
|
||||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><p><strong>dtype</strong> (<a class="reference internal" href="../../_autosummary/mlx.core.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><em>Dtype</em></a><em>, </em><em>optional</em>) – The data type of the array. Default: <code class="docutils literal notranslate"><span class="pre">float32</span></code>.</p>
|
||||
</dd>
|
||||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||||
<dd class="field-even"><p>An initializer that returns an array
|
||||
with the same shape as the input, filled with samples from the Glorot
|
||||
normal distribution.</p>
|
||||
</dd>
|
||||
<dt class="field-odd">Return type<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><p><em>Callable</em>[[<a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>], <a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>]</p>
|
||||
</dd>
|
||||
</dl>
|
||||
<p class="rubric">Example</p>
|
||||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">init_fn</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">glorot_normal</span><span class="p">()</span>
|
||||
<span class="gp">>>> </span><span class="n">init_fn</span><span class="p">(</span><span class="n">mx</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span>
|
||||
<span class="go">array([[0.191107, 1.61278],</span>
|
||||
<span class="go"> [-0.150594, -0.363207]], dtype=float32)</span>
|
||||
<span class="gp">>>> </span><span class="n">init_fn</span><span class="p">(</span><span class="n">mx</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)),</span> <span class="n">gain</span><span class="o">=</span><span class="mf">4.0</span><span class="p">)</span>
|
||||
<span class="go">array([[1.89613, -4.53947],</span>
|
||||
<span class="go"> [4.48095, 0.995016]], dtype=float32)</span>
|
||||
</pre></div>
|
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</dd></dl>
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<h1>mlx.nn.init.glorot_uniform<a class="headerlink" href="#mlx-nn-init-glorot-uniform" title="Permalink to this heading">#</a></h1>
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<span class="sig-prename descclassname"><span class="pre">mlx.nn.init.</span></span><span class="sig-name descname"><span class="pre">glorot_uniform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dtype</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.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><span class="pre">Dtype</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">mlx.core.float32</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 external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.12)"><span class="pre">Callable</span></a><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><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="p"><span class="pre">,</span></span><span class="w"> </span><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 class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><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="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#mlx.nn.init.glorot_uniform" title="Permalink to this definition">#</a></dt>
|
||||
<dd><p>A Glorot uniform initializer.</p>
|
||||
<p>This initializer samples from a uniform distribution with a range
|
||||
computed from the number of input (<code class="docutils literal notranslate"><span class="pre">fan_in</span></code>) and output (<code class="docutils literal notranslate"><span class="pre">fan_out</span></code>)
|
||||
units according to:</p>
|
||||
<div class="math notranslate nohighlight">
|
||||
\[\sigma = \gamma \sqrt{\frac{6.0}{\text{fan_in} + \text{fan_out}}}\]</div>
|
||||
<p>For more details see the original reference:</p>
|
||||
<p><a class="reference external" href="https://proceedings.mlr.press/v9/glorot10a.html">Understanding the difficulty of training deep feedforward neural networks</a></p>
|
||||
<dl class="field-list simple">
|
||||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><p><strong>dtype</strong> (<a class="reference internal" href="../../_autosummary/mlx.core.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><em>Dtype</em></a><em>, </em><em>optional</em>) – The data type of the array. Default: <code class="docutils literal notranslate"><span class="pre">float32</span></code>.</p>
|
||||
</dd>
|
||||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||||
<dd class="field-even"><p>An initializer that returns an array
|
||||
with the same shape as the input, filled with samples from the Glorot
|
||||
uniform distribution.</p>
|
||||
</dd>
|
||||
<dt class="field-odd">Return type<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><p><em>Callable</em>[[<a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>], <a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>]</p>
|
||||
</dd>
|
||||
</dl>
|
||||
<p class="rubric">Example</p>
|
||||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">init_fn</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">glorot_uniform</span><span class="p">()</span>
|
||||
<span class="gp">>>> </span><span class="n">init_fn</span><span class="p">(</span><span class="n">mx</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span>
|
||||
<span class="go">array([[0.223404, -0.890597],</span>
|
||||
<span class="go"> [-0.379159, -0.776856]], dtype=float32)</span>
|
||||
<span class="gp">>>> </span><span class="n">init_fn</span><span class="p">(</span><span class="n">mx</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)),</span> <span class="n">gain</span><span class="o">=</span><span class="mf">4.0</span><span class="p">)</span>
|
||||
<span class="go">array([[-1.90041, 3.02264],</span>
|
||||
<span class="go"> [-0.912766, 4.12451]], dtype=float32)</span>
|
||||
</pre></div>
|
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</div>
|
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</dd></dl>
|
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<section id="mlx-nn-init-he-normal">
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<h1>mlx.nn.init.he_normal<a class="headerlink" href="#mlx-nn-init-he-normal" title="Permalink to this heading">#</a></h1>
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<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.init.he_normal">
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.init.</span></span><span class="sig-name descname"><span class="pre">he_normal</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dtype</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.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><span class="pre">Dtype</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">mlx.core.float32</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 external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.12)"><span class="pre">Callable</span></a><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><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="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><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 class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><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="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#mlx.nn.init.he_normal" title="Permalink to this definition">#</a></dt>
|
||||
<dd><p>Build a He normal initializer.</p>
|
||||
<p>This initializer samples from a normal distribution with a standard
|
||||
deviation computed from the number of input (<code class="docutils literal notranslate"><span class="pre">fan_in</span></code>) or output
|
||||
(<code class="docutils literal notranslate"><span class="pre">fan_out</span></code>) units according to:</p>
|
||||
<div class="math notranslate nohighlight">
|
||||
\[\sigma = \frac{\gramma}{\sqrt{\text{fan}}}\]</div>
|
||||
<p>where <span class="math notranslate nohighlight">\(\text{fan}\)</span> is either the number of input units when the
|
||||
<code class="docutils literal notranslate"><span class="pre">mode</span></code> is <code class="docutils literal notranslate"><span class="pre">"fan_in"</span></code> or output units when the <code class="docutils literal notranslate"><span class="pre">mode</span></code> is
|
||||
<code class="docutils literal notranslate"><span class="pre">"fan_out"</span></code>.</p>
|
||||
<p>For more details see the original reference:
|
||||
<a class="reference external" href="https://arxiv.org/abs/1502.01852">Delving Deep into Rectifiers: Surpassing Human-Level Performance on
|
||||
ImageNet Classification</a></p>
|
||||
<dl class="field-list simple">
|
||||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><p><strong>dtype</strong> (<a class="reference internal" href="../../_autosummary/mlx.core.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><em>Dtype</em></a><em>, </em><em>optional</em>) – The data type of the array. Defaults to mx.float32.</p>
|
||||
</dd>
|
||||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||||
<dd class="field-even"><p>An initializer that returns an
|
||||
array with the same shape as the input, filled with samples from the He
|
||||
normal distribution.</p>
|
||||
</dd>
|
||||
<dt class="field-odd">Return type<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><p><em>Callable</em>[[<a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>, <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>], <a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>]</p>
|
||||
</dd>
|
||||
</dl>
|
||||
<p class="rubric">Example</p>
|
||||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">init_fn</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">he_normal</span><span class="p">()</span>
|
||||
<span class="gp">>>> </span><span class="n">init_fn</span><span class="p">(</span><span class="n">mx</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span> <span class="c1"># uses fan_in</span>
|
||||
<span class="go">array([[-1.25211, 0.458835],</span>
|
||||
<span class="go"> [-0.177208, -0.0137595]], dtype=float32)</span>
|
||||
<span class="gp">>>> </span><span class="n">init_fn</span><span class="p">(</span><span class="n">mx</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)),</span> <span class="n">mode</span><span class="o">=</span><span class="s2">"fan_out"</span><span class="p">,</span> <span class="n">gain</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
|
||||
<span class="go">array([[5.6967, 4.02765],</span>
|
||||
<span class="go"> [-4.15268, -2.75787]], dtype=float32)</span>
|
||||
</pre></div>
|
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<section id="mlx-nn-init-he-uniform">
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<h1>mlx.nn.init.he_uniform<a class="headerlink" href="#mlx-nn-init-he-uniform" title="Permalink to this heading">#</a></h1>
|
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<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.init.he_uniform">
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.init.</span></span><span class="sig-name descname"><span class="pre">he_uniform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dtype</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.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><span class="pre">Dtype</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">mlx.core.float32</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 external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.12)"><span class="pre">Callable</span></a><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><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="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><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 class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><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="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#mlx.nn.init.he_uniform" title="Permalink to this definition">#</a></dt>
|
||||
<dd><p>A He uniform (Kaiming uniform) initializer.</p>
|
||||
<p>This initializer samples from a uniform distribution with a range
|
||||
computed from the number of input (<code class="docutils literal notranslate"><span class="pre">fan_in</span></code>) or output (<code class="docutils literal notranslate"><span class="pre">fan_out</span></code>)
|
||||
units according to:</p>
|
||||
<div class="math notranslate nohighlight">
|
||||
\[\sigma = \gamma \sqrt{\frac{3.0}{\text{fan}}}\]</div>
|
||||
<p>where <span class="math notranslate nohighlight">\(\text{fan}\)</span> is either the number of input units when the
|
||||
<code class="docutils literal notranslate"><span class="pre">mode</span></code> is <code class="docutils literal notranslate"><span class="pre">"fan_in"</span></code> or output units when the <code class="docutils literal notranslate"><span class="pre">mode</span></code> is
|
||||
<code class="docutils literal notranslate"><span class="pre">"fan_out"</span></code>.</p>
|
||||
<p>For more details see the original reference:
|
||||
<a class="reference external" href="https://arxiv.org/abs/1502.01852">Delving Deep into Rectifiers: Surpassing Human-Level Performance on
|
||||
ImageNet Classification</a></p>
|
||||
<dl class="field-list simple">
|
||||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><p><strong>dtype</strong> (<a class="reference internal" href="../../_autosummary/mlx.core.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><em>Dtype</em></a><em>, </em><em>optional</em>) – The data type of the array. Default: <code class="docutils literal notranslate"><span class="pre">float32</span></code>.</p>
|
||||
</dd>
|
||||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||||
<dd class="field-even"><p>An initializer that returns an
|
||||
array with the same shape as the input, filled with samples from the
|
||||
He uniform distribution.</p>
|
||||
</dd>
|
||||
<dt class="field-odd">Return type<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><p><em>Callable</em>[[<a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>, <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.12)"><em>str</em></a>, <a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a>], <a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>]</p>
|
||||
</dd>
|
||||
</dl>
|
||||
<p class="rubric">Example</p>
|
||||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">init_fn</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">he_uniform</span><span class="p">()</span>
|
||||
<span class="gp">>>> </span><span class="n">init_fn</span><span class="p">(</span><span class="n">mx</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span> <span class="c1"># uses fan_in</span>
|
||||
<span class="go">array([[0.0300242, -0.0184009],</span>
|
||||
<span class="go"> [0.793615, 0.666329]], dtype=float32)</span>
|
||||
<span class="gp">>>> </span><span class="n">init_fn</span><span class="p">(</span><span class="n">mx</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)),</span> <span class="n">mode</span><span class="o">=</span><span class="s2">"fan_out"</span><span class="p">,</span> <span class="n">gain</span><span class="o">=</span><span class="mi">5</span><span class="p">)</span>
|
||||
<span class="go">array([[-1.64331, -2.16506],</span>
|
||||
<span class="go"> [1.08619, 5.79854]], dtype=float32)</span>
|
||||
</pre></div>
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<h1>mlx.nn.init.identity</h1>
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<section id="mlx-nn-init-identity">
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<h1>mlx.nn.init.identity<a class="headerlink" href="#mlx-nn-init-identity" title="Permalink 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.init.identity">
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.init.</span></span><span class="sig-name descname"><span class="pre">identity</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dtype</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.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><span class="pre">Dtype</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">mlx.core.float32</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 external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.12)"><span class="pre">Callable</span></a><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><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="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><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="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#mlx.nn.init.identity" title="Permalink to this definition">#</a></dt>
|
||||
<dd><p>An initializer that returns an identity matrix.</p>
|
||||
<dl class="field-list simple">
|
||||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><p><strong>dtype</strong> (<a class="reference internal" href="../../_autosummary/mlx.core.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><em>Dtype</em></a><em>, </em><em>optional</em>) – The data type of the array. Defaults:
|
||||
<code class="docutils literal notranslate"><span class="pre">float32</span></code>.</p>
|
||||
</dd>
|
||||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||||
<dd class="field-even"><p>An initializer that returns an identity
|
||||
matrix with the same shape as the input.</p>
|
||||
</dd>
|
||||
<dt class="field-odd">Return type<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><p><em>Callable</em>[[<a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>], <a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>]</p>
|
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</dd>
|
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</dl>
|
||||
<p class="rubric">Example</p>
|
||||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">init_fn</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">identity</span><span class="p">()</span>
|
||||
<span class="gp">>>> </span><span class="n">init_fn</span><span class="p">(</span><span class="n">mx</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span>
|
||||
<span class="go">array([[1, 0],</span>
|
||||
<span class="go"> [0, 1]], dtype=float32)</span>
|
||||
</pre></div>
|
||||
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<h1>mlx.nn.init.normal<a class="headerlink" href="#mlx-nn-init-normal" title="Permalink to this heading">#</a></h1>
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.init.normal">
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.init.</span></span><span class="sig-name descname"><span class="pre">normal</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mean</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">std</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">dtype</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.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><span class="pre">Dtype</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">mlx.core.float32</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 external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.12)"><span class="pre">Callable</span></a><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><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="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><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="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#mlx.nn.init.normal" title="Permalink to this definition">#</a></dt>
|
||||
<dd><p>An initializer that returns samples from a normal distribution.</p>
|
||||
<dl class="field-list simple">
|
||||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><ul class="simple">
|
||||
<li><p><strong>mean</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – Mean of the normal distribution. Default:
|
||||
<code class="docutils literal notranslate"><span class="pre">0.0</span></code>.</p></li>
|
||||
<li><p><strong>std</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – Standard deviation of the normal distribution.
|
||||
Default: <code class="docutils literal notranslate"><span class="pre">1.0</span></code>.</p></li>
|
||||
<li><p><strong>dtype</strong> (<a class="reference internal" href="../../_autosummary/mlx.core.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><em>Dtype</em></a><em>, </em><em>optional</em>) – The data type of the array. Default:
|
||||
<code class="docutils literal notranslate"><span class="pre">float32</span></code>.</p></li>
|
||||
</ul>
|
||||
</dd>
|
||||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||||
<dd class="field-even"><p>An initializer that returns an array with the
|
||||
same shape as the input, filled with samples from a normal distribution.</p>
|
||||
</dd>
|
||||
<dt class="field-odd">Return type<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><p><em>Callable</em>[[<a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>], <a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>]</p>
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|
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<p class="rubric">Example</p>
|
||||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">init_fn</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">normal</span><span class="p">()</span>
|
||||
<span class="gp">>>> </span><span class="n">init_fn</span><span class="p">(</span><span class="n">mx</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span>
|
||||
<span class="go">array([[-0.982273, -0.534422],</span>
|
||||
<span class="go"> [0.380709, 0.0645099]], dtype=float32)</span>
|
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</pre></div>
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<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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">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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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 external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><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="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>, <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="Permalink 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>
|
||||
@@ -676,6 +687,7 @@ document.write(`
|
||||
<code class="docutils literal notranslate"><span class="pre">inputs</span></code> are unnormalized logits. Otherwise, <code class="docutils literal notranslate"><span class="pre">inputs</span></code> are probabilities.</p></li>
|
||||
<li><p><strong>targets</strong> (<a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>) – The binary target values in {0, 1}.</p></li>
|
||||
<li><p><strong>with_logits</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>) – Whether <code class="docutils literal notranslate"><span class="pre">inputs</span></code> are logits. Default: <code class="docutils literal notranslate"><span class="pre">True</span></code>.</p></li>
|
||||
<li><p><strong>weights</strong> (<a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a><em>, </em><em>optional</em>) – Optional weights for each target. Default: <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p></li>
|
||||
<li><p><strong>reduction</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>) – Specifies the reduction to apply to the output:
|
||||
<code class="docutils literal notranslate"><span class="pre">'none'</span></code> | <code class="docutils literal notranslate"><span class="pre">'mean'</span></code> | <code class="docutils literal notranslate"><span class="pre">'sum'</span></code>. Default: <code class="docutils literal notranslate"><span class="pre">'mean'</span></code>.</p></li>
|
||||
</ul>
|
||||
|
||||
@@ -9,7 +9,7 @@
|
||||
<meta charset="utf-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
|
||||
|
||||
<title>mlx.nn.losses.cosine_similarity_loss — MLX 0.1.0 documentation</title>
|
||||
<title>mlx.nn.losses.cosine_similarity_loss — MLX 0.2.0 documentation</title>
|
||||
|
||||
|
||||
|
||||
@@ -135,8 +135,8 @@
|
||||
|
||||
|
||||
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.1.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.1.0 documentation - Home"/>`);</script>
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.2.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.2.0 documentation - Home"/>`);</script>
|
||||
|
||||
|
||||
</a></div>
|
||||
@@ -154,6 +154,7 @@
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/indexing.html">Indexing Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/saving_and_loading.html">Saving and Loading Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/function_transforms.html">Function Transforms</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/compile.html">Compilation</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/numpy.html">Conversion to NumPy and Other Frameworks</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/using_streams.html">Using Streams</a></li>
|
||||
</ul>
|
||||
@@ -349,6 +350,9 @@
|
||||
</li>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../transforms.html">Transforms</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-5"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.eval.html">mlx.core.eval</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.compile.html">mlx.core.compile</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.disable_compile.html">mlx.core.disable_compile</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.enable_compile.html">mlx.core.enable_compile</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.grad.html">mlx.core.grad</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.value_and_grad.html">mlx.core.value_and_grad</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.jvp.html">mlx.core.jvp</a></li>
|
||||
@@ -380,6 +384,7 @@
|
||||
<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 has-children"><a class="reference internal" href="../module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-9"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.training.html">mlx.nn.Module.training</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.state.html">mlx.nn.Module.state</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.apply.html">mlx.nn.Module.apply</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.apply_to_modules.html">mlx.nn.Module.apply_to_modules</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.children.html">mlx.nn.Module.children</a></li>
|
||||
@@ -452,6 +457,7 @@
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.kl_div_loss.html">mlx.nn.losses.kl_div_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.l1_loss.html">mlx.nn.losses.l1_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.log_cosh_loss.html">mlx.nn.losses.log_cosh_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.margin_ranking_loss.html">mlx.nn.losses.margin_ranking_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.mse_loss.html">mlx.nn.losses.mse_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.nll_loss.html">mlx.nn.losses.nll_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.smooth_l1_loss.html">mlx.nn.losses.smooth_l1_loss</a></li>
|
||||
@@ -472,8 +478,13 @@
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../optimizers.html">Optimizers</a><input class="toctree-checkbox" id="toctree-checkbox-14" name="toctree-checkbox-14" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-14"><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.optimizers.OptimizerState.html">mlx.optimizers.OptimizerState</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.html">mlx.optimizers.Optimizer</a></li>
|
||||
<li class="toctree-l2 has-children"><a class="reference internal" href="../../optimizer.html">Optimizer</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.state.html">mlx.optimizers.Optimizer.state</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.apply_gradients.html">mlx.optimizers.Optimizer.apply_gradients</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.init.html">mlx.optimizers.Optimizer.init</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.update.html">mlx.optimizers.Optimizer.update</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.SGD.html">mlx.optimizers.SGD</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.RMSprop.html">mlx.optimizers.RMSprop</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Adagrad.html">mlx.optimizers.Adagrad</a></li>
|
||||
@@ -485,7 +496,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Lion.html">mlx.optimizers.Lion</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-16" name="toctree-checkbox-16" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-16"><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.utils.tree_flatten.html">mlx.utils.tree_flatten</a></li>
|
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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.html">mlx.utils.tree_map</a></li>
|
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@@ -666,9 +677,9 @@ document.write(`
|
||||
|
||||
<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="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.losses.cosine_similarity_loss">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink 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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|
||||
<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/" />
|
||||
|
||||
<title>mlx.nn.losses.cross_entropy — MLX 0.1.0 documentation</title>
|
||||
<title>mlx.nn.losses.cross_entropy — MLX 0.2.0 documentation</title>
|
||||
|
||||
|
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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 0.1.0 documentation - Home"/>
|
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<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.1.0 documentation - Home"/>`);</script>
|
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<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.2.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.2.0 documentation - Home"/>`);</script>
|
||||
|
||||
|
||||
</a></div>
|
||||
@@ -153,6 +153,7 @@
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/indexing.html">Indexing Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/saving_and_loading.html">Saving and Loading Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/function_transforms.html">Function Transforms</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/compile.html">Compilation</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/numpy.html">Conversion to NumPy and Other Frameworks</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/using_streams.html">Using Streams</a></li>
|
||||
</ul>
|
||||
@@ -348,6 +349,9 @@
|
||||
</li>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../transforms.html">Transforms</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-5"><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.eval.html">mlx.core.eval</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.compile.html">mlx.core.compile</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.disable_compile.html">mlx.core.disable_compile</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.enable_compile.html">mlx.core.enable_compile</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.grad.html">mlx.core.grad</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.value_and_grad.html">mlx.core.value_and_grad</a></li>
|
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.jvp.html">mlx.core.jvp</a></li>
|
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@@ -379,6 +383,7 @@
|
||||
<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 has-children"><a class="reference internal" href="../module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-9"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.training.html">mlx.nn.Module.training</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.state.html">mlx.nn.Module.state</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.apply.html">mlx.nn.Module.apply</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.apply_to_modules.html">mlx.nn.Module.apply_to_modules</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.children.html">mlx.nn.Module.children</a></li>
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@@ -451,6 +456,7 @@
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.kl_div_loss.html">mlx.nn.losses.kl_div_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.l1_loss.html">mlx.nn.losses.l1_loss</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.log_cosh_loss.html">mlx.nn.losses.log_cosh_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.margin_ranking_loss.html">mlx.nn.losses.margin_ranking_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.mse_loss.html">mlx.nn.losses.mse_loss</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.nll_loss.html">mlx.nn.losses.nll_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.smooth_l1_loss.html">mlx.nn.losses.smooth_l1_loss</a></li>
|
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@@ -471,8 +477,13 @@
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../optimizers.html">Optimizers</a><input class="toctree-checkbox" id="toctree-checkbox-14" name="toctree-checkbox-14" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-14"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.OptimizerState.html">mlx.optimizers.OptimizerState</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.html">mlx.optimizers.Optimizer</a></li>
|
||||
<li class="toctree-l2 has-children"><a class="reference internal" href="../../optimizer.html">Optimizer</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.state.html">mlx.optimizers.Optimizer.state</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.apply_gradients.html">mlx.optimizers.Optimizer.apply_gradients</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.init.html">mlx.optimizers.Optimizer.init</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.update.html">mlx.optimizers.Optimizer.update</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.SGD.html">mlx.optimizers.SGD</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.RMSprop.html">mlx.optimizers.RMSprop</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Adagrad.html">mlx.optimizers.Adagrad</a></li>
|
||||
@@ -484,7 +495,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Lion.html">mlx.optimizers.Lion</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-16" name="toctree-checkbox-16" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-16"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
<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>
|
||||
@@ -665,9 +676,9 @@ document.write(`
|
||||
|
||||
<section id="mlx-nn-losses-cross-entropy">
|
||||
<h1>mlx.nn.losses.cross_entropy<a class="headerlink" href="#mlx-nn-losses-cross-entropy" title="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.losses.cross_entropy">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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 external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><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="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>, <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">-</span> <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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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 external" href="https://docs.python.org/3/library/typing.html#typing.Optional" title="(in Python v3.12)"><span class="pre">Optional</span></a><span class="p"><span class="pre">[</span></span><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="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>, <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">-</span> <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="Permalink 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>
|
||||
|
||||
@@ -9,7 +9,7 @@
|
||||
<meta charset="utf-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
|
||||
|
||||
<title>mlx.nn.losses.gaussian_nll_loss — MLX 0.1.0 documentation</title>
|
||||
<title>mlx.nn.losses.gaussian_nll_loss — MLX 0.2.0 documentation</title>
|
||||
|
||||
|
||||
|
||||
@@ -135,8 +135,8 @@
|
||||
|
||||
|
||||
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.1.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.1.0 documentation - Home"/>`);</script>
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.2.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.2.0 documentation - Home"/>`);</script>
|
||||
|
||||
|
||||
</a></div>
|
||||
@@ -154,6 +154,7 @@
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/indexing.html">Indexing Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/saving_and_loading.html">Saving and Loading Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/function_transforms.html">Function Transforms</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/compile.html">Compilation</a></li>
|
||||
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@@ -666,9 +677,9 @@ document.write(`
|
||||
|
||||
<section id="mlx-nn-losses-gaussian-nll-loss">
|
||||
<h1>mlx.nn.losses.gaussian_nll_loss<a class="headerlink" href="#mlx-nn-losses-gaussian-nll-loss" title="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
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||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.losses.gaussian_nll_loss">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink 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">
|
||||
|
||||
@@ -9,7 +9,7 @@
|
||||
<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/" />
|
||||
|
||||
<title>mlx.nn.losses.hinge_loss — MLX 0.1.0 documentation</title>
|
||||
<title>mlx.nn.losses.hinge_loss — MLX 0.2.0 documentation</title>
|
||||
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||||
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||||
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||||
@@ -135,8 +135,8 @@
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<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.2.0 documentation - Home"/>`);</script>
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||||
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||||
</a></div>
|
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@@ -154,6 +154,7 @@
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/indexing.html">Indexing Arrays</a></li>
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||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/saving_and_loading.html">Saving and Loading Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/function_transforms.html">Function Transforms</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/compile.html">Compilation</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/numpy.html">Conversion to NumPy and Other Frameworks</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/using_streams.html">Using Streams</a></li>
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@@ -349,6 +350,9 @@
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../transforms.html">Transforms</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-5"><i class="fa-solid fa-chevron-down"></i></label><ul>
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@@ -380,6 +384,7 @@
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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 has-children"><a class="reference internal" href="../module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-9"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.training.html">mlx.nn.Module.training</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.state.html">mlx.nn.Module.state</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.apply.html">mlx.nn.Module.apply</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.children.html">mlx.nn.Module.children</a></li>
|
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@@ -452,6 +457,7 @@
|
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.kl_div_loss.html">mlx.nn.losses.kl_div_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.l1_loss.html">mlx.nn.losses.l1_loss</a></li>
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.log_cosh_loss.html">mlx.nn.losses.log_cosh_loss</a></li>
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.margin_ranking_loss.html">mlx.nn.losses.margin_ranking_loss</a></li>
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.mse_loss.html">mlx.nn.losses.mse_loss</a></li>
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.nll_loss.html">mlx.nn.losses.nll_loss</a></li>
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.smooth_l1_loss.html">mlx.nn.losses.smooth_l1_loss</a></li>
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@@ -472,8 +478,13 @@
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</ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../optimizers.html">Optimizers</a><input class="toctree-checkbox" id="toctree-checkbox-14" name="toctree-checkbox-14" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-14"><i class="fa-solid fa-chevron-down"></i></label><ul>
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|
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-16" name="toctree-checkbox-16" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-16"><i class="fa-solid fa-chevron-down"></i></label><ul>
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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="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
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<dl class="py function">
|
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<dt class="sig sig-object py" id="mlx.nn.losses.hinge_loss">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink 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>
|
||||
|
||||
@@ -9,7 +9,7 @@
|
||||
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|
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|
||||
|
||||
<title>mlx.nn.losses.huber_loss — MLX 0.1.0 documentation</title>
|
||||
<title>mlx.nn.losses.huber_loss — MLX 0.2.0 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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<li class="toctree-l2 has-children"><a class="reference internal" href="../module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-9"><i class="fa-solid fa-chevron-down"></i></label><ul>
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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="../../optimizers.html">Optimizers</a><input class="toctree-checkbox" id="toctree-checkbox-14" name="toctree-checkbox-14" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-14"><i class="fa-solid fa-chevron-down"></i></label><ul>
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||||
<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.apply_gradients.html">mlx.optimizers.Optimizer.apply_gradients</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.init.html">mlx.optimizers.Optimizer.init</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.update.html">mlx.optimizers.Optimizer.update</a></li>
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||||
</ul>
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||||
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.RMSprop.html">mlx.optimizers.RMSprop</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><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.utils.tree_unflatten.html">mlx.utils.tree_unflatten</a></li>
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@@ -666,9 +677,9 @@ document.write(`
|
||||
|
||||
<section id="mlx-nn-losses-huber-loss">
|
||||
<h1>mlx.nn.losses.huber_loss<a class="headerlink" href="#mlx-nn-losses-huber-loss" title="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.losses.huber_loss">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink 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) =
|
||||
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@@ -9,7 +9,7 @@
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<title>mlx.nn.losses.kl_div_loss — MLX 0.1.0 documentation</title>
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<li class="toctree-l3 current active"><a class="current reference internal" href="#">mlx.nn.losses.kl_div_loss</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.init.html">mlx.optimizers.Optimizer.init</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_map.html">mlx.utils.tree_map</a></li>
|
||||
@@ -665,9 +676,9 @@ document.write(`
|
||||
|
||||
<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="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.losses.kl_div_loss">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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">-</span> <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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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">-</span> <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="Permalink 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>
|
||||
|
||||
@@ -9,7 +9,7 @@
|
||||
<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.losses.l1_loss — MLX 0.1.0 documentation</title>
|
||||
<title>mlx.nn.losses.l1_loss — MLX 0.2.0 documentation</title>
|
||||
|
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@@ -134,8 +134,8 @@
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<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.1.0 documentation - Home"/>
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<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.2.0 documentation - Home"/>`);</script>
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@@ -153,6 +153,7 @@
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/indexing.html">Indexing Arrays</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/saving_and_loading.html">Saving and Loading Arrays</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/function_transforms.html">Function Transforms</a></li>
|
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/compile.html">Compilation</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/numpy.html">Conversion to NumPy and Other Frameworks</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/using_streams.html">Using Streams</a></li>
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</ul>
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@@ -348,6 +349,9 @@
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../transforms.html">Transforms</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-5"><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.jvp.html">mlx.core.jvp</a></li>
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@@ -379,6 +383,7 @@
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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 has-children"><a class="reference internal" href="../module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-9"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.training.html">mlx.nn.Module.training</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.state.html">mlx.nn.Module.state</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.children.html">mlx.nn.Module.children</a></li>
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@@ -451,6 +456,7 @@
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.kl_div_loss.html">mlx.nn.losses.kl_div_loss</a></li>
|
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<li class="toctree-l3 current active"><a class="current reference internal" href="#">mlx.nn.losses.l1_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.log_cosh_loss.html">mlx.nn.losses.log_cosh_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.margin_ranking_loss.html">mlx.nn.losses.margin_ranking_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.mse_loss.html">mlx.nn.losses.mse_loss</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.nll_loss.html">mlx.nn.losses.nll_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.smooth_l1_loss.html">mlx.nn.losses.smooth_l1_loss</a></li>
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@@ -471,8 +477,13 @@
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</ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../optimizers.html">Optimizers</a><input class="toctree-checkbox" id="toctree-checkbox-14" name="toctree-checkbox-14" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-14"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-16" name="toctree-checkbox-16" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-16"><i class="fa-solid fa-chevron-down"></i></label><ul>
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@@ -665,9 +676,9 @@ 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="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
|
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<dt class="sig sig-object py" id="mlx.nn.losses.l1_loss">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink 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>
|
||||
|
||||
@@ -9,7 +9,7 @@
|
||||
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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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||||
<title>mlx.nn.losses.log_cosh_loss — MLX 0.1.0 documentation</title>
|
||||
<title>mlx.nn.losses.log_cosh_loss — MLX 0.2.0 documentation</title>
|
||||
|
||||
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||||
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||||
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|
||||
<script>DOCUMENTATION_OPTIONS.pagename = 'python/nn/_autosummary_functions/mlx.nn.losses.log_cosh_loss';</script>
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||||
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||||
</a></div>
|
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|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/indexing.html">Indexing Arrays</a></li>
|
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|
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/function_transforms.html">Function Transforms</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/compile.html">Compilation</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/numpy.html">Conversion to NumPy and Other Frameworks</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/using_streams.html">Using Streams</a></li>
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</li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../transforms.html">Transforms</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-5"><i class="fa-solid fa-chevron-down"></i></label><ul>
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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-9" name="toctree-checkbox-9" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-9"><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-l3"><a class="reference internal" href="mlx.nn.losses.kl_div_loss.html">mlx.nn.losses.kl_div_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.l1_loss.html">mlx.nn.losses.l1_loss</a></li>
|
||||
<li class="toctree-l3 current active"><a class="current reference internal" href="#">mlx.nn.losses.log_cosh_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.margin_ranking_loss.html">mlx.nn.losses.margin_ranking_loss</a></li>
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||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.mse_loss.html">mlx.nn.losses.mse_loss</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.OptimizerState.html">mlx.optimizers.OptimizerState</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.apply_gradients.html">mlx.optimizers.Optimizer.apply_gradients</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.init.html">mlx.optimizers.Optimizer.init</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.update.html">mlx.optimizers.Optimizer.update</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.SGD.html">mlx.optimizers.SGD</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.RMSprop.html">mlx.optimizers.RMSprop</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Adagrad.html">mlx.optimizers.Adagrad</a></li>
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</ul>
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</li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-16" name="toctree-checkbox-16" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-16"><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.utils.tree_flatten.html">mlx.utils.tree_flatten</a></li>
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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.html">mlx.utils.tree_map</a></li>
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@@ -666,9 +677,9 @@ document.write(`
|
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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="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
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<dl class="py function">
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<dt class="sig sig-object py" id="mlx.nn.losses.log_cosh_loss">
|
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<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink to this definition">#</a></dt>
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<span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink 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
|
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@@ -718,11 +729,11 @@ dual behavior offers a balanced, robust approach for regression tasks.</p>
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</ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-14" name="toctree-checkbox-14" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-14"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-16" name="toctree-checkbox-16" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-16"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<div id="jb-print-docs-body" class="onlyprint">
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<h1>mlx.nn.init.uniform</h1>
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<h1>mlx.nn.losses.margin_ranking_loss</h1>
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<section id="mlx-nn-init-uniform">
|
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<h1>mlx.nn.init.uniform<a class="headerlink" href="#mlx-nn-init-uniform" title="Permalink to this heading">#</a></h1>
|
||||
<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="Permalink to this heading">#</a></h1>
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.init.uniform">
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.init.</span></span><span class="sig-name descname"><span class="pre">uniform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">low</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">high</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">dtype</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.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><span class="pre">Dtype</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">mlx.core.float32</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 external" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="(in Python v3.12)"><span class="pre">Callable</span></a><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><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="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><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="p"><span class="pre">]</span></span></span></span><a class="headerlink" href="#mlx.nn.init.uniform" title="Permalink to this definition">#</a></dt>
|
||||
<dd><p>An initializer that returns random values from a uniform distribution.</p>
|
||||
<dt class="sig sig-object py" id="mlx.nn.losses.margin_ranking_loss">
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink 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>
|
||||
<div class="math notranslate nohighlight">
|
||||
\[\text{loss} = \max (0, -y * (x_1 - x_2) + \text{margin})\]</div>
|
||||
<p>Where <span class="math notranslate nohighlight">\(y\)</span> represents <code class="docutils literal notranslate"><span class="pre">targets</span></code>, <span class="math notranslate nohighlight">\(x_1\)</span> represents <code class="docutils literal notranslate"><span class="pre">inputs1</span></code> and <span class="math notranslate nohighlight">\(x_2\)</span>
|
||||
represents <code class="docutils literal notranslate"><span class="pre">inputs2</span></code>.</p>
|
||||
<dl class="field-list simple">
|
||||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><ul class="simple">
|
||||
<li><p><strong>low</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – The lower bound of the uniform distribution.
|
||||
<li><p><strong>inputs1</strong> (<a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>) – Scores for the first input.</p></li>
|
||||
<li><p><strong>inputs2</strong> (<a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>) – Scores for the second input.</p></li>
|
||||
<li><p><strong>targets</strong> (<a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>) – Labels indicating whether samples in <code class="docutils literal notranslate"><span class="pre">inputs1</span></code> should be ranked higher
|
||||
than samples in <code class="docutils literal notranslate"><span class="pre">inputs2</span></code>. Values should be 1 or -1.</p></li>
|
||||
<li><p><strong>margin</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – The margin by which the scores should be separated.
|
||||
Default: <code class="docutils literal notranslate"><span class="pre">0.0</span></code>.</p></li>
|
||||
<li><p><strong>high</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.12)"><em>float</em></a><em>, </em><em>optional</em>) – The upper bound of the uniform distribution.
|
||||
Default: <code class="docutils literal notranslate"><span class="pre">1.0</span></code></p></li>
|
||||
<li><p><strong>dtype</strong> (<a class="reference internal" href="../../_autosummary/mlx.core.Dtype.html#mlx.core.Dtype" title="mlx.core.Dtype"><em>Dtype</em></a><em>, </em><em>optional</em>) – The data type of the array. Default: <code class="docutils literal notranslate"><span class="pre">float32</span></code>.</p></li>
|
||||
<li><p><strong>reduction</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>) – Specifies the reduction to apply to the output:
|
||||
<code class="docutils literal notranslate"><span class="pre">'none'</span></code> | <code class="docutils literal notranslate"><span class="pre">'mean'</span></code> | <code class="docutils literal notranslate"><span class="pre">'sum'</span></code>. Default: <code class="docutils literal notranslate"><span class="pre">'none'</span></code>.</p></li>
|
||||
</ul>
|
||||
</dd>
|
||||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||||
<dd class="field-even"><p>An initializer that returns an array
|
||||
with the same shape as the input, filled with samples from a uniform
|
||||
distribution</p>
|
||||
<dd class="field-even"><p>The computed margin ranking loss.</p>
|
||||
</dd>
|
||||
<dt class="field-odd">Return type<span class="colon">:</span></dt>
|
||||
<dd class="field-odd"><p><em>Callable</em>[[<a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>], <a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a>]</p>
|
||||
<dd class="field-odd"><p><a class="reference internal" href="../../_autosummary/mlx.core.array.html#mlx.core.array" title="mlx.core.array"><em>array</em></a></p>
|
||||
</dd>
|
||||
</dl>
|
||||
<p class="rubric">Example</p>
|
||||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">init_fn</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">init</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="n">low</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">high</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
|
||||
<span class="gp">>>> </span><span class="n">init_fn</span><span class="p">(</span><span class="n">mx</span><span class="o">.</span><span class="n">zeros</span><span class="p">((</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)))</span>
|
||||
<span class="go">array([[0.883935, 0.863726],</span>
|
||||
<span class="go"> [0.617261, 0.417497]], dtype=float32)</span>
|
||||
<p class="rubric">Examples</p>
|
||||
<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</span> <span class="k">as</span> <span class="nn">nn</span>
|
||||
<span class="gp">>>> </span><span class="n">targets</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="o">-</span><span class="mi">1</span><span class="p">])</span>
|
||||
<span class="gp">>>> </span><span class="n">inputs1</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="o">-</span><span class="mf">0.573409</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.765166</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.0638</span><span class="p">])</span>
|
||||
<span class="gp">>>> </span><span class="n">inputs2</span> <span class="o">=</span> <span class="n">mx</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mf">0.75596</span><span class="p">,</span> <span class="mf">0.225763</span><span class="p">,</span> <span class="mf">0.256995</span><span class="p">])</span>
|
||||
<span class="gp">>>> </span><span class="n">loss</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">losses</span><span class="o">.</span><span class="n">margin_ranking_loss</span><span class="p">(</span><span class="n">inputs1</span><span class="p">,</span> <span class="n">inputs2</span><span class="p">,</span> <span class="n">targets</span><span class="p">)</span>
|
||||
<span class="gp">>>> </span><span class="n">loss</span>
|
||||
<span class="go">array(0.773433, dtype=float32)</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
</dd></dl>
|
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@@ -693,6 +733,24 @@ distribution</p>
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@@ -153,6 +153,7 @@
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@@ -665,9 +676,9 @@ document.write(`
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<section id="mlx-nn-losses-mse-loss">
|
||||
<h1>mlx.nn.losses.mse_loss<a class="headerlink" href="#mlx-nn-losses-mse-loss" title="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.losses.mse_loss">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink 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>
|
||||
@@ -701,12 +712,12 @@ document.write(`
|
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@@ -9,7 +9,7 @@
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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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<title>mlx.nn.losses.nll_loss — MLX 0.1.0 documentation</title>
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<title>mlx.nn.losses.nll_loss — MLX 0.2.0 documentation</title>
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@@ -153,6 +153,7 @@
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/indexing.html">Indexing Arrays</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/saving_and_loading.html">Saving and Loading Arrays</a></li>
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@@ -348,6 +349,9 @@
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../transforms.html">Transforms</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-5"><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.nn.value_and_grad.html">mlx.nn.value_and_grad</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-9" name="toctree-checkbox-9" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-9"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.training.html">mlx.nn.Module.training</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.state.html">mlx.nn.Module.state</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.apply.html">mlx.nn.Module.apply</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.children.html">mlx.nn.Module.children</a></li>
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.kl_div_loss.html">mlx.nn.losses.kl_div_loss</a></li>
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.l1_loss.html">mlx.nn.losses.l1_loss</a></li>
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.log_cosh_loss.html">mlx.nn.losses.log_cosh_loss</a></li>
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.margin_ranking_loss.html">mlx.nn.losses.margin_ranking_loss</a></li>
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.mse_loss.html">mlx.nn.losses.mse_loss</a></li>
|
||||
<li class="toctree-l3 current active"><a class="current reference internal" href="#">mlx.nn.losses.nll_loss</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.smooth_l1_loss.html">mlx.nn.losses.smooth_l1_loss</a></li>
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@@ -471,8 +477,13 @@
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</ul>
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<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.init.html">mlx.optimizers.Optimizer.init</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.SGD.html">mlx.optimizers.SGD</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.RMSprop.html">mlx.optimizers.RMSprop</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Adagrad.html">mlx.optimizers.Adagrad</a></li>
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|
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.utils.tree_map.html">mlx.utils.tree_map</a></li>
|
||||
@@ -665,9 +676,9 @@ document.write(`
|
||||
|
||||
<section id="mlx-nn-losses-nll-loss">
|
||||
<h1>mlx.nn.losses.nll_loss<a class="headerlink" href="#mlx-nn-losses-nll-loss" title="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.losses.nll_loss">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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">-</span> <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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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">-</span> <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="Permalink 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>
|
||||
|
||||
@@ -9,7 +9,7 @@
|
||||
<meta charset="utf-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
|
||||
|
||||
<title>mlx.nn.losses.smooth_l1_loss — MLX 0.1.0 documentation</title>
|
||||
<title>mlx.nn.losses.smooth_l1_loss — MLX 0.2.0 documentation</title>
|
||||
|
||||
|
||||
|
||||
@@ -135,8 +135,8 @@
|
||||
|
||||
|
||||
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.1.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.1.0 documentation - Home"/>`);</script>
|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.2.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.2.0 documentation - Home"/>`);</script>
|
||||
|
||||
|
||||
</a></div>
|
||||
@@ -154,6 +154,7 @@
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/indexing.html">Indexing Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/saving_and_loading.html">Saving and Loading Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/function_transforms.html">Function Transforms</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/compile.html">Compilation</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/numpy.html">Conversion to NumPy and Other Frameworks</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/using_streams.html">Using Streams</a></li>
|
||||
</ul>
|
||||
@@ -349,6 +350,9 @@
|
||||
</li>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../transforms.html">Transforms</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-5"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.eval.html">mlx.core.eval</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.compile.html">mlx.core.compile</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.disable_compile.html">mlx.core.disable_compile</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.enable_compile.html">mlx.core.enable_compile</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.grad.html">mlx.core.grad</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.value_and_grad.html">mlx.core.value_and_grad</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.jvp.html">mlx.core.jvp</a></li>
|
||||
@@ -380,6 +384,7 @@
|
||||
<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 has-children"><a class="reference internal" href="../module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-9"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.training.html">mlx.nn.Module.training</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.state.html">mlx.nn.Module.state</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.apply.html">mlx.nn.Module.apply</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.apply_to_modules.html">mlx.nn.Module.apply_to_modules</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.children.html">mlx.nn.Module.children</a></li>
|
||||
@@ -452,6 +457,7 @@
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.kl_div_loss.html">mlx.nn.losses.kl_div_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.l1_loss.html">mlx.nn.losses.l1_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.log_cosh_loss.html">mlx.nn.losses.log_cosh_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.margin_ranking_loss.html">mlx.nn.losses.margin_ranking_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.mse_loss.html">mlx.nn.losses.mse_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.nll_loss.html">mlx.nn.losses.nll_loss</a></li>
|
||||
<li class="toctree-l3 current active"><a class="current reference internal" href="#">mlx.nn.losses.smooth_l1_loss</a></li>
|
||||
@@ -472,8 +478,13 @@
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../optimizers.html">Optimizers</a><input class="toctree-checkbox" id="toctree-checkbox-14" name="toctree-checkbox-14" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-14"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.OptimizerState.html">mlx.optimizers.OptimizerState</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.html">mlx.optimizers.Optimizer</a></li>
|
||||
<li class="toctree-l2 has-children"><a class="reference internal" href="../../optimizer.html">Optimizer</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.state.html">mlx.optimizers.Optimizer.state</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.apply_gradients.html">mlx.optimizers.Optimizer.apply_gradients</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.init.html">mlx.optimizers.Optimizer.init</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.update.html">mlx.optimizers.Optimizer.update</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.SGD.html">mlx.optimizers.SGD</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.RMSprop.html">mlx.optimizers.RMSprop</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Adagrad.html">mlx.optimizers.Adagrad</a></li>
|
||||
@@ -485,7 +496,7 @@
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Lion.html">mlx.optimizers.Lion</a></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-16" name="toctree-checkbox-16" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-16"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
||||
<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>
|
||||
@@ -666,9 +677,9 @@ document.write(`
|
||||
|
||||
<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="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.losses.smooth_l1_loss">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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="Permalink 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
|
||||
|
||||
@@ -9,7 +9,7 @@
|
||||
<meta charset="utf-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
|
||||
|
||||
<title>mlx.nn.losses.triplet_loss — MLX 0.1.0 documentation</title>
|
||||
<title>mlx.nn.losses.triplet_loss — MLX 0.2.0 documentation</title>
|
||||
|
||||
|
||||
|
||||
@@ -135,8 +135,8 @@
|
||||
|
||||
|
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|
||||
<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.1.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.1.0 documentation - Home"/>`);</script>
|
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<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.2.0 documentation - Home"/>
|
||||
<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.2.0 documentation - Home"/>`);</script>
|
||||
|
||||
|
||||
</a></div>
|
||||
@@ -154,6 +154,7 @@
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/indexing.html">Indexing Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/saving_and_loading.html">Saving and Loading Arrays</a></li>
|
||||
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/numpy.html">Conversion to NumPy and Other Frameworks</a></li>
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</ul>
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|
||||
@@ -666,9 +677,9 @@ document.write(`
|
||||
|
||||
<section id="mlx-nn-losses-triplet-loss">
|
||||
<h1>mlx.nn.losses.triplet_loss<a class="headerlink" href="#mlx-nn-losses-triplet-loss" title="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.losses.triplet_loss">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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">-</span> <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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.losses.</span></span><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">-</span> <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="Permalink 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">
|
||||
|
||||
@@ -9,7 +9,7 @@
|
||||
<meta charset="utf-8" />
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.18.1: http://docutils.sourceforge.net/" />
|
||||
|
||||
<title>mlx.nn.mish — MLX 0.1.0 documentation</title>
|
||||
<title>mlx.nn.mish — MLX 0.2.0 documentation</title>
|
||||
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||||
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||||
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||||
@@ -135,8 +135,8 @@
|
||||
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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 0.1.0 documentation - Home"/>
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<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.1.0 documentation - Home"/>`);</script>
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<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.2.0 documentation - Home"/>
|
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<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.2.0 documentation - Home"/>`);</script>
|
||||
|
||||
|
||||
</a></div>
|
||||
@@ -154,6 +154,7 @@
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/indexing.html">Indexing Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/saving_and_loading.html">Saving and Loading Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/function_transforms.html">Function Transforms</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/compile.html">Compilation</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/numpy.html">Conversion to NumPy and Other Frameworks</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/using_streams.html">Using Streams</a></li>
|
||||
</ul>
|
||||
@@ -349,6 +350,9 @@
|
||||
</li>
|
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../transforms.html">Transforms</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-5"><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.eval.html">mlx.core.eval</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.compile.html">mlx.core.compile</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.disable_compile.html">mlx.core.disable_compile</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.enable_compile.html">mlx.core.enable_compile</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.grad.html">mlx.core.grad</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.value_and_grad.html">mlx.core.value_and_grad</a></li>
|
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.jvp.html">mlx.core.jvp</a></li>
|
||||
@@ -380,6 +384,7 @@
|
||||
<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 has-children"><a class="reference internal" href="../module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-9"><i class="fa-solid fa-chevron-down"></i></label><ul>
|
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.training.html">mlx.nn.Module.training</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.state.html">mlx.nn.Module.state</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.apply.html">mlx.nn.Module.apply</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.apply_to_modules.html">mlx.nn.Module.apply_to_modules</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.children.html">mlx.nn.Module.children</a></li>
|
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@@ -452,6 +457,7 @@
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.kl_div_loss.html">mlx.nn.losses.kl_div_loss</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.l1_loss.html">mlx.nn.losses.l1_loss</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.log_cosh_loss.html">mlx.nn.losses.log_cosh_loss</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="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
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<dt class="sig sig-object py" id="mlx.nn.mish">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<dd><p>Applies the Mish function, element-wise.
|
||||
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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||||
<title>mlx.nn.prelu — MLX 0.1.0 documentation</title>
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<title>mlx.nn.prelu — MLX 0.2.0 documentation</title>
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</a></div>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/indexing.html">Indexing Arrays</a></li>
|
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/saving_and_loading.html">Saving and Loading Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/function_transforms.html">Function Transforms</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/compile.html">Compilation</a></li>
|
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/numpy.html">Conversion to NumPy and Other Frameworks</a></li>
|
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/using_streams.html">Using Streams</a></li>
|
||||
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../transforms.html">Transforms</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-5"><i class="fa-solid fa-chevron-down"></i></label><ul>
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|
||||
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|
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<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.init.html">mlx.optimizers.Optimizer.init</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.update.html">mlx.optimizers.Optimizer.update</a></li>
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</ul>
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|
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.RMSprop.html">mlx.optimizers.RMSprop</a></li>
|
||||
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|
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</ul>
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</li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><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.utils.tree_flatten.html">mlx.utils.tree_flatten</a></li>
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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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@@ -666,9 +677,9 @@ document.write(`
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<section id="mlx-nn-prelu">
|
||||
<h1>mlx.nn.prelu<a class="headerlink" href="#mlx-nn-prelu" title="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.prelu">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<dd><p>Applies the element-wise parametric ReLU.</p>
|
||||
<div class="math notranslate nohighlight">
|
||||
\[\text{PReLU}(x) = \max(0,x) + a * \min(0,x)\]</div>
|
||||
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@@ -9,7 +9,7 @@
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<meta charset="utf-8" />
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<title>mlx.nn.relu — MLX 0.1.0 documentation</title>
|
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<title>mlx.nn.relu — MLX 0.2.0 documentation</title>
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<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.2.0 documentation - Home"/>`);</script>
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</a></div>
|
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@@ -153,6 +153,7 @@
|
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/indexing.html">Indexing Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/saving_and_loading.html">Saving and Loading Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/function_transforms.html">Function Transforms</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/compile.html">Compilation</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/numpy.html">Conversion to NumPy and Other Frameworks</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/using_streams.html">Using Streams</a></li>
|
||||
</ul>
|
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@@ -348,6 +349,9 @@
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</li>
|
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../transforms.html">Transforms</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-5"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<section id="mlx-nn-relu">
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<h1>mlx.nn.relu<a class="headerlink" href="#mlx-nn-relu" title="Permalink to this heading">#</a></h1>
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<dl class="py class">
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<dl class="py function">
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||||
<dt class="sig sig-object py" id="mlx.nn.relu">
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||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<dd><p>Applies the Rectified Linear Unit.</p>
|
||||
<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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<title>mlx.nn.selu — MLX 0.1.0 documentation</title>
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|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/function_transforms.html">Function Transforms</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/compile.html">Compilation</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/numpy.html">Conversion to NumPy and Other Frameworks</a></li>
|
||||
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|
||||
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||||
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</li>
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|
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-16" name="toctree-checkbox-16" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-16"><i class="fa-solid fa-chevron-down"></i></label><ul>
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|
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|
||||
<section id="mlx-nn-selu">
|
||||
<h1>mlx.nn.selu<a class="headerlink" href="#mlx-nn-selu" title="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.selu">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<dd><p>Applies the Scaled Exponential Linear Unit.</p>
|
||||
<div class="math notranslate nohighlight">
|
||||
\[\begin{split}\text{selu}(x) = \begin{cases}
|
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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.silu — MLX 0.1.0 documentation</title>
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<title>mlx.nn.silu — MLX 0.2.0 documentation</title>
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</a></div>
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|
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/saving_and_loading.html">Saving and Loading Arrays</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/function_transforms.html">Function Transforms</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/compile.html">Compilation</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/numpy.html">Conversion to NumPy and Other Frameworks</a></li>
|
||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/using_streams.html">Using Streams</a></li>
|
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</li>
|
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../transforms.html">Transforms</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-5"><i class="fa-solid fa-chevron-down"></i></label><ul>
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</ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-16" name="toctree-checkbox-16" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-16"><i class="fa-solid fa-chevron-down"></i></label><ul>
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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="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
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||||
<dt class="sig sig-object py" id="mlx.nn.silu">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink 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
|
||||
the logistic sigmoid.</p>
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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/" />
|
||||
|
||||
<title>mlx.nn.softshrink — MLX 0.1.0 documentation</title>
|
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<title>mlx.nn.softshrink — MLX 0.2.0 documentation</title>
|
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<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.2.0 documentation - Home"/>`);</script>
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</a></div>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/indexing.html">Indexing Arrays</a></li>
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|
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/compile.html">Compilation</a></li>
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||||
<li class="toctree-l1"><a class="reference internal" href="../../../usage/numpy.html">Conversion to NumPy and Other Frameworks</a></li>
|
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/using_streams.html">Using Streams</a></li>
|
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</li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../transforms.html">Transforms</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-5"><i class="fa-solid fa-chevron-down"></i></label><ul>
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|
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.value_and_grad.html">mlx.core.value_and_grad</a></li>
|
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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-9" name="toctree-checkbox-9" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-9"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l3"><a class="reference internal" href="../_autosummary/mlx.nn.Module.training.html">mlx.nn.Module.training</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-l3"><a class="reference internal" href="mlx.nn.losses.log_cosh_loss.html">mlx.nn.losses.log_cosh_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.margin_ranking_loss.html">mlx.nn.losses.margin_ranking_loss</a></li>
|
||||
<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.mse_loss.html">mlx.nn.losses.mse_loss</a></li>
|
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<li class="toctree-l3"><a class="reference internal" href="mlx.nn.losses.smooth_l1_loss.html">mlx.nn.losses.smooth_l1_loss</a></li>
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|
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</ul>
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</li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../optimizers.html">Optimizers</a><input class="toctree-checkbox" id="toctree-checkbox-14" name="toctree-checkbox-14" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-14"><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.optimizers.OptimizerState.html">mlx.optimizers.OptimizerState</a></li>
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<li class="toctree-l2 has-children"><a class="reference internal" href="../../optimizer.html">Optimizer</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><i class="fa-solid fa-chevron-down"></i></label><ul>
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||||
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|
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<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.init.html">mlx.optimizers.Optimizer.init</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Optimizer.update.html">mlx.optimizers.Optimizer.update</a></li>
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||||
</ul>
|
||||
</li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.SGD.html">mlx.optimizers.SGD</a></li>
|
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.RMSprop.html">mlx.optimizers.RMSprop</a></li>
|
||||
<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Adagrad.html">mlx.optimizers.Adagrad</a></li>
|
||||
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|
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Lion.html">mlx.optimizers.Lion</a></li>
|
||||
</ul>
|
||||
</li>
|
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-16" name="toctree-checkbox-16" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-16"><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.utils.tree_flatten.html">mlx.utils.tree_flatten</a></li>
|
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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.html">mlx.utils.tree_map</a></li>
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@@ -666,9 +677,9 @@ document.write(`
|
||||
|
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<section id="mlx-nn-softshrink">
|
||||
<h1>mlx.nn.softshrink<a class="headerlink" href="#mlx-nn-softshrink" title="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.softshrink">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink 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}
|
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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.step — MLX 0.1.0 documentation</title>
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<title>mlx.nn.step — MLX 0.2.0 documentation</title>
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<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.1.0 documentation - Home"/>
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<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.1.0 documentation - Home"/>`);</script>
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<img src="../../../_static/mlx_logo.png" class="logo__image only-light" alt="MLX 0.2.0 documentation - Home"/>
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<script>document.write(`<img src="../../../_static/mlx_logo.png" class="logo__image only-dark" alt="MLX 0.2.0 documentation - Home"/>`);</script>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/indexing.html">Indexing Arrays</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/function_transforms.html">Function Transforms</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/compile.html">Compilation</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../../usage/numpy.html">Conversion to NumPy and Other Frameworks</a></li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../transforms.html">Transforms</a><input class="toctree-checkbox" id="toctree-checkbox-5" name="toctree-checkbox-5" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-5"><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.value_and_grad.html">mlx.core.value_and_grad</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.core.jvp.html">mlx.core.jvp</a></li>
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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 has-children"><a class="reference internal" href="../module.html">Module</a><input class="toctree-checkbox" id="toctree-checkbox-9" name="toctree-checkbox-9" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-9"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../optimizers.html">Optimizers</a><input class="toctree-checkbox" id="toctree-checkbox-14" name="toctree-checkbox-14" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-14"><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.optimizers.Optimizer.html">mlx.optimizers.Optimizer</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.RMSprop.html">mlx.optimizers.RMSprop</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../_autosummary/mlx.optimizers.Lion.html">mlx.optimizers.Lion</a></li>
|
||||
</ul>
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||||
</li>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-15" name="toctree-checkbox-15" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-15"><i class="fa-solid fa-chevron-down"></i></label><ul>
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<li class="toctree-l1 has-children"><a class="reference internal" href="../../tree_utils.html">Tree Utils</a><input class="toctree-checkbox" id="toctree-checkbox-16" name="toctree-checkbox-16" type="checkbox"/><label class="toctree-toggle" for="toctree-checkbox-16"><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.utils.tree_unflatten.html">mlx.utils.tree_unflatten</a></li>
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|
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@@ -666,9 +677,9 @@ document.write(`
|
||||
|
||||
<section id="mlx-nn-step">
|
||||
<h1>mlx.nn.step<a class="headerlink" href="#mlx-nn-step" title="Permalink to this heading">#</a></h1>
|
||||
<dl class="py class">
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="mlx.nn.step">
|
||||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink to this definition">#</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">mlx.nn.</span></span><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="Permalink 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>
|
||||
|
||||
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