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<article role="main">
<section id="mlp">
<span id="id1"></span><h1>MLP<a class="headerlink" href="#mlp" title="Permalink to this heading">#</a></h1>
<p>Multi Layer Perceptron</p>
<span class="target" id="module-nerfstudio.field_components.mlp"></span><dl class="py class">
<dt class="sig sig-object py" id="nerfstudio.field_components.mlp.MLP">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">nerfstudio.field_components.mlp.</span></span><span class="sig-name descname"><span class="pre">MLP</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">in_dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</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>, <em class="sig-param"><span class="n"><span class="pre">skip_connections</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</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>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Module</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">ReLU()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Module</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>, <em class="sig-param"><span class="n"><span class="pre">implementation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Literal</span><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'tcnn'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'torch'</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">'torch'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/nerfstudio/field_components/mlp.html#MLP"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#nerfstudio.field_components.mlp.MLP" title="Permalink to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">FieldComponent</span></code></p>
<p>Multilayer perceptron</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>in_dim</strong> – Input layer dimension</p></li>
<li><p><strong>num_layers</strong> – Number of network layers</p></li>
<li><p><strong>layer_width</strong> – Width of each MLP layer</p></li>
<li><p><strong>out_dim</strong> – Output layer dimension. Uses layer_width if None.</p></li>
<li><p><strong>activation</strong> – intermediate layer activation function.</p></li>
<li><p><strong>out_activation</strong> – output activation function.</p></li>
<li><p><strong>implementation</strong> – Implementation of hash encoding. Fallback to torch if tcnn not available.</p></li>
</ul>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="nerfstudio.field_components.mlp.MLP.build_nn_modules">
<span class="sig-name descname"><span class="pre">build_nn_modules</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="reference internal" href="../../../_modules/nerfstudio/field_components/mlp.html#MLP.build_nn_modules"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#nerfstudio.field_components.mlp.MLP.build_nn_modules" title="Permalink to this definition">#</a></dt>
<dd><p>Initialize the torch version of the multi-layer perceptron.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="nerfstudio.field_components.mlp.MLP.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">in_tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Float</span><span class="p"><span class="pre">[</span></span><span class="pre">Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'*bs</span> <span class="pre">in_dim'</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Float</span><span class="p"><span class="pre">[</span></span><span class="pre">Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'*bs</span> <span class="pre">out_dim'</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../../_modules/nerfstudio/field_components/mlp.html#MLP.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#nerfstudio.field_components.mlp.MLP.forward" title="Permalink to this definition">#</a></dt>
<dd><p>Returns processed tensor</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><p><strong>in_tensor</strong> – Input tensor to process</p>
</dd>
</dl>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="nerfstudio.field_components.mlp.MLP.get_tcnn_network_config">
<em class="property"><span class="pre">classmethod</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_tcnn_network_config</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">activation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_activation</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer_width</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">dict</span></span></span><a class="reference internal" href="../../../_modules/nerfstudio/field_components/mlp.html#MLP.get_tcnn_network_config"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#nerfstudio.field_components.mlp.MLP.get_tcnn_network_config" title="Permalink to this definition">#</a></dt>
<dd><p>Get the network configuration for tcnn if implemented</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="nerfstudio.field_components.mlp.MLP.pytorch_fwd">
<span class="sig-name descname"><span class="pre">pytorch_fwd</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">in_tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Float</span><span class="p"><span class="pre">[</span></span><span class="pre">Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'*bs</span> <span class="pre">in_dim'</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Float</span><span class="p"><span class="pre">[</span></span><span class="pre">Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'*bs</span> <span class="pre">out_dim'</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../../_modules/nerfstudio/field_components/mlp.html#MLP.pytorch_fwd"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#nerfstudio.field_components.mlp.MLP.pytorch_fwd" title="Permalink to this definition">#</a></dt>
<dd><p>Process input with a multilayer perceptron.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><p><strong>in_tensor</strong> – Network input</p>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><p>MLP network output</p>
</dd>
</dl>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="nerfstudio.field_components.mlp.MLPWithHashEncoding">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">nerfstudio.field_components.mlp.</span></span><span class="sig-name descname"><span class="pre">MLPWithHashEncoding</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_levels</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</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">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_res</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</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">16</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_res</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</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">1024</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">log2_hashmap_size</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</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">19</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">features_per_level</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</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">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">hash_init_scale</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</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">0.001</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">interpolation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Literal</span><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'Nearest'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'Linear'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'Smoothstep'</span></span><span class="p"><span class="pre">]</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>, <em class="sig-param"><span class="n"><span class="pre">num_layers</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</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">2</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">layer_width</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</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">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_dim</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">int</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>, <em class="sig-param"><span class="n"><span class="pre">skip_connections</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</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>, <em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Module</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">ReLU()</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out_activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Module</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>, <em class="sig-param"><span class="n"><span class="pre">implementation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Literal</span><span class="p"><span class="pre">[</span></span><span class="s"><span class="pre">'tcnn'</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'torch'</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">'torch'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/nerfstudio/field_components/mlp.html#MLPWithHashEncoding"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#nerfstudio.field_components.mlp.MLPWithHashEncoding" title="Permalink to this definition">#</a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">FieldComponent</span></code></p>
<p>Multilayer perceptron with hash encoding</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>num_levels</strong> – Number of feature grids.</p></li>
<li><p><strong>min_res</strong> – Resolution of smallest feature grid.</p></li>
<li><p><strong>max_res</strong> – Resolution of largest feature grid.</p></li>
<li><p><strong>log2_hashmap_size</strong> – Size of hash map is 2^log2_hashmap_size.</p></li>
<li><p><strong>features_per_level</strong> – Number of features per level.</p></li>
<li><p><strong>hash_init_scale</strong> – Value to initialize hash grid.</p></li>
<li><p><strong>interpolation</strong> – Interpolation override for tcnn hashgrid. Not supported for torch unless linear.</p></li>
<li><p><strong>num_layers</strong> – Number of network layers</p></li>
<li><p><strong>layer_width</strong> – Width of each MLP layer</p></li>
<li><p><strong>out_dim</strong> – Output layer dimension. Uses layer_width if None.</p></li>
<li><p><strong>activation</strong> – intermediate layer activation function.</p></li>
<li><p><strong>out_activation</strong> – output activation function.</p></li>
<li><p><strong>implementation</strong> – Implementation of hash encoding. Fallback to torch if tcnn not available.</p></li>
</ul>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="nerfstudio.field_components.mlp.MLPWithHashEncoding.build_nn_modules">
<span class="sig-name descname"><span class="pre">build_nn_modules</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="reference internal" href="../../../_modules/nerfstudio/field_components/mlp.html#MLPWithHashEncoding.build_nn_modules"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#nerfstudio.field_components.mlp.MLPWithHashEncoding.build_nn_modules" title="Permalink to this definition">#</a></dt>
<dd><p>Initialize the torch version of the MLP with hash encoding.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="nerfstudio.field_components.mlp.MLPWithHashEncoding.forward">
<span class="sig-name descname"><span class="pre">forward</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">in_tensor</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Float</span><span class="p"><span class="pre">[</span></span><span class="pre">Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'*bs</span> <span class="pre">in_dim'</span></span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">Float</span><span class="p"><span class="pre">[</span></span><span class="pre">Tensor</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="s"><span class="pre">'*bs</span> <span class="pre">out_dim'</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../../_modules/nerfstudio/field_components/mlp.html#MLPWithHashEncoding.forward"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#nerfstudio.field_components.mlp.MLPWithHashEncoding.forward" title="Permalink to this definition">#</a></dt>
<dd><p>Returns processed tensor</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><p><strong>in_tensor</strong> – Input tensor to process</p>
</dd>
</dl>
</dd></dl>
</dd></dl>
<dl class="py function">
<dt class="sig sig-object py" id="nerfstudio.field_components.mlp.activation_to_tcnn_string">
<span class="sig-prename descclassname"><span class="pre">nerfstudio.field_components.mlp.</span></span><span class="sig-name descname"><span class="pre">activation_to_tcnn_string</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">activation</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">Module</span><span class="p"><span class="pre">]</span></span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">str</span></span></span><a class="reference internal" href="../../../_modules/nerfstudio/field_components/mlp.html#activation_to_tcnn_string"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#nerfstudio.field_components.mlp.activation_to_tcnn_string" title="Permalink to this definition">#</a></dt>
<dd><p>Converts a torch.nn activation function to a string that can be used to
initialize a TCNN activation function.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><p><strong>activation</strong> – torch.nn activation function</p>
</dd>
<dt class="field-even">Returns<span class="colon">:</span></dt>
<dd class="field-even"><p>TCNN activation function string</p>
</dd>
<dt class="field-odd">Return type<span class="colon">:</span></dt>
<dd class="field-odd"><p>str</p>
</dd>
</dl>
</dd></dl>
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<ul>
<li><a class="reference internal" href="#">MLP</a><ul>
<li><a class="reference internal" href="#nerfstudio.field_components.mlp.MLP"><code class="docutils literal notranslate"><span class="pre">MLP</span></code></a><ul>
<li><a class="reference internal" href="#nerfstudio.field_components.mlp.MLP.build_nn_modules"><code class="docutils literal notranslate"><span class="pre">MLP.build_nn_modules()</span></code></a></li>
<li><a class="reference internal" href="#nerfstudio.field_components.mlp.MLP.forward"><code class="docutils literal notranslate"><span class="pre">MLP.forward()</span></code></a></li>
<li><a class="reference internal" href="#nerfstudio.field_components.mlp.MLP.get_tcnn_network_config"><code class="docutils literal notranslate"><span class="pre">MLP.get_tcnn_network_config()</span></code></a></li>
<li><a class="reference internal" href="#nerfstudio.field_components.mlp.MLP.pytorch_fwd"><code class="docutils literal notranslate"><span class="pre">MLP.pytorch_fwd()</span></code></a></li>
</ul>
</li>
<li><a class="reference internal" href="#nerfstudio.field_components.mlp.MLPWithHashEncoding"><code class="docutils literal notranslate"><span class="pre">MLPWithHashEncoding</span></code></a><ul>
<li><a class="reference internal" href="#nerfstudio.field_components.mlp.MLPWithHashEncoding.build_nn_modules"><code class="docutils literal notranslate"><span class="pre">MLPWithHashEncoding.build_nn_modules()</span></code></a></li>
<li><a class="reference internal" href="#nerfstudio.field_components.mlp.MLPWithHashEncoding.forward"><code class="docutils literal notranslate"><span class="pre">MLPWithHashEncoding.forward()</span></code></a></li>
</ul>
</li>
<li><a class="reference internal" href="#nerfstudio.field_components.mlp.activation_to_tcnn_string"><code class="docutils literal notranslate"><span class="pre">activation_to_tcnn_string()</span></code></a></li>
</ul>
</li>
</ul>
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