Add changes for 5dd01ed

api/configs.html

@@ -290,7 +290,7 @@ <h2 id="architectureconfigs">ArchitectureConfigs<a class="headerlink" href="#arc
 <blockquote>
 <div><dl class="py class">
 <dt class="sig sig-object py" id="dacapo.experiments.architectures.CNNectomeUNetConfig">
-<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">dacapo.experiments.architectures.</span></span><span class="sig-name descname"><span class="pre">CNNectomeUNetConfig</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmaps_out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmaps_in</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_fmaps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmap_inc_factor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">downsample_factors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kernel_size_down</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kernel_size_up</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_shape_increase</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">upsample_factors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">constant_upsample</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'valid'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">use_attention</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dacapo.experiments.architectures.CNNectomeUNetConfig" title="Link to this definition">¶</a></dt>
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">dacapo.experiments.architectures.</span></span><span class="sig-name descname"><span class="pre">CNNectomeUNetConfig</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_shape</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmaps_out</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmaps_in</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_fmaps</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">fmap_inc_factor</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">downsample_factors</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kernel_size_down</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">kernel_size_up</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">eval_shape_increase</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">upsample_factors</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">constant_upsample</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">padding</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'valid'</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#dacapo.experiments.architectures.CNNectomeUNetConfig" title="Link to this definition">¶</a></dt>
 <dd><p>This class configures the CNNectomeUNet based on
 <a class="reference external" href="https://github.com/saalfeldlab/CNNectome/blob/master/CNNectome/networks/unet_class.py">https://github.com/saalfeldlab/CNNectome/blob/master/CNNectome/networks/unet_class.py</a></p>
 <p>Includes support for super resolution via the upsampling factors.</p>