Deci-AI
/
super-gradients
connected to https://github.com/Deci-AI/super-gradients.git


  
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  <section id="super-gradients-training-datasets-dataset-interfaces-package">
<h1>super_gradients.training.datasets.dataset_interfaces package<a class="headerlink" href="#super-gradients-training-datasets-dataset-interfaces-package" title="Permalink to this headline"></a></h1>
<section id="submodules">
<h2>Submodules<a class="headerlink" href="#submodules" title="Permalink to this headline"></a></h2>
</section>
<section id="module-super_gradients.training.datasets.dataset_interfaces.dataset_interface">
<span id="super-gradients-training-datasets-dataset-interfaces-dataset-interface-module"></span><h2>super_gradients.training.datasets.dataset_interfaces.dataset_interface module<a class="headerlink" href="#module-super_gradients.training.datasets.dataset_interfaces.dataset_interface" title="Permalink to this headline"></a></h2>
<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.Cifar100DatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">Cifar100DatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#Cifar100DatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.Cifar100DatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.LibraryDatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.LibraryDatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.LibraryDatasetInterface</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.Cifar10DatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">Cifar10DatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#Cifar10DatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.Cifar10DatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.LibraryDatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.LibraryDatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.LibraryDatasetInterface</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.CityscapesDatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">CityscapesDatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</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">cache_labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_images</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</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="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#CityscapesDatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CityscapesDatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.ClassificationDatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">ClassificationDatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">normalization_mean</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(0,</span> <span class="pre">0,</span> <span class="pre">0)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">normalization_std</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(1,</span> <span class="pre">1,</span> <span class="pre">1)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">resolution</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">64</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#ClassificationDatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.ClassificationDatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.ClassificationTestDatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">ClassificationTestDatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">image_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">32</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">classes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#ClassificationTestDatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.ClassificationTestDatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestDatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestDatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestDatasetInterface</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCo2014DetectionDatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">CoCo2014DetectionDatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</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">cache_labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_images</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_list_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'train2014.txt'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_list_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'val2014.txt'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#CoCo2014DetectionDatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCo2014DetectionDatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDetectionDatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDetectionDatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDetectionDatasetInterface</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDataSetInterfaceBase">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">CoCoDataSetInterfaceBase</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#CoCoDataSetInterfaceBase"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDataSetInterfaceBase" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDetectionDatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">CoCoDetectionDatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</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">cache_labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_images</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_list_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'train2017.txt'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_list_file</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'val2017.txt'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#CoCoDetectionDatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDetectionDatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDataSetInterfaceBase" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDataSetInterfaceBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDataSetInterfaceBase</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoSegmentationDatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">CoCoSegmentationDatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</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">cache_labels</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_images</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset_classes_inclusion_tuples_list</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">Optional</span><span class="p"><span class="pre">[</span></span><span class="pre">list</span><span class="p"><span class="pre">]</span></span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#CoCoSegmentationDatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoSegmentationDatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDataSetInterfaceBase" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDataSetInterfaceBase"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.CoCoDataSetInterfaceBase</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">DatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_loader</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">val_loader</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">test_loader</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">classes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#DatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <code class="xref py py-class docutils literal notranslate"><span class="pre">object</span></code></p>
<p>DatasetInterface - This class manages all of the “communiation” the Model has with the Data Sets</p>
<dl class="py method">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.build_data_loaders">
<span class="sig-name descname"><span class="pre">build_data_loaders</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size_factor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_batch_size</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">val_batch_size</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">test_batch_size</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">distributed_sampler</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</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="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#DatasetInterface.build_data_loaders"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.build_data_loaders" title="Permalink to this definition"></a></dt>
<dd><p>define train, val (and optionally test) loaders. The method deals separately with distributed training and standard
(non distributed, or parallel training). In the case of distributed training we need to rely on distributed
samplers.
:param batch_size_factor: int - factor to multiply the batch size (usually for multi gpu)
:param num_workers: int - number of workers (parallel processes) for dataloaders
:param train_batch_size: int - batch size for train loader, if None will be taken from dataset_params
:param val_batch_size: int - batch size for val loader, if None will be taken from dataset_params
:param distributed_sampler: boolean flag for distributed training mode
:return: train_loader, val_loader, classes: list of classes</p>
</dd></dl>

<dl class="py method">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.download_from_cloud">
<span class="sig-name descname"><span class="pre">download_from_cloud</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#DatasetInterface.download_from_cloud"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.download_from_cloud" title="Permalink to this definition"></a></dt>
<dd></dd></dl>

<dl class="py method">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.get_data_loaders">
<span class="sig-name descname"><span class="pre">get_data_loaders</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#DatasetInterface.get_data_loaders"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.get_data_loaders" title="Permalink to this definition"></a></dt>
<dd><p>Get self.train_loader, self.test_loader, self.classes.</p>
<p>If the data loaders haven’t been initialized yet, build them first.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>kwargs</strong> – kwargs are passed to build_data_loaders.</p>
</dd>
</dl>
</dd></dl>

<dl class="py method">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.get_dataset_params">
<span class="sig-name descname"><span class="pre">get_dataset_params</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#DatasetInterface.get_dataset_params"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.get_dataset_params" title="Permalink to this definition"></a></dt>
<dd></dd></dl>

<dl class="py method">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.get_val_sample">
<span class="sig-name descname"><span class="pre">get_val_sample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">num_samples</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#DatasetInterface.get_val_sample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.get_val_sample" title="Permalink to this definition"></a></dt>
<dd></dd></dl>

<dl class="py method">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.print_dataset_details">
<span class="sig-name descname"><span class="pre">print_dataset_details</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#DatasetInterface.print_dataset_details"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface.print_dataset_details" title="Permalink to this definition"></a></dt>
<dd></dd></dl>

</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DetectionTestDatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">DetectionTestDatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">image_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">320</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#DetectionTestDatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DetectionTestDatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestDatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestDatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestDatasetInterface</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.ExternalDatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">ExternalDatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">train_loader</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">val_loader</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_classes</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#ExternalDatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.ExternalDatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface</span></code></a></p>
<dl class="py method">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.ExternalDatasetInterface.get_data_loaders">
<span class="sig-name descname"><span class="pre">get_data_loaders</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size_factor</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_workers</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">int</span></span> <span class="o"><span class="pre">=</span></span> <span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_batch_size</span></span><span class="p"><span class="pre">:</span></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="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">val_batch_size</span></span><span class="p"><span class="pre">:</span></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="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">distributed_sampler</span></span><span class="p"><span class="pre">:</span></span> <span class="n"><span class="pre">bool</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="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#ExternalDatasetInterface.get_data_loaders"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.ExternalDatasetInterface.get_data_loaders" title="Permalink to this definition"></a></dt>
<dd><p>Get self.train_loader, self.test_loader, self.classes.</p>
<p>If the data loaders haven’t been initialized yet, build them first.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>kwargs</strong> – kwargs are passed to build_data_loaders.</p>
</dd>
</dl>
</dd></dl>

</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.ImageNetDatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">ImageNetDatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'/data/Imagenet'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#ImageNetDatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.ImageNetDatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.LibraryDatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">LibraryDatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">name</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'cifar10'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">to_cutout</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="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#LibraryDatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.LibraryDatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.PascalAUG2012SegmentationDataSetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">PascalAUG2012SegmentationDataSetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</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">cache_labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_images</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="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#PascalAUG2012SegmentationDataSetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.PascalAUG2012SegmentationDataSetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.PascalVOC2012DetectionDataSetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">PascalVOC2012DetectionDataSetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</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">cache_labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_images</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="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#PascalVOC2012DetectionDataSetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.PascalVOC2012DetectionDataSetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.PascalVOC2012SegmentationDataSetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">PascalVOC2012SegmentationDataSetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</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">cache_labels</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cache_images</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="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#PascalVOC2012SegmentationDataSetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.PascalVOC2012SegmentationDataSetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.SegmentationTestDatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">SegmentationTestDatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">image_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">512</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">4</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#SegmentationTestDatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.SegmentationTestDatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestDatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestDatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestDatasetInterface</span></code></a></p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestDatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">TestDatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">trainset</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">dataset_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">classes</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#TestDatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestDatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface</span></code></a></p>
<dl class="py method">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestDatasetInterface.get_data_loaders">
<span class="sig-name descname"><span class="pre">get_data_loaders</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">batch_size_factor</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_workers</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">8</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">train_batch_size</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">val_batch_size</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">distributed_sampler</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="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#TestDatasetInterface.get_data_loaders"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestDatasetInterface.get_data_loaders" title="Permalink to this definition"></a></dt>
<dd><p>Get self.train_loader, self.test_loader, self.classes.</p>
<p>If the data loaders haven’t been initialized yet, build them first.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>kwargs</strong> – kwargs are passed to build_data_loaders.</p>
</dd>
</dl>
</dd></dl>

</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestYoloDetectionDatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">TestYoloDetectionDatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">input_dims</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">(3,</span> <span class="pre">32,</span> <span class="pre">32)</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">batch_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">5</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#TestYoloDetectionDatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.TestYoloDetectionDatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface</span></code></a></p>
<p>note: the output size is (batch_size, 6) in the test while in real training
the size of axis 0 can vary (the number of bounding boxes)</p>
</dd></dl>

<dl class="py class">
<dt class="sig sig-object py" id="super_gradients.training.datasets.dataset_interfaces.dataset_interface.TinyImageNetDatasetInterface">
<em class="property"><span class="pre">class</span> </em><span class="sig-prename descclassname"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.</span></span><span class="sig-name descname"><span class="pre">TinyImageNetDatasetInterface</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">dataset_params</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">{}</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">data_dir</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">'/data/TinyImagenet'</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/super_gradients/training/datasets/dataset_interfaces/dataset_interface.html#TinyImageNetDatasetInterface"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.TinyImageNetDatasetInterface" title="Permalink to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="#super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface" title="super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface"><code class="xref py py-class docutils literal notranslate"><span class="pre">super_gradients.training.datasets.dataset_interfaces.dataset_interface.DatasetInterface</span></code></a></p>
</dd></dl>

</section>
<section id="module-super_gradients.training.datasets.dataset_interfaces">
<span id="module-contents"></span><h2>Module contents<a class="headerlink" href="#module-super_gradients.training.datasets.dataset_interfaces" title="Permalink to this headline"></a></h2>
</section>
</section>


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