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<h1>RNNBase<a class="headerlink" href="#rnnbase" title="Permalink to this headline">¶</a></h1>
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<dt id="torch.nn.RNNBase">
<em class="property">class </em><code class="sig-prename descclassname">torch.nn.</code><code class="sig-name descname">RNNBase</code><span class="sig-paren">(</span><em class="sig-param">mode: str</em>, <em class="sig-param">input_size: int</em>, <em class="sig-param">hidden_size: int</em>, <em class="sig-param">num_layers: int = 1</em>, <em class="sig-param">bias: bool = True</em>, <em class="sig-param">batch_first: bool = False</em>, <em class="sig-param">dropout: float = 0.0</em>, <em class="sig-param">bidirectional: bool = False</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/nn/modules/rnn.html#RNNBase"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.nn.RNNBase" title="Permalink to this definition">¶</a></dt>
<dd><dl class="method">
<dt id="torch.nn.RNNBase.flatten_parameters">
<code class="sig-name descname">flatten_parameters</code><span class="sig-paren">(</span><span class="sig-paren">)</span> → None<a class="reference internal" href="../_modules/torch/nn/modules/rnn.html#RNNBase.flatten_parameters"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.nn.RNNBase.flatten_parameters" title="Permalink to this definition">¶</a></dt>
<dd><p>Resets parameter data pointer so that they can use faster code paths.</p>
<p>Right now, this works only if the module is on the GPU and cuDNN is enabled.
Otherwise, it’s a no-op.</p>
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