oatTensor): A input sequence passed to encoders. Typically for inputs this will be a padded `FloatTensor` of size ``(batch, seq_length, dimension)``.</span>
<span class="sd">            input_lengths (torch.LongTensor): The length of input tensor. ``(batch)``</span>

<span class="sd">        Returns:</span>
<span class="sd">            (Tensor, Tensor):</span>

<span class="sd">            * outputs (torch.FloatTensor): Log probability of model predictions.  ``(batch, seq_length, num_classes)``</span>
<span