Why take the first element of a batch after padding RNN output? about vsepp HOT 2 CLOSED

Seemed that pad_packed_sequence returns a tuple rather than a tensor of shape [batch_size, seq_len, embed_size]

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As you correctly pointed out, pad_packed_sequence returns a tuple, where the first elements is the padded sequence.
https://pytorch.org/docs/stable/nn.html#torch.nn.utils.rnn.pad_packed_sequence

This is from an old pytorch tutorial that I cannot find now. The purpose is to handle variable size sequences. Nowadays, it is more common to pad sequences and make them equal length at the time of batch creation. This is true for pytorch official examples:
https://github.com/pytorch/examples/tree/master/word_language_model

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