[ allennlp.modules.seq2seq_encoders.seq2seq_encoder ]
class Seq2SeqEncoder(_EncoderBase, Registrable)
Seq2SeqEncoder is a
Module that takes as input a sequence of vectors and returns a
modified sequence of vectors. Input shape :
(batch_size, sequence_length, input_dim); output
(batch_size, sequence_length, output_dim).
We add two methods to the basic
You might need this if you want to construct a
Linear layer using the output of this encoder,
or to raise sensible errors for mis-matching input dimensions.
| def get_input_dim(self) -> int
Returns the dimension of the vector input for each element in the sequence input
Seq2SeqEncoder. This is
not the shape of the input tensor, but the
last element of that shape.
| def get_output_dim(self) -> int
Returns the dimension of each vector in the sequence output by this
not the shape of the returned tensor, but the last element of that shape.
| def is_bidirectional(self) -> bool
True if this encoder is bidirectional. If so, we assume the forward direction
of the encoder is the first half of the final dimension, and the backward direction is the