seq2seq_encoder
allennlp.modules.seq2seq_encoders.seq2seq_encoder
Seq2SeqEncoder#
class Seq2SeqEncoder(_EncoderBase, Registrable)
A 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
shape : (batch_size, sequence_length, output_dim).
We add two methods to the basic Module API: get_input_dim() and get_output_dim().
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.
get_input_dim#
class Seq2SeqEncoder(_EncoderBase, Registrable):
| ...
| def get_input_dim(self) -> int
Returns the dimension of the vector input for each element in the sequence input
to a Seq2SeqEncoder. This is not the shape of the input tensor, but the
last element of that shape.
get_output_dim#
class Seq2SeqEncoder(_EncoderBase, Registrable):
| ...
| def get_output_dim(self) -> int
Returns the dimension of each vector in the sequence output by this Seq2SeqEncoder.
This is not the shape of the returned tensor, but the last element of that shape.
is_bidirectional#
class Seq2SeqEncoder(_EncoderBase, Registrable):
| ...
| def is_bidirectional(self) -> bool
Returns 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
second half.