tfa.seq2seq.BeamSearchDecoderOutput
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Outputs of a tfa.seq2seq.BeamSearchDecoder
step.
tfa.seq2seq.BeamSearchDecoderOutput(
scores, predicted_ids, parent_ids
)
Attributes |
scores
|
The scores this step, which are the log
probabilities over the output vocabulary, possibly penalized by length
and attention coverage. When tfa.seq2seq.BeamSearchDecoder is created with
output_all_scores=False (default), this will be a float32 Tensor
of shape [batch_size, beam_width] containing the top scores
corresponding to the predicted IDs. When output_all_scores=True ,
this contains the scores for all token IDs and has shape
[batch_size, beam_width, vocab_size] .
|
predicted_ids
|
The token IDs predicted for this step.
A int32 Tensor of shape [batch_size, beam_width] .
|
parent_ids
|
The indices of the parent beam of each beam.
A int32 Tensor of shape [batch_size, beam_width] .
|
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Last updated 2022-06-03 UTC.
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