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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 2023-05-25 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-05-25 UTC."],[],[]]
View source on GitHub