Warning: This project is deprecated. TensorFlow Addons has stopped development,
The project will only be providing minimal maintenance releases until May 2024. See the full
announcement here or on
github.
tfa.seq2seq.BeamSearchDecoderState
Stay organized with collections
Save and categorize content based on your preferences.
State of a tfa.seq2seq.BeamSearchDecoder
.
tfa.seq2seq.BeamSearchDecoderState(
cell_state, log_probs, finished, lengths, accumulated_attention_probs
)
Attributes |
cell_state
|
The cell state returned at the previous time step.
|
log_probs
|
The accumulated log probabilities of each beam.
A float32 Tensor of shape [batch_size, beam_width] .
|
finished
|
The finished status of each beam.
A bool Tensor of shape [batch_size, beam_width] .
|
lengths
|
The accumulated length of each beam.
An int64 Tensor of shape [batch_size, beam_width] .
|
accumulated_attention_probs
|
A namedtuple alias for field number 4
|
accumulated_attention_prob
|
Accumulation of the attention
probabilities (used to compute the coverage penalty)
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-05-25 UTC."],[],[]]