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

View source on GitHub

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年05月25日 UTC.