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PyTorch implementation of beam search decoding for seq2seq models

PyTorch-Beam-Search

PyTorch implementation of beam search decoding for seq2seq models based on https://github.com/shawnwun/NNDIAL. Decoding goes seperately for each sentence and stores the nodes in prioritized queue.

Usage: You can specify additional reward for decoding through BeamSearchNode.eval. Works for model with and without attention.