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import torch | |
import torch.nn as nn | |
from .misc import aeq | |
class DecoderBase(nn.Module): | |
"""Abstract class for decoders. | |
Args: | |
attentional (bool): The decoder returns non-empty attention. | |
""" | |
def __init__(self, attentional=True): | |
super(DecoderBase, self).__init__() | |
self.attentional = attentional | |
def from_opt(cls, opt, embeddings): | |
"""Alternate constructor. | |
Subclasses should override this method. | |
""" | |
raise NotImplementedError |