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#!/usr/bin/env python3
# coding=utf-8
import torch
import torch.nn as nn
import torch.nn.functional as F
from model.head.abstract_head import AbstractHead
from data.parser.to_mrp.sequential_parser import SequentialParser
from utility.cross_entropy import cross_entropy
class SequentialHead(AbstractHead):
def __init__(self, dataset, args, initialize):
config = {
"label": True,
"edge presence": False,
"edge label": False,
"anchor": True,
"source_anchor": True,
"target_anchor": True
}
super(SequentialHead, self).__init__(dataset, args, config, initialize)
self.parser = SequentialParser(dataset)
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