import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.autograd import Variable
from networks.embedding import *
from networks.encoder import *
from networks.selector import *
from networks.classifier import *
from .Model import Model

class CNN_ONE(Model):
	def __init__(self, config):
		super(CNN_ONE, self).__init__(config)
		self.encoder = CNN(config)
		self.selector = One(config, config.sen_hidden_size, config.path_hidden_size)
