def __init__(self, input_size, hidden_size, num_embeddings=128, CUDA=True):
super(AttentionCell, self).__init__()
self.i2h = nn.Linear(input_size, hidden_size, bias=False)
self.h2h = nn.Linear(hidden_size, hidden_size)
self.score = nn.Linear(hidden_size, 1, bias=False)
self.rnn = nn.GRUCell(input_size + num_embeddings, hidden_size)
self.hidden_size = hidden_size
self.input_size = input_size
self.num_embeddings = num_embeddings
self.fracPickup = fracPickup(CUDA=CUDA)
def __init__(self, input_size, hidden_size, num_embeddings=128, CUDA=True):
"""
:param input_size: 输入维度
:param hidden_size: cell个数
:param num_embeddings:
:param CUDA: GPU支持
"""
super(AttentionCell, self).__init__()
self.i2h = nn.Linear(input_size, hidden_size, bias=False)
self.h2h = nn.Linear(hidden_size, hidden_size)
self.score = nn.Linear(hidden_size, 1, bias=False)
self.rnn = nn.GRUCell(input_size + num_embeddings, hidden_size)
self.hidden_size = hidden_size
self.input_size = input_size
self.num_embeddings = num_embeddings
self.fracPickup = fracPickup(CUDA=CUDA) # 论文中的FP方法，提高识别准确率
