def __init__(self, vocab_size, emb_size, hidden_size, out_size):
    '：\n            vocab_size:\n            emb_size:\n            hidden_size：\n            out_size:\n        '
    super(BiLSTM, self).__init__()
    self.embedding = nn.Embedding(vocab_size, emb_size)
    self.bilstm = nn.LSTM(emb_size, hidden_size, batch_first=True, bidirectional=True)
    self.lin = nn.Linear((2 * hidden_size), out_size)
：
vocab_size:
emb_size:
hidden_size：
out_size:
def __init__(self, vocab_size, emb_size, hidden_size, out_size):
    '：\n            vocab_size:\n            emb_size:\n            hidden_size：\n            out_size:\n        '
    super(BiLSTM, self).__init__()
    self.embedding = nn.Embedding(vocab_size, emb_size)
    self.bilstm = nn.LSTM(emb_size, hidden_size, batch_first=True, bidirectional=True)
    self.lin = nn.Linear((2 * hidden_size), out_size)