def compute_attention_bias(self, inputs=None):
    '修改LM Mask的序列长度（从 self.inputs[0] 改为 self.inputs[1] ）\n        '
    old_inputs = self.inputs[:]
    self.inputs = [old_inputs[1]]
    mask = super(T5_Decoder, self).compute_attention_bias(inputs)
    self.inputs = old_inputs
    return mask
修改LM Mask的序列长度（从 self.inputs[0] 改为 self.inputs[1] ）
def compute_attention_bias(self, inputs=None):
    '\n        '
    old_inputs = self.inputs[:]
    self.inputs = [old_inputs[1]]
    mask = super(T5_Decoder, self).compute_attention_bias(inputs)
    self.inputs = old_inputs
    return mask