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conv2d() 得到了一个意外的关键字参数“border_mode”

当我尝试使用 keras-2.1.3 和 theano-1.0.1 https://github.com/marcellacornia/sam/blob/master/attentive_convlstm.py运行此代码时

def get_initial_states(self, x):
    initial_state = K.sum(x, axis=1)
    initial_state = K.conv2d(initial_state, K.zeros((self.nb_filters_out, self.nb_filters_in, 1, 1)), border_mode='same')
    initial_states = [initial_state for _ in range(len(self.states))]

    return initial_states

Traceback (most recent call last):
  File "main.py", line 63, in <module>
    m = Model(input=[x, x_maps], output=sam_resnet([x, x_maps]))
  File "E:\sam-master\models.py", line 136, in sam_resnet
    nb_cols=3, nb_rows=3)(att_convlstm)
  File "C:\ProgramData\Anaconda3\lib\site-packages\keras\engine\topology.py", line 617, in __call__
    output = self.call(inputs, **kwargs)
  File "E:\sam-master\attentive_convlstm.py", line 143, in call
    initial_states = self.get_initial_states(x)
  File "E:\sam-master\attentive_convlstm.py", line 42, in get_initial_states …
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python theano lstm keras

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