作者你好，我运行这段代码
class AttLayer(Layer):
def __init__(self, **kwargs):
self.init = initializers.get('normal')
#self.input_spec = [InputSpec(ndim=3)]
super(AttLayer, self).__init__(**kwargs)
def build(self, input_shape):
assert len(input_shape)==128
#self.W = self.init((input_shape[-1],1))
self.W = self.init((input_shape[-1],))
#self.input_spec = [InputSpec(shape=input_shape)]
self.trainable_weights = [self.W]
super(AttLayer, self).build(input_shape) # be sure you call this somewhere!
def call(self, x, mask=None):
eij = K.tanh(K.dot(x, self.W))
ai = K.exp(eij)
weights = ai/K.sum(ai, axis=1).dimshuffle(0,'x')
weighted_input = x*weights.dimshuffle(0,1,'x')
return weighted_input.sum(axis=1)
def get_output_shape_for(self, input_shape):
return (input_shape[0], input_shape[-1])
出现错误AttributeError: 'Tensor' object has no attribute 'dimshuffle'，请问该怎么处理
2020-06-23
雪球
