无法设置属性"trainable_weights",可能是因为它与现有的只读冲突 [英] Can't set the attribute "trainable_weights", likely because it conflicts with an existing read-only
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问题描述
我的代码在colab中运行完美.但是今天它没有运行.它说无法设置属性"trainable_weights",可能是因为它与对象的现有只读属性冲突.请选择其他名称.
My code was running perfectly in colab. But today it's not running. It says Can't set the attribute "trainable_weights", likely because it conflicts with an existing read-only @property of the object. Please choose a different name.
我正在将LSTM与关注层配合使用.
I am using LSTM with the attention layer.
班级注意力(层):
def __init__(self, **kwargs):
self.init = initializers.get('normal')
#self.input_spec = [InputSpec(ndim=3)]
super(Attention, self).__init__(**kwargs)
def build(self, input_shape):
assert len(input_shape)==3
#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(Attention, 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])
我不确定突然发生了什么.有人遇到类似的问题吗?
I am not sure what happened suddenly. Anyone encounter similar problem?
推荐答案
更改
self.trainable_weights = [self.W]
到
self._trainable_weights = [self.W]
这篇关于无法设置属性"trainable_weights",可能是因为它与现有的只读冲突的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!
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