Can't set the attribute "trainable_weights", likely because it conflicts with an existing read-only

Question

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.

I am using LSTM with the attention layer.

class Attention(Layer):

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])

I am not sure what happened suddenly. Anyone encounter similar problem?

Answer 1

change

self.trainable_weights = [self.W]

to

self._trainable_weights = [self.W]