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AttributeError: can't set attribute

See original GitHub issue

I updated my keras from 2.0.6 to 2.0.7. Then the following code (works fine with 2.0.6) produces strange errors:

>>> import keras as K
Using TensorFlow backend.
>>> model = K.models.Sequential()
>>> l1 = K.layers.Conv2D(1, 1, input_shape=(2, 2, 2))
>>> model.add(l1)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/jet/anaconda3/lib/python3.6/site-packages/keras/models.py", line 442, in add
    layer(x)
  File "/home/jet/anaconda3/lib/python3.6/site-packages/keras/engine/topology.py", line 575, in __call__
    self.build(input_shapes[0])
  File "/home/jet/anaconda3/lib/python3.6/site-packages/keras/layers/convolutional.py", line 134, in build
    constraint=self.kernel_constraint)
  File "/home/jet/anaconda3/lib/python3.6/site-packages/keras/legacy/interfaces.py", line 87, in wrapper
    return func(*args, **kwargs)
  File "/home/jet/anaconda3/lib/python3.6/site-packages/keras/engine/topology.py", line 399, in add_weight
    constraint=constraint)
  File "/home/jet/anaconda3/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py", line 323, in variable
    v.constraint = constraint
AttributeError: can't set attribute

The backend is tensorflow 1.3 compiled with CUDA (it works fine with keras-2.0.6).

Issue Analytics

State:
Created 6 years ago
Reactions:9
Comments:9 (2 by maintainers)

Top GitHub Comments

12reactions

nicolewhitecommented, Jan 4, 2018

Don’t override self.weights; call yours self.attention_weights.

class Attention(Layer):
    def __init__(self, **kwargs):
        super(Attention, self).__init__(**kwargs)

    def build(self, input_shape):
        self.attention_weights = self.add_weight(name='attention_weights',
            shape=(input_shape[1], input_shape[1]),
            initializer='uniform',
            trainable=True)
        super(Attention, self).build(input_shape)

    def call(self, x):
        return multiply([x, K.softmax(K.dot(x, self.attention_weights))])

    def compute_output_shape(self, input_shape):
        return input_shape

3reactions

abhijeetknayakcommented, Jun 26, 2019

I get the same error from the following code: model_1 = Sequential([Dense(units=hidden_1_num_units, input_dim=g_input_shape, activation=‘relu’, kernel_regularizer=L1L2(l1=1e-5, l2=1e-5)), Dense(units=hidden_2_num_units, activation=‘relu’, kernel_regularizer=L1L2(l1=1e-5, l2=1e-5)), Dense(units=g_output_num_units, activation=‘sigmoid’, kernel_regularizer=L1L2(l1=1e-5, l2=1e-5)), Reshape(d_input_shape)]) model_2 = Sequential([InputLayer(input_shape=d_input_shape), Flatten(), Dense(units=hidden_1_num_units, activation=‘relu’, kernel_regularizer=L1L2(l1=1e-5, l2=1e-5)), Dense(units=hidden_2_num_units, activation=‘relu’, kernel_regularizer=L1L2(l1=1e-5, l2=1e-5)), Dense(units=d_output_num_units, activation=‘sigmoid’, kernel_regularizer=L1L2(l1=1e-5, l2=1e-5))])

model_1.summary() model_2.summary()

ganModel = simple_gan(model_1, model_2, normal_latent_sampling((100,))) model = AdversarialModel(base_model=ganModel, player_params=[model_1.trainable_weights, model_2.trainable_weights])

Traceback (most recent call last): File “C:/Users/NAYAKAB/Desktop/Personal/PycharmProjects/KF/gan.py”, line 60, in <module> model = AdversarialModel(base_model=ganModel, player_params=[model_1.trainable_weights, model_2.trainable_weights]) File “C:\Softwares\Python3\lib\site-packages\keras_adversarial\adversarial_model.py”, line 44, in init self.layers = [] File “C:\Softwares\Python3\lib\site-packages\keras\engine\network.py”, line 316, in setattr super(Network, self).setattr(name, value) AttributeError: can’t set attribute

Any Help?