Error while executing the demo notebook

[tchaton]

Genome encoding and accuracy data stored at Wed Jan 24 16:22:07 2018.csv

model 1/20 - generation 1/10:

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ValueError Traceback (most recent call last) in () 4 5 devol = DEvol(genome_handler) ----> 6 model = devol.run(dataset, num_generations, population_size, num_epochs) 7 model.summary()

/home/thomas/dsa-experimental/thomas/imagification/Ensemble_Testing/devol/devol.pyc in run(self, dataset, num_generations, pop_size, epochs, fitness, metric) 79 print("\nmodel {0}/{1} - generation {2}/{3}:\n"
80 .format(i + 1, len(members), 1, num_generations)) ---> 81 res = self.evaluate(members[i], epochs) 82 v = res[metric_index] 83 del res

/home/thomas/dsa-experimental/thomas/imagification/Ensemble_Testing/devol/devol.pyc in evaluate(self, genome, epochs) 114 115 def evaluate(self, genome, epochs): --> 116 model = self.genome_handler.decode(genome) 117 loss, accuracy = None, None 118 try:

/home/thomas/dsa-experimental/thomas/imagification/Ensemble_Testing/devol/genome_handler.pyc in decode(self, genome) 121 genome[offset + 1], (3, 3), 122 padding='same') --> 123 model.add(convolution) 124 if genome[offset + 2]: 125 model.add(BatchNormalization())

/usr/local/lib/python2.7/dist-packages/keras/models.pyc in add(self, layer) 462 # and create the node connecting the current layer 463 # to the input layer we just created. --> 464 layer(x) 465 466 if len(layer.inbound_nodes[-1].output_tensors) != 1:

/usr/local/lib/python2.7/dist-packages/keras/engine/topology.pyc in call(self, inputs, **kwargs) 574 'layer.build(batch_input_shape)') 575 if len(input_shapes) == 1: --> 576 self.build(input_shapes[0]) 577 else: 578 self.build(input_shapes)

/usr/local/lib/python2.7/dist-packages/keras/layers/convolutional.pyc in build(self, input_shape) 132 name='kernel', 133 regularizer=self.kernel_regularizer, --> 134 constraint=self.kernel_constraint) 135 if self.use_bias: 136 self.bias = self.add_weight(shape=(self.filters,),

/usr/local/lib/python2.7/dist-packages/keras/legacy/interfaces.pyc in wrapper(*args, **kwargs) 85 warnings.warn('Update your ' + object_name + 86 ' call to the Keras 2 API: ' + signature, stacklevel=2) ---> 87 return func(*args, **kwargs) 88 wrapper._original_function = func 89 return wrapper

/usr/local/lib/python2.7/dist-packages/keras/engine/topology.pyc in add_weight(self, name, shape, dtype, initializer, regularizer, trainable, constraint) 398 dtype=dtype, 399 name=name, --> 400 constraint=constraint) 401 if regularizer is not None: 402 self.add_loss(regularizer(weight))

/usr/local/lib/python2.7/dist-packages/keras/backend/tensorflow_backend.pyc in variable(value, dtype, name, constraint) 383 v._uses_learning_phase = False 384 return v --> 385 v = tf.Variable(value, dtype=tf.as_dtype(dtype), name=name) 386 if isinstance(value, np.ndarray): 387 v._keras_shape = value.shape

/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variables.pyc in init(self, initial_value, trainable, collections, validate_shape, caching_device, name, variable_def, dtype, expected_shape, import_scope, constraint) 211 dtype=dtype, 212 expected_shape=expected_shape, --> 213 constraint=constraint) 214 215 def repr(self):

/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/variables.pyc in _init_from_args(self, initial_value, trainable, collections, validate_shape, caching_device, name, dtype, expected_shape, constraint) 320 "construct, such as a loop or conditional. When creating a " 321 "variable inside a loop or conditional, use a lambda as the " --> 322 "initializer." % name) 323 # pylint: enable=protected-access 324 shape = (self._initial_value.get_shape()

ValueError: Initializer for variable conv2d_4/kernel/ is from inside a control-flow construct, such as a loop or conditional. When creating a variable inside a loop or conditional, use a lambda as the initializer.