trying to load shared variables on keras

sideloadingtensors.py

'''
use as:
some_data = DataLayer(K.variable(some_tensor,dtype=whatever), ...)
next_layer = Dense(some_number)
out_tensor = next_layer(some_data.tensor)
'''
class DataLayer(Layer):
    '''TODO: dosctring
    '''
    def __init__(self, input_tensor, input_dtype=None, name=None):
        self.input_spec = None
        self.supports_masking = False
        self.uses_learning_phase = False
        self.trainable = False
        self.built = True
        self.ignore_me = True

        self.inbound_nodes = []
        self.outbound_nodes = []

        self.trainable_weights = []
        self.non_trainable_weights = []
        self.regularizers = []
        self.constraints = {}

        if not name:
            prefix = 'static'
            name = prefix + '_' + str(K.get_uid(prefix))
        self.name = name

        if not input_dtype:
            input_dtype = K.floatx()

        self.tensor = K.variable(input_tensor, dtype=input_dtype, name=name)
        self.batch_input_shape = input_tensor.shape
        self.tensor._keras_shape = input_tensor.shape
        self.tensor._keras_history = (self, 0, 0)
        self.tensor._uses_learning_phase = False
        self.tensor._sideload = True

        Node(self,
             inbound_layers=[],
             node_indices=[],
             tensor_indices=[],
             input_tensors=[self.tensor],
             output_tensors=[self.tensor],
             input_masks=[None],
             output_masks=[None],
             input_shapes=[self.batch_input_shape],
             output_shapes=[self.batch_input_shape])

    def get_config(self):
        config = {'batch_input_shape': self.batch_input_shape,
                  'input_dtype': self.input_dtype,
                  'name': self.name}
        return config