74329d0c1d26301be82955fbf8e524cb6508c953,keras/backend/tensorflow_backend.py,Function,__init__,#Function#Any#Any#Any#,1091

Before Change

    def __init__(self, inputs, outputs, updates=[]):
        assert type(inputs) in {list, tuple}, "Input to a TensorFlow backend function should be a list or tuple."
        assert type(outputs) in {list, tuple}, "Output to a TensorFlow backend function should be a list or tuple."
        assert type(updates) in {list, tuple}, "Updates in a TensorFlow backend function should be a list or tuple."
        self.inputs = list(inputs)
        self.outputs = list(outputs)
        with tf.control_dependencies(self.outputs):
            updates_ops = []

After Change

class Function(object):

    def __init__(self, inputs, outputs, updates=[]):
        if not isinstance(inputs, (list, tuple)):
            raise TypeError("`inputs` to a TensorFlow backend function "
                            "should be a list or tuple.")
        if not isinstance(outputs, (list, tuple)):
            raise TypeError("`outputs` of a TensorFlow backend function "
                            "should be a list or tuple.")
        if not isinstance(updates, (list, tuple)):
            raise TypeError("`updates` in a TensorFlow backend function "
                            "should be a list or tuple.")
        self.inputs = list(inputs)
        self.outputs = list(outputs)
        with tf.control_dependencies(self.outputs):
            updates_ops = []

Instances