models.py 文件源码

def __init__(self,
                 padding=(1, 1),
                 data_format=None,
                 **kwargs):
        super(ReflectionPadding2D, self).__init__(**kwargs)
        self.data_format = conv_utils.normalize_data_format(data_format)
        if isinstance(padding, int):
            self.padding = ((padding, padding), (padding, padding))
        elif hasattr(padding, '__len__'):
            if len(padding) != 2:
                raise ValueError('`padding` should have two elements. '
                                 'Found: ' + str(padding))
            height_padding = conv_utils.normalize_tuple(padding[0], 2,
                                                        '1st entry of padding')
            width_padding = conv_utils.normalize_tuple(padding[1], 2,
                                                       '2nd entry of padding')
            self.padding = (height_padding, width_padding)
        else:
            raise ValueError('`padding` should be either an int, '
                             'a tuple of 2 ints '
                             '(symmetric_height_pad, symmetric_width_pad), '
                             'or a tuple of 2 tuples of 2 ints '
                             '((top_pad, bottom_pad), (left_pad, right_pad)). '
                             'Found: ' + str(padding))
        self.input_spec = InputSpec(ndim=4)