023331ec2a7b0086abfc81eca16c84a1692ee653,keras/layers/convolutional.py,ZeroPadding3D,__init__,#ZeroPadding3D#Any#Any#,1625

Before Change

        super(ZeroPadding3D, self).__init__(**kwargs)
        if data_format == "default":
            data_format = K.image_data_format()
        self.padding = tuple(padding)
        if data_format not in {"channels_last", "channels_first"}:
            raise ValueError("data_format must be in {"channels_last", "channels_first"}.")
        self.data_format = data_format
        self.input_spec = [InputSpec(ndim=5)]

After Change

        if isinstance(padding, int):
            self.padding = ((padding, padding), (padding, padding), (padding, padding))
        if hasattr(padding, "__len__"):
            if len(padding) != 3:
                raise ValueError("TODO")
            dim1_padding = conv_utils.normalize_tuple(padding[0], 2,
                                                      "1st entry of padding")
            dim2_padding = conv_utils.normalize_tuple(padding[1], 2,
                                                      "2nd entry of padding")
            dim3_padding = conv_utils.normalize_tuple(padding[2], 2,
                                                      "3rd entry of padding")
            self.padding = (dim1_padding, dim2_padding, dim3_padding)
        else:

Instances