023331ec2a7b0086abfc81eca16c84a1692ee653,keras/layers/convolutional.py,Cropping2D,__init__,#Cropping2D#Any#Any#,1754

Before Change

        self.cropping = tuple(cropping)
        if len(self.cropping) != 2:
            raise ValueError("`cropping` must be a tuple length of 2.")
        if len(self.cropping[0]) != 2:
            raise ValueError("`cropping[0]` must be a tuple length of 2.")
        if len(self.cropping[1]) != 2:
            raise ValueError("`cropping[1]` must be a tuple length of 2.")
        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=4)]

    def build(self, input_shape):

After Change

                cropping[0], 2,
                "1st entry of cropping")
            width_cropping = conv_utils.normalize_tuple(
                cropping[1], 2,
                "2nd entry of cropping")
            self.cropping = (height_cropping, width_cropping)
        else:

Instances