023331ec2a7b0086abfc81eca16c84a1692ee653,keras/layers/convolutional.py,Cropping3D,__init__,#Cropping3D#Any#Any#,1860

Before Change

        self.cropping = tuple(cropping)
        if len(self.cropping) != 3:
            raise ValueError("`cropping` must be a tuple length of 3.")
        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 len(self.cropping[2]) != 2:
            raise ValueError("`cropping[2]` 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=5)]

After Change

                                                       "1st entry of cropping")
            dim2_cropping = conv_utils.normalize_tuple(cropping[1], 2,
                                                       "2nd entry of cropping")
            dim3_cropping = conv_utils.normalize_tuple(cropping[2], 2,
                                                       "3rd entry of cropping")
            self.cropping = (dim1_cropping, dim2_cropping, dim3_cropping)
        else:

Instances