1068e173eafd15e5aa9f40b9f73590a7f5be4a84,keras/backend/tensorflow_backend.py,,spatial_2d_padding,#Any#Any#Any#,2222

Before Change

    data_format = normalize_data_format(data_format)

    if data_format == "channels_first":
        pattern = [[0, 0],
                   [0, 0],
                   list(padding[0]),
                   list(padding[1])]
    else:
        pattern = [[0, 0],
                   list(padding[0]), list(padding[1]),
                   [0, 0]]

After Change

               list(padding[0]),
               list(padding[1]),
               [0, 0]]
    pattern = transpose_shape(pattern, data_format, spatial_axes=(1, 2))
    return tf.pad(x, pattern)


def spatial_3d_padding(x, padding=((1, 1), (1, 1), (1, 1)), data_format=None):

Instances