

def spatial_2d_padding(x, padding=(1, 1), dim_ordering='th'):
    'Pads the 2nd and 3rd dimensions of a 4D tensor\n    with "padding[0]" and "padding[1]" (resp.) zeros left and right.\n    '
    if (dim_ordering == 'th'):
        pattern = [[0, 0], [0, 0], [padding[0], padding[0]], [padding[1], padding[1]]]
    else:
        pattern = [[0, 0], [x[0], padding[0]], [padding[1], padding[1]], [0, 0]]
    return tf.pad(x, pattern)

dataset/ETHPy150Open fchollet/keras/keras/backend/tensorflow_backend.py spatial_2d_padding/VarMisuse@88/160 `padding`->`x`