If the to_end or to_begin argument is an invalid type for the array, you don't get an error message, you just get bad results. For example, if you try to put np.nan into an int array:

a = np.array([1, 2, 3])
np.ediff1d(a, np.nan)

You get array([ 1, 1, -9223372036854775808])