Negative values returned from tf.math.sobol_sample about tensorflow HOT 6 CLOSED

import tensorflow as tf


int32max = 2147483647

testcases = [(1, int32max), (1, int32max+1), (int32max, int32max), (1, int(1e5)), (1, int(1e10)), (1, int(1e15)), (1, int(1e20))]

for num_results, skip in testcases:
    try:
        a = float(tf.math.sobol_sample(1, num_results, skip))
        print(f"computed {a} for num_results={num_results}, skip={skip}")
    except Exception as err:
        print(f"error computing for num_results={num_results}, skip={skip}: {err}")

error computing for num_results=1, skip=2147483647: num_results+skip must be less than 2147483647 [Op:SobolSample]
error computing for num_results=1, skip=2147483648: skip must be non-negative [Op:SobolSample]
error computing for num_results=2147483647, skip=2147483647: num_results+skip must be less than 2147483647 [Op:SobolSample]
computed 0.5610733032226562 for num_results=1, skip=100000
computed -0.5015935897827148 for num_results=1, skip=10000000000
error computing for num_results=1, skip=1000000000000000: skip must be non-negative [Op:SobolSample]
error computing for num_results=1, skip=100000000000000000000: Can't convert Python sequence with out-of-range integer to Tensor.