relax CUDASIM test fp16 intrinsic comparison tolerance. - #10822

Mismatched elements: 1 / 32 (3.12%)
Max absolute difference among violations: 0.003906
Max relative difference among violations: 0.0008197
 ACTUAL: array([4.797, 4.52 , 4.086, 3.715, 4.51 , 4.7  , 4.64 , 3.893, 4.715,
       4.332, 4.516, 4.312, 4.69 , 3.889, 4.64 , 4.496, 4.56 , 4.504,
       4.77 , 4.74 , 4.336, 4.656, 4.555, 4.715, 4.81 , 3.926, 4.3  ,
       4.574, 4.758, 4.36 , 4.695, 4.434], dtype=float16)
 DESIRED: array([4.797, 4.52 , 4.086, 3.715, 4.51 , 4.7  , 4.64 , 3.893, 4.715,
       4.332, 4.516, 4.312, 4.69 , 3.889, 4.64 , 4.496, 4.56 , 4.504,
       4.766, 4.74 , 4.336, 4.656, 4.555, 4.715, 4.81 , 3.926, 4.3  ,
       4.574, 4.758, 4.36 , 4.695, 4.434], dtype=float16)

import numpy as np

# ACTUAL vs DESIRED from the failing CI job (fn=log10), numba#10807
actual  = np.array([4.797, 4.52, 4.086, 3.715, 4.51, 4.7, 4.64, 3.893, 4.715,
                    4.332, 4.516, 4.312, 4.69, 3.889, 4.64, 4.496, 4.56, 4.504,
                    4.77, 4.74, 4.336, 4.656, 4.555, 4.715, 4.81, 3.926, 4.3,
                    4.574, 4.758, 4.36, 4.695, 4.434], dtype=np.float16)
desired = np.array([4.797, 4.52, 4.086, 3.715, 4.51, 4.7, 4.64, 3.893, 4.715,
                    4.332, 4.516, 4.312, 4.69, 3.889, 4.64, 4.496, 4.56, 4.504,
                    4.766, 4.74, 4.336, 4.656, 4.555, 4.715, 4.81, 3.926, 4.3,
                    4.574, 4.758, 4.36, 4.695, 4.434], dtype=np.float16)

for rtol in (1e-7, 1e-3):
    try:
        np.testing.assert_allclose(actual, desired, rtol=rtol)
        print(f"rtol={rtol}: PASS")
    except AssertionError:
        print(f"rtol={rtol}: FAIL")

rtol=1e-07: FAIL
rtol=0.001: PASS