a_np = np.random.uniform(low=low, high=high, size=shape).astype(A.dtype) * 10
# avoid round check too close to boundary
if check_round:
- a_np += ((np.fmod(a_np, 1) - 0.5) < 1e-6) * 1e-5
+ a_np += ((np.abs(np.fmod(a_np, 1)) - 0.5) < 1e-6) * 1e-5
b_np = f_numpy(a_np)
def check_device(device):
a_np.ravel()[np.random.choice(a_np.size, int(a_np.size * 0.5), replace=False)] = np.nan
# avoid round check too close to boundary
if check_round:
- a_np += ((np.fmod(a_np, 1) - 0.5) < 1e-6) * 1e-5
+ a_np += ((np.abs(np.fmod(a_np, 1)) - 0.5) < 1e-6) * 1e-5
b_np = np.isnan(a_np)
def check_device(device):