tf.random.Normal() not generating different value

I am trying to use tf.random.Normal(mean, stddev) where both mean and stddev are like following

mean= np.array([0.5,0.9,0.5,0.8])
stddev=np.array([0.1,0.08.0.1,0.15])

but for same pair the generated values are always same

tf.random.normal([1],mean,stddev, tf.float32).numpy()

for example,

array([0.52523446, 0.92018753, 0.52523446, 0.83785176], dtype=float32)

every time i run the outputs are different but the generated value for same parameters are always same.

I want to avoid getting 0.52523446 twice. How can I ensure getting random results even if there are same mean, stddev pair mutiple times?