keras/src/backend/tensorflow/random.py/truncated_normal
def truncated_normal(shape, mean=0.0, stddev=1.0, dtype=None, seed=None):
    dtype = dtype or floatx()
    seed = _cast_seed(draw_seed(seed))
    return tf.random.stateless_truncated_normal(
        shape=shape, mean=mean, stddev=stddev, dtype=dtype, seed=seed
    )