def test_clamp_operator_with_array():
runtime = get_runtime()
data_value = np.array([[-5, 9], [45, 3]], dtype=np.float32)
min_value = np.float32(3)
max_value = np.float32(12)
model = ov.clamp(data_value, min_value, max_value)
computation = runtime.computation(model)
result = computation()
expected = np.clip(data_value, min_value, max_value)
assert np.allclose(result, expected)
def test_clamp_operator():
runtime = get_runtime()
data_shape = [2, 2]
parameter_data = ov.parameter(data_shape, name="Data", dtype=np.float32)
min_value = np.float32(3)
max_value = np.float32(12)
model = ov.clamp(parameter_data, min_value, max_value)
computation = runtime.computation(model, parameter_data)
data_value = np.array([[-5, 9], [45, 3]], dtype=np.float32)
result = computation(data_value)
expected = np.clip(data_value, min_value, max_value)
assert np.allclose(result, expected)