def test_gelu_operator_with_array():
runtime = get_runtime()
data_value = np.array([[-5, 1], [-2, 3]], dtype=np.float32)
model = ov.gelu(data_value, "erf")
computation = runtime.computation(model)
result = computation()
expected = np.array([[-1.6391277e-06, 8.4134471e-01], [-4.5500278e-02, 2.9959502]], dtype=np.float32)
assert np.allclose(result, expected, 1e-6, 1e-6)
def test_gelu_tanh_operator_with_array():
runtime = get_runtime()
data_value = np.array([[-5, 1], [-2, 3]], dtype=np.float32)
model = ov.gelu(data_value, "tanh")
computation = runtime.computation(model)
result = computation()
expected = np.array([[0.0, 0.841192], [-0.04540223, 2.9963627]], dtype=np.float32)
assert np.allclose(result, expected, 1e-6, 1e-6)
def test_gelu_tanh_operator_with_parameters():
runtime = get_runtime()
data_value = np.array([[-5, 1], [-2, 3]], dtype=np.float32)
data_shape = [2, 2]
parameter_data = ov.parameter(data_shape, name="Data", dtype=np.float32)
model = ov.gelu(parameter_data, "tanh")
computation = runtime.computation(model, parameter_data)
result = computation(data_value)
expected = np.array([[0.0, 0.841192], [-0.04540223, 2.9963627]], dtype=np.float32)
assert np.allclose(result, expected, 1e-6, 1e-6)
def test_gelu_operator_with_parameters():
runtime = get_runtime()
data_value = np.array([[-5, 1], [-2, 3]], dtype=np.float32)
data_shape = [2, 2]
parameter_data = ov.parameter(data_shape, name="Data", dtype=np.float32)
model = ov.gelu(parameter_data, "erf")
computation = runtime.computation(model, parameter_data)
result = computation(data_value)
expected = np.array([[-1.6391277e-06, 8.4134471e-01], [-4.5500278e-02, 2.9959502]], dtype=np.float32)
assert np.allclose(result, expected, 1e-6, 1e-6)