def test_function_add_output_port():
input_shape = PartialShape([1])
param = ops.parameter(input_shape, dtype=np.float32, name="data")
relu1 = ops.relu(param, name="relu1")
relu1.get_output_tensor(0).set_names({"relu_t1"})
relu2 = ops.relu(relu1, name="relu2")
function = Function(relu2, [param], "TestFunction")
assert len(function.get_results()) == 1
function.add_outputs(relu1.output(0))
assert len(function.get_results()) == 2
def test_function_add_output_incorrect_tensor_name():
input_shape = PartialShape([1])
param = ops.parameter(input_shape, dtype=np.float32, name="data")
relu1 = ops.relu(param, name="relu1")
relu1.get_output_tensor(0).set_names({"relu_t1"})
relu2 = ops.relu(relu1, name="relu2")
function = Function(relu2, [param], "TestFunction")
assert len(function.get_results()) == 1
with pytest.raises(RuntimeError) as e:
function.add_outputs("relu_t")
assert "Tensor name relu_t was not found." in str(e.value)
def test_add_outputs_incorrect_outputs_list():
input_shape = PartialShape([1])
param = ops.parameter(input_shape, dtype=np.float32, name="data")
relu1 = ops.relu(param, name="relu1")
relu1.get_output_tensor(0).set_names({"relu_t1"})
function = Function(relu1, [param], "TestFunction")
assert len(function.get_results()) == 1
with pytest.raises(TypeError) as e:
function.add_outputs([0, 0])
assert "Incorrect type of a value to add as output at index 0" in str(
e.value)
def test_function_add_output_incorrect_idx():
input_shape = PartialShape([1])
param = ops.parameter(input_shape, dtype=np.float32, name="data")
relu1 = ops.relu(param, name="relu1")
relu1.get_output_tensor(0).set_names({"relu_t1"})
relu2 = ops.relu(relu1, name="relu2")
function = Function(relu2, [param], "TestFunction")
assert len(function.get_results()) == 1
with pytest.raises(RuntimeError) as e:
function.add_outputs(("relu1", 10))
assert "Cannot add output to port 10 operation relu1 has only 1 outputs." in str(
e.value)
def test_add_outputs_several_tensors():
input_shape = PartialShape([1])
param = ops.parameter(input_shape, dtype=np.float32, name="data")
relu1 = ops.relu(param, name="relu1")
relu1.get_output_tensor(0).set_names({"relu_t1"})
relu2 = ops.relu(relu1, name="relu2")
relu2.get_output_tensor(0).set_names({"relu_t2"})
relu3 = ops.relu(relu2, name="relu3")
function = Function(relu3, [param], "TestFunction")
assert len(function.get_results()) == 1
function.add_outputs(["relu_t1", "relu_t2"])
assert len(function.get_results()) == 3
def test_function_add_outputs_tensor_name():
input_shape = PartialShape([1])
param = ops.parameter(input_shape, dtype=np.float32, name="data")
relu1 = ops.relu(param, name="relu1")
relu1.get_output_tensor(0).set_names({"relu_t1"})
assert "relu_t1" in relu1.get_output_tensor(0).names
relu2 = ops.relu(relu1, name="relu2")
function = Function(relu2, [param], "TestFunction")
assert len(function.get_results()) == 1
function.add_outputs("relu_t1")
assert len(function.get_results()) == 2
assert isinstance(function.outputs[1].get_tensor(), Tensor)
assert "relu_t1" in function.outputs[1].get_tensor().names
def test_function_add_outputs_op_name():
input_shape = PartialShape([1])
param = ops.parameter(input_shape, dtype=np.float32, name="data")
relu1 = ops.relu(param, name="relu1")
relu1.get_output_tensor(0).set_names({"relu_t1"})
relu2 = ops.relu(relu1, name="relu2")
function = Function(relu2, [param], "TestFunction")
assert len(function.get_results()) == 1
new_outs = function.add_outputs(("relu1", 0))
assert len(function.get_results()) == 2
assert len(new_outs) == 1
assert new_outs[0].get_node() == function.outputs[1].get_node()
assert new_outs[0].get_index() == function.outputs[1].get_index()
