//***************************************************************************** // Copyright 2017-2019 Intel Corporation // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. //***************************************************************************** #include "gtest/gtest.h" #include "ngraph/ngraph.hpp" #include "util/all_close_f.hpp" #include "util/ndarray.hpp" #include "util/test_control.hpp" #include "util/test_tools.hpp" using namespace std; using namespace ngraph; static string s_manifest = "${MANIFEST}"; // Multiple retrive values NGRAPH_TEST(${BACKEND_NAME}, multiple_result) { Shape shape{2, 2}; auto A = make_shared<op::Parameter>(element::f32, shape); auto B = make_shared<op::Parameter>(element::f32, shape); auto C = make_shared<op::Parameter>(element::f32, shape); auto A_add_B = make_shared<op::Add>(A, B); auto A_add_B_mul_C = make_shared<op::Multiply>(A_add_B, C); auto f = make_shared<Function>(NodeVector{A_add_B, A_add_B_mul_C}, ParameterVector{A, B, C}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); auto a = backend->create_tensor(element::f32, shape); copy_data(a, vector<float>{1, 2, 3, 4}); auto b = backend->create_tensor(element::f32, shape); copy_data(b, vector<float>{5, 6, 7, 8}); auto c = backend->create_tensor(element::f32, shape); copy_data(c, vector<float>{9, 10, 11, 12}); auto r0 = backend->create_tensor(element::f32, shape); auto r1 = backend->create_tensor(element::f32, shape); auto handle = backend->compile(f); handle->call_with_validate({r0, r1}, {a, b, c}); EXPECT_TRUE(test::all_close_f((vector<float>{6, 8, 10, 12}), read_vector<float>(r0))); EXPECT_TRUE(test::all_close_f((vector<float>{54, 80, 110, 144}), read_vector<float>(r1))); }