//***************************************************************************** // 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.hpp" #include "util/all_close_f.hpp" #include "util/known_element_types.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 = "${MANIFEST}"; NGRAPH_TEST(${BACKEND_NAME}, multiple_backends) { Shape shape{2, 2}; auto A1 = make_shared<op::Parameter>(element::f32, shape); auto B1 = make_shared<op::Parameter>(element::f32, shape); auto f = make_shared<Function>(A1 + B1, ParameterVector{A1, B1}); auto A2 = make_shared<op::Parameter>(element::f32, shape); auto B2 = make_shared<op::Parameter>(element::f32, shape); auto g = make_shared<Function>(A2 * B2, ParameterVector{A2, B2}); auto backend1 = runtime::Backend::create("${BACKEND_NAME}"); auto backend2 = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output shared_ptr<runtime::Tensor> a1 = backend1->create_tensor(element::f32, shape); shared_ptr<runtime::Tensor> b1 = backend1->create_tensor(element::f32, shape); shared_ptr<runtime::Tensor> result1 = backend1->create_tensor(element::f32, shape); shared_ptr<runtime::Tensor> a2 = backend2->create_tensor(element::f32, shape); shared_ptr<runtime::Tensor> b2 = backend2->create_tensor(element::f32, shape); shared_ptr<runtime::Tensor> result2 = backend2->create_tensor(element::f32, shape); copy_data(a1, test::NDArray<float, 2>({{1, 2}, {3, 4}}).get_vector()); copy_data(b1, test::NDArray<float, 2>({{5, 6}, {7, 8}}).get_vector()); copy_data(a2, test::NDArray<float, 2>({{1, 2}, {3, 4}}).get_vector()); copy_data(b2, test::NDArray<float, 2>({{5, 6}, {7, 8}}).get_vector()); auto handle1 = backend1->compile(f); handle1->call_with_validate({result1}, {a1, b1}); EXPECT_TRUE(test::all_close_f(read_vector<float>(result1), (test::NDArray<float, 2>({{6, 8}, {10, 12}})).get_vector())); auto handle2 = backend2->compile(g); handle2->call_with_validate({result2}, {a2, b2}); EXPECT_TRUE(test::all_close_f(read_vector<float>(result2), (test::NDArray<float, 2>({{5, 12}, {21, 32}})).get_vector())); }