//***************************************************************************** // 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 = "${MANIFEST}"; NGRAPH_TEST(${BACKEND_NAME}, abc) { 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 f = make_shared<Function>((A + B) * C, ParameterVector{A, B, C}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output shared_ptr<runtime::Tensor> a = backend->create_tensor(element::f32, shape); shared_ptr<runtime::Tensor> b = backend->create_tensor(element::f32, shape); shared_ptr<runtime::Tensor> c = backend->create_tensor(element::f32, shape); shared_ptr<runtime::Tensor> result = backend->create_tensor(element::f32, shape); copy_data(a, test::NDArray<float, 2>({{1, 2}, {3, 4}}).get_vector()); copy_data(b, test::NDArray<float, 2>({{5, 6}, {7, 8}}).get_vector()); copy_data(c, test::NDArray<float, 2>({{9, 10}, {11, 12}}).get_vector()); auto handle = backend->compile(f); handle->call_with_validate({result}, {a, b, c}); EXPECT_TRUE(test::all_close_f(read_vector<float>(result), (test::NDArray<float, 2>({{54, 80}, {110, 144}})).get_vector())); handle->call_with_validate({result}, {b, a, c}); EXPECT_TRUE(test::all_close_f(read_vector<float>(result), (test::NDArray<float, 2>({{54, 80}, {110, 144}})).get_vector())); handle->call_with_validate({result}, {a, c, b}); EXPECT_TRUE(test::all_close_f(read_vector<float>(result), (test::NDArray<float, 2>({{50, 72}, {98, 128}})).get_vector())); } NGRAPH_TEST(${BACKEND_NAME}, abc_int64) { Shape shape{2, 2}; auto A = make_shared<op::Parameter>(element::i64, shape); auto B = make_shared<op::Parameter>(element::i64, shape); auto C = make_shared<op::Parameter>(element::i64, shape); auto f = make_shared<Function>((A + B) * C, ParameterVector{A, B, C}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::i64, shape); copy_data(a, vector<int64_t>{1, 2, 3, 4}); auto b = backend->create_tensor(element::i64, shape); copy_data(b, vector<int64_t>{5, 6, 7, 8}); auto c = backend->create_tensor(element::i64, shape); copy_data(c, vector<int64_t>{9, 10, 11, 12}); auto result = backend->create_tensor(element::i64, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {a, b, c}); EXPECT_EQ((vector<int64_t>{54, 80, 110, 144}), read_vector<int64_t>(result)); handle->call_with_validate({result}, {b, a, c}); EXPECT_EQ((vector<int64_t>{54, 80, 110, 144}), read_vector<int64_t>(result)); handle->call_with_validate({result}, {a, c, b}); EXPECT_EQ((vector<int64_t>{50, 72, 98, 128}), read_vector<int64_t>(result)); }