//***************************************************************************** // Copyright 2017-2020 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/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}, round) { Shape shape{5}; auto A = make_shared<op::Parameter>(element::f32, shape); auto f = make_shared<Function>(make_shared<op::Round>(A), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); auto a = backend->create_tensor(element::f32, shape); copy_data(a, vector<float>{0.9f, 2.5f, 2.3f, 1.5f, -4.5f}); auto result = backend->create_tensor(element::f32, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_TRUE(test::all_close_f((vector<float>{1.0f, 2.0f, 2.0f, 2.0f, -4.0f}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS)); } NGRAPH_TEST(${BACKEND_NAME}, round_2D) { Shape shape{3, 5}; auto A = make_shared<op::Parameter>(element::f32, shape); auto f = make_shared<Function>(make_shared<op::Round>(A), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); auto a = backend->create_tensor(element::f32, shape); copy_data(a, vector<float>{0.1f, 0.5f, 0.9f, 1.2f, 1.5f, 1.8f, 2.3f, 2.5f, 2.7f, -1.1f, -1.5f, -1.9f, -2.2f, -2.5f, -2.8f}); auto result = backend->create_tensor(element::f32, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_TRUE(test::all_close_f( (vector<float>{ 0.f, 0.f, 1.f, 1.f, 2.f, 2.f, 2.f, 2.f, 3.f, -1.f, -2.f, -2.f, -2.f, -2.f, -3.f}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS)); }