//***************************************************************************** // 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/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}, numeric_float_nan) { Shape shape{5}; auto A = op::Constant::create(element::f32, shape, {-2.5f, 25.5f, 2.25f, NAN, 6.0f}); auto B = op::Constant::create(element::f32, shape, {10.0f, 5.0f, 2.25f, 10.0f, NAN}); auto f = make_shared<Function>(make_shared<op::Equal>(A, B), ParameterVector{}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto result = backend->create_tensor(element::boolean, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {}); EXPECT_EQ((vector<char>{false, false, true, false, false}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, numeric_double_nan) { Shape shape{5}; auto A = op::Constant::create(element::f64, shape, {-2.5f, 25.5f, 2.25f, NAN, 6.0f}); auto B = op::Constant::create(element::f64, shape, {10.0f, 5.0f, 2.25f, 10.0f, NAN}); auto f = make_shared<Function>(make_shared<op::Equal>(A, B), ParameterVector{}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto result = backend->create_tensor(element::boolean, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {}); EXPECT_EQ((vector<char>{false, false, true, false, false}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, numeric_float_inf) { Shape shape{5}; auto A = op::Constant::create(element::f32, shape, {-2.5f, 25.5f, 2.25f, INFINITY, 6.0f}); auto B = op::Constant::create(element::f32, shape, {10.0f, 5.0f, 2.25f, 10.0f, -INFINITY}); auto f = make_shared<Function>(make_shared<op::Equal>(A, B), ParameterVector{}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto result = backend->create_tensor(element::boolean, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {}); EXPECT_EQ((vector<char>{false, false, true, false, false}), read_vector<char>(result)); } NGRAPH_TEST(${BACKEND_NAME}, numeric_double_inf) { Shape shape{5}; auto A = op::Constant::create(element::f64, shape, {-2.5f, 25.5f, 2.25f, INFINITY, 6.0f}); auto B = op::Constant::create(element::f64, shape, {10.0f, 5.0f, 2.25f, 10.0f, -INFINITY}); auto f = make_shared<Function>(make_shared<op::Equal>(A, B), ParameterVector{}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto result = backend->create_tensor(element::boolean, shape); auto handle = backend->compile(f); handle->call_with_validate({result}, {}); EXPECT_EQ((vector<char>{false, false, true, false, false}), read_vector<char>(result)); }