//***************************************************************************** // 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 <algorithm> #include <cstdio> #include <iostream> #include <list> #include <memory> #include "gtest/gtest.h" #include "ngraph/ngraph.hpp" #include "ngraph/util.hpp" #include "util/all_close.hpp" #include "util/test_tools.hpp" using namespace ngraph; using namespace std; TEST(halide, halide_subgraph) { Shape shape{8}; 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 D = make_shared<op::Parameter>(element::f32, shape); auto relu = make_shared<op::Relu>((A + B) * C); auto f = make_shared<Function>(relu + D, ParameterVector{A, B, C, D}); auto backend = runtime::Backend::create("CPU"); 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> d = backend->create_tensor(element::f32, shape); shared_ptr<runtime::Tensor> result = backend->create_tensor(element::f32, shape); vector<float> data{-1, 4, -2, 5, 1, 5, 7, 9}; copy_data(a, data); copy_data(b, data); copy_data(c, data); copy_data(d, data); vector<float> expected{1, 36, 6, 55, 3, 55, 105, 171}; auto handle = backend->compile(f); handle->call_with_validate({result}, {a, b, c, d}); EXPECT_TRUE(test::all_close(read_vector<float>(result), expected, 1.0e-4f, 1.0e-4f)); }