//***************************************************************************** // 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 <algorithm> #include <cinttypes> #include <cmath> #include <cstdlib> #include <random> #include <string> // clang-format off #ifdef ${BACKEND_NAME}_FLOAT_TOLERANCE_BITS #define DEFAULT_FLOAT_TOLERANCE_BITS ${BACKEND_NAME}_FLOAT_TOLERANCE_BITS #endif #ifdef ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS #define DEFAULT_DOUBLE_TOLERANCE_BITS ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS #endif // clang-format on #include "gtest/gtest.h" #include "ngraph/ngraph.hpp" #include "util/all_close.hpp" #include "util/all_close_f.hpp" #include "util/ndarray.hpp" #include "util/test_control.hpp" #include "util/test_tools.hpp" using namespace std; using namespace ngraph; static string s_manifest = "${MANIFEST}"; NGRAPH_TEST(${BACKEND_NAME}, add) { Shape shape{2, 2}; auto A = make_shared<op::Parameter>(element::f32, shape); auto B = make_shared<op::Parameter>(element::f32, shape); auto f = make_shared<Function>(make_shared<op::Add>(A, B), ParameterVector{A, B}); auto backend = runtime::Backend::create("${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> 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()); auto handle = backend->compile(f); handle->call_with_validate({result}, {a, b}); EXPECT_TRUE(test::all_close_f(read_vector<float>(result), (test::NDArray<float, 2>({{6, 8}, {10, 12}})).get_vector())); } NGRAPH_TEST(${BACKEND_NAME}, add_overload) { Shape shape{2, 2}; auto A = make_shared<op::Parameter>(element::f32, shape); auto B = make_shared<op::Parameter>(element::f32, shape); auto f = make_shared<Function>(A + B, ParameterVector{A, B}); auto backend = runtime::Backend::create("${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> 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()); auto handle = backend->compile(f); handle->call_with_validate({result}, {a, b}); EXPECT_TRUE(test::all_close_f(read_vector<float>(result), (test::NDArray<float, 2>({{6, 8}, {10, 12}})).get_vector())); } NGRAPH_TEST(${BACKEND_NAME}, add_in_place) { Shape shape{2, 2}; auto A = make_shared<op::Parameter>(element::f32, shape); auto B = make_shared<op::Parameter>(element::f32, shape); auto T = A + B; auto T2 = T + T; auto T3 = T2 + T2; auto T4 = T3 + T3; auto f = make_shared<Function>(T4, ParameterVector{A, B}); auto backend = runtime::Backend::create("${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> 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()); auto handle = backend->compile(f); handle->call_with_validate({result}, {a, b}); EXPECT_TRUE(test::all_close_f(read_vector<float>(result), (test::NDArray<float, 2>({{48, 64}, {80, 96}})).get_vector())); }