//***************************************************************************** // 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(${BACKEND_NAME}, negative) { Shape shape{2, 3}; auto A = make_shared<op::Parameter>(element::f32, shape); auto f = make_shared<Function>(make_shared<op::Negative>(A), ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); // Create some tensors for input/output auto a = backend->create_tensor(element::f32, shape); copy_data(a, vector<float>{1, -2, 0, -4.75f, 8.75f, -8.75f}); 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, 2, 0, 4.75f, -8.75f, 8.75f}), read_vector<float>(result), MIN_FLOAT_TOLERANCE_BITS)); } NGRAPH_TEST(${BACKEND_NAME}, negative_i32) { auto shape_a = Shape{2, 5}; auto A = make_shared<op::Parameter>(element::i32, shape_a); auto relu = make_shared<op::Negative>(A); auto shape_rt = Shape{2, 5}; auto f = make_shared<Function>(relu, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); auto a = backend->create_tensor(element::i32, shape_a); copy_data(a, vector<int32_t>{1, 8, -8, 17, -2, 1, 8, -8, 17, -1}); auto result = backend->create_tensor(element::i32, shape_rt); vector<int32_t> expected{-1, -8, 8, -17, 2, -1, -8, 8, -17, 1}; auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ(expected, read_vector<int32_t>(result)); } NGRAPH_TEST(${BACKEND_NAME}, negative_f32) { auto shape_a = Shape{2, 5}; auto A = make_shared<op::Parameter>(element::f32, shape_a); auto relu = make_shared<op::Negative>(A); auto shape_rt = Shape{2, 5}; auto f = make_shared<Function>(relu, ParameterVector{A}); auto backend = runtime::Backend::create("${BACKEND_NAME}"); auto a = backend->create_tensor(element::f32, shape_a); copy_data( a, vector<float>{1.35f, 8.76f, -8.0f, 17.234f, -2.121f, 1.0f, 8.7f, -8.92f, 17.0f, -1.0f}); auto result = backend->create_tensor(element::f32, shape_rt); vector<float> expected{ -1.35f, -8.76f, 8.0f, -17.234f, 2.121f, -1.0f, -8.7f, 8.92f, -17.0f, 1.0f}; auto handle = backend->compile(f); handle->call_with_validate({result}, {a}); EXPECT_EQ(expected, read_vector<float>(result)); }