Files
openvino/ngraph/test/backend/elu.in.cpp
Ilya Churaev faeaf045a9 Graph comparator to ngraph util (#7729)
* Moved FrameworkNode to nGraph

* Moved graph comparator to ngraph test util

* Fixed build

* Try to fix centos

* Fix export target

* Moved engine utils to separate library

* Removed ONNX util from common library

* Fixed build

* Fixed code style
2021-10-01 07:24:28 +03:00

55 lines
1.8 KiB
C++

// Copyright (C) 2018-2021 Intel Corporation
// SPDX-License-Identifier: Apache-2.0
//
#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 ${BACKEND_NAME}_DOUBLE_TOLERANCE_BITS
#endif
// clang-format on
#include "gtest/gtest.h"
#include "ngraph/ngraph.hpp"
#include "engines_util/test_engines.hpp"
#include "engines_util/test_case.hpp"
#include "util/test_control.hpp"
using namespace std;
using namespace ngraph;
static string s_manifest = "${MANIFEST}";
using TestEngine = test::ENGINE_CLASS_NAME(${BACKEND_NAME});
NGRAPH_TEST(${BACKEND_NAME}, elu) {
auto A = make_shared<op::Parameter>(element::f32, Shape{3, 2});
auto elu = make_shared<op::Elu>(A, 0.5f);
auto function = make_shared<Function>(NodeVector{elu}, ParameterVector{A});
auto test_case = test::TestCase<TestEngine>(function);
test_case.add_input(vector<float>{-2.f, 3.f, -2.f, 1.f, -1.f, 0.f});
test_case.add_expected_output(vector<float>{-0.432332358f, 3.f, -0.432332358f, 1.f, -0.316060279f, 0.f});
test_case.run();
}
NGRAPH_TEST(${BACKEND_NAME}, elu_negative_alpha) {
auto A = make_shared<op::Parameter>(element::f32, Shape{3, 2});
auto elu = make_shared<op::Elu>(A, -1.f);
auto function = make_shared<Function>(NodeVector{elu}, ParameterVector{A});
auto test_case = test::TestCase<TestEngine>(function);
test_case.add_input(vector<float>{-2.f, 3.f, -2.f, 1.f, -1.f, 0.f});
test_case.add_expected_output(vector<float>{0.864664717f, 3.f, 0.864664717f, 1.f, 0.632120559f, 0.f});
test_case.run();
}