100 lines
3.8 KiB
C++
100 lines
3.8 KiB
C++
// Copyright (C) 2018-2022 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//
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#include <gtest/gtest.h>
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#include "openvino/op/asinh.hpp"
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#include "shared_test_classes/base/layer_test_utils.hpp"
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#include "base_reference_test.hpp"
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using namespace ov;
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namespace reference_tests {
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namespace {
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struct AsinhParams {
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reference_tests::Tensor input;
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reference_tests::Tensor expected;
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};
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struct Builder : ParamsBuilder<AsinhParams> {
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REFERENCE_TESTS_ADD_SET_PARAM(Builder, input);
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REFERENCE_TESTS_ADD_SET_PARAM(Builder, expected);
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};
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class ReferenceAsinhLayerTest : public testing::TestWithParam<AsinhParams>, public CommonReferenceTest {
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public:
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void SetUp() override {
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auto params = GetParam();
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function = CreateFunction(params.input.shape, params.input.type);
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inputData = {params.input.data};
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refOutData = {params.expected.data};
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}
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static std::string getTestCaseName(const testing::TestParamInfo<AsinhParams>& obj) {
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auto param = obj.param;
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std::ostringstream result;
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result << "shape=" << param.input.shape << "_";
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result << "type=" << param.input.type;
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return result.str();
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}
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private:
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static std::shared_ptr<Model> CreateFunction(const Shape& shape, const element::Type& type) {
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const auto in = std::make_shared<op::v0::Parameter>(type, shape);
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const auto Asinh = std::make_shared<op::v3::Asinh>(in);
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return std::make_shared<ov::Model>(NodeVector {Asinh}, ParameterVector {in});
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}
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};
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TEST_P(ReferenceAsinhLayerTest, AsinhWithHardcodedRefs) {
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Exec();
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}
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} // namespace
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INSTANTIATE_TEST_SUITE_P(
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smoke_Asinh_With_Hardcoded_Refs, ReferenceAsinhLayerTest,
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::testing::Values(
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Builder {}
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.input({{11}, element::f16, std::vector<ngraph::float16> {0.f, 1.f, -1.f, 2.f, -2.f, 3.f, -3.f, 4.f, 5.f, 10.f, 100.f}})
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.expected({{11}, element::f16, std::vector<ngraph::float16> {0.00000000f,
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0.88137359f,
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-0.88137359f,
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1.44363548f,
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-1.44363548f,
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1.81844646f,
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-1.81844646f,
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2.09471255f,
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2.31243834f,
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2.99822295f,
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5.29834237f}}),
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Builder {}
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.input({{11}, element::f32, std::vector<float> {0.f, 1.f, -1.f, 2.f, -2.f, 3.f, -3.f, 4.f, 5.f, 10.f, 100.f}})
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.expected({{11}, element::f32, std::vector<float> {0.00000000f,
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0.88137359f,
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-0.88137359f,
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1.44363548f,
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-1.44363548f,
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1.81844646f,
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-1.81844646f,
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2.09471255f,
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2.31243834f,
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2.99822295f,
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5.29834237f}}),
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Builder {}
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.input({{11}, element::i32, std::vector<int32_t> {-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5}})
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.expected({{11}, element::i32, std::vector<int32_t> {-2, -2, -2, -1, -1, 0, 1, 1, 2, 2, 2}}),
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Builder {}
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.input({{11}, element::i64, std::vector<int64_t> {-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5}})
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.expected({{11}, element::i64, std::vector<int64_t> {-2, -2, -2, -1, -1, 0, 1, 1, 2, 2, 2}}),
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Builder {}
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.input({{6}, element::u32, std::vector<uint32_t> {0, 1, 2, 3, 4, 5}})
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.expected({{6}, element::u32, std::vector<uint32_t> {0, 1, 1, 2, 2, 2}}),
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Builder {}
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.input({{6}, element::u64, std::vector<uint64_t> {0, 1, 2, 3, 4, 5}})
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.expected({{6}, element::u64, std::vector<uint64_t> {0, 1, 1, 2, 2, 2}})),
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ReferenceAsinhLayerTest::getTestCaseName);
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} // namespace reference_tests
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