90 lines
3.9 KiB
C++
90 lines
3.9 KiB
C++
// Copyright (C) 2021 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 "functional_test_utils/skip_tests_config.hpp"
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#include "openvino/op/erf.hpp"
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#include "base_reference_test.hpp"
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using namespace reference_tests;
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using namespace ov;
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struct ErfParams {
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template <class IT>
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ErfParams(const ov::PartialShape& shape, const ov::element::Type& iType, const std::vector<IT>& iValues)
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: pshape(shape), inType(iType), outType(iType), inputData(CreateTensor(iType, iValues)) {
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std::vector<IT> oValues;
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std::vector<double> output;
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for (auto element : iValues)
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output.push_back(static_cast<double>(element));
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std::transform(output.begin(), output.end(), output.begin(), [](double input) -> double {
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return std::erf(input);
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});
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if (std::is_integral<IT>()) {
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std::transform(output.begin(), output.end(), output.begin(), [](double input) -> double {
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return std::round(input);
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});
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}
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for (auto element : output)
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oValues.push_back(static_cast<IT>(element));
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refData = CreateTensor(outType, oValues);
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}
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ov::PartialShape pshape;
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ov::element::Type inType;
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ov::element::Type outType;
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ov::runtime::Tensor inputData;
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ov::runtime::Tensor refData;
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};
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class ReferenceErfLayerTest : public testing::TestWithParam<ErfParams>, public CommonReferenceTest {
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public:
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void SetUp() override {
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SKIP_IF_CURRENT_TEST_IS_DISABLED();
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auto params = GetParam();
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function = CreateFunction(params.pshape, params.inType, params.outType);
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inputData = {params.inputData};
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refOutData = {params.refData};
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}
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static std::string getTestCaseName(const testing::TestParamInfo<ErfParams>& obj) {
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auto param = obj.param;
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std::ostringstream result;
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result << "shape=" << param.pshape << "_";
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result << "iType=" << param.inType << "_";
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result << "oType=" << param.outType;
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return result.str();
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}
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private:
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static std::shared_ptr<Function> CreateFunction(const PartialShape& input_shape, const element::Type& input_type,
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const element::Type& expected_output_type) {
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const auto in = std::make_shared<op::v0::Parameter>(input_type, input_shape);
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const auto erf = std::make_shared<op::v0::Erf>(in);
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return std::make_shared<ov::Function>(NodeVector {erf}, ParameterVector {in});
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}
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};
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TEST_P(ReferenceErfLayerTest, CompareWithRefs) {
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Exec();
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}
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INSTANTIATE_TEST_SUITE_P(
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smoke_Erf_With_Hardcoded_Refs, ReferenceErfLayerTest,
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::testing::Values(ErfParams(ov::PartialShape {2, 5}, ov::element::f32,
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std::vector<float> {-INFINITY, -4.0f, -3.0f, -2.0f, -1.0f, 0.0f, 1.0f, 2.0f, 3.0f, INFINITY}),
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ErfParams(ov::PartialShape {2, 5}, ov::element::f16,
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std::vector<float16> {-INFINITY, -4.0f, -3.0f, -2.0f, -1.0f, 0.0f, 1.0f, 2.0f, 3.0f, INFINITY}),
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ErfParams(ov::PartialShape {2, 3}, ov::element::i32,
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std::vector<int32_t> {std::numeric_limits<int32_t>::min(), -2, -1, 1, 2, std::numeric_limits<int32_t>::max()}),
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ErfParams(ov::PartialShape {2, 3}, ov::element::u32,
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std::vector<uint32_t> {std::numeric_limits<uint32_t>::min(), 0, 1, 2, 3, std::numeric_limits<uint32_t>::max()}),
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ErfParams(ov::PartialShape {2, 3}, ov::element::i64,
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std::vector<int64_t> {std::numeric_limits<int64_t>::min(), -2, -1, 1, 2, std::numeric_limits<int64_t>::max()}),
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ErfParams(ov::PartialShape {2, 3}, ov::element::u64,
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std::vector<uint64_t> {std::numeric_limits<uint64_t>::min(), 0, 1, 2, 3, std::numeric_limits<uint64_t>::max()})),
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ReferenceErfLayerTest::getTestCaseName);
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