* Remove fp16 of Convert layer test from skip_tests.config.cpp as it works now * update repo * create new PR from PR7849 * remove backend tests of activation operations
133 lines
4.6 KiB
C++
133 lines
4.6 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 "openvino/op/swish.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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namespace {
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struct SwishParams {
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template <class IT>
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SwishParams(const ov::PartialShape& shape, const ov::element::Type& iType, const std::vector<IT>& iValues,
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const float beta = 1)
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: pshape(shape),
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inType(iType),
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outType(iType),
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inputData(CreateTensor(iType, iValues)),
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beta(beta) {
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std::vector<IT> oValues;
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std::vector<float> output;
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std::vector<IT> betaVector;
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for (auto element : iValues)
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output.push_back(static_cast<float>(element));
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std::transform(output.begin(), output.end(), output.begin(), [&beta](float x) -> float {
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return (x / (1.0f + std::exp(x * beta * -1.0f)));
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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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betaVector.push_back(static_cast<IT>(beta));
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betaBlob = CreateTensor(inType, betaVector);
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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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ov::runtime::Tensor betaBlob;
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float beta;
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};
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class ReferenceSwishLayerTest : public testing::TestWithParam<SwishParams>, public CommonReferenceTest {
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public:
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void SetUp() override {
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threshold = 0.06; // 0.01 failed in fp32 test
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auto params = GetParam();
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function = CreateFunction(params.pshape, params.inType, params.outType, params.beta);
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if (params.beta != 1) {
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inputData = {params.inputData, params.betaBlob};
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refOutData = {params.refData};
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} else {
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inputData = {params.inputData};
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refOutData = {params.refData};
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}
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}
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static std::string getTestCaseName(const testing::TestParamInfo<SwishParams>& 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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result << "beta=" << param.beta;
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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& Swishected_output_type, const float beta) {
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const auto in = std::make_shared<op::v0::Parameter>(input_type, input_shape);
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if (beta != 1) {
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const auto BETA = std::make_shared<op::v0::Parameter>(input_type, Shape {});
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const auto Swish = std::make_shared<op::v4::Swish>(in, BETA);
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return std::make_shared<Function>(NodeVector {Swish}, ParameterVector {in, BETA});
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} else {
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const auto Swish = std::make_shared<op::v4::Swish>(in);
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return std::make_shared<ov::Function>(NodeVector {Swish}, ParameterVector {in});
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}
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}
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};
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TEST_P(ReferenceSwishLayerTest, CompareWithRefs) {
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Exec();
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}
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template <element::Type_t IN_ET>
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std::vector<SwishParams> generateSwishFloatParams() {
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using T = typename element_type_traits<IN_ET>::value_type;
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std::vector<SwishParams> swishParams {
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SwishParams(ov::PartialShape {2, 4},
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IN_ET,
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std::vector<T>{0.4, -5.7, -6, 3, -0.9, 23, 5, 3.3},
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0.6f),
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SwishParams(ov::PartialShape {2, 3},
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IN_ET,
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std::vector<T>{1, 8, -8, 17, -0.5, -1}),
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SwishParams(ov::PartialShape {2, 2, 1, 2},
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IN_ET,
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std::vector<T>{0.1, 0.6, 20, -7, -5.3, 3.5, -9, 11},
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0.33f)
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};
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return swishParams;
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}
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std::vector<SwishParams> generateSwishCombinedParams() {
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const std::vector<std::vector<SwishParams>> swishTypeParams {
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generateSwishFloatParams<element::Type_t::f32>(),
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generateSwishFloatParams<element::Type_t::f16>()
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};
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std::vector<SwishParams> combinedParams;
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for (const auto& params : swishTypeParams) {
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combinedParams.insert(combinedParams.end(), params.begin(), params.end());
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}
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return combinedParams;
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}
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INSTANTIATE_TEST_SUITE_P(smoke_Swish_With_Hardcoded_Refs, ReferenceSwishLayerTest,
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testing::ValuesIn(generateSwishCombinedParams()), ReferenceSwishLayerTest::getTestCaseName);
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} // namespace
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