Apply Maxim's comments
This commit is contained in:
Efode, Irina
parent
230a1298b8
commit
75440ce241
@ -25,9 +25,9 @@ std::vector<std::vector<ov::Shape>> inShapesStatic = {
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{{1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1}},
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};
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std::vector<ov::test::InputShapes> inShapesDynamic = {
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{{{ngraph::Dimension(1, 10), 200}, {ngraph::Dimension(1, 10), 200}},
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{{{2, 200}, {2, 200}}, {{1, 200}, {5, 200}}}},
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std::vector<std::vector<ov::test::InputShape>> inShapesDynamic = {
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{{{ngraph::Dimension(1, 10), 200}, {{2, 200}, {1, 200}}}},
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{{{ngraph::Dimension(1, 10), 200}, {{2, 200}, {5, 200}}}},
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};
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std::vector<ov::test::ElementType> netPrecisions = {
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@ -34,7 +34,7 @@ const std::vector<size_t> axis2D = {
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const auto params2D_static = testing::Combine(
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testing::ValuesIn(netPrecisions),
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testing::ValuesIn(ov::test::static_shapes_to_test_representation(inputStaticShape2D)),
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testing::ValuesIn(ov::test::static_shapes_to_test_representation({inputStaticShape2D})),
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testing::ValuesIn(axis2D),
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testing::Values(CommonTestUtils::DEVICE_CPU),
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testing::Values(std::map<std::string, std::string>())
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@ -78,7 +78,7 @@ const std::vector<size_t> axis4D = {0, 1, 2, 3};
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const auto params4Dstatic = testing::Combine(
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testing::ValuesIn(netPrecisions),
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testing::ValuesIn(ov::test::static_shapes_to_test_representation(inputStaticShape4D)),
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testing::ValuesIn(ov::test::static_shapes_to_test_representation({inputStaticShape4D})),
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testing::ValuesIn(axis4D),
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testing::Values(CommonTestUtils::DEVICE_CPU),
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testing::Values(std::map<std::string, std::string>())
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@ -1,305 +1,305 @@
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// Copyright (C) 2018-2021 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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//// Copyright (C) 2018-2021 Intel Corporation
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//// SPDX-License-Identifier: Apache-2.0
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////
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//
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#include <tuple>
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#include <string>
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#include <vector>
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#include <memory>
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#include <debug.h>
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#include <shared_test_classes/base/layer_test_utils.hpp>
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#include <ngraph_functions/builders.hpp>
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#include <ie_precision.hpp>
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#include "common_test_utils/common_utils.hpp"
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#include "functional_test_utils/precision_utils.hpp"
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#include "functional_test_utils/skip_tests_config.hpp"
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#include "test_utils/cpu_test_utils.hpp"
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#include "ie_system_conf.h"
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using namespace CPUTestUtils;
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using InferenceEngine::Precision;
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using ngraph::helpers::EltwiseTypes;
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using FuncTestUtils::PrecisionUtils::convertIE2nGraphPrc;
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namespace CPUSubgraphTestsDefinitions {
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typedef std::tuple<
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std::pair<std::vector<ngraph::PartialShape>, std::vector<std::vector<ngraph::Shape>>>, // Input shapes
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ngraph::helpers::InputLayerType, // Secondary input type
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std::vector<InferenceEngine::Precision>, // Input precisions
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std::vector<EltwiseTypes>, // Eltwise operations
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bool, // With quantization
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std::string // Device name
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> EltwiseChainTuple;
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class EltwiseChainTest : public testing::WithParamInterface<EltwiseChainTuple>,
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virtual public LayerTestsUtils::LayerTestsCommon {
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public:
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static std::string getTestCaseName(const testing::TestParamInfo<EltwiseChainTuple> &obj) {
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std::pair<std::vector<ngraph::PartialShape>, std::vector<std::vector<ngraph::Shape>>> inputShapes;
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ngraph::helpers::InputLayerType secondaryInputType;
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std::vector<InferenceEngine::Precision> inputPrecisions;
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std::vector<EltwiseTypes> eltwiseOpTypes;
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bool withQuantization;
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std::string targetName;
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std::tie(inputShapes, secondaryInputType, inputPrecisions, eltwiseOpTypes, withQuantization, targetName) = obj.param;
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std::ostringstream results;
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results << "IS=" << CommonTestUtils::partialShape2str(inputShapes.first) << "_";
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results << "TS=";
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for (const auto& shape : inputShapes.second) {
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results << "(";
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for (const auto& item : shape) {
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results << CommonTestUtils::vec2str(item) << "_";
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}
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results << ")_";
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}
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for (int i = 0; i < inputPrecisions.size(); i++) {
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results << "InPRC" << std::to_string(i) << "=" << inputPrecisions[i].name() << "_";
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}
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for (int i = 0; i < eltwiseOpTypes.size(); i++) {
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results << "Op" << std::to_string(i) << "=" << eltwiseOpTypes[i] << "_";
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}
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results << "secondaryInputType=" << secondaryInputType << "_";
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results << "WithQuant=" << withQuantization << "_";
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results << "targetDevice=" << targetName;
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return results.str();
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}
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InferenceEngine::Blob::Ptr GenerateInput(const InferenceEngine::InputInfo &info) const override {
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return FuncTestUtils::createAndFillBlob(info.getTensorDesc(), 10, 1);
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}
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protected:
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void SetUp() override {
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threshold = 0.1f;
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std::pair<std::vector<ngraph::PartialShape>, std::vector<std::vector<ngraph::Shape>>> inputShapes;
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ngraph::helpers::InputLayerType secondaryInputType;
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std::vector<InferenceEngine::Precision> inputPrecisions;
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std::vector<EltwiseTypes> eltwiseOpTypes;
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bool withQuantization;
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std::tie(inputShapes, secondaryInputType, inputPrecisions, eltwiseOpTypes, withQuantization, targetDevice) = this->GetParam();
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targetStaticShapes = inputShapes.second;
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inputDynamicShapes = inputShapes.first;
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ngraph::ParameterVector ngraphParam;
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std::vector<std::shared_ptr<ngraph::Node>> ngraphInputs;
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if (secondaryInputType == ngraph::helpers::InputLayerType::PARAMETER) {
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for (size_t i = 0; i < targetStaticShapes[0].size(); i++) {
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ngraphParam.push_back(std::make_shared<ngraph::opset1::Parameter>(convertIE2nGraphPrc(inputPrecisions[i]), targetStaticShapes[0][i]));
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ngraphInputs.push_back(ngraphParam.back());
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}
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} else {
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ngraphParam = ngraph::builder::makeParams(convertIE2nGraphPrc(inputPrecisions[0]), {targetStaticShapes[0][0]});
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for (int i = 1; i < inputPrecisions.size(); i++) {
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std::vector<float> ngraphInput1Data(ngraph::shape_size(targetStaticShapes[0][i]));
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ngraphInputs.push_back(ngraph::builder::makeConstant(convertIE2nGraphPrc(inputPrecisions[i]), targetStaticShapes[0][i],
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ngraphInput1Data, true));
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}
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}
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if (withQuantization) {
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std::vector<std::shared_ptr<ngraph::Node>> eltwiseOps;
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eltwiseOps.push_back(ngraph::builder::makeEltwise(ngraphParam[0], ngraphInputs[0], eltwiseOpTypes[0]));
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for (int i = 1; i < eltwiseOpTypes.size() - 1; i++) {
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eltwiseOps.push_back(ngraph::builder::makeEltwise(eltwiseOps[eltwiseOps.size() - 1], ngraphInputs[i], eltwiseOpTypes[i]));
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}
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std::vector<size_t> constShape(targetStaticShapes[0][0].size(), 1);
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constShape[1] = targetStaticShapes[0][0][1];
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auto fq = ngraph::builder::makeFakeQuantize(eltwiseOps[eltwiseOps.size() - 1],
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::ngraph::element::Type(::ngraph::element::Type_t::f32),
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256, constShape);
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eltwiseOps.push_back(ngraph::builder::makeEltwise(fq, ngraphInputs[eltwiseOpTypes.size() - 1], eltwiseOpTypes[eltwiseOpTypes.size() - 1]));
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ngraph::ResultVector results{std::make_shared<ngraph::opset1::Result>(eltwiseOps[eltwiseOps.size() - 1])};
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function = std::make_shared<ngraph::Function>(results, ngraphParam, "eltwise_chain_fq");
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} else {
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std::vector<std::shared_ptr<ngraph::Node>> eltwiseOps;
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eltwiseOps.push_back(ngraph::builder::makeEltwise(ngraphParam[0], ngraphInputs[0], eltwiseOpTypes[0]));
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for (int i = 1; i < eltwiseOpTypes.size(); i++) {
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eltwiseOps.push_back(ngraph::builder::makeEltwise(eltwiseOps[eltwiseOps.size() - 1], ngraphInputs[i], eltwiseOpTypes[i]));
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}
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ngraph::ResultVector results{std::make_shared<ngraph::opset1::Result>(eltwiseOps[eltwiseOps.size() - 1])};
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function = std::make_shared<ngraph::Function>(results, ngraphParam, "eltwise_chain");
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}
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}
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};
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TEST_P(EltwiseChainTest, CompareWithRefs) {
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SKIP_IF_CURRENT_TEST_IS_DISABLED()
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Run();
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}
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namespace {
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std::vector<std::pair<std::vector<ngraph::PartialShape>, std::vector<std::vector<ngraph::Shape>>>> inputShapes = {
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{ {}, {{{1, 1, 2, 3}, {1, 1, 2, 3}, {1, 1, 2, 3}, {1, 1, 2, 3}}}},
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{ {}, {{{1, 48, 5, 6}, {1, 48, 1, 1}, {1, 48, 5, 6}, {1, 1, 5, 6}}}},
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{ {}, {{{1, 72, 28, 28}, {1, 72, 1, 1}, {1, 72, 1, 1}, {1, 72, 1, 1}}}},
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{ {}, {{{2, 33, 5, 5}, {2, 33, 5, 5}, {2, 33, 1, 5}, {2, 33, 5, 5}}}},
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{ {}, {{{1, 2, 3}, {3}, {3}, {3}}}},
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{ {}, {{{1, 12, 5, 5}, {5, 5}, {12, 5, 5}, {1}}}},
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{ {}, {{{3, 12, 5, 5}, {1, 12, 5, 1}, {3, 1, 1, 1}, {3, 12, 5, 5}}}},
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{ {}, {{{1, 1, 1, 1}, {1, 12, 5, 1}, {3, 12, 1, 5}, {3, 12, 5, 1}}}},
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{ {}, {{{1, 1, 1, 1, 6}, {1, 12, 5, 1, 6}, {3, 12, 1, 5, 1}, {3, 12, 5, 1, 1}}}}
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};
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std::vector<std::vector<InferenceEngine::Precision>> inputPrecisions = {
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{ Precision::FP32, Precision::FP32, Precision::FP32, Precision::FP32 },
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{ Precision::I32, Precision::I32, Precision::I32, Precision::I32 }
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};
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std::vector<std::vector<EltwiseTypes>> eltwiseOps = {
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{ EltwiseTypes::ADD, EltwiseTypes::MULTIPLY, EltwiseTypes::SUBTRACT },
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{ EltwiseTypes::DIVIDE, EltwiseTypes::SQUARED_DIFF, EltwiseTypes::ADD },
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};
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INSTANTIATE_TEST_SUITE_P(smoke_EltwiseChain, EltwiseChainTest,
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::testing::Combine(
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::testing::ValuesIn(inputShapes),
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::testing::Values(ngraph::helpers::InputLayerType::CONSTANT),
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::testing::ValuesIn(inputPrecisions),
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::testing::ValuesIn(eltwiseOps),
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::testing::Values(false),
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::testing::Values(CommonTestUtils::DEVICE_CPU)),
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EltwiseChainTest::getTestCaseName);
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std::vector<std::pair<std::vector<ngraph::PartialShape>, std::vector<std::vector<ngraph::Shape>>>> inputShapesFQ = {
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{ {}, {{{1, 2, 2, 3}, {1, 2, 2, 3}, {1, 2, 2, 3}, {1, 2, 2, 3}}}},
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{ {}, {{{2, 33, 5, 5}, {2, 33, 5, 5}, {2, 33, 1, 5}, {2, 33, 5, 5}}}},
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{ {}, {{{2, 33, 5, 17}, {2, 33, 5, 17}, {2, 33, 5, 17}, {2, 33, 5, 17}}}},
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{ {}, {{{2, 33, 5, 256}, {2, 33, 5, 256}, {2, 33, 5, 256}, {2, 33, 5, 256}}}},
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{ {}, {{{2, 5, 7, 5}, {2, 5, 1, 5}, {2, 5, 7, 5}, {2, 5, 7, 5}}}},
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{ {}, {{{2, 17, 7, 5}, {2, 17, 7, 5}, {2, 17, 7, 5}, {2, 17, 7, 5}}}},
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{ {}, {{{2, 256, 7, 5}, {2, 256, 7, 5}, {2, 256, 1, 5}, {2, 256, 7, 5}}}},
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{ {}, {{{1, 36, 34, 34}, {1, 36, 34, 34}, {1, 36, 34, 34}, {1, 36, 34, 34}}}},
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{ {}, {{{1, 12, 1, 1, 6}, {1, 12, 5, 1, 6}, {3, 12, 1, 5, 1}, {3, 12, 5, 1, 1}}}},
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{ {}, {{{1, 12, 1, 1, 6}, {1, 12, 5, 5, 6}, {3, 12, 1, 5, 1}, {3, 12, 5, 5, 1}}}},
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{ {}, {{{1, 12, 1, 1, 1}, {1, 12, 5, 1, 7}, {3, 12, 1, 5, 7}, {3, 12, 5, 1, 7}}}},
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{ {}, {{{1, 7, 1, 1, 12}, {1, 7, 5, 1, 12}, {3, 7, 1, 5, 12}, {3, 7, 5, 1, 12}}}},
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{ {}, {{{1, 7, 1, 1, 12, 3, 7}, {1, 7, 5, 1, 12, 3, 7}, {3, 7, 1, 5, 12, 3, 7}, {3, 7, 5, 1, 12, 3, 7}}}},
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{ {}, {{{1, 7, 1, 1, 12, 3, 1}, {1, 7, 5, 1, 12, 3, 7}, {3, 7, 1, 5, 12, 1, 7}, {3, 7, 5, 1, 12, 3, 1}}}}
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};
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std::vector<std::vector<InferenceEngine::Precision>> inputPrecisionsFQ {
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{ Precision::FP32, Precision::FP32, Precision::FP32, Precision::FP32 }
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};
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INSTANTIATE_TEST_SUITE_P(smoke_EltwiseChainWithFQ, EltwiseChainTest,
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::testing::Combine(
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::testing::ValuesIn(inputShapesFQ),
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::testing::Values(ngraph::helpers::InputLayerType::CONSTANT),
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::testing::ValuesIn(inputPrecisionsFQ),
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::testing::ValuesIn(eltwiseOps),
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::testing::Values(true),
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::testing::Values(CommonTestUtils::DEVICE_CPU)),
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EltwiseChainTest::getTestCaseName);
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// =============================================== dynamic ==============================================
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std::vector<std::pair<std::vector<ngraph::PartialShape>, std::vector<std::vector<ngraph::Shape>>>> inputShapes_dyn = {
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{
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// dynamic
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{
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{-1, -1, -1},
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{-1},
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{-1},
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{-1}
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},
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// target
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{
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{{1, 2, 3}, {3}, {3}, {3}},
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{{5, 2, 7}, {7}, {1}, {1}},
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{{3, 1, 10}, {1}, {1}, {1}},
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}
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},
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{
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// dynamic
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{
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{-1, -1, -1, -1},
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{-1, -1},
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{-1, -1, -1},
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{-1}
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},
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// target
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{
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{{1, 12, 5, 5}, {5, 5}, {12, 5, 5}, {1}},
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{{5, 16, 1, 5}, {1, 5}, {1, 5, 1}, {1}},
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{{2, 1, 1, 5}, {5, 1}, {16, 5, 5}, {5}},
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}
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},
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{
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// dynamic
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{
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{-1, -1, -1, -1},
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{-1, -1, -1, -1},
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{-1, -1, -1, -1},
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{-1, -1, -1, -1}
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},
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// target
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{
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{{1, 2, 2, 3}, {1, 2, 2, 3}, {1, 2, 2, 3}, {1, 2, 2, 3}},
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{{2, 33, 5, 5}, {2, 33, 5, 5}, {2, 33, 1, 5}, {2, 33, 5, 5}},
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{{2, 33, 5, 17}, {2, 33, 5, 17}, {2, 33, 5, 17}, {2, 33, 5, 17}},
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{{2, 33, 5, 256}, {2, 33, 5, 256}, {2, 33, 5, 256}, {2, 33, 5, 256}},
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{{2, 5, 7, 5}, {2, 5, 1, 5}, {2, 5, 7, 5}, {2, 5, 7, 5}},
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{{2, 17, 7, 5}, {2, 17, 7, 5}, {2, 17, 7, 5}, {2, 17, 7, 5}},
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{{2, 256, 7, 5}, {2, 256, 7, 5}, {2, 256, 1, 5}, {2, 256, 7, 5}},
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{{1, 36, 34, 34}, {1, 36, 34, 34}, {1, 36, 34, 34}, {1, 36, 34, 34}}
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}
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},
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{
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// dynamic
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{
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{-1, -1, -1, -1, -1},
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{-1, -1, -1, -1, -1},
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{-1, -1, -1, -1, -1},
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{-1, -1, -1, -1, -1}
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},
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// target
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{
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{{1, 12, 1, 1, 6}, {1, 12, 5, 1, 6}, {3, 12, 1, 5, 1}, {3, 12, 5, 1, 1}},
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{{1, 12, 1, 1, 6}, {1, 12, 5, 5, 6}, {3, 12, 1, 5, 1}, {3, 12, 5, 5, 1}},
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{{1, 12, 1, 1, 1}, {1, 12, 5, 1, 7}, {3, 12, 1, 5, 7}, {3, 12, 5, 1, 7}},
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{{1, 7, 1, 1, 12}, {1, 7, 5, 1, 12}, {3, 7, 1, 5, 12}, {3, 7, 5, 1, 12}}
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}
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},
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{
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// dynamic
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{
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{-1, -1, -1, -1, -1,
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-1, -1},
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{-1, -1, -1, -1, -1,
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-1, -1},
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{-1, -1, -1, -1, -1,
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-1, -1},
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{-1, -1, -1, -1, -1,
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-1, -1}
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},
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// target
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{
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{{1, 7, 1, 1, 12, 3, 7}, {1, 7, 5, 1, 12, 3, 7}, {3, 7, 1, 5, 12, 3, 7}, {3, 7, 5, 1, 12, 3, 7}},
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{{1, 7, 1, 1, 12, 3, 1}, {1, 7, 5, 1, 12, 3, 7}, {3, 7, 1, 5, 12, 1, 7}, {3, 7, 5, 1, 12, 3, 1}},
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{{5, 7, 1, 2, 12, 1, 8}, {1, 7, 5, 1, 12, 3, 8}, {5, 1, 1, 2, 12, 1, 8}, {1, 7, 5, 1, 12, 3, 1}}
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}
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}
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};
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INSTANTIATE_TEST_SUITE_P(smoke_EltwiseChain_dyn, EltwiseChainTest,
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::testing::Combine(
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::testing::ValuesIn(inputShapes_dyn),
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::testing::Values(ngraph::helpers::InputLayerType::PARAMETER),
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::testing::ValuesIn(inputPrecisions),
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::testing::ValuesIn(eltwiseOps),
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::testing::Values(false),
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::testing::Values(CommonTestUtils::DEVICE_CPU)),
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EltwiseChainTest::getTestCaseName);
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} // namespace
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} // namespace CPUSubgraphTestsDefinitions
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//#include <tuple>
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//#include <string>
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//#include <vector>
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//#include <memory>
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//#include <debug.h>
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//#include <shared_test_classes/base/layer_test_utils.hpp>
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//#include <ngraph_functions/builders.hpp>
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//#include <ie_precision.hpp>
|
||||
//#include "common_test_utils/common_utils.hpp"
|
||||
//#include "functional_test_utils/precision_utils.hpp"
|
||||
//#include "functional_test_utils/skip_tests_config.hpp"
|
||||
//#include "test_utils/cpu_test_utils.hpp"
|
||||
//#include "ie_system_conf.h"
|
||||
//
|
||||
//using namespace CPUTestUtils;
|
||||
//using InferenceEngine::Precision;
|
||||
//using ngraph::helpers::EltwiseTypes;
|
||||
//using FuncTestUtils::PrecisionUtils::convertIE2nGraphPrc;
|
||||
//
|
||||
//namespace CPUSubgraphTestsDefinitions {
|
||||
//
|
||||
//typedef std::tuple<
|
||||
// std::pair<std::vector<ngraph::PartialShape>, std::vector<std::vector<ngraph::Shape>>>, // Input shapes
|
||||
// ngraph::helpers::InputLayerType, // Secondary input type
|
||||
// std::vector<InferenceEngine::Precision>, // Input precisions
|
||||
// std::vector<EltwiseTypes>, // Eltwise operations
|
||||
// bool, // With quantization
|
||||
// std::string // Device name
|
||||
//> EltwiseChainTuple;
|
||||
//
|
||||
//class EltwiseChainTest : public testing::WithParamInterface<EltwiseChainTuple>,
|
||||
// virtual public LayerTestsUtils::LayerTestsCommon {
|
||||
//public:
|
||||
// static std::string getTestCaseName(const testing::TestParamInfo<EltwiseChainTuple> &obj) {
|
||||
// std::pair<std::vector<ngraph::PartialShape>, std::vector<std::vector<ngraph::Shape>>> inputShapes;
|
||||
// ngraph::helpers::InputLayerType secondaryInputType;
|
||||
// std::vector<InferenceEngine::Precision> inputPrecisions;
|
||||
// std::vector<EltwiseTypes> eltwiseOpTypes;
|
||||
// bool withQuantization;
|
||||
// std::string targetName;
|
||||
// std::tie(inputShapes, secondaryInputType, inputPrecisions, eltwiseOpTypes, withQuantization, targetName) = obj.param;
|
||||
// std::ostringstream results;
|
||||
//
|
||||
// results << "IS=" << CommonTestUtils::partialShape2str(inputShapes.first) << "_";
|
||||
// results << "TS=";
|
||||
// for (const auto& shape : inputShapes.second) {
|
||||
// results << "(";
|
||||
// for (const auto& item : shape) {
|
||||
// results << CommonTestUtils::vec2str(item) << "_";
|
||||
// }
|
||||
// results << ")_";
|
||||
// }
|
||||
// for (int i = 0; i < inputPrecisions.size(); i++) {
|
||||
// results << "InPRC" << std::to_string(i) << "=" << inputPrecisions[i].name() << "_";
|
||||
// }
|
||||
// for (int i = 0; i < eltwiseOpTypes.size(); i++) {
|
||||
// results << "Op" << std::to_string(i) << "=" << eltwiseOpTypes[i] << "_";
|
||||
// }
|
||||
// results << "secondaryInputType=" << secondaryInputType << "_";
|
||||
// results << "WithQuant=" << withQuantization << "_";
|
||||
// results << "targetDevice=" << targetName;
|
||||
//
|
||||
// return results.str();
|
||||
// }
|
||||
//
|
||||
// InferenceEngine::Blob::Ptr GenerateInput(const InferenceEngine::InputInfo &info) const override {
|
||||
// return FuncTestUtils::createAndFillBlob(info.getTensorDesc(), 10, 1);
|
||||
// }
|
||||
//
|
||||
//protected:
|
||||
// void SetUp() override {
|
||||
// threshold = 0.1f;
|
||||
//
|
||||
// std::pair<std::vector<ngraph::PartialShape>, std::vector<std::vector<ngraph::Shape>>> inputShapes;
|
||||
// ngraph::helpers::InputLayerType secondaryInputType;
|
||||
// std::vector<InferenceEngine::Precision> inputPrecisions;
|
||||
// std::vector<EltwiseTypes> eltwiseOpTypes;
|
||||
// bool withQuantization;
|
||||
// std::tie(inputShapes, secondaryInputType, inputPrecisions, eltwiseOpTypes, withQuantization, targetDevice) = this->GetParam();
|
||||
//
|
||||
// targetStaticShapes = inputShapes.second;
|
||||
// inputDynamicShapes = inputShapes.first;
|
||||
//
|
||||
// ngraph::ParameterVector ngraphParam;
|
||||
// std::vector<std::shared_ptr<ngraph::Node>> ngraphInputs;
|
||||
// if (secondaryInputType == ngraph::helpers::InputLayerType::PARAMETER) {
|
||||
// for (size_t i = 0; i < targetStaticShapes[0].size(); i++) {
|
||||
// ngraphParam.push_back(std::make_shared<ngraph::opset1::Parameter>(convertIE2nGraphPrc(inputPrecisions[i]), targetStaticShapes[0][i]));
|
||||
// ngraphInputs.push_back(ngraphParam.back());
|
||||
// }
|
||||
// } else {
|
||||
// ngraphParam = ngraph::builder::makeParams(convertIE2nGraphPrc(inputPrecisions[0]), {targetStaticShapes[0][0]});
|
||||
// for (int i = 1; i < inputPrecisions.size(); i++) {
|
||||
// std::vector<float> ngraphInput1Data(ngraph::shape_size(targetStaticShapes[0][i]));
|
||||
// ngraphInputs.push_back(ngraph::builder::makeConstant(convertIE2nGraphPrc(inputPrecisions[i]), targetStaticShapes[0][i],
|
||||
// ngraphInput1Data, true));
|
||||
// }
|
||||
// }
|
||||
//
|
||||
// if (withQuantization) {
|
||||
// std::vector<std::shared_ptr<ngraph::Node>> eltwiseOps;
|
||||
// eltwiseOps.push_back(ngraph::builder::makeEltwise(ngraphParam[0], ngraphInputs[0], eltwiseOpTypes[0]));
|
||||
// for (int i = 1; i < eltwiseOpTypes.size() - 1; i++) {
|
||||
// eltwiseOps.push_back(ngraph::builder::makeEltwise(eltwiseOps[eltwiseOps.size() - 1], ngraphInputs[i], eltwiseOpTypes[i]));
|
||||
// }
|
||||
//
|
||||
// std::vector<size_t> constShape(targetStaticShapes[0][0].size(), 1);
|
||||
// constShape[1] = targetStaticShapes[0][0][1];
|
||||
// auto fq = ngraph::builder::makeFakeQuantize(eltwiseOps[eltwiseOps.size() - 1],
|
||||
// ::ngraph::element::Type(::ngraph::element::Type_t::f32),
|
||||
// 256, constShape);
|
||||
//
|
||||
// eltwiseOps.push_back(ngraph::builder::makeEltwise(fq, ngraphInputs[eltwiseOpTypes.size() - 1], eltwiseOpTypes[eltwiseOpTypes.size() - 1]));
|
||||
//
|
||||
// ngraph::ResultVector results{std::make_shared<ngraph::opset1::Result>(eltwiseOps[eltwiseOps.size() - 1])};
|
||||
// function = std::make_shared<ngraph::Function>(results, ngraphParam, "eltwise_chain_fq");
|
||||
// } else {
|
||||
// std::vector<std::shared_ptr<ngraph::Node>> eltwiseOps;
|
||||
// eltwiseOps.push_back(ngraph::builder::makeEltwise(ngraphParam[0], ngraphInputs[0], eltwiseOpTypes[0]));
|
||||
// for (int i = 1; i < eltwiseOpTypes.size(); i++) {
|
||||
// eltwiseOps.push_back(ngraph::builder::makeEltwise(eltwiseOps[eltwiseOps.size() - 1], ngraphInputs[i], eltwiseOpTypes[i]));
|
||||
// }
|
||||
//
|
||||
// ngraph::ResultVector results{std::make_shared<ngraph::opset1::Result>(eltwiseOps[eltwiseOps.size() - 1])};
|
||||
// function = std::make_shared<ngraph::Function>(results, ngraphParam, "eltwise_chain");
|
||||
// }
|
||||
// }
|
||||
//};
|
||||
//
|
||||
//TEST_P(EltwiseChainTest, CompareWithRefs) {
|
||||
// SKIP_IF_CURRENT_TEST_IS_DISABLED()
|
||||
//
|
||||
// Run();
|
||||
//}
|
||||
//
|
||||
//namespace {
|
||||
//
|
||||
//std::vector<std::pair<std::vector<ngraph::PartialShape>, std::vector<std::vector<ngraph::Shape>>>> inputShapes = {
|
||||
// { {}, {{{1, 1, 2, 3}, {1, 1, 2, 3}, {1, 1, 2, 3}, {1, 1, 2, 3}}}},
|
||||
// { {}, {{{1, 48, 5, 6}, {1, 48, 1, 1}, {1, 48, 5, 6}, {1, 1, 5, 6}}}},
|
||||
// { {}, {{{1, 72, 28, 28}, {1, 72, 1, 1}, {1, 72, 1, 1}, {1, 72, 1, 1}}}},
|
||||
// { {}, {{{2, 33, 5, 5}, {2, 33, 5, 5}, {2, 33, 1, 5}, {2, 33, 5, 5}}}},
|
||||
// { {}, {{{1, 2, 3}, {3}, {3}, {3}}}},
|
||||
// { {}, {{{1, 12, 5, 5}, {5, 5}, {12, 5, 5}, {1}}}},
|
||||
// { {}, {{{3, 12, 5, 5}, {1, 12, 5, 1}, {3, 1, 1, 1}, {3, 12, 5, 5}}}},
|
||||
// { {}, {{{1, 1, 1, 1}, {1, 12, 5, 1}, {3, 12, 1, 5}, {3, 12, 5, 1}}}},
|
||||
// { {}, {{{1, 1, 1, 1, 6}, {1, 12, 5, 1, 6}, {3, 12, 1, 5, 1}, {3, 12, 5, 1, 1}}}}
|
||||
//};
|
||||
//
|
||||
//std::vector<std::vector<InferenceEngine::Precision>> inputPrecisions = {
|
||||
// { Precision::FP32, Precision::FP32, Precision::FP32, Precision::FP32 },
|
||||
// { Precision::I32, Precision::I32, Precision::I32, Precision::I32 }
|
||||
//};
|
||||
//
|
||||
//std::vector<std::vector<EltwiseTypes>> eltwiseOps = {
|
||||
// { EltwiseTypes::ADD, EltwiseTypes::MULTIPLY, EltwiseTypes::SUBTRACT },
|
||||
// { EltwiseTypes::DIVIDE, EltwiseTypes::SQUARED_DIFF, EltwiseTypes::ADD },
|
||||
//};
|
||||
//
|
||||
//INSTANTIATE_TEST_SUITE_P(smoke_EltwiseChain, EltwiseChainTest,
|
||||
// ::testing::Combine(
|
||||
// ::testing::ValuesIn(inputShapes),
|
||||
// ::testing::Values(ngraph::helpers::InputLayerType::CONSTANT),
|
||||
// ::testing::ValuesIn(inputPrecisions),
|
||||
// ::testing::ValuesIn(eltwiseOps),
|
||||
// ::testing::Values(false),
|
||||
// ::testing::Values(CommonTestUtils::DEVICE_CPU)),
|
||||
// EltwiseChainTest::getTestCaseName);
|
||||
//
|
||||
//std::vector<std::pair<std::vector<ngraph::PartialShape>, std::vector<std::vector<ngraph::Shape>>>> inputShapesFQ = {
|
||||
// { {}, {{{1, 2, 2, 3}, {1, 2, 2, 3}, {1, 2, 2, 3}, {1, 2, 2, 3}}}},
|
||||
// { {}, {{{2, 33, 5, 5}, {2, 33, 5, 5}, {2, 33, 1, 5}, {2, 33, 5, 5}}}},
|
||||
// { {}, {{{2, 33, 5, 17}, {2, 33, 5, 17}, {2, 33, 5, 17}, {2, 33, 5, 17}}}},
|
||||
// { {}, {{{2, 33, 5, 256}, {2, 33, 5, 256}, {2, 33, 5, 256}, {2, 33, 5, 256}}}},
|
||||
// { {}, {{{2, 5, 7, 5}, {2, 5, 1, 5}, {2, 5, 7, 5}, {2, 5, 7, 5}}}},
|
||||
// { {}, {{{2, 17, 7, 5}, {2, 17, 7, 5}, {2, 17, 7, 5}, {2, 17, 7, 5}}}},
|
||||
// { {}, {{{2, 256, 7, 5}, {2, 256, 7, 5}, {2, 256, 1, 5}, {2, 256, 7, 5}}}},
|
||||
// { {}, {{{1, 36, 34, 34}, {1, 36, 34, 34}, {1, 36, 34, 34}, {1, 36, 34, 34}}}},
|
||||
// { {}, {{{1, 12, 1, 1, 6}, {1, 12, 5, 1, 6}, {3, 12, 1, 5, 1}, {3, 12, 5, 1, 1}}}},
|
||||
// { {}, {{{1, 12, 1, 1, 6}, {1, 12, 5, 5, 6}, {3, 12, 1, 5, 1}, {3, 12, 5, 5, 1}}}},
|
||||
// { {}, {{{1, 12, 1, 1, 1}, {1, 12, 5, 1, 7}, {3, 12, 1, 5, 7}, {3, 12, 5, 1, 7}}}},
|
||||
// { {}, {{{1, 7, 1, 1, 12}, {1, 7, 5, 1, 12}, {3, 7, 1, 5, 12}, {3, 7, 5, 1, 12}}}},
|
||||
// { {}, {{{1, 7, 1, 1, 12, 3, 7}, {1, 7, 5, 1, 12, 3, 7}, {3, 7, 1, 5, 12, 3, 7}, {3, 7, 5, 1, 12, 3, 7}}}},
|
||||
// { {}, {{{1, 7, 1, 1, 12, 3, 1}, {1, 7, 5, 1, 12, 3, 7}, {3, 7, 1, 5, 12, 1, 7}, {3, 7, 5, 1, 12, 3, 1}}}}
|
||||
//};
|
||||
//
|
||||
//std::vector<std::vector<InferenceEngine::Precision>> inputPrecisionsFQ {
|
||||
// { Precision::FP32, Precision::FP32, Precision::FP32, Precision::FP32 }
|
||||
//};
|
||||
//
|
||||
//INSTANTIATE_TEST_SUITE_P(smoke_EltwiseChainWithFQ, EltwiseChainTest,
|
||||
// ::testing::Combine(
|
||||
// ::testing::ValuesIn(inputShapesFQ),
|
||||
// ::testing::Values(ngraph::helpers::InputLayerType::CONSTANT),
|
||||
// ::testing::ValuesIn(inputPrecisionsFQ),
|
||||
// ::testing::ValuesIn(eltwiseOps),
|
||||
// ::testing::Values(true),
|
||||
// ::testing::Values(CommonTestUtils::DEVICE_CPU)),
|
||||
// EltwiseChainTest::getTestCaseName);
|
||||
//
|
||||
//// =============================================== dynamic ==============================================
|
||||
//std::vector<std::pair<std::vector<ngraph::PartialShape>, std::vector<std::vector<ngraph::Shape>>>> inputShapes_dyn = {
|
||||
// {
|
||||
// // dynamic
|
||||
// {
|
||||
// {-1, -1, -1},
|
||||
// {-1},
|
||||
// {-1},
|
||||
// {-1}
|
||||
// },
|
||||
// // target
|
||||
// {
|
||||
// {{1, 2, 3}, {3}, {3}, {3}},
|
||||
// {{5, 2, 7}, {7}, {1}, {1}},
|
||||
// {{3, 1, 10}, {1}, {1}, {1}},
|
||||
// }
|
||||
// },
|
||||
// {
|
||||
// // dynamic
|
||||
// {
|
||||
// {-1, -1, -1, -1},
|
||||
// {-1, -1},
|
||||
// {-1, -1, -1},
|
||||
// {-1}
|
||||
// },
|
||||
// // target
|
||||
// {
|
||||
// {{1, 12, 5, 5}, {5, 5}, {12, 5, 5}, {1}},
|
||||
// {{5, 16, 1, 5}, {1, 5}, {1, 5, 1}, {1}},
|
||||
// {{2, 1, 1, 5}, {5, 1}, {16, 5, 5}, {5}},
|
||||
// }
|
||||
// },
|
||||
// {
|
||||
// // dynamic
|
||||
// {
|
||||
// {-1, -1, -1, -1},
|
||||
// {-1, -1, -1, -1},
|
||||
// {-1, -1, -1, -1},
|
||||
// {-1, -1, -1, -1}
|
||||
// },
|
||||
// // target
|
||||
// {
|
||||
// {{1, 2, 2, 3}, {1, 2, 2, 3}, {1, 2, 2, 3}, {1, 2, 2, 3}},
|
||||
// {{2, 33, 5, 5}, {2, 33, 5, 5}, {2, 33, 1, 5}, {2, 33, 5, 5}},
|
||||
// {{2, 33, 5, 17}, {2, 33, 5, 17}, {2, 33, 5, 17}, {2, 33, 5, 17}},
|
||||
// {{2, 33, 5, 256}, {2, 33, 5, 256}, {2, 33, 5, 256}, {2, 33, 5, 256}},
|
||||
// {{2, 5, 7, 5}, {2, 5, 1, 5}, {2, 5, 7, 5}, {2, 5, 7, 5}},
|
||||
// {{2, 17, 7, 5}, {2, 17, 7, 5}, {2, 17, 7, 5}, {2, 17, 7, 5}},
|
||||
// {{2, 256, 7, 5}, {2, 256, 7, 5}, {2, 256, 1, 5}, {2, 256, 7, 5}},
|
||||
// {{1, 36, 34, 34}, {1, 36, 34, 34}, {1, 36, 34, 34}, {1, 36, 34, 34}}
|
||||
// }
|
||||
// },
|
||||
// {
|
||||
// // dynamic
|
||||
// {
|
||||
// {-1, -1, -1, -1, -1},
|
||||
// {-1, -1, -1, -1, -1},
|
||||
// {-1, -1, -1, -1, -1},
|
||||
// {-1, -1, -1, -1, -1}
|
||||
// },
|
||||
// // target
|
||||
// {
|
||||
// {{1, 12, 1, 1, 6}, {1, 12, 5, 1, 6}, {3, 12, 1, 5, 1}, {3, 12, 5, 1, 1}},
|
||||
// {{1, 12, 1, 1, 6}, {1, 12, 5, 5, 6}, {3, 12, 1, 5, 1}, {3, 12, 5, 5, 1}},
|
||||
// {{1, 12, 1, 1, 1}, {1, 12, 5, 1, 7}, {3, 12, 1, 5, 7}, {3, 12, 5, 1, 7}},
|
||||
// {{1, 7, 1, 1, 12}, {1, 7, 5, 1, 12}, {3, 7, 1, 5, 12}, {3, 7, 5, 1, 12}}
|
||||
// }
|
||||
// },
|
||||
// {
|
||||
// // dynamic
|
||||
// {
|
||||
// {-1, -1, -1, -1, -1,
|
||||
// -1, -1},
|
||||
// {-1, -1, -1, -1, -1,
|
||||
// -1, -1},
|
||||
// {-1, -1, -1, -1, -1,
|
||||
// -1, -1},
|
||||
// {-1, -1, -1, -1, -1,
|
||||
// -1, -1}
|
||||
// },
|
||||
// // target
|
||||
// {
|
||||
// {{1, 7, 1, 1, 12, 3, 7}, {1, 7, 5, 1, 12, 3, 7}, {3, 7, 1, 5, 12, 3, 7}, {3, 7, 5, 1, 12, 3, 7}},
|
||||
// {{1, 7, 1, 1, 12, 3, 1}, {1, 7, 5, 1, 12, 3, 7}, {3, 7, 1, 5, 12, 1, 7}, {3, 7, 5, 1, 12, 3, 1}},
|
||||
// {{5, 7, 1, 2, 12, 1, 8}, {1, 7, 5, 1, 12, 3, 8}, {5, 1, 1, 2, 12, 1, 8}, {1, 7, 5, 1, 12, 3, 1}}
|
||||
// }
|
||||
// }
|
||||
//};
|
||||
//
|
||||
//INSTANTIATE_TEST_SUITE_P(smoke_EltwiseChain_dyn, EltwiseChainTest,
|
||||
// ::testing::Combine(
|
||||
// ::testing::ValuesIn(inputShapes_dyn),
|
||||
// ::testing::Values(ngraph::helpers::InputLayerType::PARAMETER),
|
||||
// ::testing::ValuesIn(inputPrecisions),
|
||||
// ::testing::ValuesIn(eltwiseOps),
|
||||
// ::testing::Values(false),
|
||||
// ::testing::Values(CommonTestUtils::DEVICE_CPU)),
|
||||
// EltwiseChainTest::getTestCaseName);
|
||||
//
|
||||
//} // namespace
|
||||
//} // namespace CPUSubgraphTestsDefinitions
|
||||
|
||||
@ -14,7 +14,6 @@ namespace ov {
|
||||
namespace test {
|
||||
|
||||
using InputShape = std::pair<ov::PartialShape, std::vector<ov::Shape>>;
|
||||
using InputShapes = std::pair<std::vector<ov::PartialShape>, std::vector<std::vector<ov::Shape>>>;
|
||||
using ElementType = ov::element::Type_t;
|
||||
using Config = std::map<std::string, std::string>;
|
||||
using TargetDevice = std::string;
|
||||
@ -41,10 +40,7 @@ protected:
|
||||
virtual void infer();
|
||||
virtual void validate();
|
||||
|
||||
void init_input_shapes(const InputShapes& shapes);
|
||||
void init_input_shapes(const InputShape& shapes);
|
||||
// void propagate_shape_to_all_inputs(bool proragate_first_shape = true,
|
||||
// const InputShape& targetShape = InputShape());
|
||||
void init_input_shapes(const std::vector<InputShape>& shapes);
|
||||
|
||||
std::shared_ptr<ov::runtime::Core> core = ov::test::utils::PluginCache::get().core();
|
||||
std::string targetDevice;
|
||||
@ -68,28 +64,21 @@ private:
|
||||
std::vector<ov::runtime::Tensor> get_plugin_outputs();
|
||||
};
|
||||
|
||||
//inline std::vector<std::vector<InputShape>> static_shapes_to_test_representation(const std::vector<std::vector<ov::Shape>>& shapes) {
|
||||
// std::vector<std::vector<InputShape>> result;
|
||||
// for (const auto& staticShapes : shapes) {
|
||||
// std::vector<InputShape> tmp;
|
||||
// for (const auto& staticShape : staticShapes) {
|
||||
// tmp.push_back({{}, {staticShape}});
|
||||
// }
|
||||
// result.push_back(tmp);
|
||||
// }
|
||||
// return result;
|
||||
//}
|
||||
inline std::vector<InputShape> static_shapes_to_test_representation(const std::vector<ov::Shape>& staticShapes) {
|
||||
std::vector<InputShape> result;
|
||||
inline std::vector<std::vector<InputShape>> static_shapes_to_test_representation(const std::vector<std::vector<ov::Shape>>& shapes) {
|
||||
std::vector<std::vector<InputShape>> result;
|
||||
for (const auto& staticShapes : shapes) {
|
||||
std::vector<InputShape> tmp;
|
||||
for (const auto& staticShape : staticShapes) {
|
||||
result.push_back({{}, {staticShape}});
|
||||
tmp.push_back({{}, {staticShape}});
|
||||
}
|
||||
result.push_back(tmp);
|
||||
}
|
||||
return result;
|
||||
}
|
||||
|
||||
inline std::vector<InputShapes> static_shapes_to_test_representation(const std::vector<std::vector<ov::Shape>>& staticShapes) {
|
||||
std::vector<InputShapes> result;
|
||||
for (const auto& staticShape : staticShapes) {
|
||||
inline std::vector<InputShape> static_shapes_to_test_representation(const std::vector<ov::Shape>& shapes) {
|
||||
std::vector<InputShape> result;
|
||||
for (const auto& staticShape : shapes) {
|
||||
result.push_back({{}, {staticShape}});
|
||||
}
|
||||
return result;
|
||||
|
||||
@ -12,7 +12,7 @@ namespace test {
|
||||
namespace subgraph {
|
||||
|
||||
typedef std::tuple<
|
||||
InputShapes, // input shapes
|
||||
std::vector<InputShape>, // input shapes
|
||||
ngraph::helpers::EltwiseTypes, // eltwise op type
|
||||
ngraph::helpers::InputLayerType, // secondary input type
|
||||
CommonTestUtils::OpType, // op type
|
||||
|
||||
@ -179,31 +179,21 @@ void SubgraphBaseTest::validate() {
|
||||
compare(expectedOutputs, actualOutputs);
|
||||
}
|
||||
|
||||
void SubgraphBaseTest::init_input_shapes(const InputShapes& shapes) {
|
||||
targetStaticShapes = shapes.second;
|
||||
if (!shapes.first.empty()) {
|
||||
inputDynamicShapes = shapes.first;
|
||||
} else {
|
||||
OPENVINO_ASSERT(targetStaticShapes.size() == 1, "Incorrect size of targetStaticShapes for static scenario");
|
||||
for (const auto& targetStaticShape : targetStaticShapes.front()) {
|
||||
inputDynamicShapes.emplace_back(targetStaticShape);
|
||||
void SubgraphBaseTest::init_input_shapes(const std::vector<InputShape>& shapes) {
|
||||
size_t targetStaticShapeSize = shapes.front().second.size();
|
||||
targetStaticShapes.resize(targetStaticShapeSize);
|
||||
for (const auto& shape : shapes) {
|
||||
auto dynShape = shape.first;
|
||||
if (dynShape.rank() == 0) {
|
||||
ASSERT_EQ(targetStaticShapeSize, 1) << "Incorrect number of static shapes for static case";
|
||||
dynShape = shape.second.front();
|
||||
}
|
||||
inputDynamicShapes.push_back(dynShape);
|
||||
ASSERT_EQ(shape.second.size(), targetStaticShapeSize) << "Target static count shapes should be the same for all inputs";
|
||||
for (size_t i = 0; i < shape.second.size(); ++i) {
|
||||
targetStaticShapes[i].push_back(shape.second.at(i));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
void SubgraphBaseTest::init_input_shapes(const InputShape& shapes) {
|
||||
std::pair<std::vector<ov::PartialShape>, std::vector<std::vector<ov::Shape>>> tmpShapeObj;
|
||||
if (shapes.first.rank() != 0) {
|
||||
tmpShapeObj.first = {shapes.first};
|
||||
for (const auto& staticShape : shapes.second) {
|
||||
tmpShapeObj.second.push_back({staticShape});
|
||||
}
|
||||
} else {
|
||||
tmpShapeObj.first = {};
|
||||
tmpShapeObj.second = {shapes.second};
|
||||
}
|
||||
init_input_shapes(tmpShapeObj);
|
||||
}
|
||||
|
||||
} // namespace test
|
||||
} // namespace ov
|
||||
@ -11,7 +11,7 @@ namespace test {
|
||||
namespace subgraph {
|
||||
|
||||
std::string EltwiseLayerTest::getTestCaseName(const testing::TestParamInfo<EltwiseTestParams>& obj) {
|
||||
std::pair<std::vector<ngraph::PartialShape>, std::vector<std::vector<ngraph::Shape>>> shapes;
|
||||
std::vector<InputShape> shapes;
|
||||
ElementType netType;
|
||||
ngraph::helpers::InputLayerType secondaryInputType;
|
||||
CommonTestUtils::OpType opType;
|
||||
@ -21,16 +21,17 @@ std::string EltwiseLayerTest::getTestCaseName(const testing::TestParamInfo<Eltwi
|
||||
std::tie(shapes, eltwiseOpType, secondaryInputType, opType, netType, targetName, additional_config) = obj.param;
|
||||
std::ostringstream results;
|
||||
|
||||
results << "IS=" << CommonTestUtils::partialShape2str(shapes.first) << "_";
|
||||
results << "TS=";
|
||||
for (const auto& shape : shapes.second) {
|
||||
results << "(";
|
||||
for (const auto& item : shape) {
|
||||
results << "IS=(";
|
||||
for (const auto& shape : shapes) {
|
||||
results << CommonTestUtils::partialShape2str({shape.first}) << "_";
|
||||
}
|
||||
results << ")_TS=(";
|
||||
for (const auto& shape : shapes) {
|
||||
for (const auto& item : shape.second) {
|
||||
results << CommonTestUtils::vec2str(item) << "_";
|
||||
}
|
||||
results << ")_";
|
||||
}
|
||||
results << "eltwiseOpType=" << eltwiseOpType << "_";
|
||||
results << ")_eltwiseOpType=" << eltwiseOpType << "_";
|
||||
results << "secondaryInputType=" << secondaryInputType << "_";
|
||||
results << "opType=" << opType << "_";
|
||||
results << "NetType=" << netType << "_";
|
||||
@ -79,6 +80,9 @@ void EltwiseLayerTest::transformInputShapesAccordingEltwise(const ov::PartialSha
|
||||
}
|
||||
}
|
||||
ASSERT_EQ(inputDynamicShapes.size(), 2) << "Incorrect inputs number!";
|
||||
if (secondInputShape.is_dynamic()) {
|
||||
return;
|
||||
}
|
||||
if (secondInputShape.get_shape() == ov::Shape{1}) {
|
||||
inputDynamicShapes[1] = secondInputShape;
|
||||
for (auto& staticShape : targetStaticShapes) {
|
||||
@ -88,7 +92,7 @@ void EltwiseLayerTest::transformInputShapesAccordingEltwise(const ov::PartialSha
|
||||
}
|
||||
|
||||
void EltwiseLayerTest::SetUp() {
|
||||
InputShapes shapes;
|
||||
std::vector<InputShape> shapes;
|
||||
ElementType netType;
|
||||
ngraph::helpers::InputLayerType secondaryInputType;
|
||||
CommonTestUtils::OpType opType;
|
||||
@ -114,7 +118,7 @@ void EltwiseLayerTest::SetUp() {
|
||||
FAIL() << "Unsupported Secondary operation type";
|
||||
}
|
||||
// To propagate shape_input_secondary just in static case because all shapes are defined in dynamic scenarion
|
||||
if (shape_input_secondary.is_static()) {
|
||||
if (secondaryInputType == ngraph::helpers::InputLayerType::PARAMETER) {
|
||||
transformInputShapesAccordingEltwise(shape_input_secondary);
|
||||
}
|
||||
|
||||
|
||||
@ -39,7 +39,7 @@ void SoftMaxLayerTest::SetUp() {
|
||||
size_t axis;
|
||||
|
||||
std::tie(ngPrc, shapes, axis, targetDevice, configuration) = GetParam();
|
||||
init_input_shapes(shapes);
|
||||
init_input_shapes({shapes});
|
||||
|
||||
const auto params = ngraph::builder::makeDynamicParams(ngPrc, inputDynamicShapes);
|
||||
const auto paramOuts =
|
||||
|
||||
Loading…
Reference in New Issue
Block a user