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* [GNA] Fixed import of model with several intputs * Fixed copyright year
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...onal/plugin/gna/shared_tests_instances/import_export_tests/import_export_multi_inputs.cpp
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// Copyright (C) 2021 Intel Corporation | ||
// SPDX-License-Identifier: Apache-2.0 | ||
// | ||
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#include <vector> | ||
#include <memory> | ||
#include <tuple> | ||
#include <vector> | ||
#include <string> | ||
#include <fstream> | ||
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#include "ngraph_functions/builders.hpp" | ||
#include "base/import_export_base/import_export_base.hpp" | ||
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namespace LayerTestsDefinitions { | ||
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class ImportMultiInput : public FuncTestUtils::ImportNetworkTestBase { | ||
protected: | ||
void SetUp() override { | ||
InferenceEngine::Precision netPrecision; | ||
std::tie(netPrecision, targetDevice, exportConfiguration, importConfiguration, applicationHeader) = this->GetParam(); | ||
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auto ngPrc = FuncTestUtils::PrecisionUtils::convertIE2nGraphPrc(netPrecision); | ||
auto input = ngraph::builder::makeParams(ngPrc, {{1, 10}, {1, 10}}); | ||
auto mul1 = ngraph::builder::makeEltwise(input[0], input[1], ngraph::helpers::EltwiseTypes::ADD); | ||
auto result = std::make_shared<ngraph::opset7::Result>(mul1); | ||
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function = std::make_shared<ngraph::Function>(ngraph::ResultVector{result}, input, "multiple_input"); | ||
} | ||
}; | ||
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class ImportMultiInputChanged : public ImportMultiInput {}; | ||
class ImportMultiInputUnchanged : public ImportMultiInput {}; | ||
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TEST_P(ImportMultiInputUnchanged, CompareWithRefImpl) { | ||
TestRun(false); | ||
}; | ||
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TEST_P(ImportMultiInputChanged, CompareWithRefImpl) { | ||
TestRun(true); | ||
}; | ||
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const std::vector<InferenceEngine::Precision> netPrecisions = { | ||
InferenceEngine::Precision::FP32 | ||
}; | ||
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const std::vector<std::map<std::string, std::string>> exportConfigs = { | ||
{ | ||
{"GNA_DEVICE_MODE", "GNA_SW_EXACT"}, | ||
{"GNA_SCALE_FACTOR_0", "327.67"}, | ||
{"GNA_SCALE_FACTOR_1", "327.67"} | ||
} | ||
}; | ||
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const std::vector<std::map<std::string, std::string>> importConfigsChanged = { | ||
{ | ||
{"GNA_DEVICE_MODE", "GNA_SW_EXACT"}, | ||
{"GNA_SCALE_FACTOR_0", "32767"} | ||
}, | ||
{ | ||
{"GNA_DEVICE_MODE", "GNA_SW_EXACT"}, | ||
{"GNA_SCALE_FACTOR_1", "32767"} | ||
}, | ||
{ | ||
{"GNA_DEVICE_MODE", "GNA_SW_EXACT"}, | ||
{"GNA_SCALE_FACTOR_0", "32767"}, | ||
{"GNA_SCALE_FACTOR_1", "32767"} | ||
}, | ||
{ | ||
{"GNA_DEVICE_MODE", "GNA_SW_EXACT"}, | ||
{"GNA_SCALE_FACTOR_0", "1"}, | ||
{"GNA_SCALE_FACTOR_1", "32767"} | ||
} | ||
}; | ||
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const std::vector<std::map<std::string, std::string>> importConfigsUnchanged = { | ||
{ | ||
{"GNA_DEVICE_MODE", "GNA_SW_EXACT"}, | ||
{"GNA_SCALE_FACTOR_0", "327.67"} | ||
}, | ||
{ | ||
{"GNA_DEVICE_MODE", "GNA_SW_EXACT"}, | ||
{"GNA_SCALE_FACTOR_0", "1"} | ||
}, | ||
{ | ||
{"GNA_DEVICE_MODE", "GNA_SW_EXACT"} | ||
}, | ||
{ | ||
{"GNA_DEVICE_MODE", "GNA_SW_EXACT"}, | ||
{"GNA_SCALE_FACTOR_0", "327.67"}, | ||
{"GNA_SCALE_FACTOR_1", "327.67"} | ||
}, | ||
{ | ||
{"GNA_DEVICE_MODE", "GNA_SW_EXACT"}, | ||
{"GNA_SCALE_FACTOR_1", "327.67"} | ||
}, | ||
}; | ||
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INSTANTIATE_TEST_CASE_P(smoke_ImportNetworkGNA, ImportMultiInputUnchanged, | ||
::testing::Combine( | ||
::testing::ValuesIn(netPrecisions), | ||
::testing::Values(CommonTestUtils::DEVICE_GNA), | ||
::testing::ValuesIn(exportConfigs), | ||
::testing::ValuesIn(importConfigsUnchanged), | ||
::testing::Values("")), | ||
ImportMultiInputUnchanged::getTestCaseName); | ||
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INSTANTIATE_TEST_CASE_P(smoke_ImportNetworkGNA, ImportMultiInputChanged, | ||
::testing::Combine( | ||
::testing::ValuesIn(netPrecisions), | ||
::testing::Values(CommonTestUtils::DEVICE_GNA), | ||
::testing::ValuesIn(exportConfigs), | ||
::testing::ValuesIn(importConfigsChanged), | ||
::testing::Values("")), | ||
ImportMultiInputChanged::getTestCaseName); | ||
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} // namespace LayerTestsDefinitions | ||
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