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Diffstat (limited to 'src/backends/backendsCommon/test/TransposeEndToEndTestImpl.hpp')
| -rw-r--r-- | src/backends/backendsCommon/test/TransposeEndToEndTestImpl.hpp | 69 |
1 files changed, 69 insertions, 0 deletions
diff --git a/src/backends/backendsCommon/test/TransposeEndToEndTestImpl.hpp b/src/backends/backendsCommon/test/TransposeEndToEndTestImpl.hpp new file mode 100644 index 0000000000..32e1b0edaf --- /dev/null +++ b/src/backends/backendsCommon/test/TransposeEndToEndTestImpl.hpp @@ -0,0 +1,69 @@ +// +// Copyright © 2022 Arm Ltd and Contributors. All rights reserved. +// SPDX-License-Identifier: MIT +// + +#pragma once + +#include <CommonTestUtils.hpp> + +#include <armnn/INetwork.hpp> +#include <armnn/TypesUtils.hpp> + +#include <ResolveType.hpp> + +#include <doctest/doctest.h> + +namespace +{ + +armnn::INetworkPtr CreateTransposeNetwork(const armnn::TensorInfo& inputTensorInfo, + const armnn::TensorInfo& outputTensorInfo, + const armnn::PermutationVector& mappings) +{ + armnn::INetworkPtr network(armnn::INetwork::Create()); + + const armnn::TransposeDescriptor transposeDescriptor(mappings); + + armnn::IConnectableLayer* inputLayer = network->AddInputLayer(0, "Input"); + armnn::IConnectableLayer* transposeLayer = network->AddTransposeLayer(transposeDescriptor, "Transpose"); + armnn::IConnectableLayer* outputLayer = network->AddOutputLayer(0, "Output"); + + Connect(inputLayer, transposeLayer, inputTensorInfo, 0, 0); + Connect(transposeLayer, outputLayer, outputTensorInfo, 0, 0); + + return network; +} + +template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> +void TransposeEndToEnd(const std::vector<armnn::BackendId>& backends) +{ + using namespace armnn; + + std::vector<float> floatInputData{ + 1, 2, 3, 4, 5, + 11, 12, 13, 14, 15, + 21, 22, 23, 24, 25 + }; + std::vector<T> inputData = armnnUtils::QuantizedVector<T>(floatInputData); + std::vector<T> expectedOutputData = armnnUtils::QuantizedVector<T>(floatInputData); + + const armnn::PermutationVector mappings{0, 2, 1 ,3}; + + TensorInfo inputInfo ({ 1, 1, 5, 3 }, ArmnnType, 0.0f, 0, true); + TensorInfo outputInfo({ 1, 5, 1, 3 }, ArmnnType, 0.0f, 0, true); + + armnn::INetworkPtr network = CreateTransposeNetwork(inputInfo, outputInfo, mappings); + + CHECK(network); + + std::map<int, std::vector<T>> inputTensorData = {{ 0, inputData }}; + std::map<int, std::vector<T>> expectedOutputTensorData = {{ 0, expectedOutputData }}; + + EndToEndLayerTestImpl<ArmnnType, DataType::Signed32>(std::move(network), + inputTensorData, + expectedOutputTensorData, + backends); +} + +} // anonymous namespace
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