Teresa Charlin | 6bc8525 | 2022-12-06 20:43:06 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2022 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include <CommonTestUtils.hpp> |
| 9 | |
| 10 | #include <armnn/INetwork.hpp> |
| 11 | #include <armnn/TypesUtils.hpp> |
| 12 | |
| 13 | #include <ResolveType.hpp> |
| 14 | |
| 15 | #include <doctest/doctest.h> |
| 16 | |
| 17 | namespace |
| 18 | { |
| 19 | |
| 20 | armnn::INetworkPtr CreateTransposeNetwork(const armnn::TensorInfo& inputTensorInfo, |
| 21 | const armnn::TensorInfo& outputTensorInfo, |
| 22 | const armnn::PermutationVector& mappings) |
| 23 | { |
| 24 | armnn::INetworkPtr network(armnn::INetwork::Create()); |
| 25 | |
| 26 | const armnn::TransposeDescriptor transposeDescriptor(mappings); |
| 27 | |
| 28 | armnn::IConnectableLayer* inputLayer = network->AddInputLayer(0, "Input"); |
| 29 | armnn::IConnectableLayer* transposeLayer = network->AddTransposeLayer(transposeDescriptor, "Transpose"); |
| 30 | armnn::IConnectableLayer* outputLayer = network->AddOutputLayer(0, "Output"); |
| 31 | |
| 32 | Connect(inputLayer, transposeLayer, inputTensorInfo, 0, 0); |
| 33 | Connect(transposeLayer, outputLayer, outputTensorInfo, 0, 0); |
| 34 | |
| 35 | return network; |
| 36 | } |
| 37 | |
| 38 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 39 | void TransposeEndToEnd(const std::vector<armnn::BackendId>& backends) |
| 40 | { |
| 41 | using namespace armnn; |
| 42 | |
| 43 | std::vector<float> floatInputData{ |
| 44 | 1, 2, 3, 4, 5, |
| 45 | 11, 12, 13, 14, 15, |
| 46 | 21, 22, 23, 24, 25 |
| 47 | }; |
| 48 | std::vector<T> inputData = armnnUtils::QuantizedVector<T>(floatInputData); |
| 49 | std::vector<T> expectedOutputData = armnnUtils::QuantizedVector<T>(floatInputData); |
| 50 | |
| 51 | const armnn::PermutationVector mappings{0, 2, 1 ,3}; |
| 52 | |
| 53 | TensorInfo inputInfo ({ 1, 1, 5, 3 }, ArmnnType, 0.0f, 0, true); |
| 54 | TensorInfo outputInfo({ 1, 5, 1, 3 }, ArmnnType, 0.0f, 0, true); |
| 55 | |
| 56 | armnn::INetworkPtr network = CreateTransposeNetwork(inputInfo, outputInfo, mappings); |
| 57 | |
| 58 | CHECK(network); |
| 59 | |
| 60 | std::map<int, std::vector<T>> inputTensorData = {{ 0, inputData }}; |
| 61 | std::map<int, std::vector<T>> expectedOutputTensorData = {{ 0, expectedOutputData }}; |
| 62 | |
| 63 | EndToEndLayerTestImpl<ArmnnType, DataType::Signed32>(std::move(network), |
| 64 | inputTensorData, |
| 65 | expectedOutputTensorData, |
| 66 | backends); |
| 67 | } |
| 68 | |
| 69 | } // anonymous namespace |