// // Copyright © 2020 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // #pragma once #include "CommonTestUtils.hpp" #include #include #include #include namespace { armnn::INetworkPtr CreateRankNetwork(const armnn::TensorInfo& inputTensorInfo, const armnn::TensorInfo& outputTensorInfo) { armnn::INetworkPtr network(armnn::INetwork::Create()); armnn::IConnectableLayer* inputLayer = network->AddInputLayer(0, "Input"); armnn::IConnectableLayer* rankLayer = network->AddRankLayer("Rank"); armnn::IConnectableLayer* outputLayer = network->AddOutputLayer(0, "Output"); Connect(inputLayer, rankLayer, inputTensorInfo, 0, 0); Connect(rankLayer, outputLayer, outputTensorInfo, 0, 0); return network; } template> void RankEndToEnd(const std::vector& backends) { using namespace armnn; std::vector floatInputData{ 1, 2, 3, 4, 5, 11, 12, 13, 14, 15, 21, 22, 23, 24, 25 }; std::vector inputData = armnnUtils::QuantizedVector(floatInputData); std::vector expectedOutputData{ 4 }; TensorInfo inputInfo ({ 1, 1, 5, 3 }, ArmnnType); TensorShape outputShape (Dimensionality::Scalar); TensorInfo outputInfo(outputShape, DataType::Signed32); armnn::INetworkPtr network = CreateRankNetwork(inputInfo, outputInfo); CHECK(network); std::map> inputTensorData = {{ 0, inputData }}; std::map> expectedOutputTensorData = {{ 0, expectedOutputData }}; EndToEndLayerTestImpl(move(network), inputTensorData, expectedOutputTensorData, backends); } } // anonymous namespace