| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| #pragma once |
| |
| #include "QuantizeHelper.hpp" |
| |
| |
| #include <armnnUtils/Permute.hpp> |
| |
| #include <QuantizeHelper.hpp> |
| #include <ResolveType.hpp> |
| |
| #include <backendsCommon/test/CommonTestUtils.hpp> |
| |
| #include <boost/test/unit_test.hpp> |
| |
| #include <map> |
| #include <vector> |
| |
| namespace |
| { |
| |
| armnn::INetworkPtr CreateResizeNetwork(const armnn::ResizeDescriptor& descriptor, |
| const armnn::TensorInfo& inputInfo, |
| const armnn::TensorInfo& outputInfo) |
| { |
| using namespace armnn; |
| |
| INetworkPtr network(INetwork::Create()); |
| IConnectableLayer* input = network->AddInputLayer(0, "input"); |
| IConnectableLayer* resize = network->AddResizeLayer(descriptor, "resize"); |
| IConnectableLayer* output = network->AddOutputLayer(0, "output"); |
| |
| Connect(input, resize, inputInfo, 0, 0); |
| Connect(resize, output, outputInfo, 0, 0); |
| |
| return network; |
| } |
| |
| template<armnn::DataType ArmnnType> |
| void ResizeEndToEnd(const std::vector<armnn::BackendId>& backends, |
| armnn::DataLayout dataLayout, |
| armnn::ResizeMethod resizeMethod) |
| { |
| using namespace armnn; |
| using T = ResolveType<ArmnnType>; |
| |
| constexpr unsigned int inputWidth = 3u; |
| constexpr unsigned int inputHeight = inputWidth; |
| |
| constexpr unsigned int outputWidth = 5u; |
| constexpr unsigned int outputHeight = outputWidth; |
| |
| TensorShape inputShape = MakeTensorShape(1, 1, inputHeight, inputWidth, dataLayout); |
| TensorShape outputShape = MakeTensorShape(1, 1, outputHeight, outputWidth, dataLayout); |
| |
| const float qScale = IsQuantizedType<T>() ? 0.25f : 1.0f; |
| const int32_t qOffset = IsQuantizedType<T>() ? 50 : 0; |
| |
| TensorInfo inputInfo(inputShape, ArmnnType, qScale, qOffset); |
| TensorInfo outputInfo(outputShape, ArmnnType, qScale, qOffset); |
| |
| std::vector<float> inputData = |
| { |
| 1.f, 2.f, 3.f, |
| 4.f, 5.f, 6.f, |
| 7.f, 8.f, 9.f |
| }; |
| |
| std::vector<float> expectedOutputData; |
| switch(resizeMethod) |
| { |
| case ResizeMethod::Bilinear: |
| { |
| expectedOutputData = |
| { |
| 1.0f, 1.6f, 2.2f, 2.8f, 3.0f, |
| 2.8f, 3.4f, 4.0f, 4.6f, 4.8f, |
| 4.6f, 5.2f, 5.8f, 6.4f, 6.6f, |
| 6.4f, 7.0f, 7.6f, 8.2f, 8.4f, |
| 7.0f, 7.6f, 8.2f, 8.8f, 9.0f |
| }; |
| break; |
| } |
| case ResizeMethod::NearestNeighbor: |
| { |
| expectedOutputData = |
| { |
| 1.f, 1.f, 2.f, 2.f, 3.f, |
| 1.f, 1.f, 2.f, 2.f, 3.f, |
| 4.f, 4.f, 5.f, 5.f, 6.f, |
| 4.f, 4.f, 5.f, 5.f, 6.f, |
| 7.f, 7.f, 8.f, 8.f, 9.f |
| }; |
| break; |
| } |
| default: |
| { |
| throw InvalidArgumentException("Unrecognized resize method"); |
| } |
| } |
| |
| ResizeDescriptor descriptor; |
| descriptor.m_TargetWidth = outputWidth; |
| descriptor.m_TargetHeight = outputHeight; |
| descriptor.m_Method = resizeMethod; |
| descriptor.m_DataLayout = dataLayout; |
| |
| // swizzle data if needed |
| if (dataLayout == armnn::DataLayout::NHWC) |
| { |
| constexpr size_t dataTypeSize = sizeof(float); |
| const armnn::PermutationVector nchwToNhwc = { 0, 3, 1, 2 }; |
| |
| std::vector<float> tmp(inputData.size()); |
| armnnUtils::Permute(inputInfo.GetShape(), nchwToNhwc, inputData.data(), tmp.data(), dataTypeSize); |
| inputData = tmp; |
| } |
| |
| // quantize data |
| std::vector<T> qInputData = armnnUtils::QuantizedVector<T>(inputData, qScale, qOffset); |
| std::vector<T> qExpectedOutputData = armnnUtils::QuantizedVector<T>(expectedOutputData, qScale, qOffset); |
| |
| INetworkPtr network = CreateResizeNetwork(descriptor, inputInfo, outputInfo); |
| |
| EndToEndLayerTestImpl<ArmnnType, ArmnnType>(std::move(network), |
| { { 0, qInputData } }, |
| { { 0, qExpectedOutputData } }, |
| backends); |
| } |
| |
| } // anonymous namespace |
| |
| template<armnn::DataType ArmnnType> |
| void ResizeBilinearEndToEnd(const std::vector<armnn::BackendId>& backends, |
| armnn::DataLayout dataLayout) |
| { |
| ResizeEndToEnd<ArmnnType>(backends, dataLayout, armnn::ResizeMethod::Bilinear); |
| } |
| |
| template<armnn::DataType ArmnnType> |
| void ResizeNearestNeighborEndToEnd(const std::vector<armnn::BackendId>& backends, |
| armnn::DataLayout dataLayout) |
| { |
| ResizeEndToEnd<ArmnnType>(backends, dataLayout, armnn::ResizeMethod::NearestNeighbor); |
| } |