Aron Virginas-Tar | 3b278e9 | 2018-10-12 13:00:55 +0100 | [diff] [blame^] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | #pragma once |
| 6 | |
| 7 | #include "LayerTests.hpp" |
| 8 | #include "TensorCopyUtils.hpp" |
| 9 | #include "WorkloadTestUtils.hpp" |
| 10 | |
| 11 | #include <armnn/test/TensorHelpers.hpp> |
| 12 | |
| 13 | #include <boost/multi_array.hpp> |
| 14 | |
| 15 | namespace |
| 16 | { |
| 17 | |
| 18 | LayerTestResult<float, 4> MemCopyTest(armnn::IWorkloadFactory& srcWorkloadFactory, |
| 19 | armnn::IWorkloadFactory& dstWorkloadFactory, |
| 20 | bool withSubtensors) |
| 21 | { |
| 22 | const std::array<unsigned int, 4> shapeData = { { 1u, 1u, 6u, 5u } }; |
| 23 | const armnn::TensorShape tensorShape(4, shapeData.data()); |
| 24 | const armnn::TensorInfo tensorInfo(tensorShape, armnn::DataType::Float32); |
| 25 | boost::multi_array<float, 4> inputData = MakeTensor<float, 4>(tensorInfo, std::vector<float>( |
| 26 | { |
| 27 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, |
| 28 | |
| 29 | 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, |
| 30 | |
| 31 | 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, |
| 32 | |
| 33 | 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, |
| 34 | |
| 35 | 21.0f, 22.0f, 23.0f, 24.0f, 25.0f, |
| 36 | |
| 37 | 26.0f, 27.0f, 28.0f, 29.0f, 30.0f, |
| 38 | }) |
| 39 | ); |
| 40 | |
| 41 | LayerTestResult<float, 4> ret(tensorInfo); |
| 42 | ret.outputExpected = inputData; |
| 43 | |
| 44 | boost::multi_array<float, 4> outputData(shapeData); |
| 45 | |
| 46 | auto inputTensorHandle = srcWorkloadFactory.CreateTensorHandle(tensorInfo); |
| 47 | auto outputTensorHandle = dstWorkloadFactory.CreateTensorHandle(tensorInfo); |
| 48 | |
| 49 | AllocateAndCopyDataToITensorHandle(inputTensorHandle.get(), inputData.data()); |
| 50 | outputTensorHandle->Allocate(); |
| 51 | |
| 52 | armnn::MemCopyQueueDescriptor memCopyQueueDesc; |
| 53 | armnn::WorkloadInfo workloadInfo; |
| 54 | |
| 55 | const unsigned int origin[4] = {}; |
| 56 | |
| 57 | auto workloadInput = (withSubtensors && srcWorkloadFactory.SupportsSubTensors()) |
| 58 | ? srcWorkloadFactory.CreateSubTensorHandle(*inputTensorHandle, tensorShape, origin) |
| 59 | : std::move(inputTensorHandle); |
| 60 | auto workloadOutput = (withSubtensors && dstWorkloadFactory.SupportsSubTensors()) |
| 61 | ? dstWorkloadFactory.CreateSubTensorHandle(*outputTensorHandle, tensorShape, origin) |
| 62 | : std::move(outputTensorHandle); |
| 63 | |
| 64 | AddInputToWorkload(memCopyQueueDesc, workloadInfo, tensorInfo, workloadInput.get()); |
| 65 | AddOutputToWorkload(memCopyQueueDesc, workloadInfo, tensorInfo, workloadOutput.get()); |
| 66 | |
| 67 | dstWorkloadFactory.CreateMemCopy(memCopyQueueDesc, workloadInfo)->Execute(); |
| 68 | |
| 69 | CopyDataFromITensorHandle(outputData.data(), workloadOutput.get()); |
| 70 | ret.output = outputData; |
| 71 | |
| 72 | return ret; |
| 73 | } |
| 74 | |
| 75 | template<typename SrcWorkloadFactory, typename DstWorkloadFactory> |
| 76 | LayerTestResult<float, 4> MemCopyTest(bool withSubtensors) |
| 77 | { |
| 78 | SrcWorkloadFactory srcWorkloadFactory; |
| 79 | DstWorkloadFactory dstWorkloadFactory; |
| 80 | |
| 81 | return MemCopyTest(srcWorkloadFactory, dstWorkloadFactory, withSubtensors); |
| 82 | } |
| 83 | |
| 84 | } // anonymous namespace |