josh minor | 4a3c610 | 2020-01-06 16:40:46 -0600 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2019 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include "LayerTestResult.hpp" |
| 9 | |
| 10 | #include <armnn/ArmNN.hpp> |
| 11 | |
| 12 | #include <ResolveType.hpp> |
| 13 | |
| 14 | #include <armnn/backends/IBackendInternal.hpp> |
| 15 | #include <backendsCommon/Workload.hpp> |
| 16 | #include <backendsCommon/WorkloadData.hpp> |
| 17 | #include <backendsCommon/WorkloadFactory.hpp> |
| 18 | |
| 19 | #include <backendsCommon/test/DataTypeUtils.hpp> |
| 20 | #include <backendsCommon/test/TensorCopyUtils.hpp> |
| 21 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| 22 | |
| 23 | #include <test/TensorHelpers.hpp> |
| 24 | |
| 25 | #include <memory> |
| 26 | |
| 27 | std::unique_ptr<armnn::IWorkload> CreateWorkload( |
| 28 | const armnn::IWorkloadFactory& workloadFactory, |
| 29 | const armnn::WorkloadInfo& info, |
| 30 | const armnn::ElementwiseUnaryQueueDescriptor& descriptor); |
| 31 | |
| 32 | template <std::size_t NumDims, |
| 33 | armnn::DataType ArmnnType, |
| 34 | typename T = armnn::ResolveType<ArmnnType>> |
| 35 | LayerTestResult<T, NumDims> ElementwiseUnaryTestHelper( |
| 36 | armnn::IWorkloadFactory & workloadFactory, |
| 37 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 38 | armnn::UnaryOperation op, |
| 39 | const unsigned int shape[NumDims], |
| 40 | std::vector<float> values, |
| 41 | float quantScale, |
| 42 | int quantOffset, |
| 43 | const unsigned int outShape[NumDims], |
| 44 | std::vector<float> outValues, |
| 45 | float outQuantScale, |
| 46 | int outQuantOffset) |
| 47 | { |
| 48 | armnn::TensorInfo inputTensorInfo{NumDims, shape, ArmnnType}; |
| 49 | armnn::TensorInfo outputTensorInfo{NumDims, outShape, ArmnnType}; |
| 50 | |
| 51 | inputTensorInfo.SetQuantizationScale(quantScale); |
| 52 | inputTensorInfo.SetQuantizationOffset(quantOffset); |
| 53 | |
| 54 | outputTensorInfo.SetQuantizationScale(outQuantScale); |
| 55 | outputTensorInfo.SetQuantizationOffset(outQuantOffset); |
| 56 | |
| 57 | auto input = MakeTensor<T, NumDims>(inputTensorInfo, ConvertToDataType<ArmnnType>(values, inputTensorInfo)); |
| 58 | |
| 59 | LayerTestResult<T, NumDims> ret(outputTensorInfo); |
| 60 | |
| 61 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 62 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 63 | |
| 64 | armnn::ElementwiseUnaryDescriptor desc(op); |
| 65 | armnn::ElementwiseUnaryQueueDescriptor qDesc; |
| 66 | qDesc.m_Parameters = desc; |
| 67 | armnn::WorkloadInfo info; |
| 68 | AddInputToWorkload(qDesc, info, inputTensorInfo, inputHandle.get()); |
| 69 | AddOutputToWorkload(qDesc, info, outputTensorInfo, outputHandle.get()); |
| 70 | auto workload = CreateWorkload(workloadFactory, info, qDesc); |
| 71 | |
| 72 | inputHandle->Allocate(); |
| 73 | outputHandle->Allocate(); |
| 74 | |
| 75 | CopyDataToITensorHandle(inputHandle.get(), input.origin()); |
| 76 | |
| 77 | workload->PostAllocationConfigure(); |
| 78 | ExecuteWorkload(*workload, memoryManager); |
| 79 | |
| 80 | CopyDataFromITensorHandle(ret.output.origin(), outputHandle.get()); |
| 81 | |
| 82 | ret.outputExpected = MakeTensor<T, NumDims>(outputTensorInfo, ConvertToDataType<ArmnnType>(outValues, |
| 83 | inputTensorInfo)); |
| 84 | return ret; |
| 85 | } |
| 86 | |
| 87 | template <std::size_t NumDims, |
| 88 | armnn::DataType ArmnnType, |
| 89 | typename T = armnn::ResolveType<ArmnnType>> |
| 90 | LayerTestResult<T, NumDims> ElementwiseUnaryTestHelper( |
| 91 | armnn::IWorkloadFactory & workloadFactory, |
| 92 | const armnn::IBackendInternal::IMemoryManagerSharedPtr & memoryManager, |
| 93 | armnn::UnaryOperation op, |
| 94 | const unsigned int shape[NumDims], |
| 95 | std::vector<float> values, |
| 96 | const unsigned int outShape[NumDims], |
| 97 | std::vector<float> outValues, |
| 98 | float quantScale = 1.0f, |
| 99 | int quantOffset = 0) |
| 100 | { |
| 101 | return ElementwiseUnaryTestHelper<NumDims, ArmnnType>( |
| 102 | workloadFactory, |
| 103 | memoryManager, |
| 104 | op, |
| 105 | shape, |
| 106 | values, |
| 107 | quantScale, |
| 108 | quantOffset, |
| 109 | outShape, |
| 110 | outValues, |
| 111 | quantScale, |
| 112 | quantOffset); |
| 113 | } |