Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 5 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 6 | #include "QuantizeTestImpl.hpp" |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 7 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 8 | #include <ResolveType.hpp> |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 9 | |
| 10 | #include <armnn/ArmNN.hpp> |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 11 | |
Matteo Martincigh | e5b8eb9 | 2019-11-28 15:45:42 +0000 | [diff] [blame] | 12 | #include <armnn/backends/IBackendInternal.hpp> |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 13 | #include <backendsCommon/WorkloadFactory.hpp> |
| 14 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 15 | #include <backendsCommon/test/TensorCopyUtils.hpp> |
| 16 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| 17 | |
| 18 | #include <test/TensorHelpers.hpp> |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 19 | |
| 20 | namespace |
| 21 | { |
| 22 | |
| 23 | template<typename T, std::size_t Dim> |
| 24 | LayerTestResult<T, Dim> QuantizeTestImpl( |
| 25 | armnn::IWorkloadFactory& workloadFactory, |
| 26 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 27 | const armnn::TensorInfo& inputTensorInfo, |
| 28 | const armnn::TensorInfo& outputTensorInfo, |
| 29 | const std::vector<float>& inputData, |
| 30 | const std::vector<T>& expectedOutputData, |
| 31 | armnn::QuantizeQueueDescriptor descriptor) |
| 32 | { |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame] | 33 | boost::ignore_unused(memoryManager); |
Nattapat Chaimanowong | a0beb3b | 2019-04-01 17:04:53 +0100 | [diff] [blame] | 34 | boost::multi_array<float, Dim> input = MakeTensor<float, Dim>(inputTensorInfo, inputData); |
| 35 | |
| 36 | LayerTestResult<T, Dim> ret(outputTensorInfo); |
| 37 | ret.outputExpected = MakeTensor<T, Dim>(outputTensorInfo, expectedOutputData); |
| 38 | |
| 39 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 40 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 41 | |
| 42 | armnn::WorkloadInfo info; |
| 43 | AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get()); |
| 44 | AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get()); |
| 45 | |
| 46 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateQuantize(descriptor, info); |
| 47 | |
| 48 | inputHandle->Allocate(); |
| 49 | outputHandle->Allocate(); |
| 50 | |
| 51 | CopyDataToITensorHandle(inputHandle.get(), input.data()); |
| 52 | |
| 53 | ExecuteWorkload(*workload, memoryManager); |
| 54 | |
| 55 | CopyDataFromITensorHandle(ret.output.data(), outputHandle.get()); |
| 56 | |
| 57 | return ret; |
| 58 | } |
| 59 | |
| 60 | template <armnn::DataType ArmnnOutputType, typename T = armnn::ResolveType<ArmnnOutputType>> |
| 61 | LayerTestResult<T, 4> QuantizeSimpleTest( |
| 62 | armnn::IWorkloadFactory& workloadFactory, |
| 63 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 64 | { |
| 65 | armnn::QuantizeQueueDescriptor desc; |
| 66 | |
| 67 | const armnn::TensorInfo inputTensorInfo({1, 2, 2, 3}, armnn::DataType::Float32); |
| 68 | const armnn::TensorInfo outputTensorInfo({1, 2, 2, 3}, ArmnnOutputType, 0.5f, 1); |
| 69 | |
| 70 | std::vector<float> inputData = std::vector<float>( |
| 71 | { |
| 72 | 1.0f, 2.0f, 3.0f, |
| 73 | 4.0f, 5.0f, 6.0f, |
| 74 | 7.0f, 8.0f, 9.0f, |
| 75 | 10.0f, 11.0f, 12.0f, |
| 76 | }); |
| 77 | |
| 78 | std::vector<T> expectedOutputData = std::vector<T>( |
| 79 | { |
| 80 | 3, 5, 7, |
| 81 | 9, 11, 13, |
| 82 | 15, 17, 19, |
| 83 | 21, 23, 25, |
| 84 | }); |
| 85 | |
| 86 | return QuantizeTestImpl<T, 4>(workloadFactory, |
| 87 | memoryManager, |
| 88 | inputTensorInfo, |
| 89 | outputTensorInfo, |
| 90 | inputData, |
| 91 | expectedOutputData, |
| 92 | desc); |
| 93 | } |
| 94 | |
| 95 | template <armnn::DataType ArmnnOutputType, typename T = armnn::ResolveType<ArmnnOutputType>> |
| 96 | LayerTestResult<T, 4> QuantizeClampTest( |
| 97 | armnn::IWorkloadFactory& workloadFactory, |
| 98 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 99 | { |
| 100 | armnn::QuantizeQueueDescriptor desc; |
| 101 | |
| 102 | const armnn::TensorInfo inputTensorInfo({1, 1, 2, 1}, armnn::DataType::Float32); |
| 103 | const armnn::TensorInfo outputTensorInfo({1, 1, 2, 1}, ArmnnOutputType, 0.0001f, 0); |
| 104 | |
| 105 | const T max = std::numeric_limits<T>::max(); |
| 106 | const T min = std::numeric_limits<T>::lowest(); |
| 107 | |
| 108 | std::vector<float> inputData = std::vector<float>( |
| 109 | { |
| 110 | -100.0f, 100.0f |
| 111 | }); |
| 112 | |
| 113 | std::vector<T> expectedOutputData = std::vector<T>( |
| 114 | { |
| 115 | min, max |
| 116 | }); |
| 117 | |
| 118 | return QuantizeTestImpl<T, 4>(workloadFactory, |
| 119 | memoryManager, |
| 120 | inputTensorInfo, |
| 121 | outputTensorInfo, |
| 122 | inputData, |
| 123 | expectedOutputData, |
| 124 | desc); |
| 125 | } |
| 126 | |
| 127 | } // anonymous namespace |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 128 | |
| 129 | LayerTestResult<uint8_t, 4> QuantizeSimpleUint8Test( |
| 130 | armnn::IWorkloadFactory& workloadFactory, |
| 131 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 132 | { |
| 133 | return QuantizeSimpleTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 134 | } |
| 135 | |
| 136 | LayerTestResult<uint8_t, 4> QuantizeClampUint8Test( |
| 137 | armnn::IWorkloadFactory& workloadFactory, |
| 138 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 139 | { |
| 140 | return QuantizeClampTest<armnn::DataType::QuantisedAsymm8>(workloadFactory, memoryManager); |
| 141 | } |
| 142 | |
Finn Williams | fd27106 | 2019-12-04 14:27:27 +0000 | [diff] [blame] | 143 | LayerTestResult<int8_t, 4> QuantizeClampInt8Test( |
| 144 | armnn::IWorkloadFactory& workloadFactory, |
| 145 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 146 | { |
| 147 | return QuantizeClampTest<armnn::DataType::QSymmS8>(workloadFactory, memoryManager); |
| 148 | } |
| 149 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 150 | LayerTestResult<int16_t, 4> QuantizeClampInt16Test( |
| 151 | armnn::IWorkloadFactory& workloadFactory, |
| 152 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 153 | { |
| 154 | return QuantizeClampTest<armnn::DataType::QuantisedSymm16>(workloadFactory, memoryManager); |
| 155 | } |