telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2017 Arm Ltd. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 5 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 6 | #include "Pooling2dTestImpl.hpp" |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 7 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 8 | #include <QuantizeHelper.hpp> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 9 | #include <ResolveType.hpp> |
Matteo Martincigh | e011d20 | 2019-11-28 11:35:47 +0000 | [diff] [blame] | 10 | |
| 11 | #include <armnn/LayerSupport.hpp> |
| 12 | |
| 13 | #include <armnnUtils/TensorUtils.hpp> |
| 14 | #include <armnnUtils/DataLayoutIndexed.hpp> |
| 15 | #include <armnnUtils/Permute.hpp> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 16 | |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 17 | #include <armnn/utility/IgnoreUnused.hpp> |
| 18 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 19 | #include <backendsCommon/WorkloadInfo.hpp> |
| 20 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 21 | #include <backendsCommon/test/TensorCopyUtils.hpp> |
| 22 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
| 23 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 24 | #include <test/TensorHelpers.hpp> |
| 25 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 26 | #include <boost/numeric/conversion/cast.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 27 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 28 | namespace |
| 29 | { |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 30 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 31 | using namespace armnnUtils; |
| 32 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 33 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 34 | LayerTestResult<T, 4> SimplePooling2dTestImpl( |
| 35 | armnn::IWorkloadFactory& workloadFactory, |
| 36 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 37 | armnn::Pooling2dDescriptor descriptor, |
| 38 | float qScale, |
| 39 | int32_t qOffset, |
| 40 | const boost::multi_array<T, 4>& input, |
| 41 | const boost::multi_array<T, 4>& outputExpected) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 42 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 43 | IgnoreUnused(memoryManager); |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 44 | const armnn::DataLayout dataLayout = descriptor.m_DataLayout; |
Matteo Martincigh | 2135015 | 2018-11-28 16:22:22 +0000 | [diff] [blame] | 45 | const armnnUtils::DataLayoutIndexed dimensionIndices = dataLayout; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 46 | auto heightIndex = dimensionIndices.GetHeightIndex(); |
| 47 | auto widthIndex = dimensionIndices.GetWidthIndex(); |
| 48 | auto channelsIndex = dimensionIndices.GetChannelsIndex(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 49 | |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 50 | unsigned int inputHeight = boost::numeric_cast<unsigned int>(input.shape()[heightIndex]); |
| 51 | unsigned int inputWidth = boost::numeric_cast<unsigned int>(input.shape()[widthIndex]); |
| 52 | unsigned int inputChannels = boost::numeric_cast<unsigned int>(input.shape()[channelsIndex]); |
| 53 | unsigned int inputBatchSize = boost::numeric_cast<unsigned int>(input.shape()[0]); |
| 54 | |
| 55 | unsigned int outputHeight = boost::numeric_cast<unsigned int>(outputExpected.shape()[heightIndex]); |
| 56 | unsigned int outputWidth = boost::numeric_cast<unsigned int>(outputExpected.shape()[widthIndex]); |
| 57 | unsigned int outputChannels = boost::numeric_cast<unsigned int>(outputExpected.shape()[channelsIndex]); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 58 | unsigned int outputBatchSize = boost::numeric_cast<unsigned int>(outputExpected.shape()[0]); |
| 59 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 60 | armnn::TensorInfo inputTensorInfo = armnnUtils::GetTensorInfo( |
| 61 | inputBatchSize, inputChannels, inputHeight, inputWidth, dataLayout, ArmnnType); |
| 62 | |
| 63 | armnn::TensorInfo outputTensorInfo = armnnUtils::GetTensorInfo( |
| 64 | outputBatchSize, outputChannels, outputHeight, outputWidth, dataLayout, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 65 | |
| 66 | // Set quantization parameters if the requested type is a quantized type. |
| 67 | if(armnn::IsQuantizedType<T>()) |
| 68 | { |
| 69 | inputTensorInfo.SetQuantizationScale(qScale); |
| 70 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 71 | outputTensorInfo.SetQuantizationScale(qScale); |
| 72 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 73 | } |
| 74 | |
| 75 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 76 | |
| 77 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 78 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 79 | |
| 80 | armnn::Pooling2dQueueDescriptor queueDescriptor; |
| 81 | queueDescriptor.m_Parameters = descriptor; |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 82 | queueDescriptor.m_Parameters.m_DataLayout = dataLayout; |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 83 | |
| 84 | armnn::WorkloadInfo workloadInfo; |
| 85 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 86 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 87 | |
| 88 | // Don't execute if Pooling is not supported, as an exception will be raised. |
David Beck | 79141b9 | 2018-10-23 16:09:36 +0100 | [diff] [blame] | 89 | armnn::BackendId backend = workloadFactory.GetBackendId(); |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 90 | const size_t reasonIfUnsupportedMaxLen = 255; |
| 91 | char reasonIfUnsupported[reasonIfUnsupportedMaxLen+1]; |
David Beck | 79141b9 | 2018-10-23 16:09:36 +0100 | [diff] [blame] | 92 | result.supported = armnn::IsPooling2dSupported(backend, inputTensorInfo, outputTensorInfo, |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 93 | queueDescriptor.m_Parameters, |
| 94 | reasonIfUnsupported, reasonIfUnsupportedMaxLen); |
| 95 | if (!result.supported) |
| 96 | { |
| 97 | return result; |
| 98 | } |
| 99 | |
| 100 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePooling2d(queueDescriptor, workloadInfo); |
| 101 | |
| 102 | inputHandle->Allocate(); |
| 103 | outputHandle->Allocate(); |
| 104 | |
| 105 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 106 | |
| 107 | workload->Execute(); |
| 108 | |
| 109 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 110 | |
| 111 | result.outputExpected = outputExpected; |
| 112 | |
| 113 | return result; |
| 114 | } |
| 115 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 116 | // |
| 117 | // Tests max pooling with the following parameters: |
| 118 | // |
| 119 | // Pooling size: 3x3 |
| 120 | // Stride: (2,4) |
| 121 | // input size: 8x13 |
| 122 | // channels: 2 |
| 123 | // batch size: 2 |
| 124 | // |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 125 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 126 | LayerTestResult<T, 4> SimpleMaxPooling2dSize3x3Stride2x4TestCommon( |
| 127 | armnn::IWorkloadFactory& workloadFactory, |
| 128 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 129 | bool forceNoPadding, |
| 130 | float qScale = 1.0f, |
| 131 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 132 | { |
| 133 | armnn::Pooling2dDescriptor descriptor; |
| 134 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 135 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 136 | descriptor.m_StrideX = 2; |
| 137 | descriptor.m_StrideY = 4; |
| 138 | // forceNoPadding is mainly used for compatibility with ARM Compute. |
| 139 | // As of 16/05/2017, it errors if padX or padY are equal to or greater than the pool size. |
| 140 | descriptor.m_PadLeft = descriptor.m_PadRight = forceNoPadding ? 0 : 3; |
| 141 | descriptor.m_PadTop = descriptor.m_PadBottom = 0; |
| 142 | descriptor.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 143 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 144 | |
| 145 | unsigned int inputWidth = 8; |
| 146 | unsigned int inputHeight = 13; |
| 147 | unsigned int outputWidth = |
| 148 | (inputWidth + descriptor.m_PadLeft + descriptor.m_PadRight + descriptor.m_StrideX - descriptor.m_PoolWidth) / |
| 149 | descriptor.m_StrideX; |
| 150 | unsigned int outputHeight = |
| 151 | (inputHeight + descriptor.m_PadTop + descriptor.m_PadBottom + descriptor.m_StrideY - descriptor.m_PoolHeight) / |
| 152 | descriptor.m_StrideY; |
| 153 | unsigned int channels = 2; |
| 154 | unsigned int batchSize = 2; |
| 155 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 156 | armnn::TensorInfo inputTensorInfo({ batchSize, channels, inputHeight, inputWidth }, ArmnnType); |
| 157 | armnn::TensorInfo outputTensorInfo({ batchSize, channels, outputHeight, outputWidth }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 158 | |
| 159 | // Set quantization parameters if the requested type is a quantized type. |
| 160 | if(armnn::IsQuantizedType<T>()) |
| 161 | { |
| 162 | inputTensorInfo.SetQuantizationScale(qScale); |
| 163 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 164 | outputTensorInfo.SetQuantizationScale(qScale); |
| 165 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 166 | } |
| 167 | |
| 168 | std::vector<float> singleChannelData({ |
| 169 | 0.0f, 4.0f, 8.0f, 1.0f, 6.0f, 4.0f, 5.0f, 8.0f, |
| 170 | 1.0f, 1.0f, 6.0f, 0.0f, 3.0f, 7.0f, 4.0f, 7.0f, |
| 171 | 8.0f, 5.0f, 0.0f, 0.0f, 8.0f, 3.0f, 4.0f, 3.0f, |
| 172 | 8.0f, 2.0f, 5.0f, 4.0f, 1.0f, 9.0f, 2.0f, 0.0f, |
| 173 | 5.0f, 4.0f, 5.0f, 0.0f, 0.0f, 0.0f, 7.0f, 2.0f, |
| 174 | 1.0f, 2.0f, 6.0f, 2.0f, 7.0f, 9.0f, 5.0f, 2.0f, |
| 175 | 9.0f, 7.0f, 3.0f, 1.0f, 3.0f, 4.0f, 8.0f, 3.0f, |
| 176 | 1.0f, 0.0f, 0.0f, 5.0f, 5.0f, 4.0f, 2.0f, 0.0f, |
| 177 | 6.0f, 4.0f, 3.0f, 6.0f, 9.0f, 5.0f, 5.0f, 6.0f, |
| 178 | 8.0f, 7.0f, 9.0f, 6.0f, 1.0f, 4.0f, 1.0f, 9.0f, |
| 179 | 7.0f, 1.0f, 9.0f, 2.0f, 9.0f, 9.0f, 8.0f, 1.0f, |
| 180 | 4.0f, 4.0f, 5.0f, 9.0f, 2.0f, 6.0f, 6.0f, 4.0f, |
| 181 | 3.0f, 5.0f, 4.0f, 0.0f, 1.0f, 5.0f, 9.0f, 7.0f, |
| 182 | }); |
| 183 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 184 | // Constructs input data. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 185 | std::vector<float> inputData; |
| 186 | auto negator = [](float f) { return -f; }; |
| 187 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 188 | // First image (two channels where the second channel is the negative of the first one). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 189 | inputData.insert(inputData.end(), singleChannelData.begin(), singleChannelData.end()); |
| 190 | std::transform(singleChannelData.begin(), singleChannelData.end(), std::back_inserter(inputData), negator); |
| 191 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 192 | // Second image (same as first image). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 193 | inputData.insert(inputData.end(), singleChannelData.begin(), singleChannelData.end()); |
| 194 | std::transform(singleChannelData.begin(), singleChannelData.end(), std::back_inserter(inputData), negator); |
| 195 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 196 | auto input = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(inputData, qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 197 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 198 | // These were calculated manually. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 199 | auto shape(GetTensorShapeAsArray<4>(outputTensorInfo)); |
| 200 | boost::multi_array<T, 4> outputExpected(shape); |
| 201 | if (forceNoPadding) |
| 202 | { |
| 203 | outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 204 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 205 | 8.0f, 8.0f, 8.0f, |
| 206 | 9.0f, 7.0f, 9.0f, |
| 207 | 9.0f, 9.0f, 9.0f, |
| 208 | |
| 209 | 0.0f, 0.0f, -3.0f, |
| 210 | -1.0f, 0.0f, 0.0f, |
| 211 | -1.0f, -1.0f, -1.0f, |
| 212 | |
| 213 | 8.0f, 8.0f, 8.0f, |
| 214 | 9.0f, 7.0f, 9.0f, |
| 215 | 9.0f, 9.0f, 9.0f, |
| 216 | |
| 217 | 0.0f, 0.0f, -3.0f, |
| 218 | -1.0f, 0.0f, 0.0f, |
| 219 | -1.0f, -1.0f, -1.0f |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 220 | }, |
| 221 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 222 | } |
| 223 | else |
| 224 | { |
| 225 | outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 226 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 227 | 0.0f, 8.0f, 8.0f, 8.0f, 8.0f, 8.0f, |
| 228 | 0.0f, 9.0f, 7.0f, 9.0f, 9.0f, 3.0f, |
| 229 | 0.0f, 8.0f, 9.0f, 9.0f, 9.0f, 9.0f, |
| 230 | |
Finn Williams | 70f609b | 2019-11-06 16:54:53 +0000 | [diff] [blame] | 231 | 0.0f, 0.0f, 0.0f, 0.0f,-3.0f,-3.0f, |
| 232 | 0.0f,-1.0f, 0.0f, 0.0f, 0.0f,-2.0f, |
| 233 | 0.0f,-1.0f,-1.0f,-1.0f,-1.0f,-1.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 234 | |
| 235 | 0.0f, 8.0f, 8.0f, 8.0f, 8.0f, 8.0f, |
| 236 | 0.0f, 9.0f, 7.0f, 9.0f, 9.0f, 3.0f, |
| 237 | 0.0f, 8.0f, 9.0f, 9.0f, 9.0f, 9.0f, |
| 238 | |
Finn Williams | 70f609b | 2019-11-06 16:54:53 +0000 | [diff] [blame] | 239 | 0.0f, 0.0f, 0.0f, 0.0f,-3.0f,-3.0f, |
| 240 | 0.0f,-1.0f, 0.0f, 0.0f, 0.0f,-2.0f, |
| 241 | 0.0f,-1.0f,-1.0f,-1.0f,-1.0f,-1.0f |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 242 | }, |
| 243 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 244 | } |
| 245 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 246 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 247 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 248 | } |
| 249 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 250 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 251 | LayerTestResult<T, 4> SimpleMaxPooling2dTestCommon( |
| 252 | armnn::IWorkloadFactory& workloadFactory, |
| 253 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 254 | const armnn::DataLayout dataLayout = armnn::DataLayout::NCHW, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 255 | float qScale = 1.0f, |
| 256 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 257 | { |
| 258 | armnn::Pooling2dDescriptor descriptor; |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 259 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 260 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; |
| 261 | descriptor.m_StrideX = descriptor.m_StrideY = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 262 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 263 | descriptor.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 264 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 265 | armnn::TensorInfo inputTensorInfo = armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, ArmnnType); |
| 266 | armnn::TensorInfo outputTensorInfo = armnnUtils::GetTensorInfo(1, 2, 2, 2, dataLayout, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 267 | |
| 268 | // Set quantization parameters if the requested type is a quantized type. |
| 269 | if(armnn::IsQuantizedType<T>()) |
| 270 | { |
| 271 | inputTensorInfo.SetQuantizationScale(qScale); |
| 272 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 273 | outputTensorInfo.SetQuantizationScale(qScale); |
| 274 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 275 | } |
| 276 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 277 | std::vector<T> inputData( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 278 | QuantizedVector<T>({ |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 279 | 1.0f, 2.0f, 5.0f, 6.0f, |
| 280 | 3.0f, 4.0f, 7.0f, 8.0f, |
| 281 | 9.0f, 10.0f, 13.0f, 14.0f, |
| 282 | 11.0f, 12.0f, 15.0f, 16.0f, |
| 283 | |
| 284 | 17.0f, 18.0f, 21.0f, 22.0f, |
| 285 | 19.0f, 20.0f, 23.0f, 24.0f, |
| 286 | 25.0f, 26.0f, 29.0f, 30.0f, |
| 287 | 27.0f, 28.0f, 31.0f, 32.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 288 | }, |
| 289 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 290 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 291 | std::vector<T> outputData( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 292 | QuantizedVector<T>({ |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 293 | 4.0f, 8.0f, |
| 294 | 12.0f, 16.0f, |
| 295 | |
| 296 | 20.0f, 24.0f, |
| 297 | 28.0f, 32.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 298 | }, |
| 299 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 300 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 301 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 302 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 303 | { |
| 304 | std::vector<T> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 305 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(T)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 306 | inputData = tmp; |
| 307 | |
| 308 | std::vector<T> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 309 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(T)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 310 | outputData = tmp1; |
| 311 | } |
| 312 | |
| 313 | auto input = MakeTensor<T, 4>(inputTensorInfo, inputData); |
| 314 | |
| 315 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputData); |
| 316 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 317 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 318 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 319 | } |
| 320 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 321 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 322 | LayerTestResult<T, 4> SimpleAveragePooling2dTestCommon( |
| 323 | armnn::IWorkloadFactory& workloadFactory, |
| 324 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 325 | armnn::DataLayout dataLayout = armnn::DataLayout::NCHW, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 326 | float qScale = 1.0f, |
| 327 | int32_t qOffset = 0) |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 328 | { |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 329 | armnn::Pooling2dDescriptor descriptor; |
| 330 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 331 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; |
| 332 | descriptor.m_StrideX = descriptor.m_StrideY = 2; |
| 333 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 334 | descriptor.m_DataLayout = dataLayout; |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 335 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 336 | armnn::TensorInfo inputTensorInfo = armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, ArmnnType); |
| 337 | armnn::TensorInfo outputTensorInfo = armnnUtils::GetTensorInfo(1, 2, 2, 2, dataLayout, ArmnnType); |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 338 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 339 | // Set quantization parameters if the requested type is a quantized type. |
| 340 | if(armnn::IsQuantizedType<T>()) |
| 341 | { |
| 342 | inputTensorInfo.SetQuantizationScale(qScale); |
| 343 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 344 | outputTensorInfo.SetQuantizationScale(qScale); |
| 345 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 346 | } |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 347 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 348 | std::vector<T> inputData( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 349 | QuantizedVector<T>({ |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 350 | 2.0f, 2.0f, 6.0f, 6.0f, |
| 351 | 4.0f, 4.0f, 8.0f, 8.0f, |
| 352 | 10.0f, 12.0f, 14.0f, 16.0f, |
| 353 | 10.0f, 12.0f, 16.0f, 14.0f, |
| 354 | |
| 355 | 18.0f, 20.0f, 24.0f, 22.0f, |
| 356 | 20.0f, 18.0f, 22.0f, 24.0f, |
| 357 | 26.0f, 28.0f, 0.0f, 0.0f, |
| 358 | 26.0f, 28.0f, 0.0f, 0.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 359 | }, |
| 360 | qScale, qOffset)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 361 | |
| 362 | std::vector<T> outputData( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 363 | QuantizedVector<T>({ |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 364 | 3.0f, 7.0f, |
| 365 | 11.0f, 15.0f, |
| 366 | |
| 367 | 19.0f, 23.0f, |
| 368 | 27.0f, 0.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 369 | }, |
| 370 | qScale, qOffset)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 371 | |
| 372 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 373 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 374 | { |
| 375 | std::vector<T> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 376 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(T)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 377 | inputData = tmp; |
| 378 | |
| 379 | std::vector<T> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 380 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(T)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 381 | outputData = tmp1; |
| 382 | } |
| 383 | |
| 384 | auto input = MakeTensor<T, 4>(inputTensorInfo, inputData); |
| 385 | |
| 386 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputData); |
| 387 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 388 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 389 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 390 | } |
| 391 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 392 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 393 | LayerTestResult<T, 4> LargeTensorsAveragePooling2dTestCommon( |
| 394 | armnn::IWorkloadFactory& workloadFactory, |
| 395 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 396 | float qScale = 1.0f, |
| 397 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 398 | { |
| 399 | armnn::Pooling2dDescriptor descriptor; |
| 400 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 401 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 100; |
| 402 | descriptor.m_StrideX = descriptor.m_StrideY = 5; |
| 403 | descriptor.m_PadLeft = 50; |
| 404 | descriptor.m_PadRight = 50; |
| 405 | descriptor.m_PadTop = 50; |
| 406 | descriptor.m_PadBottom = 50; |
| 407 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 408 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 409 | armnn::TensorInfo inputTensorInfo({ 5, 3, 52, 60 }, ArmnnType); |
| 410 | armnn::TensorInfo outputTensorInfo({ 5, 3, 11, 13 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 411 | |
| 412 | // Set quantization parameters if the requested type is a quantized type. |
| 413 | if(armnn::IsQuantizedType<T>()) |
| 414 | { |
| 415 | inputTensorInfo.SetQuantizationScale(qScale); |
| 416 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 417 | outputTensorInfo.SetQuantizationScale(qScale); |
| 418 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 419 | } |
| 420 | |
| 421 | std::vector<T> inputVec; |
| 422 | |
| 423 | for (unsigned int i = 0 ; i < inputTensorInfo.GetShape().GetNumElements(); ++i) |
| 424 | { |
| 425 | inputVec.push_back(1); |
| 426 | } |
| 427 | |
| 428 | auto input = MakeTensor<T, 4>(inputTensorInfo, inputVec); |
| 429 | |
| 430 | std::vector<T> outputVec; |
| 431 | |
| 432 | for (unsigned int i = 0 ; i < outputTensorInfo.GetShape().GetNumElements(); ++i) |
| 433 | { |
| 434 | outputVec.push_back(1); |
| 435 | } |
| 436 | |
| 437 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputVec); |
| 438 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 439 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 440 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 441 | } |
| 442 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 443 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 444 | LayerTestResult<T, 4> SimpleL2Pooling2dTestCommon( |
| 445 | armnn::IWorkloadFactory& workloadFactory, |
| 446 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 447 | armnn::DataLayout dataLayout = armnn::DataLayout::NCHW, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 448 | float qScale = 1.0f, |
| 449 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 450 | { |
| 451 | armnn::Pooling2dDescriptor descriptor; |
| 452 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 453 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; |
| 454 | descriptor.m_StrideX = descriptor.m_StrideY = 2; |
| 455 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 456 | descriptor.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 457 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 458 | armnn::TensorInfo inputTensorInfo = armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, ArmnnType); |
| 459 | armnn::TensorInfo outputTensorInfo = armnnUtils::GetTensorInfo(1, 2, 2, 2, dataLayout, ArmnnType); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 460 | |
| 461 | std::vector<T> inputData( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 462 | QuantizedVector<T>({ |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 463 | 1.0f, 7.0f, 5.0f, 5.0f, |
| 464 | 1.0f, 7.0f, 5.0f, 5.0f, |
| 465 | 3.0f, 3.0f, 1.0f, 1.0f, |
| 466 | 3.0f, 3.0f, 1.0f, 1.0f, |
| 467 | |
| 468 | 1.0f, 7.0f, 0.0f, 0.0f, |
| 469 | 1.0f, 7.0f, 2.0f, 0.0f, |
| 470 | 0.0f, 2.0f, 1.0f, 1.0f, |
| 471 | 0.0f, 0.0f, 1.0f, 1.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 472 | }, |
| 473 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 474 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 475 | std::vector<T> outputData( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 476 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 477 | 5.0f, 5.0f, |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 478 | 3.0f, 1.0f, |
| 479 | |
| 480 | 5.0f, 1.0f, |
| 481 | 1.0f, 1.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 482 | }, |
| 483 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 484 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 485 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 486 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 487 | { |
| 488 | std::vector<T> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 489 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(T)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 490 | inputData = tmp; |
| 491 | |
| 492 | std::vector<T> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 493 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(T)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 494 | outputData = tmp1; |
| 495 | } |
| 496 | |
| 497 | auto input = MakeTensor<T, 4>(inputTensorInfo, inputData); |
| 498 | |
| 499 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputData); |
| 500 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 501 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 502 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 503 | } |
| 504 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 505 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 506 | LayerTestResult<T, 4> L2Pooling2dSize3Stride1TestCommon( |
| 507 | armnn::IWorkloadFactory& workloadFactory, |
| 508 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 509 | float qScale = 1.0f, |
| 510 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 511 | { |
| 512 | armnn::Pooling2dDescriptor descriptor; |
| 513 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 514 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 515 | descriptor.m_StrideX = descriptor.m_StrideY = 1; |
| 516 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 517 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 518 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 519 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 520 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 521 | 2.0f, 1.0f, 5.0f, 2.0f, |
| 522 | 1.0f, 2.0f, 2.0f, 1.0f, |
| 523 | 5.0f, 4.0f, 1.0f, 5.0f, |
| 524 | 2.0f, 1.0f, 5.0f, 2.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 525 | }, |
| 526 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 527 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 528 | armnn::TensorInfo outputTensorInfo({ 1, 1, 2, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 529 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 530 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 531 | 3.0f, 3.0f, |
| 532 | 3.0f, 3.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 533 | }, |
| 534 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 535 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 536 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 537 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 538 | } |
| 539 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 540 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 541 | LayerTestResult<T, 4> L2Pooling2dSize3Stride3TestCommon( |
| 542 | armnn::IWorkloadFactory& workloadFactory, |
| 543 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 544 | float qScale = 1.0f, |
| 545 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 546 | { |
| 547 | armnn::Pooling2dDescriptor descriptor; |
| 548 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 549 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 550 | descriptor.m_StrideX = descriptor.m_StrideY = 3; |
| 551 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 552 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 553 | armnn::TensorInfo inputTensorInfo({ 1, 1, 9, 9 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 554 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 555 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 556 | 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, |
| 557 | 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, |
| 558 | 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, |
| 559 | 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, |
| 560 | 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, |
| 561 | 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, |
| 562 | 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, |
| 563 | 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, |
| 564 | 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 565 | }, |
| 566 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 567 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 568 | armnn::TensorInfo outputTensorInfo({ 1, 1, 3, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 569 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 570 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 571 | 3.0f, 3.0f, 3.0f, |
| 572 | 3.0f, 3.0f, 3.0f, |
| 573 | 3.0f, 3.0f, 3.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 574 | }, |
| 575 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 576 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 577 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 578 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 579 | } |
| 580 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 581 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 582 | LayerTestResult<T, 4> L2Pooling2dSize3Stride4TestCommon( |
| 583 | armnn::IWorkloadFactory& workloadFactory, |
| 584 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 585 | float qScale = 1.0f, |
| 586 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 587 | { |
| 588 | armnn::Pooling2dDescriptor descriptor; |
| 589 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 590 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 591 | descriptor.m_StrideX = descriptor.m_StrideY = 4; |
| 592 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 593 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 594 | armnn::TensorInfo inputTensorInfo({ 1, 1, 7, 7 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 595 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 596 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 597 | 2.0f, 1.0f, 5.0f, 0.0f, 2.0f, 1.0f, 5.0f, |
| 598 | 1.0f, 2.0f, 2.0f, 0.0f, 1.0f, 2.0f, 2.0f, |
| 599 | 5.0f, 4.0f, 1.0f, 0.0f, 5.0f, 4.0f, 1.0f, |
| 600 | 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, |
| 601 | 2.0f, 1.0f, 5.0f, 0.0f, 2.0f, 1.0f, 5.0f, |
| 602 | 1.0f, 2.0f, 2.0f, 0.0f, 1.0f, 2.0f, 2.0f, |
| 603 | 5.0f, 4.0f, 1.0f, 0.0f, 5.0f, 4.0f, 1.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 604 | }, |
| 605 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 606 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 607 | armnn::TensorInfo outputTensorInfo({ 1, 1, 2, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 608 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 609 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 610 | 3.0f, 3.0f, |
| 611 | 3.0f, 3.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 612 | }, |
| 613 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 614 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 615 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 616 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 617 | } |
| 618 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 619 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 620 | LayerTestResult<T, 4> L2Pooling2dSize7TestCommon( |
| 621 | armnn::IWorkloadFactory& workloadFactory, |
| 622 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 623 | float qScale = 1.0f, |
| 624 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 625 | { |
| 626 | armnn::Pooling2dDescriptor descriptor; |
| 627 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 628 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 7; |
| 629 | descriptor.m_StrideX = descriptor.m_StrideY = 7; |
| 630 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 631 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 632 | armnn::TensorInfo inputTensorInfo({ 1, 1, 7, 7 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 633 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 634 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 635 | 1.0f, 0.0f, 2.0f, 0.0f, 3.0f, 0.0f, 4.0f, |
| 636 | 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, |
| 637 | 0.0f, 5.0f, 0.0f, 6.0f, 0.0f, 7.0f, 0.0f, |
| 638 | 8.0f, 0.0f, 9.0f, 0.0f, 10.0f, 0.0f, 5.0f, |
| 639 | 0.0f, 5.0f, 0.0f, 2.0f, 0.0f, 1.0f, 1.0f, |
| 640 | 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, |
| 641 | 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 642 | }, |
| 643 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 644 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 645 | armnn::TensorInfo outputTensorInfo({ 1, 1, 1, 1 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 646 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 647 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 648 | 3.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 649 | }, |
| 650 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 651 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 652 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 653 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 654 | } |
| 655 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 656 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 657 | LayerTestResult<T, 4> L2Pooling2dSize9TestCommon( |
| 658 | armnn::IWorkloadFactory& workloadFactory, |
| 659 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 660 | float qScale = 1.0f, |
| 661 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 662 | { |
| 663 | armnn::Pooling2dDescriptor descriptor; |
| 664 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 665 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 9; |
| 666 | descriptor.m_StrideX = descriptor.m_StrideY = 9; |
| 667 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 668 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 669 | armnn::TensorInfo inputTensorInfo({ 1, 1, 9, 9 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 670 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 671 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 672 | 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, |
| 673 | 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, |
| 674 | 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, |
| 675 | 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, |
| 676 | 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, |
| 677 | 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, |
| 678 | 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, |
| 679 | 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, |
| 680 | 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 681 | }, |
| 682 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 683 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 684 | armnn::TensorInfo outputTensorInfo({ 1, 1, 1, 1 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 685 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 686 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 687 | 3.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 688 | }, |
| 689 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 690 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 691 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 692 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 693 | } |
| 694 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 695 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 696 | LayerTestResult<T, 4> AsymmetricNonSquarePooling2dTestCommon( |
| 697 | armnn::IWorkloadFactory& workloadFactory, |
| 698 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 699 | float qScale = 1.0f, |
| 700 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 701 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 702 | armnn::TensorInfo inputTensorInfo({ 1, 1, 1, 3 }, ArmnnType); |
| 703 | armnn::TensorInfo outputTensorInfo({ 1, 1, 2, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 704 | |
| 705 | armnn::Pooling2dDescriptor descriptor; |
| 706 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 707 | descriptor.m_PoolWidth = 2; |
| 708 | descriptor.m_PoolHeight = 3; |
| 709 | descriptor.m_StrideX = 2; |
| 710 | descriptor.m_StrideY = 1; |
| 711 | descriptor.m_PadLeft = 2; |
| 712 | descriptor.m_PadRight = 0; |
| 713 | descriptor.m_PadTop = 1; |
| 714 | descriptor.m_PadBottom = 2; |
| 715 | descriptor.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 716 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 717 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 718 | // Construct input data. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 719 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 720 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 721 | 1.0f, 3.0f, 4.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 722 | }, |
| 723 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 724 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 725 | // These were calculated manually. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 726 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 727 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 728 | 0.0f, 3.0f, 0.0f, 3.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 729 | }, |
| 730 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 731 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 732 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 733 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 734 | } |
| 735 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 736 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 737 | LayerTestResult<T, 4> ComparePooling2dTestCommon( |
| 738 | armnn::IWorkloadFactory& workloadFactory, |
| 739 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 740 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 741 | armnn::PoolingAlgorithm poolingType, |
| 742 | float qScale = 1.0f, |
| 743 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 744 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 745 | IgnoreUnused(memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 746 | const unsigned int inputWidth = 16; |
| 747 | const unsigned int inputHeight = 32; |
| 748 | const unsigned int channelCount = 2; |
| 749 | const unsigned int batchSize = 5; |
| 750 | |
| 751 | const unsigned int poolSize = 3; |
| 752 | const unsigned int strideX = 2; |
| 753 | const unsigned int strideY = 4; |
| 754 | const unsigned int padX = 0; |
| 755 | const unsigned int padY = 0; |
| 756 | |
| 757 | const unsigned int outputWidth = (inputWidth + 2 * padX + strideX - poolSize) / strideX; |
| 758 | const unsigned int outputHeight = (inputHeight + 2 * padY + strideY - poolSize) / strideY; |
| 759 | |
| 760 | armnn::TensorInfo inputTensorInfo; |
| 761 | armnn::TensorInfo outputTensorInfo; |
| 762 | |
| 763 | unsigned int inputShape[] = { batchSize, channelCount, inputHeight, inputWidth }; |
| 764 | unsigned int outputShape[] = { batchSize, channelCount, outputHeight, outputWidth }; |
| 765 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 766 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 767 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 768 | |
| 769 | // Set quantization parameters if the requested type is a quantized type. |
| 770 | if(armnn::IsQuantizedType<T>()) |
| 771 | { |
| 772 | inputTensorInfo.SetQuantizationScale(qScale); |
| 773 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 774 | outputTensorInfo.SetQuantizationScale(qScale); |
| 775 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 776 | } |
| 777 | |
| 778 | boost::multi_array<T, 4> input = MakeRandomTensor<T, 4>(inputTensorInfo, 81715); |
| 779 | |
| 780 | LayerTestResult<T, 4> comparisonResult(outputTensorInfo); |
| 781 | |
| 782 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 783 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 784 | |
| 785 | armnn::Pooling2dQueueDescriptor data; |
| 786 | armnn::WorkloadInfo info; |
| 787 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 788 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 789 | data.m_Parameters.m_PoolType = poolingType; |
| 790 | data.m_Parameters.m_PoolWidth = poolSize; |
| 791 | data.m_Parameters.m_PoolHeight = poolSize; |
| 792 | data.m_Parameters.m_StrideX = strideX; |
| 793 | data.m_Parameters.m_StrideY = strideY; |
| 794 | data.m_Parameters.m_PadLeft = padX; |
| 795 | data.m_Parameters.m_PadRight = padX; |
| 796 | data.m_Parameters.m_PadTop = padY; |
| 797 | data.m_Parameters.m_PadBottom = padY; |
| 798 | data.m_Parameters.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 799 | |
| 800 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 801 | std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo); |
| 802 | |
| 803 | // Don't execute if Pooling is not supported, as an exception will be raised. |
David Beck | 79141b9 | 2018-10-23 16:09:36 +0100 | [diff] [blame] | 804 | armnn::BackendId backend = workloadFactory.GetBackendId(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 805 | const size_t reasonIfUnsupportedMaxLen = 255; |
| 806 | char reasonIfUnsupported[reasonIfUnsupportedMaxLen+1]; |
David Beck | 79141b9 | 2018-10-23 16:09:36 +0100 | [diff] [blame] | 807 | comparisonResult.supported = armnn::IsPooling2dSupported(backend, inputTensorInfo, outputTensorInfo, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 808 | data.m_Parameters, |
| 809 | reasonIfUnsupported, reasonIfUnsupportedMaxLen); |
| 810 | if (!comparisonResult.supported) |
| 811 | { |
| 812 | return comparisonResult; |
| 813 | } |
| 814 | |
| 815 | armnn::Pooling2dQueueDescriptor refData = data; |
| 816 | armnn::WorkloadInfo refInfo = info; |
| 817 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get()); |
| 818 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 819 | |
| 820 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePooling2d(data, info); |
| 821 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreatePooling2d(refData, refInfo); |
| 822 | |
| 823 | outputHandleRef->Allocate(); |
| 824 | inputHandleRef->Allocate(); |
| 825 | inputHandle->Allocate(); |
| 826 | outputHandle->Allocate(); |
| 827 | |
| 828 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 829 | CopyDataToITensorHandle(inputHandleRef.get(), &input[0][0][0][0]); |
| 830 | |
| 831 | workload->Execute(); |
| 832 | workloadRef->Execute(); |
| 833 | |
| 834 | CopyDataFromITensorHandle(&comparisonResult.output[0][0][0][0], outputHandle.get()); |
| 835 | CopyDataFromITensorHandle(&comparisonResult.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 836 | |
| 837 | return comparisonResult; |
| 838 | } |
| 839 | |
| 840 | // |
| 841 | // Tests max pooling with the following parameters: |
| 842 | // |
| 843 | // Pooling size: 2x2 |
| 844 | // Stride: (2,2) |
| 845 | // input size: 4x4 |
| 846 | // channels: 1 |
| 847 | // batch size: 1 |
| 848 | // |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 849 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 850 | LayerTestResult<T, 4> SimpleMaxPooling2dSize2x2Stride2x2TestCommon( |
| 851 | armnn::IWorkloadFactory& workloadFactory, |
| 852 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 853 | bool forceNoPadding, |
| 854 | float qScale = 1.0f, |
| 855 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 856 | { |
| 857 | armnn::Pooling2dDescriptor descriptor; |
| 858 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 859 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; |
| 860 | descriptor.m_StrideX = 2; |
| 861 | descriptor.m_StrideY = 2; |
| 862 | descriptor.m_PadLeft = descriptor.m_PadRight = forceNoPadding ? 0 : 3; |
| 863 | descriptor.m_PadTop = descriptor.m_PadBottom = 0; |
| 864 | descriptor.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 865 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 866 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 867 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 868 | unsigned int inputWidth = 4; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 869 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 870 | unsigned int inputHeight = 4; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 871 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 872 | unsigned int outputWidth = |
| 873 | (inputWidth + descriptor.m_PadLeft + descriptor.m_PadRight + descriptor.m_StrideX - descriptor.m_PoolWidth) / |
| 874 | descriptor.m_StrideX; |
| 875 | unsigned int outputHeight = |
| 876 | (inputHeight + descriptor.m_PadTop + descriptor.m_PadBottom + descriptor.m_StrideY - descriptor.m_PoolHeight) / |
| 877 | descriptor.m_StrideY; |
| 878 | unsigned int channels = 1; |
| 879 | unsigned int batchSize = 1; |
| 880 | |
| 881 | std::vector<float> inputData = { |
| 882 | 510.0f, 222.0f, 780.0f, 654.0f, |
| 883 | 141.0f, 276.0f, 15.0f, 546.0f, |
| 884 | 303.0f, 618.0f, 582.0f, 339.0f, |
| 885 | 438.0f, 564.0f, 573.0f, 402.0f |
| 886 | }; |
| 887 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 888 | // Note that left and right edges will be 0.f, due to the 2x2 max pooling only accessing zeros here. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 889 | std::vector<float> expectedOutputDataWithPadding = { |
| 890 | 0.0f, 510.0f, 780.0f, 654.0f, 0.0f, |
| 891 | 0.0f, 438.0f, 618.0f, 402.0f, 0.0f |
| 892 | }; |
| 893 | |
| 894 | std::vector<float> expectedOutputDataNoPadding = { |
| 895 | 510.0f, 780.0f, |
| 896 | 618.0f, 582.0f |
| 897 | }; |
| 898 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 899 | armnn::TensorInfo inputTensorInfo({ batchSize, channels, inputHeight, inputWidth }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 900 | |
| 901 | // Scale and offset should match input - we're just calculating maximum values. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 902 | armnn::TensorInfo outputTensorInfo({ batchSize, channels, outputHeight, outputWidth }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 903 | |
| 904 | // Set quantization parameters if the requested type is a quantized type. |
| 905 | if(armnn::IsQuantizedType<T>()) |
| 906 | { |
| 907 | inputTensorInfo.SetQuantizationScale(qScale); |
| 908 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 909 | outputTensorInfo.SetQuantizationScale(qScale); |
| 910 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 911 | } |
| 912 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 913 | auto input = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(inputData, qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 914 | |
| 915 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 916 | forceNoPadding ? QuantizedVector<T>(expectedOutputDataNoPadding, qScale, qOffset) : |
| 917 | QuantizedVector<T>(expectedOutputDataWithPadding, qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 918 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 919 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 920 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 921 | } |
| 922 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 923 | // |
| 924 | // Tests max pooling with the following parameters: |
| 925 | // |
| 926 | // Pooling size: 3x2 |
| 927 | // Stride: (2,2) |
| 928 | // input size: 3x2 |
| 929 | // channels: 1 |
| 930 | // batch size: 1 |
| 931 | // |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 932 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 933 | LayerTestResult<T, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon( |
| 934 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 935 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 936 | bool forceNoPadding, |
| 937 | float qScale = 1.0f, |
| 938 | int32_t qOffset = 0) |
| 939 | { |
| 940 | armnn::Pooling2dDescriptor descriptor; |
| 941 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 942 | descriptor.m_PoolWidth = 3; |
| 943 | descriptor.m_PoolHeight = 2; |
| 944 | descriptor.m_StrideX = 2; |
| 945 | descriptor.m_StrideY = 2; |
| 946 | descriptor.m_PadLeft = (forceNoPadding) ? 0 : 1; |
| 947 | descriptor.m_PadRight = descriptor.m_PadLeft; |
| 948 | descriptor.m_PadTop = 0; |
| 949 | descriptor.m_PadBottom = 0; |
| 950 | descriptor.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 951 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 952 | |
| 953 | unsigned int inputWidth = 3; |
| 954 | unsigned int inputHeight = 2; |
| 955 | unsigned int outputWidth = |
| 956 | (inputWidth + descriptor.m_PadLeft + descriptor.m_PadRight + descriptor.m_StrideX - descriptor.m_PoolWidth) / |
| 957 | descriptor.m_StrideX; |
| 958 | unsigned int outputHeight = |
| 959 | (inputHeight + descriptor.m_PadTop + descriptor.m_PadBottom + descriptor.m_StrideY - descriptor.m_PoolHeight) / |
| 960 | descriptor.m_StrideY; |
| 961 | unsigned int channels = 1; |
| 962 | unsigned int batchSize = 1; |
| 963 | |
| 964 | std::vector<float> inputData = { |
| 965 | 3.0f, 6.0f, 9.0f, |
| 966 | 12.0f, 15.0f, 18.0f, |
| 967 | }; |
| 968 | |
| 969 | std::vector<float> expectedOutputDataWithPadding = { |
| 970 | 6.0f, 8.0f, |
| 971 | }; |
| 972 | |
| 973 | std::vector<float> expectedOutputDataNoPadding = { |
| 974 | 10.5f, |
| 975 | }; |
| 976 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 977 | armnn::TensorInfo inputTensorInfo({ batchSize, channels, inputHeight, inputWidth }, ArmnnType); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 978 | |
| 979 | // Scale and offset should match input - we're just calculating average values. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 980 | armnn::TensorInfo outputTensorInfo({ batchSize, channels, outputHeight, outputWidth }, ArmnnType); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 981 | |
| 982 | // Set quantization parameters if the requested type is a quantized type. |
| 983 | if(armnn::IsQuantizedType<T>()) |
| 984 | { |
| 985 | inputTensorInfo.SetQuantizationScale(qScale); |
| 986 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 987 | outputTensorInfo.SetQuantizationScale(qScale); |
| 988 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 989 | } |
| 990 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 991 | auto input = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(inputData, qScale, qOffset)); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 992 | |
| 993 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 994 | forceNoPadding ? QuantizedVector<T>(expectedOutputDataNoPadding, qScale, qOffset) : |
| 995 | QuantizedVector<T>(expectedOutputDataWithPadding, qScale, qOffset)); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 996 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 997 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 998 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 999 | } |
| 1000 | |
| 1001 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1002 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1003 | LayerTestResult<T, 4> IgnorePaddingSimpleMaxPooling2dTestCommon( |
| 1004 | armnn::IWorkloadFactory& workloadFactory, |
| 1005 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1006 | float qScale = 1.0f, |
| 1007 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1008 | { |
| 1009 | armnn::Pooling2dDescriptor descriptor; |
| 1010 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 1011 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; |
| 1012 | descriptor.m_StrideX = descriptor.m_StrideY = 2; |
| 1013 | descriptor.m_PadLeft = 1; |
| 1014 | descriptor.m_PadRight = 1; |
| 1015 | descriptor.m_PadTop = 1; |
| 1016 | descriptor.m_PadBottom = 1; |
| 1017 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 1018 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1019 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
| 1020 | armnn::TensorInfo outputTensorInfo({ 1, 1, 3, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1021 | |
| 1022 | // Set quantization parameters if the requested type is a quantized type. |
| 1023 | if(armnn::IsQuantizedType<T>()) |
| 1024 | { |
| 1025 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1026 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1027 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1028 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1029 | } |
| 1030 | |
| 1031 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1032 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1033 | -1.0f, -2.0f, 3.0f, 4.0f, |
| 1034 | -1.0f, -2.0f, 3.0f, 4.0f, |
| 1035 | 1.0f, 2.0f, -3.0f, -4.0f, |
| 1036 | 1.0f, 2.0f, -3.0f, -4.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1037 | }, |
| 1038 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1039 | |
| 1040 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1041 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1042 | -1.0f, 3.0f, 4.0f, |
| 1043 | 1.0f, 3.0f, 4.0f, |
| 1044 | 1.0f, 2.0f, -4.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1045 | }, |
| 1046 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1047 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1048 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1049 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1050 | } |
| 1051 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1052 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1053 | LayerTestResult<T, 4> IgnorePaddingMaxPooling2dSize3TestCommon( |
| 1054 | armnn::IWorkloadFactory& workloadFactory, |
| 1055 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1056 | float qScale = 1.0f, |
| 1057 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1058 | { |
| 1059 | armnn::Pooling2dDescriptor descriptor; |
| 1060 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 1061 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 1062 | descriptor.m_StrideX = descriptor.m_StrideY = 1; |
| 1063 | descriptor.m_PadLeft = 1; |
| 1064 | descriptor.m_PadRight = 1; |
| 1065 | descriptor.m_PadTop = 1; |
| 1066 | descriptor.m_PadBottom = 1; |
| 1067 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 1068 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1069 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
| 1070 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1071 | |
| 1072 | // Set quantization parameters if the requested type is a quantized type. |
| 1073 | if(armnn::IsQuantizedType<T>()) |
| 1074 | { |
| 1075 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1076 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1077 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1078 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1079 | } |
| 1080 | |
| 1081 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1082 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1083 | -1.0f, -2.0f, 3.0f, 4.0f, |
| 1084 | -1.0f, -2.0f, 3.0f, 4.0f, |
| 1085 | 1.0f, 2.0f, -3.0f, -4.0f, |
| 1086 | 1.0f, 2.0f, -3.0f, -4.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1087 | }, |
| 1088 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1089 | |
| 1090 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1091 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1092 | -1.0f, 3.0f, 4.0f, 4.0f, |
| 1093 | 2.0f, 3.0f, 4.0f, 4.0f, |
| 1094 | 2.0f, 3.0f, 4.0f, 4.0f, |
| 1095 | 2.0f, 2.0f, 2.0f, -3.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1096 | }, |
| 1097 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1098 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1099 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1100 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1101 | } |
| 1102 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1103 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1104 | LayerTestResult<T, 4> IgnorePaddingSimpleAveragePooling2dTestCommon( |
| 1105 | armnn::IWorkloadFactory& workloadFactory, |
| 1106 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1107 | float qScale = 1.0f, |
| 1108 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1109 | { |
| 1110 | armnn::Pooling2dDescriptor descriptor; |
| 1111 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 1112 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; |
| 1113 | descriptor.m_StrideX = descriptor.m_StrideY = 2; |
| 1114 | descriptor.m_PadLeft = 1; |
| 1115 | descriptor.m_PadRight = 1; |
| 1116 | descriptor.m_PadTop = 1; |
| 1117 | descriptor.m_PadBottom = 1; |
| 1118 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 1119 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1120 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
| 1121 | armnn::TensorInfo outputTensorInfo({ 1, 1, 3, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1122 | |
| 1123 | // Set quantization parameters if the requested type is a quantized type. |
| 1124 | if(armnn::IsQuantizedType<T>()) |
| 1125 | { |
| 1126 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1127 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1128 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1129 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1130 | } |
| 1131 | |
| 1132 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1133 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1134 | 12.0f, 20.0f, 32.0f, 40.0f, |
| 1135 | 12.0f, 20.0f, 32.0f, 40.0f, |
| 1136 | 12.0f, 20.0f, 32.0f, 40.0f, |
| 1137 | 12.0f, 20.0f, 32.0f, 40.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1138 | }, |
| 1139 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1140 | |
| 1141 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1142 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1143 | 3.0f, 13.0f, 10.0f, |
| 1144 | 6.0f, 26.0f, 20.0f, |
| 1145 | 3.0f, 13.0f, 10.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1146 | }, |
| 1147 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1148 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1149 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1150 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1151 | } |
| 1152 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1153 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1154 | LayerTestResult<T, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon( |
| 1155 | armnn::IWorkloadFactory& workloadFactory, |
| 1156 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1157 | float qScale = 1.0f, |
| 1158 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1159 | { |
| 1160 | armnn::Pooling2dDescriptor descriptor; |
| 1161 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 1162 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 1163 | descriptor.m_StrideX = descriptor.m_StrideY = 2; |
| 1164 | descriptor.m_PadLeft = 0; |
| 1165 | descriptor.m_PadRight = 0; |
| 1166 | descriptor.m_PadTop = 0; |
| 1167 | descriptor.m_PadBottom = 0; |
| 1168 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 1169 | descriptor.m_OutputShapeRounding = armnn::OutputShapeRounding::Ceiling; |
| 1170 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1171 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4}, ArmnnType); |
| 1172 | armnn::TensorInfo outputTensorInfo({ 1, 1, 2, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1173 | |
| 1174 | // Set quantization parameters if the requested type is a quantized type. |
| 1175 | if(armnn::IsQuantizedType<T>()) |
| 1176 | { |
| 1177 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1178 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1179 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1180 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1181 | } |
| 1182 | |
| 1183 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1184 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1185 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 1186 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 1187 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 1188 | 1.0f, 2.0f, 3.0f, 4.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1189 | }, |
| 1190 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1191 | |
| 1192 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1193 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1194 | 2.0f, 3.5f, |
| 1195 | 2.0f, 3.5f |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1196 | }, |
| 1197 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1198 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1199 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1200 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1201 | } |
| 1202 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1203 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1204 | LayerTestResult<T, 4> IgnorePaddingAveragePooling2dSize3TestCommon( |
| 1205 | armnn::IWorkloadFactory& workloadFactory, |
| 1206 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1207 | float qScale = 1.0f, |
| 1208 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1209 | { |
| 1210 | armnn::Pooling2dDescriptor descriptor; |
| 1211 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 1212 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 1213 | descriptor.m_StrideX = descriptor.m_StrideY = 1; |
| 1214 | descriptor.m_PadLeft = 1; |
| 1215 | descriptor.m_PadRight = 1; |
| 1216 | descriptor.m_PadTop = 1; |
| 1217 | descriptor.m_PadBottom = 1; |
| 1218 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 1219 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1220 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
| 1221 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1222 | |
| 1223 | // Set quantization parameters if the requested type is a quantized type. |
| 1224 | if(armnn::IsQuantizedType<T>()) |
| 1225 | { |
| 1226 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1227 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1228 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1229 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1230 | } |
| 1231 | |
| 1232 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1233 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1234 | 9.0f, 27.0f, 18.0f, 36.0f, |
| 1235 | 18.0f, 9.0f, 18.0f, 9.0f, |
| 1236 | 27.0f, 18.0f, 9.0f, 27.0f, |
| 1237 | 9.0f, 27.0f, 9.0f, 18.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1238 | }, |
| 1239 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1240 | |
| 1241 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1242 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1243 | 7.0f, 11.0f, 13.0f, 9.0f, |
| 1244 | 12.0f, 17.0f, 19.0f, 13.0f, |
| 1245 | 12.0f, 16.0f, 16.0f, 10.0f, |
| 1246 | 9.0f, 11.0f, 12.0f, 7.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1247 | }, |
| 1248 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1249 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1250 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1251 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1252 | } |
| 1253 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1254 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1255 | LayerTestResult<T, 4> IgnorePaddingSimpleL2Pooling2dTestCommon( |
| 1256 | armnn::IWorkloadFactory& workloadFactory, |
| 1257 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1258 | float qScale = 1.0f, |
| 1259 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1260 | { |
| 1261 | armnn::Pooling2dDescriptor descriptor; |
| 1262 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 1263 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; |
| 1264 | descriptor.m_StrideX = descriptor.m_StrideY = 2; |
| 1265 | descriptor.m_PadLeft = 1; |
| 1266 | descriptor.m_PadRight = 1; |
| 1267 | descriptor.m_PadTop = 1; |
| 1268 | descriptor.m_PadBottom = 1; |
| 1269 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 1270 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1271 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
| 1272 | armnn::TensorInfo outputTensorInfo({ 1, 1, 3, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1273 | |
| 1274 | // Set quantization parameters if the requested type is a quantized type. |
| 1275 | if(armnn::IsQuantizedType<T>()) |
| 1276 | { |
| 1277 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1278 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1279 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1280 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1281 | } |
| 1282 | |
| 1283 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1284 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1285 | 2.0f, 4.0f, 8.0f, 16.0f, |
| 1286 | 4.0f, 2.0f, 2.0f, 4.0f, |
| 1287 | 8.0f, 2.0f, 4.0f, 2.0f, |
| 1288 | 16.0f, 2.0f, 2.0f, 8.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1289 | }, |
| 1290 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1291 | |
| 1292 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1293 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1294 | 1.0f, 4.4721f, 8.0f, |
| 1295 | 4.4721f, 2.6457f, 2.236f, |
| 1296 | 8.0f, 1.4142f, 4.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1297 | }, |
| 1298 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1299 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1300 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1301 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1302 | } |
| 1303 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1304 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1305 | LayerTestResult<T, 4> IgnorePaddingL2Pooling2dSize3TestCommon( |
| 1306 | armnn::IWorkloadFactory& workloadFactory, |
| 1307 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1308 | float qScale = 1.0f, |
| 1309 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1310 | { |
| 1311 | armnn::Pooling2dDescriptor descriptor; |
| 1312 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 1313 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 1314 | descriptor.m_StrideX = descriptor.m_StrideY = 1; |
| 1315 | descriptor.m_PadLeft = 1; |
| 1316 | descriptor.m_PadRight = 1; |
| 1317 | descriptor.m_PadTop = 1; |
| 1318 | descriptor.m_PadBottom = 1; |
| 1319 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 1320 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1321 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
| 1322 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1323 | |
| 1324 | // Set quantization parameters if the requested type is a quantized type. |
| 1325 | if(armnn::IsQuantizedType<T>()) |
| 1326 | { |
| 1327 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1328 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1329 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1330 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1331 | } |
| 1332 | |
| 1333 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1334 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1335 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 1336 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 1337 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 1338 | 1.0f, 2.0f, 3.0f, 4.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1339 | }, |
| 1340 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1341 | |
| 1342 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1343 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1344 | 1.0540f, 1.7638f, 2.5385f, 2.3570f, |
| 1345 | 1.2909f, 2.1602f, 3.1091f, 2.8867f, |
| 1346 | 1.2909f, 2.1602f, 3.1091f, 2.8867f, |
| 1347 | 1.0540f, 1.7638f, 2.5385f, 2.3570f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1348 | }, |
| 1349 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1350 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1351 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1352 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1353 | } |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1354 | |
| 1355 | } // anonymous namespace |
| 1356 | |
| 1357 | LayerTestResult<float, 4> SimpleMaxPooling2dSize2x2Stride2x2Test( |
| 1358 | armnn::IWorkloadFactory& workloadFactory, |
| 1359 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1360 | bool forceNoPadding) |
| 1361 | { |
| 1362 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::Float32>( |
| 1363 | workloadFactory, memoryManager, forceNoPadding); |
| 1364 | } |
| 1365 | |
| 1366 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Uint8Test( |
| 1367 | armnn::IWorkloadFactory& workloadFactory, |
| 1368 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1369 | bool forceNoPadding) |
| 1370 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1371 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1372 | workloadFactory, memoryManager, forceNoPadding, 3.0f, -5); |
| 1373 | } |
| 1374 | |
| 1375 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Int16Test( |
| 1376 | armnn::IWorkloadFactory& workloadFactory, |
| 1377 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1378 | bool forceNoPadding) |
| 1379 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1380 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1381 | workloadFactory, memoryManager, forceNoPadding); |
| 1382 | } |
| 1383 | |
| 1384 | LayerTestResult<float, 4> SimpleMaxPooling2dSize3x3Stride2x4Test( |
| 1385 | armnn::IWorkloadFactory& workloadFactory, |
| 1386 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1387 | bool forceNoPadding) |
| 1388 | { |
| 1389 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::Float32>( |
| 1390 | workloadFactory, memoryManager, forceNoPadding); |
| 1391 | } |
| 1392 | |
| 1393 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Uint8Test( |
| 1394 | armnn::IWorkloadFactory& workloadFactory, |
| 1395 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1396 | bool forceNoPadding) |
| 1397 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1398 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1399 | workloadFactory, memoryManager, forceNoPadding, 0.1f, 128); |
| 1400 | } |
| 1401 | |
| 1402 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Int16Test( |
| 1403 | armnn::IWorkloadFactory& workloadFactory, |
| 1404 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1405 | bool forceNoPadding) |
| 1406 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1407 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1408 | workloadFactory, memoryManager, forceNoPadding); |
| 1409 | } |
| 1410 | |
| 1411 | LayerTestResult<float, 4> SimpleMaxPooling2dTest( |
| 1412 | armnn::IWorkloadFactory& workloadFactory, |
| 1413 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1414 | const armnn::DataLayout dataLayout) |
| 1415 | { |
| 1416 | return SimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
| 1417 | } |
| 1418 | |
| 1419 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dUint8Test( |
| 1420 | armnn::IWorkloadFactory& workloadFactory, |
| 1421 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1422 | const armnn::DataLayout dataLayout) |
| 1423 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1424 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, dataLayout); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1425 | } |
| 1426 | |
| 1427 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dInt16Test( |
| 1428 | armnn::IWorkloadFactory& workloadFactory, |
| 1429 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1430 | const armnn::DataLayout dataLayout) |
| 1431 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1432 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, dataLayout); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1433 | } |
| 1434 | LayerTestResult<float, 4> IgnorePaddingSimpleMaxPooling2dTest( |
| 1435 | armnn::IWorkloadFactory& workloadFactory, |
| 1436 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1437 | { |
| 1438 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1439 | } |
| 1440 | |
| 1441 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleMaxPooling2dUint8Test( |
| 1442 | armnn::IWorkloadFactory& workloadFactory, |
| 1443 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1444 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1445 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1446 | workloadFactory, memoryManager, 1.0f, -5); |
| 1447 | } |
| 1448 | |
| 1449 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleMaxPooling2dInt16Test( |
| 1450 | armnn::IWorkloadFactory& workloadFactory, |
| 1451 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1452 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1453 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1454 | workloadFactory, memoryManager); |
| 1455 | } |
| 1456 | |
| 1457 | LayerTestResult<float, 4> IgnorePaddingMaxPooling2dSize3Test( |
| 1458 | armnn::IWorkloadFactory& workloadFactory, |
| 1459 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1460 | { |
| 1461 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1462 | } |
| 1463 | |
| 1464 | LayerTestResult<uint8_t, 4> IgnorePaddingMaxPooling2dSize3Uint8Test( |
| 1465 | armnn::IWorkloadFactory& workloadFactory, |
| 1466 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1467 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1468 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1469 | workloadFactory, memoryManager, 1.0f, -5); |
| 1470 | } |
| 1471 | |
| 1472 | LayerTestResult<int16_t, 4> IgnorePaddingMaxPooling2dSize3Int16Test( |
| 1473 | armnn::IWorkloadFactory& workloadFactory, |
| 1474 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1475 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1476 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1477 | workloadFactory, memoryManager); |
| 1478 | } |
| 1479 | |
| 1480 | LayerTestResult<float, 4> SimpleAveragePooling2dTest( |
| 1481 | armnn::IWorkloadFactory& workloadFactory, |
| 1482 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1483 | const armnn::DataLayout dataLayout) |
| 1484 | { |
| 1485 | return SimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
| 1486 | } |
| 1487 | |
| 1488 | LayerTestResult<uint8_t, 4> SimpleAveragePooling2dUint8Test( |
| 1489 | armnn::IWorkloadFactory& workloadFactory, |
| 1490 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1491 | const armnn::DataLayout dataLayout) |
| 1492 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1493 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1494 | workloadFactory, memoryManager, dataLayout, 0.5, -1); |
| 1495 | } |
| 1496 | |
| 1497 | LayerTestResult<int16_t, 4> SimpleAveragePooling2dInt16Test( |
| 1498 | armnn::IWorkloadFactory& workloadFactory, |
| 1499 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1500 | const armnn::DataLayout dataLayout) |
| 1501 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1502 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1503 | workloadFactory, memoryManager, dataLayout); |
| 1504 | } |
| 1505 | |
| 1506 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2Test( |
| 1507 | armnn::IWorkloadFactory& workloadFactory, |
| 1508 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1509 | bool forceNoPadding) |
| 1510 | { |
| 1511 | return IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon<armnn::DataType::Float32>( |
| 1512 | workloadFactory, memoryManager, forceNoPadding); |
| 1513 | } |
| 1514 | |
| 1515 | LayerTestResult<float, 4> LargeTensorsAveragePooling2dTest( |
| 1516 | armnn::IWorkloadFactory& workloadFactory, |
| 1517 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1518 | { |
| 1519 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1520 | } |
| 1521 | |
| 1522 | LayerTestResult<uint8_t, 4> LargeTensorsAveragePooling2dUint8Test( |
| 1523 | armnn::IWorkloadFactory& workloadFactory, |
| 1524 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1525 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1526 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1527 | workloadFactory, memoryManager, 0.5, -1); |
| 1528 | } |
| 1529 | |
| 1530 | LayerTestResult<int16_t, 4> LargeTensorsAveragePooling2dInt16Test( |
| 1531 | armnn::IWorkloadFactory& workloadFactory, |
| 1532 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1533 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1534 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1535 | workloadFactory, memoryManager); |
| 1536 | } |
| 1537 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dTest( |
| 1538 | armnn::IWorkloadFactory& workloadFactory, |
| 1539 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1540 | { |
| 1541 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1542 | } |
| 1543 | |
| 1544 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dUint8Test( |
| 1545 | armnn::IWorkloadFactory& workloadFactory, |
| 1546 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1547 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1548 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1549 | workloadFactory, memoryManager); |
| 1550 | } |
| 1551 | |
| 1552 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dInt16Test( |
| 1553 | armnn::IWorkloadFactory& workloadFactory, |
| 1554 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1555 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1556 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1557 | workloadFactory, memoryManager); |
| 1558 | } |
| 1559 | |
| 1560 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTest( |
| 1561 | armnn::IWorkloadFactory& workloadFactory, |
| 1562 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1563 | { |
| 1564 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::Float32>( |
| 1565 | workloadFactory, memoryManager); |
| 1566 | } |
| 1567 | |
| 1568 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test( |
| 1569 | armnn::IWorkloadFactory& workloadFactory, |
| 1570 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1571 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1572 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1573 | workloadFactory, memoryManager); |
| 1574 | } |
| 1575 | |
| 1576 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingInt16Test( |
| 1577 | armnn::IWorkloadFactory& workloadFactory, |
| 1578 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1579 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1580 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1581 | workloadFactory, memoryManager); |
| 1582 | } |
| 1583 | |
| 1584 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3Test( |
| 1585 | armnn::IWorkloadFactory& workloadFactory, |
| 1586 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1587 | { |
| 1588 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1589 | } |
| 1590 | |
| 1591 | LayerTestResult<uint8_t, 4> IgnorePaddingAveragePooling2dSize3Uint8Test( |
| 1592 | armnn::IWorkloadFactory& workloadFactory, |
| 1593 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1594 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1595 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1596 | workloadFactory, memoryManager); |
| 1597 | } |
| 1598 | |
| 1599 | LayerTestResult<int16_t, 4> IgnorePaddingAveragePooling2dSize3Int16Test( |
| 1600 | armnn::IWorkloadFactory& workloadFactory, |
| 1601 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1602 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1603 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1604 | workloadFactory, memoryManager); |
| 1605 | } |
| 1606 | |
| 1607 | LayerTestResult<float, 4> SimpleL2Pooling2dTest( |
| 1608 | armnn::IWorkloadFactory& workloadFactory, |
| 1609 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1610 | const armnn::DataLayout dataLayout) |
| 1611 | { |
| 1612 | return SimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
| 1613 | } |
| 1614 | |
| 1615 | LayerTestResult<uint8_t, 4> SimpleL2Pooling2dUint8Test( |
| 1616 | armnn::IWorkloadFactory& workloadFactory, |
| 1617 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1618 | const armnn::DataLayout dataLayout) |
| 1619 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1620 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, dataLayout); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1621 | } |
| 1622 | |
| 1623 | LayerTestResult<int16_t, 4> SimpleL2Pooling2dInt16Test( |
| 1624 | armnn::IWorkloadFactory& workloadFactory, |
| 1625 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1626 | const armnn::DataLayout dataLayout) |
| 1627 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1628 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, dataLayout); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1629 | } |
| 1630 | |
| 1631 | LayerTestResult<float, 4> L2Pooling2dSize3Stride1Test( |
| 1632 | armnn::IWorkloadFactory& workloadFactory, |
| 1633 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1634 | { |
| 1635 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1636 | } |
| 1637 | |
| 1638 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride1Uint8Test( |
| 1639 | armnn::IWorkloadFactory& workloadFactory, |
| 1640 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1641 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1642 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1643 | } |
| 1644 | |
| 1645 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride1Int16Test( |
| 1646 | armnn::IWorkloadFactory& workloadFactory, |
| 1647 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1648 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1649 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1650 | } |
| 1651 | |
| 1652 | LayerTestResult<float, 4> L2Pooling2dSize3Stride3Test( |
| 1653 | armnn::IWorkloadFactory& workloadFactory, |
| 1654 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1655 | { |
| 1656 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1657 | } |
| 1658 | |
| 1659 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride3Uint8Test( |
| 1660 | armnn::IWorkloadFactory& workloadFactory, |
| 1661 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1662 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1663 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1664 | } |
| 1665 | |
| 1666 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride3Int16Test( |
| 1667 | armnn::IWorkloadFactory& workloadFactory, |
| 1668 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1669 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1670 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1671 | } |
| 1672 | LayerTestResult<float, 4> L2Pooling2dSize3Stride4Test( |
| 1673 | armnn::IWorkloadFactory& workloadFactory, |
| 1674 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1675 | { |
| 1676 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1677 | } |
| 1678 | |
| 1679 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride4Uint8Test( |
| 1680 | armnn::IWorkloadFactory& workloadFactory, |
| 1681 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1682 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1683 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1684 | } |
| 1685 | |
| 1686 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride4Int16Test( |
| 1687 | armnn::IWorkloadFactory& workloadFactory, |
| 1688 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1689 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1690 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1691 | } |
| 1692 | |
| 1693 | LayerTestResult<float, 4> L2Pooling2dSize7Test( |
| 1694 | armnn::IWorkloadFactory& workloadFactory, |
| 1695 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1696 | { |
| 1697 | return L2Pooling2dSize7TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1698 | } |
| 1699 | |
| 1700 | LayerTestResult<uint8_t, 4> L2Pooling2dSize7Uint8Test( |
| 1701 | armnn::IWorkloadFactory& workloadFactory, |
| 1702 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1703 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1704 | return L2Pooling2dSize7TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1705 | } |
| 1706 | |
| 1707 | LayerTestResult<int16_t, 4> L2Pooling2dSize7Int16Test( |
| 1708 | armnn::IWorkloadFactory& workloadFactory, |
| 1709 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1710 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1711 | return L2Pooling2dSize7TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1712 | } |
| 1713 | |
| 1714 | LayerTestResult<float, 4> L2Pooling2dSize9Test( |
| 1715 | armnn::IWorkloadFactory& workloadFactory, |
| 1716 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1717 | { |
| 1718 | return L2Pooling2dSize9TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1719 | } |
| 1720 | |
| 1721 | LayerTestResult<uint8_t, 4> L2Pooling2dSize9Uint8Test( |
| 1722 | armnn::IWorkloadFactory& workloadFactory, |
| 1723 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1724 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1725 | return L2Pooling2dSize9TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1726 | } |
| 1727 | |
| 1728 | LayerTestResult<int16_t, 4> L2Pooling2dSize9Int16Test( |
| 1729 | armnn::IWorkloadFactory& workloadFactory, |
| 1730 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1731 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1732 | return L2Pooling2dSize9TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1733 | } |
| 1734 | LayerTestResult<float, 4> IgnorePaddingSimpleL2Pooling2dTest( |
| 1735 | armnn::IWorkloadFactory& workloadFactory, |
| 1736 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1737 | { |
| 1738 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1739 | } |
| 1740 | |
| 1741 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleL2Pooling2dUint8Test( |
| 1742 | armnn::IWorkloadFactory& workloadFactory, |
| 1743 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1744 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1745 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1746 | } |
| 1747 | |
| 1748 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleL2Pooling2dInt16Test( |
| 1749 | armnn::IWorkloadFactory& workloadFactory, |
| 1750 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1751 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1752 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1753 | } |
| 1754 | |
| 1755 | LayerTestResult<float, 4> IgnorePaddingL2Pooling2dSize3Test( |
| 1756 | armnn::IWorkloadFactory& workloadFactory, |
| 1757 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1758 | { |
| 1759 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1760 | } |
| 1761 | |
| 1762 | LayerTestResult<uint8_t, 4> IgnorePaddingL2Pooling2dSize3Uint8Test( |
| 1763 | armnn::IWorkloadFactory& workloadFactory, |
| 1764 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1765 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1766 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1767 | } |
| 1768 | |
| 1769 | LayerTestResult<int16_t, 4> IgnorePaddingL2Pooling2dSize3Int16Test( |
| 1770 | armnn::IWorkloadFactory& workloadFactory, |
| 1771 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1772 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1773 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1774 | } |
| 1775 | |
| 1776 | LayerTestResult<float, 4> AsymmetricNonSquarePooling2dTest( |
| 1777 | armnn::IWorkloadFactory& workloadFactory, |
| 1778 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1779 | { |
| 1780 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1781 | } |
| 1782 | |
| 1783 | LayerTestResult<uint8_t, 4> AsymmetricNonSquarePooling2dUint8Test( |
| 1784 | armnn::IWorkloadFactory& workloadFactory, |
| 1785 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1786 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1787 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1788 | } |
| 1789 | |
| 1790 | LayerTestResult<int16_t, 4> AsymmetricNonSquarePooling2dInt16Test( |
| 1791 | armnn::IWorkloadFactory& workloadFactory, |
| 1792 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1793 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1794 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1795 | } |
| 1796 | |
| 1797 | LayerTestResult<float, 4> ComparePooling2dTest( |
| 1798 | armnn::IWorkloadFactory& workloadFactory, |
| 1799 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1800 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1801 | armnn::PoolingAlgorithm poolingType) |
| 1802 | { |
| 1803 | return ComparePooling2dTestCommon<armnn::DataType::Float32>( |
| 1804 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
| 1805 | } |
| 1806 | |
| 1807 | LayerTestResult<uint8_t, 4> ComparePooling2dUint8Test( |
| 1808 | armnn::IWorkloadFactory& workloadFactory, |
| 1809 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1810 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1811 | armnn::PoolingAlgorithm poolingType) |
| 1812 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1813 | return ComparePooling2dTestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1814 | workloadFactory, memoryManager, refWorkloadFactory, poolingType, 0.1f, 128); |
| 1815 | } |
| 1816 | |
| 1817 | LayerTestResult<int16_t, 4> ComparePooling2dInt16Test( |
| 1818 | armnn::IWorkloadFactory& workloadFactory, |
| 1819 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1820 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1821 | armnn::PoolingAlgorithm poolingType) |
| 1822 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1823 | return ComparePooling2dTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1824 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
| 1825 | } |