telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1 | // |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 2 | // Copyright © 2017 Arm Ltd and Contributors. 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 | |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 77 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 78 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 79 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 80 | ARMNN_NO_DEPRECATE_WARN_END |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 81 | |
| 82 | armnn::Pooling2dQueueDescriptor queueDescriptor; |
| 83 | queueDescriptor.m_Parameters = descriptor; |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 84 | queueDescriptor.m_Parameters.m_DataLayout = dataLayout; |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 85 | |
| 86 | armnn::WorkloadInfo workloadInfo; |
| 87 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 88 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 89 | |
| 90 | // 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] | 91 | armnn::BackendId backend = workloadFactory.GetBackendId(); |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 92 | const size_t reasonIfUnsupportedMaxLen = 255; |
| 93 | char reasonIfUnsupported[reasonIfUnsupportedMaxLen+1]; |
David Beck | 79141b9 | 2018-10-23 16:09:36 +0100 | [diff] [blame] | 94 | result.supported = armnn::IsPooling2dSupported(backend, inputTensorInfo, outputTensorInfo, |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 95 | queueDescriptor.m_Parameters, |
| 96 | reasonIfUnsupported, reasonIfUnsupportedMaxLen); |
| 97 | if (!result.supported) |
| 98 | { |
| 99 | return result; |
| 100 | } |
| 101 | |
| 102 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePooling2d(queueDescriptor, workloadInfo); |
| 103 | |
| 104 | inputHandle->Allocate(); |
| 105 | outputHandle->Allocate(); |
| 106 | |
| 107 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 108 | |
| 109 | workload->Execute(); |
| 110 | |
| 111 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 112 | |
| 113 | result.outputExpected = outputExpected; |
| 114 | |
| 115 | return result; |
| 116 | } |
| 117 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 118 | // |
| 119 | // Tests max pooling with the following parameters: |
| 120 | // |
| 121 | // Pooling size: 3x3 |
| 122 | // Stride: (2,4) |
| 123 | // input size: 8x13 |
| 124 | // channels: 2 |
| 125 | // batch size: 2 |
| 126 | // |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 127 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 128 | LayerTestResult<T, 4> SimpleMaxPooling2dSize3x3Stride2x4TestCommon( |
| 129 | armnn::IWorkloadFactory& workloadFactory, |
| 130 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 131 | bool forceNoPadding, |
| 132 | float qScale = 1.0f, |
| 133 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 134 | { |
| 135 | armnn::Pooling2dDescriptor descriptor; |
| 136 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 137 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 138 | descriptor.m_StrideX = 2; |
| 139 | descriptor.m_StrideY = 4; |
| 140 | // forceNoPadding is mainly used for compatibility with ARM Compute. |
| 141 | // As of 16/05/2017, it errors if padX or padY are equal to or greater than the pool size. |
| 142 | descriptor.m_PadLeft = descriptor.m_PadRight = forceNoPadding ? 0 : 3; |
| 143 | descriptor.m_PadTop = descriptor.m_PadBottom = 0; |
| 144 | descriptor.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 145 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 146 | |
| 147 | unsigned int inputWidth = 8; |
| 148 | unsigned int inputHeight = 13; |
| 149 | unsigned int outputWidth = |
| 150 | (inputWidth + descriptor.m_PadLeft + descriptor.m_PadRight + descriptor.m_StrideX - descriptor.m_PoolWidth) / |
| 151 | descriptor.m_StrideX; |
| 152 | unsigned int outputHeight = |
| 153 | (inputHeight + descriptor.m_PadTop + descriptor.m_PadBottom + descriptor.m_StrideY - descriptor.m_PoolHeight) / |
| 154 | descriptor.m_StrideY; |
| 155 | unsigned int channels = 2; |
| 156 | unsigned int batchSize = 2; |
| 157 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 158 | armnn::TensorInfo inputTensorInfo({ batchSize, channels, inputHeight, inputWidth }, ArmnnType); |
| 159 | armnn::TensorInfo outputTensorInfo({ batchSize, channels, outputHeight, outputWidth }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 160 | |
| 161 | // Set quantization parameters if the requested type is a quantized type. |
| 162 | if(armnn::IsQuantizedType<T>()) |
| 163 | { |
| 164 | inputTensorInfo.SetQuantizationScale(qScale); |
| 165 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 166 | outputTensorInfo.SetQuantizationScale(qScale); |
| 167 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 168 | } |
| 169 | |
| 170 | std::vector<float> singleChannelData({ |
| 171 | 0.0f, 4.0f, 8.0f, 1.0f, 6.0f, 4.0f, 5.0f, 8.0f, |
| 172 | 1.0f, 1.0f, 6.0f, 0.0f, 3.0f, 7.0f, 4.0f, 7.0f, |
| 173 | 8.0f, 5.0f, 0.0f, 0.0f, 8.0f, 3.0f, 4.0f, 3.0f, |
| 174 | 8.0f, 2.0f, 5.0f, 4.0f, 1.0f, 9.0f, 2.0f, 0.0f, |
| 175 | 5.0f, 4.0f, 5.0f, 0.0f, 0.0f, 0.0f, 7.0f, 2.0f, |
| 176 | 1.0f, 2.0f, 6.0f, 2.0f, 7.0f, 9.0f, 5.0f, 2.0f, |
| 177 | 9.0f, 7.0f, 3.0f, 1.0f, 3.0f, 4.0f, 8.0f, 3.0f, |
| 178 | 1.0f, 0.0f, 0.0f, 5.0f, 5.0f, 4.0f, 2.0f, 0.0f, |
| 179 | 6.0f, 4.0f, 3.0f, 6.0f, 9.0f, 5.0f, 5.0f, 6.0f, |
| 180 | 8.0f, 7.0f, 9.0f, 6.0f, 1.0f, 4.0f, 1.0f, 9.0f, |
| 181 | 7.0f, 1.0f, 9.0f, 2.0f, 9.0f, 9.0f, 8.0f, 1.0f, |
| 182 | 4.0f, 4.0f, 5.0f, 9.0f, 2.0f, 6.0f, 6.0f, 4.0f, |
| 183 | 3.0f, 5.0f, 4.0f, 0.0f, 1.0f, 5.0f, 9.0f, 7.0f, |
| 184 | }); |
| 185 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 186 | // Constructs input data. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 187 | std::vector<float> inputData; |
| 188 | auto negator = [](float f) { return -f; }; |
| 189 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 190 | // 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] | 191 | inputData.insert(inputData.end(), singleChannelData.begin(), singleChannelData.end()); |
| 192 | std::transform(singleChannelData.begin(), singleChannelData.end(), std::back_inserter(inputData), negator); |
| 193 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 194 | // Second image (same as first image). |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 195 | inputData.insert(inputData.end(), singleChannelData.begin(), singleChannelData.end()); |
| 196 | std::transform(singleChannelData.begin(), singleChannelData.end(), std::back_inserter(inputData), negator); |
| 197 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 198 | auto input = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(inputData, qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 199 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 200 | // These were calculated manually. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 201 | auto shape(GetTensorShapeAsArray<4>(outputTensorInfo)); |
| 202 | boost::multi_array<T, 4> outputExpected(shape); |
| 203 | if (forceNoPadding) |
| 204 | { |
| 205 | outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 206 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 207 | 8.0f, 8.0f, 8.0f, |
| 208 | 9.0f, 7.0f, 9.0f, |
| 209 | 9.0f, 9.0f, 9.0f, |
| 210 | |
| 211 | 0.0f, 0.0f, -3.0f, |
| 212 | -1.0f, 0.0f, 0.0f, |
| 213 | -1.0f, -1.0f, -1.0f, |
| 214 | |
| 215 | 8.0f, 8.0f, 8.0f, |
| 216 | 9.0f, 7.0f, 9.0f, |
| 217 | 9.0f, 9.0f, 9.0f, |
| 218 | |
| 219 | 0.0f, 0.0f, -3.0f, |
| 220 | -1.0f, 0.0f, 0.0f, |
| 221 | -1.0f, -1.0f, -1.0f |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 222 | }, |
| 223 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 224 | } |
| 225 | else |
| 226 | { |
| 227 | outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 228 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 229 | 0.0f, 8.0f, 8.0f, 8.0f, 8.0f, 8.0f, |
| 230 | 0.0f, 9.0f, 7.0f, 9.0f, 9.0f, 3.0f, |
| 231 | 0.0f, 8.0f, 9.0f, 9.0f, 9.0f, 9.0f, |
| 232 | |
Finn Williams | 70f609b | 2019-11-06 16:54:53 +0000 | [diff] [blame] | 233 | 0.0f, 0.0f, 0.0f, 0.0f,-3.0f,-3.0f, |
| 234 | 0.0f,-1.0f, 0.0f, 0.0f, 0.0f,-2.0f, |
| 235 | 0.0f,-1.0f,-1.0f,-1.0f,-1.0f,-1.0f, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 236 | |
| 237 | 0.0f, 8.0f, 8.0f, 8.0f, 8.0f, 8.0f, |
| 238 | 0.0f, 9.0f, 7.0f, 9.0f, 9.0f, 3.0f, |
| 239 | 0.0f, 8.0f, 9.0f, 9.0f, 9.0f, 9.0f, |
| 240 | |
Finn Williams | 70f609b | 2019-11-06 16:54:53 +0000 | [diff] [blame] | 241 | 0.0f, 0.0f, 0.0f, 0.0f,-3.0f,-3.0f, |
| 242 | 0.0f,-1.0f, 0.0f, 0.0f, 0.0f,-2.0f, |
| 243 | 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] | 244 | }, |
| 245 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 246 | } |
| 247 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 248 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 249 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 250 | } |
| 251 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 252 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 253 | LayerTestResult<T, 4> SimpleMaxPooling2dTestCommon( |
| 254 | armnn::IWorkloadFactory& workloadFactory, |
| 255 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 256 | const armnn::DataLayout dataLayout = armnn::DataLayout::NCHW, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 257 | float qScale = 1.0f, |
| 258 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 259 | { |
| 260 | armnn::Pooling2dDescriptor descriptor; |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 261 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 262 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; |
| 263 | descriptor.m_StrideX = descriptor.m_StrideY = 2; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 264 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
James Conroy | 6948227 | 2018-10-19 10:41:35 +0100 | [diff] [blame] | 265 | descriptor.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 266 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 267 | armnn::TensorInfo inputTensorInfo = armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, ArmnnType); |
| 268 | armnn::TensorInfo outputTensorInfo = armnnUtils::GetTensorInfo(1, 2, 2, 2, dataLayout, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 269 | |
| 270 | // Set quantization parameters if the requested type is a quantized type. |
| 271 | if(armnn::IsQuantizedType<T>()) |
| 272 | { |
| 273 | inputTensorInfo.SetQuantizationScale(qScale); |
| 274 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 275 | outputTensorInfo.SetQuantizationScale(qScale); |
| 276 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 277 | } |
| 278 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 279 | std::vector<T> inputData( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 280 | QuantizedVector<T>({ |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 281 | 1.0f, 2.0f, 5.0f, 6.0f, |
| 282 | 3.0f, 4.0f, 7.0f, 8.0f, |
| 283 | 9.0f, 10.0f, 13.0f, 14.0f, |
| 284 | 11.0f, 12.0f, 15.0f, 16.0f, |
| 285 | |
| 286 | 17.0f, 18.0f, 21.0f, 22.0f, |
| 287 | 19.0f, 20.0f, 23.0f, 24.0f, |
| 288 | 25.0f, 26.0f, 29.0f, 30.0f, |
| 289 | 27.0f, 28.0f, 31.0f, 32.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 290 | }, |
| 291 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 292 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 293 | std::vector<T> outputData( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 294 | QuantizedVector<T>({ |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 295 | 4.0f, 8.0f, |
| 296 | 12.0f, 16.0f, |
| 297 | |
| 298 | 20.0f, 24.0f, |
| 299 | 28.0f, 32.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 300 | }, |
| 301 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 302 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 303 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 304 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 305 | { |
| 306 | std::vector<T> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 307 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(T)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 308 | inputData = tmp; |
| 309 | |
| 310 | std::vector<T> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 311 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(T)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 312 | outputData = tmp1; |
| 313 | } |
| 314 | |
| 315 | auto input = MakeTensor<T, 4>(inputTensorInfo, inputData); |
| 316 | |
| 317 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputData); |
| 318 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 319 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 320 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 321 | } |
| 322 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 323 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 324 | LayerTestResult<T, 4> SimpleAveragePooling2dTestCommon( |
| 325 | armnn::IWorkloadFactory& workloadFactory, |
| 326 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 327 | armnn::DataLayout dataLayout = armnn::DataLayout::NCHW, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 328 | float qScale = 1.0f, |
| 329 | int32_t qOffset = 0) |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 330 | { |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 331 | armnn::Pooling2dDescriptor descriptor; |
| 332 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 333 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; |
| 334 | descriptor.m_StrideX = descriptor.m_StrideY = 2; |
| 335 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 336 | descriptor.m_DataLayout = dataLayout; |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 337 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 338 | armnn::TensorInfo inputTensorInfo = armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, ArmnnType); |
| 339 | armnn::TensorInfo outputTensorInfo = armnnUtils::GetTensorInfo(1, 2, 2, 2, dataLayout, ArmnnType); |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 340 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 341 | // Set quantization parameters if the requested type is a quantized type. |
| 342 | if(armnn::IsQuantizedType<T>()) |
| 343 | { |
| 344 | inputTensorInfo.SetQuantizationScale(qScale); |
| 345 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 346 | outputTensorInfo.SetQuantizationScale(qScale); |
| 347 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 348 | } |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 349 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 350 | std::vector<T> inputData( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 351 | QuantizedVector<T>({ |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 352 | 2.0f, 2.0f, 6.0f, 6.0f, |
| 353 | 4.0f, 4.0f, 8.0f, 8.0f, |
| 354 | 10.0f, 12.0f, 14.0f, 16.0f, |
| 355 | 10.0f, 12.0f, 16.0f, 14.0f, |
| 356 | |
| 357 | 18.0f, 20.0f, 24.0f, 22.0f, |
| 358 | 20.0f, 18.0f, 22.0f, 24.0f, |
| 359 | 26.0f, 28.0f, 0.0f, 0.0f, |
| 360 | 26.0f, 28.0f, 0.0f, 0.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 361 | }, |
| 362 | qScale, qOffset)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 363 | |
| 364 | std::vector<T> outputData( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 365 | QuantizedVector<T>({ |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 366 | 3.0f, 7.0f, |
| 367 | 11.0f, 15.0f, |
| 368 | |
| 369 | 19.0f, 23.0f, |
| 370 | 27.0f, 0.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 371 | }, |
| 372 | qScale, qOffset)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 373 | |
| 374 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 375 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 376 | { |
| 377 | std::vector<T> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 378 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(T)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 379 | inputData = tmp; |
| 380 | |
| 381 | std::vector<T> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 382 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(T)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 383 | outputData = tmp1; |
| 384 | } |
| 385 | |
| 386 | auto input = MakeTensor<T, 4>(inputTensorInfo, inputData); |
| 387 | |
| 388 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputData); |
| 389 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 390 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 391 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
Francis Murtagh | 043d0d0 | 2018-10-05 14:08:48 +0100 | [diff] [blame] | 392 | } |
| 393 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 394 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 395 | LayerTestResult<T, 4> LargeTensorsAveragePooling2dTestCommon( |
| 396 | armnn::IWorkloadFactory& workloadFactory, |
| 397 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 398 | float qScale = 1.0f, |
| 399 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 400 | { |
| 401 | armnn::Pooling2dDescriptor descriptor; |
| 402 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 403 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 100; |
| 404 | descriptor.m_StrideX = descriptor.m_StrideY = 5; |
| 405 | descriptor.m_PadLeft = 50; |
| 406 | descriptor.m_PadRight = 50; |
| 407 | descriptor.m_PadTop = 50; |
| 408 | descriptor.m_PadBottom = 50; |
| 409 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 410 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 411 | armnn::TensorInfo inputTensorInfo({ 5, 3, 52, 60 }, ArmnnType); |
| 412 | armnn::TensorInfo outputTensorInfo({ 5, 3, 11, 13 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 413 | |
| 414 | // Set quantization parameters if the requested type is a quantized type. |
| 415 | if(armnn::IsQuantizedType<T>()) |
| 416 | { |
| 417 | inputTensorInfo.SetQuantizationScale(qScale); |
| 418 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 419 | outputTensorInfo.SetQuantizationScale(qScale); |
| 420 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 421 | } |
| 422 | |
| 423 | std::vector<T> inputVec; |
| 424 | |
| 425 | for (unsigned int i = 0 ; i < inputTensorInfo.GetShape().GetNumElements(); ++i) |
| 426 | { |
| 427 | inputVec.push_back(1); |
| 428 | } |
| 429 | |
| 430 | auto input = MakeTensor<T, 4>(inputTensorInfo, inputVec); |
| 431 | |
| 432 | std::vector<T> outputVec; |
| 433 | |
| 434 | for (unsigned int i = 0 ; i < outputTensorInfo.GetShape().GetNumElements(); ++i) |
| 435 | { |
| 436 | outputVec.push_back(1); |
| 437 | } |
| 438 | |
| 439 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputVec); |
| 440 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 441 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 442 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 443 | } |
| 444 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 445 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 446 | LayerTestResult<T, 4> SimpleL2Pooling2dTestCommon( |
| 447 | armnn::IWorkloadFactory& workloadFactory, |
| 448 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 449 | armnn::DataLayout dataLayout = armnn::DataLayout::NCHW, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 450 | float qScale = 1.0f, |
| 451 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 452 | { |
| 453 | armnn::Pooling2dDescriptor descriptor; |
| 454 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 455 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; |
| 456 | descriptor.m_StrideX = descriptor.m_StrideY = 2; |
| 457 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 458 | descriptor.m_DataLayout = dataLayout; |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 459 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 460 | armnn::TensorInfo inputTensorInfo = armnnUtils::GetTensorInfo(1, 2, 4, 4, dataLayout, ArmnnType); |
| 461 | armnn::TensorInfo outputTensorInfo = armnnUtils::GetTensorInfo(1, 2, 2, 2, dataLayout, ArmnnType); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 462 | |
| 463 | std::vector<T> inputData( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 464 | QuantizedVector<T>({ |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 465 | 1.0f, 7.0f, 5.0f, 5.0f, |
| 466 | 1.0f, 7.0f, 5.0f, 5.0f, |
| 467 | 3.0f, 3.0f, 1.0f, 1.0f, |
| 468 | 3.0f, 3.0f, 1.0f, 1.0f, |
| 469 | |
| 470 | 1.0f, 7.0f, 0.0f, 0.0f, |
| 471 | 1.0f, 7.0f, 2.0f, 0.0f, |
| 472 | 0.0f, 2.0f, 1.0f, 1.0f, |
| 473 | 0.0f, 0.0f, 1.0f, 1.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 474 | }, |
| 475 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 476 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 477 | std::vector<T> outputData( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 478 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 479 | 5.0f, 5.0f, |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 480 | 3.0f, 1.0f, |
| 481 | |
| 482 | 5.0f, 1.0f, |
| 483 | 1.0f, 1.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 484 | }, |
| 485 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 486 | |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 487 | const armnn::PermutationVector NCHWToNHWC = { 0, 3, 1, 2 }; |
Matthew Bentham | 8800c00 | 2018-11-19 13:19:28 +0000 | [diff] [blame] | 488 | if (dataLayout == armnn::DataLayout::NHWC) |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 489 | { |
| 490 | std::vector<T> tmp(inputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 491 | armnnUtils::Permute(inputTensorInfo.GetShape(), NCHWToNHWC, inputData.data(), tmp.data(), sizeof(T)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 492 | inputData = tmp; |
| 493 | |
| 494 | std::vector<T> tmp1(outputData.size()); |
Matteo Martincigh | d5b9e64 | 2019-01-04 18:01:21 +0000 | [diff] [blame] | 495 | armnnUtils::Permute(outputTensorInfo.GetShape(), NCHWToNHWC, outputData.data(), tmp1.data(), sizeof(T)); |
James Conroy | 45a9b77 | 2018-10-31 11:47:53 +0000 | [diff] [blame] | 496 | outputData = tmp1; |
| 497 | } |
| 498 | |
| 499 | auto input = MakeTensor<T, 4>(inputTensorInfo, inputData); |
| 500 | |
| 501 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputData); |
| 502 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 503 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 504 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 505 | } |
| 506 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 507 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 508 | LayerTestResult<T, 4> L2Pooling2dSize3Stride1TestCommon( |
| 509 | armnn::IWorkloadFactory& workloadFactory, |
| 510 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 511 | float qScale = 1.0f, |
| 512 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 513 | { |
| 514 | armnn::Pooling2dDescriptor descriptor; |
| 515 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 516 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 517 | descriptor.m_StrideX = descriptor.m_StrideY = 1; |
| 518 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 519 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 520 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 521 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 522 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 523 | 2.0f, 1.0f, 5.0f, 2.0f, |
| 524 | 1.0f, 2.0f, 2.0f, 1.0f, |
| 525 | 5.0f, 4.0f, 1.0f, 5.0f, |
| 526 | 2.0f, 1.0f, 5.0f, 2.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 527 | }, |
| 528 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 529 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 530 | armnn::TensorInfo outputTensorInfo({ 1, 1, 2, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 531 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 532 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 533 | 3.0f, 3.0f, |
| 534 | 3.0f, 3.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 535 | }, |
| 536 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 537 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 538 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 539 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 540 | } |
| 541 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 542 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 543 | LayerTestResult<T, 4> L2Pooling2dSize3Stride3TestCommon( |
| 544 | armnn::IWorkloadFactory& workloadFactory, |
| 545 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 546 | float qScale = 1.0f, |
| 547 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 548 | { |
| 549 | armnn::Pooling2dDescriptor descriptor; |
| 550 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 551 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 552 | descriptor.m_StrideX = descriptor.m_StrideY = 3; |
| 553 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 554 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 555 | armnn::TensorInfo inputTensorInfo({ 1, 1, 9, 9 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 556 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 557 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 558 | 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, |
| 559 | 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, |
| 560 | 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, |
| 561 | 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, |
| 562 | 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, |
| 563 | 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, |
| 564 | 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, |
| 565 | 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, |
| 566 | 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] | 567 | }, |
| 568 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 569 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 570 | armnn::TensorInfo outputTensorInfo({ 1, 1, 3, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 571 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 572 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 573 | 3.0f, 3.0f, 3.0f, |
| 574 | 3.0f, 3.0f, 3.0f, |
| 575 | 3.0f, 3.0f, 3.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 576 | }, |
| 577 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 578 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 579 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 580 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 581 | } |
| 582 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 583 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 584 | LayerTestResult<T, 4> L2Pooling2dSize3Stride4TestCommon( |
| 585 | armnn::IWorkloadFactory& workloadFactory, |
| 586 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 587 | float qScale = 1.0f, |
| 588 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 589 | { |
| 590 | armnn::Pooling2dDescriptor descriptor; |
| 591 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 592 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 593 | descriptor.m_StrideX = descriptor.m_StrideY = 4; |
| 594 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 595 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 596 | armnn::TensorInfo inputTensorInfo({ 1, 1, 7, 7 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 597 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 598 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 599 | 2.0f, 1.0f, 5.0f, 0.0f, 2.0f, 1.0f, 5.0f, |
| 600 | 1.0f, 2.0f, 2.0f, 0.0f, 1.0f, 2.0f, 2.0f, |
| 601 | 5.0f, 4.0f, 1.0f, 0.0f, 5.0f, 4.0f, 1.0f, |
| 602 | 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, |
| 603 | 2.0f, 1.0f, 5.0f, 0.0f, 2.0f, 1.0f, 5.0f, |
| 604 | 1.0f, 2.0f, 2.0f, 0.0f, 1.0f, 2.0f, 2.0f, |
| 605 | 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] | 606 | }, |
| 607 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 608 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 609 | armnn::TensorInfo outputTensorInfo({ 1, 1, 2, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 610 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 611 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 612 | 3.0f, 3.0f, |
| 613 | 3.0f, 3.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 614 | }, |
| 615 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 616 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 617 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 618 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 619 | } |
| 620 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 621 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 622 | LayerTestResult<T, 4> L2Pooling2dSize7TestCommon( |
| 623 | armnn::IWorkloadFactory& workloadFactory, |
| 624 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 625 | float qScale = 1.0f, |
| 626 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 627 | { |
| 628 | armnn::Pooling2dDescriptor descriptor; |
| 629 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 630 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 7; |
| 631 | descriptor.m_StrideX = descriptor.m_StrideY = 7; |
| 632 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 633 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 634 | armnn::TensorInfo inputTensorInfo({ 1, 1, 7, 7 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 635 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 636 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 637 | 1.0f, 0.0f, 2.0f, 0.0f, 3.0f, 0.0f, 4.0f, |
| 638 | 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, |
| 639 | 0.0f, 5.0f, 0.0f, 6.0f, 0.0f, 7.0f, 0.0f, |
| 640 | 8.0f, 0.0f, 9.0f, 0.0f, 10.0f, 0.0f, 5.0f, |
| 641 | 0.0f, 5.0f, 0.0f, 2.0f, 0.0f, 1.0f, 1.0f, |
| 642 | 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, |
| 643 | 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] | 644 | }, |
| 645 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 646 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 647 | armnn::TensorInfo outputTensorInfo({ 1, 1, 1, 1 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 648 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 649 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 650 | 3.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 651 | }, |
| 652 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 653 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 654 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 655 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 656 | } |
| 657 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 658 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 659 | LayerTestResult<T, 4> L2Pooling2dSize9TestCommon( |
| 660 | armnn::IWorkloadFactory& workloadFactory, |
| 661 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 662 | float qScale = 1.0f, |
| 663 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 664 | { |
| 665 | armnn::Pooling2dDescriptor descriptor; |
| 666 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 667 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 9; |
| 668 | descriptor.m_StrideX = descriptor.m_StrideY = 9; |
| 669 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 670 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 671 | armnn::TensorInfo inputTensorInfo({ 1, 1, 9, 9 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 672 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 673 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 674 | 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, |
| 675 | 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, |
| 676 | 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, |
| 677 | 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, |
| 678 | 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, |
| 679 | 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, 5.0f, 4.0f, 1.0f, |
| 680 | 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, 2.0f, 1.0f, 5.0f, |
| 681 | 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, 1.0f, 2.0f, 2.0f, |
| 682 | 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] | 683 | }, |
| 684 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 685 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 686 | armnn::TensorInfo outputTensorInfo({ 1, 1, 1, 1 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 687 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 688 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 689 | 3.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 690 | }, |
| 691 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 692 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 693 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 694 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 695 | } |
| 696 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 697 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 698 | LayerTestResult<T, 4> AsymmetricNonSquarePooling2dTestCommon( |
| 699 | armnn::IWorkloadFactory& workloadFactory, |
| 700 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 701 | float qScale = 1.0f, |
| 702 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 703 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 704 | armnn::TensorInfo inputTensorInfo({ 1, 1, 1, 3 }, ArmnnType); |
| 705 | armnn::TensorInfo outputTensorInfo({ 1, 1, 2, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 706 | |
| 707 | armnn::Pooling2dDescriptor descriptor; |
| 708 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 709 | descriptor.m_PoolWidth = 2; |
| 710 | descriptor.m_PoolHeight = 3; |
| 711 | descriptor.m_StrideX = 2; |
| 712 | descriptor.m_StrideY = 1; |
| 713 | descriptor.m_PadLeft = 2; |
| 714 | descriptor.m_PadRight = 0; |
| 715 | descriptor.m_PadTop = 1; |
| 716 | descriptor.m_PadBottom = 2; |
| 717 | descriptor.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 718 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 719 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 720 | // Construct input data. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 721 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 722 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 723 | 1.0f, 3.0f, 4.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 724 | }, |
| 725 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 726 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 727 | // These were calculated manually. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 728 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 729 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 730 | 0.0f, 3.0f, 0.0f, 3.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 731 | }, |
| 732 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 733 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 734 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 735 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 736 | } |
| 737 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 738 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 739 | LayerTestResult<T, 4> ComparePooling2dTestCommon( |
| 740 | armnn::IWorkloadFactory& workloadFactory, |
| 741 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 742 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 743 | armnn::PoolingAlgorithm poolingType, |
| 744 | float qScale = 1.0f, |
| 745 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 746 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 747 | IgnoreUnused(memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 748 | const unsigned int inputWidth = 16; |
| 749 | const unsigned int inputHeight = 32; |
| 750 | const unsigned int channelCount = 2; |
| 751 | const unsigned int batchSize = 5; |
| 752 | |
| 753 | const unsigned int poolSize = 3; |
| 754 | const unsigned int strideX = 2; |
| 755 | const unsigned int strideY = 4; |
| 756 | const unsigned int padX = 0; |
| 757 | const unsigned int padY = 0; |
| 758 | |
| 759 | const unsigned int outputWidth = (inputWidth + 2 * padX + strideX - poolSize) / strideX; |
| 760 | const unsigned int outputHeight = (inputHeight + 2 * padY + strideY - poolSize) / strideY; |
| 761 | |
| 762 | armnn::TensorInfo inputTensorInfo; |
| 763 | armnn::TensorInfo outputTensorInfo; |
| 764 | |
| 765 | unsigned int inputShape[] = { batchSize, channelCount, inputHeight, inputWidth }; |
| 766 | unsigned int outputShape[] = { batchSize, channelCount, outputHeight, outputWidth }; |
| 767 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 768 | inputTensorInfo = armnn::TensorInfo(4, inputShape, ArmnnType); |
| 769 | outputTensorInfo = armnn::TensorInfo(4, outputShape, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 770 | |
| 771 | // Set quantization parameters if the requested type is a quantized type. |
| 772 | if(armnn::IsQuantizedType<T>()) |
| 773 | { |
| 774 | inputTensorInfo.SetQuantizationScale(qScale); |
| 775 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 776 | outputTensorInfo.SetQuantizationScale(qScale); |
| 777 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 778 | } |
| 779 | |
| 780 | boost::multi_array<T, 4> input = MakeRandomTensor<T, 4>(inputTensorInfo, 81715); |
| 781 | |
| 782 | LayerTestResult<T, 4> comparisonResult(outputTensorInfo); |
| 783 | |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 784 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 785 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 786 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 787 | ARMNN_NO_DEPRECATE_WARN_END |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 788 | |
| 789 | armnn::Pooling2dQueueDescriptor data; |
| 790 | armnn::WorkloadInfo info; |
| 791 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 792 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 793 | data.m_Parameters.m_PoolType = poolingType; |
| 794 | data.m_Parameters.m_PoolWidth = poolSize; |
| 795 | data.m_Parameters.m_PoolHeight = poolSize; |
| 796 | data.m_Parameters.m_StrideX = strideX; |
| 797 | data.m_Parameters.m_StrideY = strideY; |
| 798 | data.m_Parameters.m_PadLeft = padX; |
| 799 | data.m_Parameters.m_PadRight = padX; |
| 800 | data.m_Parameters.m_PadTop = padY; |
| 801 | data.m_Parameters.m_PadBottom = padY; |
| 802 | data.m_Parameters.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 803 | |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 804 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 805 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
| 806 | std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo); |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 807 | ARMNN_NO_DEPRECATE_WARN_END |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 808 | |
| 809 | // 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] | 810 | armnn::BackendId backend = workloadFactory.GetBackendId(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 811 | const size_t reasonIfUnsupportedMaxLen = 255; |
| 812 | char reasonIfUnsupported[reasonIfUnsupportedMaxLen+1]; |
David Beck | 79141b9 | 2018-10-23 16:09:36 +0100 | [diff] [blame] | 813 | comparisonResult.supported = armnn::IsPooling2dSupported(backend, inputTensorInfo, outputTensorInfo, |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 814 | data.m_Parameters, |
| 815 | reasonIfUnsupported, reasonIfUnsupportedMaxLen); |
| 816 | if (!comparisonResult.supported) |
| 817 | { |
| 818 | return comparisonResult; |
| 819 | } |
| 820 | |
| 821 | armnn::Pooling2dQueueDescriptor refData = data; |
| 822 | armnn::WorkloadInfo refInfo = info; |
| 823 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get()); |
| 824 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 825 | |
| 826 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreatePooling2d(data, info); |
| 827 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreatePooling2d(refData, refInfo); |
| 828 | |
| 829 | outputHandleRef->Allocate(); |
| 830 | inputHandleRef->Allocate(); |
| 831 | inputHandle->Allocate(); |
| 832 | outputHandle->Allocate(); |
| 833 | |
| 834 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 835 | CopyDataToITensorHandle(inputHandleRef.get(), &input[0][0][0][0]); |
| 836 | |
| 837 | workload->Execute(); |
| 838 | workloadRef->Execute(); |
| 839 | |
| 840 | CopyDataFromITensorHandle(&comparisonResult.output[0][0][0][0], outputHandle.get()); |
| 841 | CopyDataFromITensorHandle(&comparisonResult.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 842 | |
| 843 | return comparisonResult; |
| 844 | } |
| 845 | |
| 846 | // |
| 847 | // Tests max pooling with the following parameters: |
| 848 | // |
| 849 | // Pooling size: 2x2 |
| 850 | // Stride: (2,2) |
| 851 | // input size: 4x4 |
| 852 | // channels: 1 |
| 853 | // batch size: 1 |
| 854 | // |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 855 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 856 | LayerTestResult<T, 4> SimpleMaxPooling2dSize2x2Stride2x2TestCommon( |
| 857 | armnn::IWorkloadFactory& workloadFactory, |
| 858 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 859 | bool forceNoPadding, |
| 860 | float qScale = 1.0f, |
| 861 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 862 | { |
| 863 | armnn::Pooling2dDescriptor descriptor; |
| 864 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 865 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; |
| 866 | descriptor.m_StrideX = 2; |
| 867 | descriptor.m_StrideY = 2; |
| 868 | descriptor.m_PadLeft = descriptor.m_PadRight = forceNoPadding ? 0 : 3; |
| 869 | descriptor.m_PadTop = descriptor.m_PadBottom = 0; |
| 870 | descriptor.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 871 | descriptor.m_PaddingMethod = armnn::PaddingMethod::Exclude; |
| 872 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 873 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 874 | unsigned int inputWidth = 4; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 875 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 876 | unsigned int inputHeight = 4; |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 877 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 878 | unsigned int outputWidth = |
| 879 | (inputWidth + descriptor.m_PadLeft + descriptor.m_PadRight + descriptor.m_StrideX - descriptor.m_PoolWidth) / |
| 880 | descriptor.m_StrideX; |
| 881 | unsigned int outputHeight = |
| 882 | (inputHeight + descriptor.m_PadTop + descriptor.m_PadBottom + descriptor.m_StrideY - descriptor.m_PoolHeight) / |
| 883 | descriptor.m_StrideY; |
| 884 | unsigned int channels = 1; |
| 885 | unsigned int batchSize = 1; |
| 886 | |
| 887 | std::vector<float> inputData = { |
| 888 | 510.0f, 222.0f, 780.0f, 654.0f, |
| 889 | 141.0f, 276.0f, 15.0f, 546.0f, |
| 890 | 303.0f, 618.0f, 582.0f, 339.0f, |
| 891 | 438.0f, 564.0f, 573.0f, 402.0f |
| 892 | }; |
| 893 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 894 | // 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] | 895 | std::vector<float> expectedOutputDataWithPadding = { |
| 896 | 0.0f, 510.0f, 780.0f, 654.0f, 0.0f, |
| 897 | 0.0f, 438.0f, 618.0f, 402.0f, 0.0f |
| 898 | }; |
| 899 | |
| 900 | std::vector<float> expectedOutputDataNoPadding = { |
| 901 | 510.0f, 780.0f, |
| 902 | 618.0f, 582.0f |
| 903 | }; |
| 904 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 905 | armnn::TensorInfo inputTensorInfo({ batchSize, channels, inputHeight, inputWidth }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 906 | |
| 907 | // Scale and offset should match input - we're just calculating maximum values. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 908 | armnn::TensorInfo outputTensorInfo({ batchSize, channels, outputHeight, outputWidth }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 909 | |
| 910 | // Set quantization parameters if the requested type is a quantized type. |
| 911 | if(armnn::IsQuantizedType<T>()) |
| 912 | { |
| 913 | inputTensorInfo.SetQuantizationScale(qScale); |
| 914 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 915 | outputTensorInfo.SetQuantizationScale(qScale); |
| 916 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 917 | } |
| 918 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 919 | auto input = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(inputData, qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 920 | |
| 921 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 922 | forceNoPadding ? QuantizedVector<T>(expectedOutputDataNoPadding, qScale, qOffset) : |
| 923 | QuantizedVector<T>(expectedOutputDataWithPadding, qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 924 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 925 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 926 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 927 | } |
| 928 | |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 929 | // |
| 930 | // Tests max pooling with the following parameters: |
| 931 | // |
| 932 | // Pooling size: 3x2 |
| 933 | // Stride: (2,2) |
| 934 | // input size: 3x2 |
| 935 | // channels: 1 |
| 936 | // batch size: 1 |
| 937 | // |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 938 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 939 | LayerTestResult<T, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon( |
| 940 | armnn::IWorkloadFactory& workloadFactory, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 941 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 942 | bool forceNoPadding, |
| 943 | float qScale = 1.0f, |
| 944 | int32_t qOffset = 0) |
| 945 | { |
| 946 | armnn::Pooling2dDescriptor descriptor; |
| 947 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 948 | descriptor.m_PoolWidth = 3; |
| 949 | descriptor.m_PoolHeight = 2; |
| 950 | descriptor.m_StrideX = 2; |
| 951 | descriptor.m_StrideY = 2; |
| 952 | descriptor.m_PadLeft = (forceNoPadding) ? 0 : 1; |
| 953 | descriptor.m_PadRight = descriptor.m_PadLeft; |
| 954 | descriptor.m_PadTop = 0; |
| 955 | descriptor.m_PadBottom = 0; |
| 956 | descriptor.m_OutputShapeRounding = armnn::OutputShapeRounding::Floor; |
| 957 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 958 | |
| 959 | unsigned int inputWidth = 3; |
| 960 | unsigned int inputHeight = 2; |
| 961 | unsigned int outputWidth = |
| 962 | (inputWidth + descriptor.m_PadLeft + descriptor.m_PadRight + descriptor.m_StrideX - descriptor.m_PoolWidth) / |
| 963 | descriptor.m_StrideX; |
| 964 | unsigned int outputHeight = |
| 965 | (inputHeight + descriptor.m_PadTop + descriptor.m_PadBottom + descriptor.m_StrideY - descriptor.m_PoolHeight) / |
| 966 | descriptor.m_StrideY; |
| 967 | unsigned int channels = 1; |
| 968 | unsigned int batchSize = 1; |
| 969 | |
| 970 | std::vector<float> inputData = { |
| 971 | 3.0f, 6.0f, 9.0f, |
| 972 | 12.0f, 15.0f, 18.0f, |
| 973 | }; |
| 974 | |
| 975 | std::vector<float> expectedOutputDataWithPadding = { |
| 976 | 6.0f, 8.0f, |
| 977 | }; |
| 978 | |
| 979 | std::vector<float> expectedOutputDataNoPadding = { |
| 980 | 10.5f, |
| 981 | }; |
| 982 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 983 | armnn::TensorInfo inputTensorInfo({ batchSize, channels, inputHeight, inputWidth }, ArmnnType); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 984 | |
| 985 | // Scale and offset should match input - we're just calculating average values. |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 986 | armnn::TensorInfo outputTensorInfo({ batchSize, channels, outputHeight, outputWidth }, ArmnnType); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 987 | |
| 988 | // Set quantization parameters if the requested type is a quantized type. |
| 989 | if(armnn::IsQuantizedType<T>()) |
| 990 | { |
| 991 | inputTensorInfo.SetQuantizationScale(qScale); |
| 992 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 993 | outputTensorInfo.SetQuantizationScale(qScale); |
| 994 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 995 | } |
| 996 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 997 | auto input = MakeTensor<T, 4>(inputTensorInfo, QuantizedVector<T>(inputData, qScale, qOffset)); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 998 | |
| 999 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1000 | forceNoPadding ? QuantizedVector<T>(expectedOutputDataNoPadding, qScale, qOffset) : |
| 1001 | QuantizedVector<T>(expectedOutputDataWithPadding, qScale, qOffset)); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 1002 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1003 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1004 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
surmeh01 | bceff2f | 2018-03-29 16:29:27 +0100 | [diff] [blame] | 1005 | } |
| 1006 | |
| 1007 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1008 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1009 | LayerTestResult<T, 4> IgnorePaddingSimpleMaxPooling2dTestCommon( |
| 1010 | armnn::IWorkloadFactory& workloadFactory, |
| 1011 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1012 | float qScale = 1.0f, |
| 1013 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1014 | { |
| 1015 | armnn::Pooling2dDescriptor descriptor; |
| 1016 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 1017 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; |
| 1018 | descriptor.m_StrideX = descriptor.m_StrideY = 2; |
| 1019 | descriptor.m_PadLeft = 1; |
| 1020 | descriptor.m_PadRight = 1; |
| 1021 | descriptor.m_PadTop = 1; |
| 1022 | descriptor.m_PadBottom = 1; |
| 1023 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 1024 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1025 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
| 1026 | armnn::TensorInfo outputTensorInfo({ 1, 1, 3, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1027 | |
| 1028 | // Set quantization parameters if the requested type is a quantized type. |
| 1029 | if(armnn::IsQuantizedType<T>()) |
| 1030 | { |
| 1031 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1032 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1033 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1034 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1035 | } |
| 1036 | |
| 1037 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1038 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1039 | -1.0f, -2.0f, 3.0f, 4.0f, |
| 1040 | -1.0f, -2.0f, 3.0f, 4.0f, |
| 1041 | 1.0f, 2.0f, -3.0f, -4.0f, |
| 1042 | 1.0f, 2.0f, -3.0f, -4.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1043 | }, |
| 1044 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1045 | |
| 1046 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1047 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1048 | -1.0f, 3.0f, 4.0f, |
| 1049 | 1.0f, 3.0f, 4.0f, |
| 1050 | 1.0f, 2.0f, -4.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1051 | }, |
| 1052 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1053 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1054 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1055 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1056 | } |
| 1057 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1058 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1059 | LayerTestResult<T, 4> IgnorePaddingMaxPooling2dSize3TestCommon( |
| 1060 | armnn::IWorkloadFactory& workloadFactory, |
| 1061 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1062 | float qScale = 1.0f, |
| 1063 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1064 | { |
| 1065 | armnn::Pooling2dDescriptor descriptor; |
| 1066 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Max; |
| 1067 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 1068 | descriptor.m_StrideX = descriptor.m_StrideY = 1; |
| 1069 | descriptor.m_PadLeft = 1; |
| 1070 | descriptor.m_PadRight = 1; |
| 1071 | descriptor.m_PadTop = 1; |
| 1072 | descriptor.m_PadBottom = 1; |
| 1073 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 1074 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1075 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
| 1076 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1077 | |
| 1078 | // Set quantization parameters if the requested type is a quantized type. |
| 1079 | if(armnn::IsQuantizedType<T>()) |
| 1080 | { |
| 1081 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1082 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1083 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1084 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1085 | } |
| 1086 | |
| 1087 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1088 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1089 | -1.0f, -2.0f, 3.0f, 4.0f, |
| 1090 | -1.0f, -2.0f, 3.0f, 4.0f, |
| 1091 | 1.0f, 2.0f, -3.0f, -4.0f, |
| 1092 | 1.0f, 2.0f, -3.0f, -4.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1093 | }, |
| 1094 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1095 | |
| 1096 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1097 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1098 | -1.0f, 3.0f, 4.0f, 4.0f, |
| 1099 | 2.0f, 3.0f, 4.0f, 4.0f, |
| 1100 | 2.0f, 3.0f, 4.0f, 4.0f, |
| 1101 | 2.0f, 2.0f, 2.0f, -3.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1102 | }, |
| 1103 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1104 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1105 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1106 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1107 | } |
| 1108 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1109 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1110 | LayerTestResult<T, 4> IgnorePaddingSimpleAveragePooling2dTestCommon( |
| 1111 | armnn::IWorkloadFactory& workloadFactory, |
| 1112 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1113 | float qScale = 1.0f, |
| 1114 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1115 | { |
| 1116 | armnn::Pooling2dDescriptor descriptor; |
| 1117 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 1118 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; |
| 1119 | descriptor.m_StrideX = descriptor.m_StrideY = 2; |
| 1120 | descriptor.m_PadLeft = 1; |
| 1121 | descriptor.m_PadRight = 1; |
| 1122 | descriptor.m_PadTop = 1; |
| 1123 | descriptor.m_PadBottom = 1; |
| 1124 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 1125 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1126 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
| 1127 | armnn::TensorInfo outputTensorInfo({ 1, 1, 3, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1128 | |
| 1129 | // Set quantization parameters if the requested type is a quantized type. |
| 1130 | if(armnn::IsQuantizedType<T>()) |
| 1131 | { |
| 1132 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1133 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1134 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1135 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1136 | } |
| 1137 | |
| 1138 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1139 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1140 | 12.0f, 20.0f, 32.0f, 40.0f, |
| 1141 | 12.0f, 20.0f, 32.0f, 40.0f, |
| 1142 | 12.0f, 20.0f, 32.0f, 40.0f, |
| 1143 | 12.0f, 20.0f, 32.0f, 40.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1144 | }, |
| 1145 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1146 | |
| 1147 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1148 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1149 | 3.0f, 13.0f, 10.0f, |
| 1150 | 6.0f, 26.0f, 20.0f, |
| 1151 | 3.0f, 13.0f, 10.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1152 | }, |
| 1153 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1154 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1155 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1156 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1157 | } |
| 1158 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1159 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1160 | LayerTestResult<T, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon( |
| 1161 | armnn::IWorkloadFactory& workloadFactory, |
| 1162 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1163 | float qScale = 1.0f, |
| 1164 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1165 | { |
| 1166 | armnn::Pooling2dDescriptor descriptor; |
| 1167 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 1168 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 1169 | descriptor.m_StrideX = descriptor.m_StrideY = 2; |
| 1170 | descriptor.m_PadLeft = 0; |
| 1171 | descriptor.m_PadRight = 0; |
| 1172 | descriptor.m_PadTop = 0; |
| 1173 | descriptor.m_PadBottom = 0; |
| 1174 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 1175 | descriptor.m_OutputShapeRounding = armnn::OutputShapeRounding::Ceiling; |
| 1176 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1177 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4}, ArmnnType); |
| 1178 | armnn::TensorInfo outputTensorInfo({ 1, 1, 2, 2 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1179 | |
| 1180 | // Set quantization parameters if the requested type is a quantized type. |
| 1181 | if(armnn::IsQuantizedType<T>()) |
| 1182 | { |
| 1183 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1184 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1185 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1186 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1187 | } |
| 1188 | |
| 1189 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1190 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1191 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 1192 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 1193 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 1194 | 1.0f, 2.0f, 3.0f, 4.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1195 | }, |
| 1196 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1197 | |
| 1198 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1199 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1200 | 2.0f, 3.5f, |
| 1201 | 2.0f, 3.5f |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1202 | }, |
| 1203 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1204 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1205 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1206 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1207 | } |
| 1208 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1209 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1210 | LayerTestResult<T, 4> IgnorePaddingAveragePooling2dSize3TestCommon( |
| 1211 | armnn::IWorkloadFactory& workloadFactory, |
| 1212 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1213 | float qScale = 1.0f, |
| 1214 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1215 | { |
| 1216 | armnn::Pooling2dDescriptor descriptor; |
| 1217 | descriptor.m_PoolType = armnn::PoolingAlgorithm::Average; |
| 1218 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 1219 | descriptor.m_StrideX = descriptor.m_StrideY = 1; |
| 1220 | descriptor.m_PadLeft = 1; |
| 1221 | descriptor.m_PadRight = 1; |
| 1222 | descriptor.m_PadTop = 1; |
| 1223 | descriptor.m_PadBottom = 1; |
| 1224 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 1225 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1226 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
| 1227 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1228 | |
| 1229 | // Set quantization parameters if the requested type is a quantized type. |
| 1230 | if(armnn::IsQuantizedType<T>()) |
| 1231 | { |
| 1232 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1233 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1234 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1235 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1236 | } |
| 1237 | |
| 1238 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1239 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1240 | 9.0f, 27.0f, 18.0f, 36.0f, |
| 1241 | 18.0f, 9.0f, 18.0f, 9.0f, |
| 1242 | 27.0f, 18.0f, 9.0f, 27.0f, |
| 1243 | 9.0f, 27.0f, 9.0f, 18.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1244 | }, |
| 1245 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1246 | |
| 1247 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1248 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1249 | 7.0f, 11.0f, 13.0f, 9.0f, |
| 1250 | 12.0f, 17.0f, 19.0f, 13.0f, |
| 1251 | 12.0f, 16.0f, 16.0f, 10.0f, |
| 1252 | 9.0f, 11.0f, 12.0f, 7.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1253 | }, |
| 1254 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1255 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1256 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1257 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1258 | } |
| 1259 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1260 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1261 | LayerTestResult<T, 4> IgnorePaddingSimpleL2Pooling2dTestCommon( |
| 1262 | armnn::IWorkloadFactory& workloadFactory, |
| 1263 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1264 | float qScale = 1.0f, |
| 1265 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1266 | { |
| 1267 | armnn::Pooling2dDescriptor descriptor; |
| 1268 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 1269 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 2; |
| 1270 | descriptor.m_StrideX = descriptor.m_StrideY = 2; |
| 1271 | descriptor.m_PadLeft = 1; |
| 1272 | descriptor.m_PadRight = 1; |
| 1273 | descriptor.m_PadTop = 1; |
| 1274 | descriptor.m_PadBottom = 1; |
| 1275 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 1276 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1277 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
| 1278 | armnn::TensorInfo outputTensorInfo({ 1, 1, 3, 3 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1279 | |
| 1280 | // Set quantization parameters if the requested type is a quantized type. |
| 1281 | if(armnn::IsQuantizedType<T>()) |
| 1282 | { |
| 1283 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1284 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1285 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1286 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1287 | } |
| 1288 | |
| 1289 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1290 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1291 | 2.0f, 4.0f, 8.0f, 16.0f, |
| 1292 | 4.0f, 2.0f, 2.0f, 4.0f, |
| 1293 | 8.0f, 2.0f, 4.0f, 2.0f, |
| 1294 | 16.0f, 2.0f, 2.0f, 8.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1295 | }, |
| 1296 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1297 | |
| 1298 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1299 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1300 | 1.0f, 4.4721f, 8.0f, |
| 1301 | 4.4721f, 2.6457f, 2.236f, |
| 1302 | 8.0f, 1.4142f, 4.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1303 | }, |
| 1304 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1305 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1306 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1307 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1308 | } |
| 1309 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1310 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1311 | LayerTestResult<T, 4> IgnorePaddingL2Pooling2dSize3TestCommon( |
| 1312 | armnn::IWorkloadFactory& workloadFactory, |
| 1313 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1314 | float qScale = 1.0f, |
| 1315 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1316 | { |
| 1317 | armnn::Pooling2dDescriptor descriptor; |
| 1318 | descriptor.m_PoolType = armnn::PoolingAlgorithm::L2; |
| 1319 | descriptor.m_PoolWidth = descriptor.m_PoolHeight = 3; |
| 1320 | descriptor.m_StrideX = descriptor.m_StrideY = 1; |
| 1321 | descriptor.m_PadLeft = 1; |
| 1322 | descriptor.m_PadRight = 1; |
| 1323 | descriptor.m_PadTop = 1; |
| 1324 | descriptor.m_PadBottom = 1; |
| 1325 | descriptor.m_PaddingMethod = armnn::PaddingMethod::IgnoreValue; |
| 1326 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1327 | armnn::TensorInfo inputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
| 1328 | armnn::TensorInfo outputTensorInfo({ 1, 1, 4, 4 }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1329 | |
| 1330 | // Set quantization parameters if the requested type is a quantized type. |
| 1331 | if(armnn::IsQuantizedType<T>()) |
| 1332 | { |
| 1333 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1334 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1335 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1336 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1337 | } |
| 1338 | |
| 1339 | auto input = MakeTensor<T, 4>(inputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1340 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1341 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 1342 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 1343 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 1344 | 1.0f, 2.0f, 3.0f, 4.0f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1345 | }, |
| 1346 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1347 | |
| 1348 | auto outputExpected = MakeTensor<T, 4>(outputTensorInfo, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1349 | QuantizedVector<T>({ |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1350 | 1.0540f, 1.7638f, 2.5385f, 2.3570f, |
| 1351 | 1.2909f, 2.1602f, 3.1091f, 2.8867f, |
| 1352 | 1.2909f, 2.1602f, 3.1091f, 2.8867f, |
| 1353 | 1.0540f, 1.7638f, 2.5385f, 2.3570f, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1354 | }, |
| 1355 | qScale, qOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1356 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1357 | return SimplePooling2dTestImpl<ArmnnType>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1358 | workloadFactory, memoryManager, descriptor, qScale, qOffset, input, outputExpected); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1359 | } |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1360 | |
| 1361 | } // anonymous namespace |
| 1362 | |
| 1363 | LayerTestResult<float, 4> SimpleMaxPooling2dSize2x2Stride2x2Test( |
| 1364 | armnn::IWorkloadFactory& workloadFactory, |
| 1365 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1366 | bool forceNoPadding) |
| 1367 | { |
| 1368 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::Float32>( |
| 1369 | workloadFactory, memoryManager, forceNoPadding); |
| 1370 | } |
| 1371 | |
| 1372 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Uint8Test( |
| 1373 | armnn::IWorkloadFactory& workloadFactory, |
| 1374 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1375 | bool forceNoPadding) |
| 1376 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1377 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1378 | workloadFactory, memoryManager, forceNoPadding, 3.0f, -5); |
| 1379 | } |
| 1380 | |
| 1381 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize2x2Stride2x2Int16Test( |
| 1382 | armnn::IWorkloadFactory& workloadFactory, |
| 1383 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1384 | bool forceNoPadding) |
| 1385 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1386 | return SimpleMaxPooling2dSize2x2Stride2x2TestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1387 | workloadFactory, memoryManager, forceNoPadding); |
| 1388 | } |
| 1389 | |
| 1390 | LayerTestResult<float, 4> SimpleMaxPooling2dSize3x3Stride2x4Test( |
| 1391 | armnn::IWorkloadFactory& workloadFactory, |
| 1392 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1393 | bool forceNoPadding) |
| 1394 | { |
| 1395 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::Float32>( |
| 1396 | workloadFactory, memoryManager, forceNoPadding); |
| 1397 | } |
| 1398 | |
| 1399 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Uint8Test( |
| 1400 | armnn::IWorkloadFactory& workloadFactory, |
| 1401 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1402 | bool forceNoPadding) |
| 1403 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1404 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1405 | workloadFactory, memoryManager, forceNoPadding, 0.1f, 128); |
| 1406 | } |
| 1407 | |
| 1408 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dSize3x3Stride2x4Int16Test( |
| 1409 | armnn::IWorkloadFactory& workloadFactory, |
| 1410 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1411 | bool forceNoPadding) |
| 1412 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1413 | return SimpleMaxPooling2dSize3x3Stride2x4TestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1414 | workloadFactory, memoryManager, forceNoPadding); |
| 1415 | } |
| 1416 | |
| 1417 | LayerTestResult<float, 4> SimpleMaxPooling2dTest( |
| 1418 | armnn::IWorkloadFactory& workloadFactory, |
| 1419 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1420 | const armnn::DataLayout dataLayout) |
| 1421 | { |
| 1422 | return SimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
| 1423 | } |
| 1424 | |
| 1425 | LayerTestResult<uint8_t, 4> SimpleMaxPooling2dUint8Test( |
| 1426 | armnn::IWorkloadFactory& workloadFactory, |
| 1427 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1428 | const armnn::DataLayout dataLayout) |
| 1429 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1430 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, dataLayout); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1431 | } |
| 1432 | |
| 1433 | LayerTestResult<int16_t, 4> SimpleMaxPooling2dInt16Test( |
| 1434 | armnn::IWorkloadFactory& workloadFactory, |
| 1435 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1436 | const armnn::DataLayout dataLayout) |
| 1437 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1438 | return SimpleMaxPooling2dTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, dataLayout); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1439 | } |
| 1440 | LayerTestResult<float, 4> IgnorePaddingSimpleMaxPooling2dTest( |
| 1441 | armnn::IWorkloadFactory& workloadFactory, |
| 1442 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1443 | { |
| 1444 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1445 | } |
| 1446 | |
| 1447 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleMaxPooling2dUint8Test( |
| 1448 | armnn::IWorkloadFactory& workloadFactory, |
| 1449 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1450 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1451 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1452 | workloadFactory, memoryManager, 1.0f, -5); |
| 1453 | } |
| 1454 | |
| 1455 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleMaxPooling2dInt16Test( |
| 1456 | armnn::IWorkloadFactory& workloadFactory, |
| 1457 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1458 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1459 | return IgnorePaddingSimpleMaxPooling2dTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1460 | workloadFactory, memoryManager); |
| 1461 | } |
| 1462 | |
| 1463 | LayerTestResult<float, 4> IgnorePaddingMaxPooling2dSize3Test( |
| 1464 | armnn::IWorkloadFactory& workloadFactory, |
| 1465 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1466 | { |
| 1467 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1468 | } |
| 1469 | |
| 1470 | LayerTestResult<uint8_t, 4> IgnorePaddingMaxPooling2dSize3Uint8Test( |
| 1471 | armnn::IWorkloadFactory& workloadFactory, |
| 1472 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1473 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1474 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1475 | workloadFactory, memoryManager, 1.0f, -5); |
| 1476 | } |
| 1477 | |
| 1478 | LayerTestResult<int16_t, 4> IgnorePaddingMaxPooling2dSize3Int16Test( |
| 1479 | armnn::IWorkloadFactory& workloadFactory, |
| 1480 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1481 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1482 | return IgnorePaddingMaxPooling2dSize3TestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1483 | workloadFactory, memoryManager); |
| 1484 | } |
| 1485 | |
| 1486 | LayerTestResult<float, 4> SimpleAveragePooling2dTest( |
| 1487 | armnn::IWorkloadFactory& workloadFactory, |
| 1488 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1489 | const armnn::DataLayout dataLayout) |
| 1490 | { |
| 1491 | return SimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
| 1492 | } |
| 1493 | |
| 1494 | LayerTestResult<uint8_t, 4> SimpleAveragePooling2dUint8Test( |
| 1495 | armnn::IWorkloadFactory& workloadFactory, |
| 1496 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1497 | const armnn::DataLayout dataLayout) |
| 1498 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1499 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1500 | workloadFactory, memoryManager, dataLayout, 0.5, -1); |
| 1501 | } |
| 1502 | |
| 1503 | LayerTestResult<int16_t, 4> SimpleAveragePooling2dInt16Test( |
| 1504 | armnn::IWorkloadFactory& workloadFactory, |
| 1505 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1506 | const armnn::DataLayout dataLayout) |
| 1507 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1508 | return SimpleAveragePooling2dTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1509 | workloadFactory, memoryManager, dataLayout); |
| 1510 | } |
| 1511 | |
| 1512 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3x2Stride2x2Test( |
| 1513 | armnn::IWorkloadFactory& workloadFactory, |
| 1514 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1515 | bool forceNoPadding) |
| 1516 | { |
| 1517 | return IgnorePaddingAveragePooling2dSize3x2Stride2x2TestCommon<armnn::DataType::Float32>( |
| 1518 | workloadFactory, memoryManager, forceNoPadding); |
| 1519 | } |
| 1520 | |
| 1521 | LayerTestResult<float, 4> LargeTensorsAveragePooling2dTest( |
| 1522 | armnn::IWorkloadFactory& workloadFactory, |
| 1523 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1524 | { |
| 1525 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1526 | } |
| 1527 | |
| 1528 | LayerTestResult<uint8_t, 4> LargeTensorsAveragePooling2dUint8Test( |
| 1529 | armnn::IWorkloadFactory& workloadFactory, |
| 1530 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1531 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1532 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1533 | workloadFactory, memoryManager, 0.5, -1); |
| 1534 | } |
| 1535 | |
| 1536 | LayerTestResult<int16_t, 4> LargeTensorsAveragePooling2dInt16Test( |
| 1537 | armnn::IWorkloadFactory& workloadFactory, |
| 1538 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1539 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1540 | return LargeTensorsAveragePooling2dTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1541 | workloadFactory, memoryManager); |
| 1542 | } |
| 1543 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dTest( |
| 1544 | armnn::IWorkloadFactory& workloadFactory, |
| 1545 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1546 | { |
| 1547 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1548 | } |
| 1549 | |
| 1550 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dUint8Test( |
| 1551 | armnn::IWorkloadFactory& workloadFactory, |
| 1552 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1553 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1554 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1555 | workloadFactory, memoryManager); |
| 1556 | } |
| 1557 | |
| 1558 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dInt16Test( |
| 1559 | armnn::IWorkloadFactory& workloadFactory, |
| 1560 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1561 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1562 | return IgnorePaddingSimpleAveragePooling2dTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1563 | workloadFactory, memoryManager); |
| 1564 | } |
| 1565 | |
| 1566 | LayerTestResult<float, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingTest( |
| 1567 | armnn::IWorkloadFactory& workloadFactory, |
| 1568 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1569 | { |
| 1570 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::Float32>( |
| 1571 | workloadFactory, memoryManager); |
| 1572 | } |
| 1573 | |
| 1574 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingUint8Test( |
| 1575 | armnn::IWorkloadFactory& workloadFactory, |
| 1576 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1577 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1578 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1579 | workloadFactory, memoryManager); |
| 1580 | } |
| 1581 | |
| 1582 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleAveragePooling2dNoPaddingInt16Test( |
| 1583 | armnn::IWorkloadFactory& workloadFactory, |
| 1584 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1585 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1586 | return IgnorePaddingSimpleAveragePooling2dNoPaddingTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1587 | workloadFactory, memoryManager); |
| 1588 | } |
| 1589 | |
| 1590 | LayerTestResult<float, 4> IgnorePaddingAveragePooling2dSize3Test( |
| 1591 | armnn::IWorkloadFactory& workloadFactory, |
| 1592 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1593 | { |
| 1594 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1595 | } |
| 1596 | |
| 1597 | LayerTestResult<uint8_t, 4> IgnorePaddingAveragePooling2dSize3Uint8Test( |
| 1598 | armnn::IWorkloadFactory& workloadFactory, |
| 1599 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1600 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1601 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1602 | workloadFactory, memoryManager); |
| 1603 | } |
| 1604 | |
| 1605 | LayerTestResult<int16_t, 4> IgnorePaddingAveragePooling2dSize3Int16Test( |
| 1606 | armnn::IWorkloadFactory& workloadFactory, |
| 1607 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1608 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1609 | return IgnorePaddingAveragePooling2dSize3TestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1610 | workloadFactory, memoryManager); |
| 1611 | } |
| 1612 | |
| 1613 | LayerTestResult<float, 4> SimpleL2Pooling2dTest( |
| 1614 | armnn::IWorkloadFactory& workloadFactory, |
| 1615 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1616 | const armnn::DataLayout dataLayout) |
| 1617 | { |
| 1618 | return SimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, dataLayout); |
| 1619 | } |
| 1620 | |
| 1621 | LayerTestResult<uint8_t, 4> SimpleL2Pooling2dUint8Test( |
| 1622 | armnn::IWorkloadFactory& workloadFactory, |
| 1623 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1624 | const armnn::DataLayout dataLayout) |
| 1625 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1626 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, dataLayout); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1627 | } |
| 1628 | |
| 1629 | LayerTestResult<int16_t, 4> SimpleL2Pooling2dInt16Test( |
| 1630 | armnn::IWorkloadFactory& workloadFactory, |
| 1631 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1632 | const armnn::DataLayout dataLayout) |
| 1633 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1634 | return SimpleL2Pooling2dTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, dataLayout); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1635 | } |
| 1636 | |
| 1637 | LayerTestResult<float, 4> L2Pooling2dSize3Stride1Test( |
| 1638 | armnn::IWorkloadFactory& workloadFactory, |
| 1639 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1640 | { |
| 1641 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1642 | } |
| 1643 | |
| 1644 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride1Uint8Test( |
| 1645 | armnn::IWorkloadFactory& workloadFactory, |
| 1646 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1647 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1648 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1649 | } |
| 1650 | |
| 1651 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride1Int16Test( |
| 1652 | armnn::IWorkloadFactory& workloadFactory, |
| 1653 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1654 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1655 | return L2Pooling2dSize3Stride1TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1656 | } |
| 1657 | |
| 1658 | LayerTestResult<float, 4> L2Pooling2dSize3Stride3Test( |
| 1659 | armnn::IWorkloadFactory& workloadFactory, |
| 1660 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1661 | { |
| 1662 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1663 | } |
| 1664 | |
| 1665 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride3Uint8Test( |
| 1666 | armnn::IWorkloadFactory& workloadFactory, |
| 1667 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1668 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1669 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1670 | } |
| 1671 | |
| 1672 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride3Int16Test( |
| 1673 | armnn::IWorkloadFactory& workloadFactory, |
| 1674 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1675 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1676 | return L2Pooling2dSize3Stride3TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1677 | } |
| 1678 | LayerTestResult<float, 4> L2Pooling2dSize3Stride4Test( |
| 1679 | armnn::IWorkloadFactory& workloadFactory, |
| 1680 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1681 | { |
| 1682 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1683 | } |
| 1684 | |
| 1685 | LayerTestResult<uint8_t, 4> L2Pooling2dSize3Stride4Uint8Test( |
| 1686 | armnn::IWorkloadFactory& workloadFactory, |
| 1687 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1688 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1689 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1690 | } |
| 1691 | |
| 1692 | LayerTestResult<int16_t, 4> L2Pooling2dSize3Stride4Int16Test( |
| 1693 | armnn::IWorkloadFactory& workloadFactory, |
| 1694 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1695 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1696 | return L2Pooling2dSize3Stride4TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1697 | } |
| 1698 | |
| 1699 | LayerTestResult<float, 4> L2Pooling2dSize7Test( |
| 1700 | armnn::IWorkloadFactory& workloadFactory, |
| 1701 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1702 | { |
| 1703 | return L2Pooling2dSize7TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1704 | } |
| 1705 | |
| 1706 | LayerTestResult<uint8_t, 4> L2Pooling2dSize7Uint8Test( |
| 1707 | armnn::IWorkloadFactory& workloadFactory, |
| 1708 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1709 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1710 | return L2Pooling2dSize7TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1711 | } |
| 1712 | |
| 1713 | LayerTestResult<int16_t, 4> L2Pooling2dSize7Int16Test( |
| 1714 | armnn::IWorkloadFactory& workloadFactory, |
| 1715 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1716 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1717 | return L2Pooling2dSize7TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1718 | } |
| 1719 | |
| 1720 | LayerTestResult<float, 4> L2Pooling2dSize9Test( |
| 1721 | armnn::IWorkloadFactory& workloadFactory, |
| 1722 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1723 | { |
| 1724 | return L2Pooling2dSize9TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1725 | } |
| 1726 | |
| 1727 | LayerTestResult<uint8_t, 4> L2Pooling2dSize9Uint8Test( |
| 1728 | armnn::IWorkloadFactory& workloadFactory, |
| 1729 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1730 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1731 | return L2Pooling2dSize9TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1732 | } |
| 1733 | |
| 1734 | LayerTestResult<int16_t, 4> L2Pooling2dSize9Int16Test( |
| 1735 | armnn::IWorkloadFactory& workloadFactory, |
| 1736 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1737 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1738 | return L2Pooling2dSize9TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1739 | } |
| 1740 | LayerTestResult<float, 4> IgnorePaddingSimpleL2Pooling2dTest( |
| 1741 | armnn::IWorkloadFactory& workloadFactory, |
| 1742 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1743 | { |
| 1744 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1745 | } |
| 1746 | |
| 1747 | LayerTestResult<uint8_t, 4> IgnorePaddingSimpleL2Pooling2dUint8Test( |
| 1748 | armnn::IWorkloadFactory& workloadFactory, |
| 1749 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1750 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1751 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1752 | } |
| 1753 | |
| 1754 | LayerTestResult<int16_t, 4> IgnorePaddingSimpleL2Pooling2dInt16Test( |
| 1755 | armnn::IWorkloadFactory& workloadFactory, |
| 1756 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1757 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1758 | return IgnorePaddingSimpleL2Pooling2dTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1759 | } |
| 1760 | |
| 1761 | LayerTestResult<float, 4> IgnorePaddingL2Pooling2dSize3Test( |
| 1762 | armnn::IWorkloadFactory& workloadFactory, |
| 1763 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1764 | { |
| 1765 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1766 | } |
| 1767 | |
| 1768 | LayerTestResult<uint8_t, 4> IgnorePaddingL2Pooling2dSize3Uint8Test( |
| 1769 | armnn::IWorkloadFactory& workloadFactory, |
| 1770 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1771 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1772 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1773 | } |
| 1774 | |
| 1775 | LayerTestResult<int16_t, 4> IgnorePaddingL2Pooling2dSize3Int16Test( |
| 1776 | armnn::IWorkloadFactory& workloadFactory, |
| 1777 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1778 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1779 | return IgnorePaddingL2Pooling2dSize3TestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1780 | } |
| 1781 | |
| 1782 | LayerTestResult<float, 4> AsymmetricNonSquarePooling2dTest( |
| 1783 | armnn::IWorkloadFactory& workloadFactory, |
| 1784 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1785 | { |
| 1786 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
| 1787 | } |
| 1788 | |
| 1789 | LayerTestResult<uint8_t, 4> AsymmetricNonSquarePooling2dUint8Test( |
| 1790 | armnn::IWorkloadFactory& workloadFactory, |
| 1791 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1792 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1793 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1794 | } |
| 1795 | |
| 1796 | LayerTestResult<int16_t, 4> AsymmetricNonSquarePooling2dInt16Test( |
| 1797 | armnn::IWorkloadFactory& workloadFactory, |
| 1798 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1799 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1800 | return AsymmetricNonSquarePooling2dTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1801 | } |
| 1802 | |
| 1803 | LayerTestResult<float, 4> ComparePooling2dTest( |
| 1804 | armnn::IWorkloadFactory& workloadFactory, |
| 1805 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1806 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1807 | armnn::PoolingAlgorithm poolingType) |
| 1808 | { |
| 1809 | return ComparePooling2dTestCommon<armnn::DataType::Float32>( |
| 1810 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
| 1811 | } |
| 1812 | |
| 1813 | LayerTestResult<uint8_t, 4> ComparePooling2dUint8Test( |
| 1814 | armnn::IWorkloadFactory& workloadFactory, |
| 1815 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1816 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1817 | armnn::PoolingAlgorithm poolingType) |
| 1818 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1819 | return ComparePooling2dTestCommon<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1820 | workloadFactory, memoryManager, refWorkloadFactory, poolingType, 0.1f, 128); |
| 1821 | } |
| 1822 | |
| 1823 | LayerTestResult<int16_t, 4> ComparePooling2dInt16Test( |
| 1824 | armnn::IWorkloadFactory& workloadFactory, |
| 1825 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1826 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1827 | armnn::PoolingAlgorithm poolingType) |
| 1828 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1829 | return ComparePooling2dTestCommon<armnn::DataType::QSymmS16>( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1830 | workloadFactory, memoryManager, refWorkloadFactory, poolingType); |
| 1831 | } |