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 "ActivationTestImpl.hpp" |
| 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> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 10 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 11 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 12 | #include <backendsCommon/test/ActivationFixture.hpp> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 13 | #include <backendsCommon/test/TensorCopyUtils.hpp> |
| 14 | #include <backendsCommon/test/WorkloadTestUtils.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 15 | |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 16 | #include <test/TensorHelpers.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 17 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 18 | #include <boost/multi_array.hpp> |
| 19 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 20 | #include <algorithm> |
| 21 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 22 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 23 | LayerTestResult<T, 4> BoundedReLuTestCommon( |
| 24 | armnn::IWorkloadFactory& workloadFactory, |
| 25 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 26 | float upperBound, |
| 27 | float lowerBound, |
| 28 | float inputScale, |
| 29 | int32_t inputOffset, |
| 30 | float outputScale, |
| 31 | int32_t outputOffset, |
| 32 | const std::vector<T>& inputData, |
| 33 | const std::vector<T>& outputExpectedData, |
| 34 | unsigned int inputWidth, |
| 35 | unsigned int inputHeight, |
| 36 | unsigned int inputChannels, |
| 37 | unsigned int inputBatchSize) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 38 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 39 | IgnoreUnused(memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 40 | unsigned int outputWidth = inputWidth; |
| 41 | unsigned int outputHeight = inputHeight; |
| 42 | unsigned int outputChannels = inputChannels; |
| 43 | unsigned int outputBatchSize = inputBatchSize; |
| 44 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 45 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 46 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 47 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 48 | |
| 49 | if(armnn::IsQuantizedType<T>()) |
| 50 | { |
| 51 | inputTensorInfo.SetQuantizationScale(inputScale); |
| 52 | inputTensorInfo.SetQuantizationOffset(inputOffset); |
| 53 | |
| 54 | outputTensorInfo.SetQuantizationScale(outputScale); |
| 55 | outputTensorInfo.SetQuantizationOffset(outputOffset); |
| 56 | } |
| 57 | |
| 58 | LayerTestResult<T, 4> result(inputTensorInfo); |
| 59 | |
| 60 | auto input = MakeTensor<T, 4>(inputTensorInfo, inputData); |
| 61 | |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 62 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 63 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 64 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 65 | ARMNN_NO_DEPRECATE_WARN_END |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 66 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 67 | // Setup bounded ReLu. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 68 | armnn::ActivationQueueDescriptor descriptor; |
| 69 | armnn::WorkloadInfo workloadInfo; |
| 70 | AddInputToWorkload(descriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 71 | AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 72 | |
| 73 | descriptor.m_Parameters.m_Function = armnn::ActivationFunction::BoundedReLu; |
| 74 | descriptor.m_Parameters.m_A = upperBound; |
| 75 | descriptor.m_Parameters.m_B = lowerBound; |
| 76 | |
| 77 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateActivation(descriptor, workloadInfo); |
| 78 | |
| 79 | inputHandle->Allocate(); |
| 80 | outputHandle->Allocate(); |
| 81 | |
| 82 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 83 | |
| 84 | workload->Execute(); |
| 85 | |
| 86 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 87 | |
| 88 | result.outputExpected = MakeTensor<T, 4>(outputTensorInfo, outputExpectedData); |
| 89 | |
| 90 | return result; |
| 91 | } |
| 92 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 93 | LayerTestResult<float, 4> BoundedReLuUpperAndLowerBoundTest( |
| 94 | armnn::IWorkloadFactory& workloadFactory, |
| 95 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 96 | { |
| 97 | unsigned int inputWidth = 4u; |
| 98 | unsigned int inputHeight = 5u; |
| 99 | unsigned int inputChannels = 1u; |
| 100 | unsigned int inputBatchSize = 1; |
| 101 | |
| 102 | std::vector<float> input = std::vector<float>{ |
| 103 | -2.0f, 0.1f, 0.5f, 1.25f, |
| 104 | 0.786f, 0.9875f, -1.5f, 0.384f, |
| 105 | 1.0001f, 3.5f, 7.5f, 0.896f, |
| 106 | 2.126f, 2.0f, 0.3f, 0.15f, |
| 107 | 0.999f, 1.2f, 0.89f, 6.1f, |
| 108 | }; |
| 109 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 110 | // Calculated manually. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 111 | std::vector<float> output = std::vector<float>{ |
| 112 | -1.0f, 0.1f, 0.5f, 1.0f, |
| 113 | 0.786f, 0.9875f, -1.0f, 0.384f, |
| 114 | 1.0f, 1.0f, 1.0f, 0.896f, |
| 115 | 1.0f, 1.0f, 0.3f, 0.15f, |
| 116 | 0.999f, 1.0f, 0.89f, 1.0f, |
| 117 | }; |
| 118 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 119 | return BoundedReLuTestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 120 | workloadFactory, memoryManager, 1.0f, -1.0f, 1.0f, 0, 1.0f, 0, input, output, |
| 121 | inputWidth, inputHeight, inputChannels, inputBatchSize); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 122 | } |
| 123 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 124 | LayerTestResult<float, 4> BoundedReLuUpperBoundOnlyTest( |
| 125 | armnn::IWorkloadFactory& workloadFactory, |
| 126 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 127 | { |
| 128 | unsigned int inputWidth = 4u; |
| 129 | unsigned int inputHeight = 5u; |
| 130 | unsigned int inputChannels = 1u; |
| 131 | unsigned int inputBatchSize = 1; |
| 132 | |
| 133 | std::vector<float> input = std::vector<float>{ |
| 134 | -1.0f, 0.1f, 0.5f, 6.25f, |
| 135 | 0.786f, 5.9875f, -0.5f, 0.384f, |
| 136 | 6.0001f, 3.5f, 7.5f, 0.896f, |
| 137 | 2.126f, 12.0f, 0.3f, 0.15f, |
| 138 | 0.999f, 1.2f, 0.89f, 6.1f, |
| 139 | }; |
| 140 | |
David Beck | ac42efd | 2018-09-26 17:41:13 +0100 | [diff] [blame] | 141 | // Calculated manually. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 142 | std::vector<float> output = std::vector<float>{ |
| 143 | 0.0f, 0.1f, 0.5f, 6.0f, |
| 144 | 0.786f, 5.9875f, 0.0f, 0.384f, |
| 145 | 6.0f, 3.5f, 6.0f, 0.896f, |
| 146 | 2.126f, 6.0f, 0.3f, 0.15f, |
| 147 | 0.999f, 1.2f, 0.89f, 6.0f, |
| 148 | }; |
| 149 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 150 | return BoundedReLuTestCommon<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 151 | workloadFactory, memoryManager, 6.0f, 0.0f, 1.0f, 0, 1.0f, 0, input, output, |
| 152 | inputWidth, inputHeight, inputChannels, inputBatchSize); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 153 | } |
| 154 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 155 | LayerTestResult<uint8_t, 4> BoundedReLuUint8UpperBoundOnlyTest( |
| 156 | armnn::IWorkloadFactory& workloadFactory, |
| 157 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 158 | { |
| 159 | unsigned int inputWidth = 3u; |
| 160 | unsigned int inputHeight = 2u; |
| 161 | unsigned int inputChannels = 1u; |
| 162 | unsigned int inputBatchSize = 1; |
| 163 | |
| 164 | std::vector<uint8_t> input = std::vector<uint8_t>{ |
| 165 | 51, 124, 28, |
| 166 | 251, 8, 92 |
| 167 | }; |
| 168 | |
David Beck | ac42efd | 2018-09-26 17:41:13 +0100 | [diff] [blame] | 169 | // Calculated manually. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 170 | std::vector<uint8_t> output = std::vector<uint8_t>{ |
| 171 | 0, 122, 0, |
| 172 | 255, 0, 58 |
| 173 | }; |
| 174 | |
| 175 | float inputScale = 12.0f / 255.0f; |
| 176 | int32_t inputOffset = 63; |
| 177 | float outputScale = 6.0f / 255.0f; |
| 178 | int32_t outputOffset = 0; |
| 179 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 180 | return BoundedReLuTestCommon<armnn::DataType::QAsymmU8>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 181 | workloadFactory, memoryManager, 6.0f, 0.0f, |
| 182 | inputScale, inputOffset, outputScale, outputOffset, |
| 183 | input, output, inputWidth, inputHeight, inputChannels, inputBatchSize); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 184 | } |
| 185 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 186 | LayerTestResult<uint8_t, 4> BoundedReLuUint8UpperAndLowerBoundTest( |
| 187 | armnn::IWorkloadFactory& workloadFactory, |
| 188 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 189 | { |
| 190 | unsigned int inputWidth = 3u; |
| 191 | unsigned int inputHeight = 2u; |
| 192 | unsigned int inputChannels = 1u; |
| 193 | unsigned int inputBatchSize = 1; |
| 194 | |
| 195 | std::vector<uint8_t> input = std::vector<uint8_t>{ |
| 196 | 51, 230, 28, |
| 197 | 251, 8, 92 |
| 198 | }; |
| 199 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 200 | // Calculated manually. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 201 | std::vector<uint8_t> output = std::vector<uint8_t>{ |
| 202 | 51, 192, 32, |
| 203 | 192, 32, 92 |
| 204 | }; |
| 205 | |
| 206 | int32_t inputOffset = 112; |
| 207 | float inputScale = 0.0125f; |
| 208 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 209 | return BoundedReLuTestCommon<armnn::DataType::QAsymmU8>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 210 | workloadFactory, memoryManager, 1.0f, -1.0f, |
| 211 | inputScale, inputOffset, inputScale, inputOffset, // Input/output scale & offset same. |
| 212 | input, output, inputWidth, inputHeight, inputChannels, inputBatchSize); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 213 | } |
| 214 | |
| 215 | namespace |
| 216 | { |
| 217 | |
| 218 | struct BoundedReLuRandomInputTestTraits |
| 219 | { |
| 220 | constexpr static unsigned int inputHeight = 31u; |
| 221 | constexpr static unsigned int inputWidth = 19u; |
| 222 | constexpr static unsigned int inputChannels = 4u; |
| 223 | constexpr static unsigned int inputBatchSize = 2; |
| 224 | |
| 225 | constexpr static unsigned int outputHeight = inputHeight; |
| 226 | constexpr static unsigned int outputWidth = inputWidth; |
| 227 | constexpr static unsigned int outputChannels = inputChannels; |
| 228 | constexpr static unsigned int outputBatchSize = inputBatchSize; |
| 229 | |
| 230 | static armnn::TensorInfo GetInputTensorInfo() |
| 231 | { |
| 232 | return armnn::TensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, |
| 233 | armnn::DataType::Float32); |
| 234 | } |
| 235 | |
| 236 | static armnn::TensorInfo GetOutputTensorInfo() |
| 237 | { |
| 238 | return armnn::TensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, |
| 239 | armnn::DataType::Float32); |
| 240 | } |
| 241 | }; |
| 242 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 243 | boost::multi_array<float, 4> BoundedReLuRandomInputTest( |
| 244 | armnn::IWorkloadFactory& workloadFactory, |
| 245 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 246 | float lowerBound, |
| 247 | float upperBound, |
| 248 | const armnn::ActivationDescriptor& activationDescriptor) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 249 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 250 | IgnoreUnused(memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 251 | const armnn::TensorInfo inputTensorInfo = BoundedReLuRandomInputTestTraits::GetInputTensorInfo(); |
| 252 | const armnn::TensorInfo outputTensorInfo = BoundedReLuRandomInputTestTraits::GetOutputTensorInfo(); |
| 253 | |
| 254 | boost::multi_array<float, 4> output(GetTensorShapeAsArray<4>(outputTensorInfo)); |
| 255 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 256 | // Min/max random values passed to MakeRandomTensor are purposely outside of the ReLu |
| 257 | // range [lowerBound, upperBound]. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 258 | auto input = MakeRandomTensor<float, 4>(inputTensorInfo, 4605828, lowerBound - 5.0f, upperBound * 2.0f); |
| 259 | |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 260 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 261 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 262 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 263 | ARMNN_NO_DEPRECATE_WARN_END |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 264 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 265 | // Set up bounded ReLu. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 266 | armnn::ActivationQueueDescriptor descriptor; |
| 267 | armnn::WorkloadInfo workloadInfo; |
| 268 | AddInputToWorkload(descriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 269 | AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 270 | descriptor.m_Parameters = activationDescriptor; |
| 271 | |
| 272 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateActivation(descriptor, workloadInfo); |
| 273 | |
| 274 | inputHandle->Allocate(); |
| 275 | outputHandle->Allocate(); |
| 276 | |
| 277 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 278 | |
| 279 | workload->Execute(); |
| 280 | |
| 281 | CopyDataFromITensorHandle(&output[0][0][0][0], outputHandle.get()); |
| 282 | |
| 283 | return output; |
| 284 | } |
| 285 | |
| 286 | } // namespace |
| 287 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 288 | LayerTestResult<float, 4> CompareBoundedReLuTest( |
| 289 | armnn::IWorkloadFactory& workloadFactory, |
| 290 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 291 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 292 | float upperBound, |
| 293 | float lowerBound) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 294 | { |
| 295 | LayerTestResult<float, 4> result(BoundedReLuRandomInputTestTraits::GetOutputTensorInfo()); |
| 296 | |
| 297 | armnn::ActivationDescriptor activationDescriptor; |
| 298 | activationDescriptor.m_Function = armnn::ActivationFunction::BoundedReLu; |
| 299 | activationDescriptor.m_A = upperBound; |
| 300 | activationDescriptor.m_B = lowerBound; |
| 301 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 302 | result.output = BoundedReLuRandomInputTest( |
| 303 | workloadFactory, memoryManager, 0.0f, upperBound, activationDescriptor); |
| 304 | result.outputExpected = BoundedReLuRandomInputTest( |
| 305 | refWorkloadFactory, nullptr, 0.0f, upperBound, activationDescriptor); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 306 | |
| 307 | return result; |
| 308 | } |
| 309 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 310 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 311 | LayerTestResult<T,4> ConstantLinearActivationTestCommon( |
| 312 | armnn::IWorkloadFactory& workloadFactory, |
| 313 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 314 | float qScale = 0.0f, |
| 315 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 316 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 317 | IgnoreUnused(memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 318 | unsigned int inputHeight = 20; |
| 319 | unsigned int inputWidth = 17; |
| 320 | unsigned int inputChannels = 3; |
| 321 | unsigned int batchSize = 5; |
| 322 | |
| 323 | armnn::TensorInfo inputTensorInfo; |
| 324 | armnn::TensorInfo outputTensorInfo; |
| 325 | |
| 326 | unsigned int shape[] = {batchSize, inputChannels, inputHeight, inputWidth}; |
| 327 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 328 | inputTensorInfo = armnn::TensorInfo(4, shape, ArmnnType); |
| 329 | outputTensorInfo = armnn::TensorInfo(4, shape, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 330 | |
| 331 | // Set quantization parameters if the requested type is a quantized type. |
| 332 | if(armnn::IsQuantizedType<T>()) |
| 333 | { |
| 334 | inputTensorInfo.SetQuantizationScale(qScale); |
| 335 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 336 | outputTensorInfo.SetQuantizationScale(qScale); |
| 337 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 338 | } |
| 339 | |
| 340 | LayerTestResult<T, 4> ret(outputTensorInfo); |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 341 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 342 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 343 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 344 | ARMNN_NO_DEPRECATE_WARN_END |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 345 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 346 | // Do linear activation that should leave the tensor unchanged. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 347 | armnn::ActivationQueueDescriptor data; |
| 348 | armnn::WorkloadInfo info; |
| 349 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 350 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 351 | data.m_Parameters.m_A = 1.0f; |
| 352 | data.m_Parameters.m_B = 0.0f; |
| 353 | data.m_Parameters.m_Function = armnn::ActivationFunction::Linear; |
| 354 | |
| 355 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateActivation(data, info); |
| 356 | |
| 357 | inputHandle->Allocate(); |
| 358 | outputHandle->Allocate(); |
| 359 | |
| 360 | boost::multi_array<T, 4> input = MakeRandomTensor<T, 4>(inputTensorInfo, 7123561); |
| 361 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 362 | |
| 363 | workload->Execute(); |
| 364 | |
| 365 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 366 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 367 | // Ensure output equals input. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 368 | ret.outputExpected = input; |
| 369 | |
| 370 | return ret; |
| 371 | } |
| 372 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 373 | LayerTestResult<float, 4> ConstantLinearActivationTest( |
| 374 | armnn::IWorkloadFactory& workloadFactory, |
| 375 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 376 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 377 | return ConstantLinearActivationTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 378 | } |
| 379 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 380 | LayerTestResult<uint8_t, 4> ConstantLinearActivationUint8Test( |
| 381 | armnn::IWorkloadFactory& workloadFactory, |
| 382 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 383 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 384 | return ConstantLinearActivationTestCommon<armnn::DataType::QAsymmU8>( |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 385 | workloadFactory, memoryManager, 4.0f, 3); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 386 | } |
| 387 | |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 388 | LayerTestResult<int16_t, 4> ConstantLinearActivationInt16Test( |
| 389 | armnn::IWorkloadFactory& workloadFactory, |
| 390 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 391 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 392 | return ConstantLinearActivationTestCommon<armnn::DataType::QSymmS16>( |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 393 | workloadFactory, memoryManager, 0.1f, 0); |
| 394 | } |
| 395 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 396 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 397 | LayerTestResult<T, 4> SimpleActivationTest( |
| 398 | armnn::IWorkloadFactory& workloadFactory, |
| 399 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 400 | armnn::ActivationFunction activationFunction, |
| 401 | float activationParameterA, |
| 402 | float activationParameterB, |
Ferran Balaguer | b2b5a26 | 2019-06-24 12:43:38 +0100 | [diff] [blame] | 403 | float scale, |
| 404 | int32_t offset, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 405 | const std::vector<float>& inputData, |
Ferran Balaguer | b2b5a26 | 2019-06-24 12:43:38 +0100 | [diff] [blame] | 406 | float outScale, |
| 407 | int32_t outOffset, |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 408 | const std::vector<float>& outputExpectedData) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 409 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 410 | IgnoreUnused(memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 411 | constexpr static unsigned int inputWidth = 16u; |
| 412 | constexpr static unsigned int inputHeight = 1u; |
| 413 | constexpr static unsigned int inputChannels = 1u; |
| 414 | constexpr static unsigned int inputBatchSize = 1u; |
| 415 | |
| 416 | constexpr static unsigned int outputWidth = inputWidth; |
| 417 | constexpr static unsigned int outputHeight = inputHeight; |
| 418 | constexpr static unsigned int outputChannels = inputChannels; |
| 419 | constexpr static unsigned int outputBatchSize = inputBatchSize; |
| 420 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 421 | armnn::TensorInfo inputTensorInfo({ inputBatchSize, inputChannels, inputHeight, inputWidth }, ArmnnType); |
| 422 | armnn::TensorInfo outputTensorInfo({ outputBatchSize, outputChannels, outputHeight, outputWidth }, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 423 | |
| 424 | // Set quantization parameters if the requested type is a quantized type. |
| 425 | if(armnn::IsQuantizedType<T>()) |
| 426 | { |
Ferran Balaguer | b2b5a26 | 2019-06-24 12:43:38 +0100 | [diff] [blame] | 427 | inputTensorInfo.SetQuantizationScale(scale); |
| 428 | inputTensorInfo.SetQuantizationOffset(offset); |
| 429 | outputTensorInfo.SetQuantizationScale(outScale); |
| 430 | outputTensorInfo.SetQuantizationOffset(outOffset); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 431 | } |
| 432 | |
| 433 | LayerTestResult<T, 4> result(inputTensorInfo); |
| 434 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 435 | auto input = MakeTensor<T, 4>(inputTensorInfo, armnnUtils::QuantizedVector<T>(inputData, scale, offset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 436 | |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 437 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 438 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 439 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 440 | ARMNN_NO_DEPRECATE_WARN_END |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 441 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 442 | // Setup bounded ReLu. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 443 | armnn::ActivationQueueDescriptor descriptor; |
| 444 | armnn::WorkloadInfo workloadInfo; |
| 445 | AddInputToWorkload(descriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 446 | AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 447 | |
| 448 | descriptor.m_Parameters.m_Function = activationFunction; |
| 449 | descriptor.m_Parameters.m_A = activationParameterA; |
| 450 | descriptor.m_Parameters.m_B = activationParameterB; |
| 451 | |
| 452 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateActivation(descriptor, workloadInfo); |
| 453 | |
| 454 | inputHandle->Allocate(); |
| 455 | outputHandle->Allocate(); |
| 456 | |
| 457 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 458 | |
| 459 | workload->Execute(); |
| 460 | |
| 461 | CopyDataFromITensorHandle(&result.output[0][0][0][0], outputHandle.get()); |
| 462 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 463 | // Calculated manually. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 464 | result.outputExpected = |
| 465 | MakeTensor<T, 4>(outputTensorInfo, armnnUtils::QuantizedVector<T>(outputExpectedData, outScale, outOffset)); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 466 | |
| 467 | return result; |
| 468 | } |
| 469 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 470 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 471 | LayerTestResult<T, 4> SimpleSigmoidTestCommon( |
| 472 | armnn::IWorkloadFactory& workloadFactory, |
| 473 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 474 | float qScale, |
| 475 | int32_t qOffset) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 476 | { |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 477 | std::vector<float> inputData = |
| 478 | { |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 479 | -0.1f, -0.2f, -0.3f, -0.4f, |
| 480 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 481 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 482 | 1.0f, 2.0f, 3.0f, 4.0f |
| 483 | }; |
| 484 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 485 | // Calculate output values for input. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 486 | auto f = [](float value) |
| 487 | { |
| 488 | return 1.0f / (1.0f + std::exp(-value)); |
| 489 | }; |
| 490 | std::vector<float> outputExpectedData(inputData.size()); |
| 491 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 492 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 493 | return SimpleActivationTest<ArmnnType>(workloadFactory, |
| 494 | memoryManager, |
| 495 | armnn::ActivationFunction::Sigmoid, |
| 496 | 0.f, |
| 497 | 0.f, |
| 498 | qScale, |
| 499 | qOffset, |
| 500 | inputData, |
Ferran Balaguer | b2b5a26 | 2019-06-24 12:43:38 +0100 | [diff] [blame] | 501 | 1.f / 256.f, |
| 502 | 0, |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 503 | outputExpectedData); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 504 | } |
| 505 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 506 | LayerTestResult<float, 4> SimpleSigmoidTest( |
| 507 | armnn::IWorkloadFactory& workloadFactory, |
| 508 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 509 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 510 | return SimpleSigmoidTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.0f, 0); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 511 | } |
| 512 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 513 | LayerTestResult<uint8_t, 4> SimpleSigmoidUint8Test( |
| 514 | armnn::IWorkloadFactory& workloadFactory, |
| 515 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 516 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 517 | return SimpleSigmoidTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.1f, 50); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 518 | } |
| 519 | |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 520 | LayerTestResult<int16_t, 4> SimpleSigmoidInt16Test( |
| 521 | armnn::IWorkloadFactory& workloadFactory, |
| 522 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 523 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 524 | return SimpleSigmoidTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0); |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 525 | } |
| 526 | |
| 527 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 528 | LayerTestResult<T, 4> ReLuTestCommon( |
| 529 | armnn::IWorkloadFactory& workloadFactory, |
| 530 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 531 | float qScale, |
| 532 | int32_t qOffset) |
| 533 | { |
| 534 | std::vector<float> inputData = { |
| 535 | -0.1f, -0.2f, -0.3f, -0.4f, |
| 536 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 537 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 538 | 1.0f, 2.0f, 3.0f, 4.0f |
| 539 | }; |
| 540 | |
| 541 | // Calculate output values for input. |
| 542 | auto f = [](float value) |
| 543 | { |
| 544 | return std::fmax(0.0f, value); |
| 545 | }; |
| 546 | std::vector<float> outputExpectedData(inputData.size()); |
| 547 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 548 | |
| 549 | return SimpleActivationTest<ArmnnType>(workloadFactory, |
| 550 | memoryManager, |
| 551 | armnn::ActivationFunction::ReLu, |
| 552 | 0.f, |
| 553 | 0.f, |
| 554 | qScale, |
| 555 | qOffset, |
| 556 | inputData, |
Ferran Balaguer | b2b5a26 | 2019-06-24 12:43:38 +0100 | [diff] [blame] | 557 | qScale, |
| 558 | qOffset, |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 559 | outputExpectedData); |
| 560 | } |
| 561 | |
| 562 | LayerTestResult<int16_t, 4> ReLuInt16Test( |
| 563 | armnn::IWorkloadFactory& workloadFactory, |
| 564 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 565 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 566 | return ReLuTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0); |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 567 | } |
| 568 | |
| 569 | |
konsof01 | 7f6db40 | 2019-06-07 15:15:58 +0100 | [diff] [blame] | 570 | LayerTestResult<uint8_t, 4> ReLuUint8Test( |
| 571 | armnn::IWorkloadFactory& workloadFactory, |
| 572 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 573 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 574 | return ReLuTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.1f, 0); |
konsof01 | 7f6db40 | 2019-06-07 15:15:58 +0100 | [diff] [blame] | 575 | } |
| 576 | |
| 577 | LayerTestResult<float, 4> ReLuTest( |
| 578 | armnn::IWorkloadFactory& workloadFactory, |
| 579 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 580 | { |
| 581 | return ReLuTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0); |
| 582 | } |
| 583 | |
| 584 | |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 585 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 586 | LayerTestResult<T, 4> BoundedReLuTestCommon( |
| 587 | armnn::IWorkloadFactory& workloadFactory, |
| 588 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 589 | float qScale, |
| 590 | int32_t qOffset) |
| 591 | { |
| 592 | std::vector<float> inputData = { |
| 593 | -0.1f, -0.2f, -0.3f, -0.4f, |
| 594 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 595 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 596 | 1.0f, 2.0f, 3.0f, 4.0f |
| 597 | }; |
| 598 | const float a = 1.0f; |
| 599 | const float b = -1.0f; |
| 600 | // Calculate output values for input. |
| 601 | auto f = [a, b](float value) |
| 602 | { |
| 603 | return std::min(a, std::max(b, value)); |
| 604 | }; |
| 605 | std::vector<float> outputExpectedData(inputData.size()); |
| 606 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 607 | |
| 608 | return SimpleActivationTest<ArmnnType>(workloadFactory, |
| 609 | memoryManager, |
| 610 | armnn::ActivationFunction::BoundedReLu, |
| 611 | a, |
| 612 | b, |
| 613 | qScale, |
| 614 | qOffset, |
| 615 | inputData, |
Ferran Balaguer | b2b5a26 | 2019-06-24 12:43:38 +0100 | [diff] [blame] | 616 | qScale, |
| 617 | qOffset, |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 618 | outputExpectedData); |
| 619 | } |
| 620 | |
| 621 | LayerTestResult<int16_t, 4> BoundedReLuInt16Test( |
| 622 | armnn::IWorkloadFactory& workloadFactory, |
| 623 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 624 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 625 | return ReLuTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0); |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 626 | } |
| 627 | |
| 628 | |
| 629 | |
| 630 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 631 | LayerTestResult<T, 4> SoftReLuTestCommon( |
| 632 | armnn::IWorkloadFactory& workloadFactory, |
| 633 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 634 | float qScale, |
| 635 | int32_t qOffset) |
| 636 | { |
| 637 | std::vector<float> inputData = { |
| 638 | -0.1f, -0.2f, -0.3f, -0.4f, |
| 639 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 640 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 641 | 1.0f, 2.0f, 3.0f, 4.0f |
| 642 | }; |
| 643 | |
| 644 | // Calculate output values for input. |
| 645 | auto f = [](float value) |
| 646 | { |
| 647 | return std::log(1.0f + std::exp(value)); |
| 648 | }; |
| 649 | std::vector<float> outputExpectedData(inputData.size()); |
| 650 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 651 | |
| 652 | return SimpleActivationTest<ArmnnType>(workloadFactory, |
| 653 | memoryManager, |
| 654 | armnn::ActivationFunction::SoftReLu, |
| 655 | 0.f, |
| 656 | 0.f, |
| 657 | qScale, |
| 658 | qOffset, |
| 659 | inputData, |
Ferran Balaguer | b2b5a26 | 2019-06-24 12:43:38 +0100 | [diff] [blame] | 660 | qScale, |
| 661 | qOffset, |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 662 | outputExpectedData); |
| 663 | } |
| 664 | |
konsof01 | 7f6db40 | 2019-06-07 15:15:58 +0100 | [diff] [blame] | 665 | LayerTestResult<float, 4> SoftReLuTest( |
| 666 | armnn::IWorkloadFactory& workloadFactory, |
| 667 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 668 | { |
| 669 | return SoftReLuTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0); |
| 670 | } |
| 671 | |
| 672 | LayerTestResult<uint8_t, 4> SoftReLuUint8Test( |
| 673 | armnn::IWorkloadFactory& workloadFactory, |
| 674 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 675 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 676 | return SoftReLuTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.0625f, 64); |
konsof01 | 7f6db40 | 2019-06-07 15:15:58 +0100 | [diff] [blame] | 677 | } |
| 678 | |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 679 | LayerTestResult<int16_t, 4> SoftReLuInt16Test( |
| 680 | armnn::IWorkloadFactory& workloadFactory, |
| 681 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 682 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 683 | return SoftReLuTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0); |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 684 | } |
| 685 | |
| 686 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 687 | LayerTestResult<T, 4> LeakyReLuTestCommon( |
| 688 | armnn::IWorkloadFactory& workloadFactory, |
| 689 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 690 | float qScale, |
| 691 | int32_t qOffset) |
| 692 | { |
| 693 | std::vector<float> inputData = { |
| 694 | -0.1f, -0.2f, -0.3f, -0.4f, |
| 695 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 696 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 697 | 1.0f, 2.0f, 3.0f, 4.0f |
| 698 | }; |
| 699 | |
| 700 | const float a = 0.01f; |
| 701 | // Calculate output values for input. |
| 702 | auto f = [a](float value) |
| 703 | { |
| 704 | return value > 0.0f ? value : (value * a); |
| 705 | }; |
| 706 | std::vector<float> outputExpectedData(inputData.size()); |
| 707 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 708 | |
| 709 | return SimpleActivationTest<ArmnnType>(workloadFactory, |
| 710 | memoryManager, |
| 711 | armnn::ActivationFunction::LeakyReLu, |
| 712 | a, |
| 713 | 0.f, |
| 714 | qScale, |
| 715 | qOffset, |
| 716 | inputData, |
Ferran Balaguer | b2b5a26 | 2019-06-24 12:43:38 +0100 | [diff] [blame] | 717 | qScale, |
| 718 | qOffset, |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 719 | outputExpectedData); |
| 720 | } |
| 721 | |
konsof01 | 7f6db40 | 2019-06-07 15:15:58 +0100 | [diff] [blame] | 722 | LayerTestResult<float, 4> LeakyReLuTest( |
| 723 | armnn::IWorkloadFactory& workloadFactory, |
| 724 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 725 | { |
| 726 | return LeakyReLuTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0); |
| 727 | } |
| 728 | |
| 729 | LayerTestResult<uint8_t, 4> LeakyReLuUint8Test( |
| 730 | armnn::IWorkloadFactory& workloadFactory, |
| 731 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 732 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 733 | return LeakyReLuTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.0625f, 64); |
konsof01 | 7f6db40 | 2019-06-07 15:15:58 +0100 | [diff] [blame] | 734 | } |
| 735 | |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 736 | LayerTestResult<int16_t, 4> LeakyReLuInt16Test( |
| 737 | armnn::IWorkloadFactory& workloadFactory, |
| 738 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 739 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 740 | return LeakyReLuTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0); |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 741 | } |
| 742 | |
| 743 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 744 | LayerTestResult<T, 4> AbsTestCommon( |
| 745 | armnn::IWorkloadFactory& workloadFactory, |
| 746 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 747 | float qScale, |
| 748 | int32_t qOffset) |
| 749 | { |
| 750 | std::vector<float> inputData = { |
| 751 | -0.1f, -0.2f, -0.3f, -0.4f, |
| 752 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 753 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 754 | 1.0f, 2.0f, 3.0f, 4.0f |
| 755 | }; |
| 756 | |
| 757 | // Calculate output values for input. |
| 758 | auto f = [](float value) |
| 759 | { |
| 760 | return std::abs(value); |
| 761 | }; |
| 762 | std::vector<float> outputExpectedData(inputData.size()); |
| 763 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 764 | |
| 765 | return SimpleActivationTest<ArmnnType>(workloadFactory, |
| 766 | memoryManager, |
| 767 | armnn::ActivationFunction::Abs, |
| 768 | 0.f, |
| 769 | 0.f, |
| 770 | qScale, |
| 771 | qOffset, |
| 772 | inputData, |
Ferran Balaguer | b2b5a26 | 2019-06-24 12:43:38 +0100 | [diff] [blame] | 773 | qScale, |
| 774 | qOffset, |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 775 | outputExpectedData); |
| 776 | } |
| 777 | |
konsof01 | 7f6db40 | 2019-06-07 15:15:58 +0100 | [diff] [blame] | 778 | LayerTestResult<float, 4> AbsTest( |
| 779 | armnn::IWorkloadFactory& workloadFactory, |
| 780 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 781 | { |
| 782 | return AbsTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0); |
| 783 | } |
| 784 | |
| 785 | LayerTestResult<uint8_t, 4> AbsUint8Test( |
| 786 | armnn::IWorkloadFactory& workloadFactory, |
| 787 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 788 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 789 | return AbsTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.0625f, 64); |
konsof01 | 7f6db40 | 2019-06-07 15:15:58 +0100 | [diff] [blame] | 790 | } |
| 791 | |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 792 | LayerTestResult<int16_t, 4> AbsInt16Test( |
| 793 | armnn::IWorkloadFactory& workloadFactory, |
| 794 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 795 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 796 | return AbsTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0); |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 797 | } |
| 798 | |
Sadik Armagan | 6095ba5 | 2019-09-13 17:07:19 +0100 | [diff] [blame] | 799 | LayerTestResult<float, 5> SqrtNNTest( |
| 800 | armnn::IWorkloadFactory& workloadFactory, |
| 801 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 802 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 803 | IgnoreUnused(memoryManager); |
Sadik Armagan | 6095ba5 | 2019-09-13 17:07:19 +0100 | [diff] [blame] | 804 | const int inputDataSize = 120; |
| 805 | std::vector<float> inputData(inputDataSize); |
| 806 | |
| 807 | for (unsigned int i = 0u; i < inputDataSize; ++i) |
| 808 | { |
| 809 | inputData[i] = static_cast<float>(i) / 10; |
| 810 | } |
| 811 | |
| 812 | auto f = [](float value) |
| 813 | { |
| 814 | return std::sqrt(value); |
| 815 | }; |
| 816 | std::vector<float> outputExpectedData(inputDataSize); |
| 817 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 818 | |
| 819 | armnn::TensorInfo inputTensorInfo( |
| 820 | { 1u, 2u, 3u, 4u, 5u }, armnn::DataType::Float32); |
| 821 | armnn::TensorInfo outputTensorInfo( |
| 822 | { 1u, 2u, 3u, 4u, 5u }, armnn::DataType::Float32); |
| 823 | |
| 824 | LayerTestResult<float, 5> result(inputTensorInfo); |
| 825 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 826 | auto input = MakeTensor<float, 5>(inputTensorInfo, inputData); |
Sadik Armagan | 6095ba5 | 2019-09-13 17:07:19 +0100 | [diff] [blame] | 827 | |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 828 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
Sadik Armagan | 6095ba5 | 2019-09-13 17:07:19 +0100 | [diff] [blame] | 829 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 830 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 831 | ARMNN_NO_DEPRECATE_WARN_END |
Sadik Armagan | 6095ba5 | 2019-09-13 17:07:19 +0100 | [diff] [blame] | 832 | |
| 833 | armnn::ActivationQueueDescriptor descriptor; |
| 834 | armnn::WorkloadInfo workloadInfo; |
| 835 | AddInputToWorkload(descriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 836 | AddOutputToWorkload(descriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 837 | |
| 838 | descriptor.m_Parameters.m_Function = armnn::ActivationFunction::Sqrt; |
| 839 | |
| 840 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateActivation(descriptor, workloadInfo); |
| 841 | |
| 842 | inputHandle->Allocate(); |
| 843 | outputHandle->Allocate(); |
| 844 | |
| 845 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0][0]); |
| 846 | |
| 847 | workload->Execute(); |
| 848 | |
| 849 | CopyDataFromITensorHandle(&result.output[0][0][0][0][0], outputHandle.get()); |
| 850 | |
| 851 | // Calculated manually. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 852 | result.outputExpected = MakeTensor<float, 5>(outputTensorInfo, outputExpectedData); |
Sadik Armagan | 6095ba5 | 2019-09-13 17:07:19 +0100 | [diff] [blame] | 853 | |
| 854 | return result; |
| 855 | }; |
| 856 | |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 857 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 858 | LayerTestResult<T, 4> SqrtTestCommon( |
| 859 | armnn::IWorkloadFactory& workloadFactory, |
| 860 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 861 | float qScale, |
| 862 | int32_t qOffset) |
| 863 | { |
| 864 | std::vector<float> inputData = { |
| 865 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 866 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 867 | 1.0f, 2.0f, 3.0f, 4.0f, |
| 868 | 1.0f, 2.0f, 3.0f, 4.0f |
| 869 | }; |
| 870 | |
| 871 | // Calculate output values for input. |
| 872 | auto f = [](float value) |
| 873 | { |
| 874 | return std::sqrt(value); |
| 875 | }; |
| 876 | std::vector<float> outputExpectedData(inputData.size()); |
| 877 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 878 | |
| 879 | return SimpleActivationTest<ArmnnType>(workloadFactory, |
| 880 | memoryManager, |
| 881 | armnn::ActivationFunction::Sqrt, |
| 882 | 0.f, |
| 883 | 0.f, |
| 884 | qScale, |
| 885 | qOffset, |
| 886 | inputData, |
Ferran Balaguer | b2b5a26 | 2019-06-24 12:43:38 +0100 | [diff] [blame] | 887 | qScale, |
| 888 | qOffset, |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 889 | outputExpectedData); |
| 890 | } |
| 891 | |
konsof01 | 7f6db40 | 2019-06-07 15:15:58 +0100 | [diff] [blame] | 892 | LayerTestResult<float, 4> SqrtTest( |
| 893 | armnn::IWorkloadFactory& workloadFactory, |
| 894 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 895 | { |
| 896 | return SqrtTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0); |
| 897 | } |
| 898 | |
| 899 | LayerTestResult<uint8_t, 4> SqrtUint8Test( |
| 900 | armnn::IWorkloadFactory& workloadFactory, |
| 901 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 902 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 903 | return SqrtTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.0625f, 64); |
konsof01 | 7f6db40 | 2019-06-07 15:15:58 +0100 | [diff] [blame] | 904 | } |
| 905 | |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 906 | LayerTestResult<int16_t, 4> SqrtInt16Test( |
| 907 | armnn::IWorkloadFactory& workloadFactory, |
| 908 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 909 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 910 | return SqrtTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0); |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 911 | } |
| 912 | |
| 913 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 914 | LayerTestResult<T, 4> SquareTestCommon( |
| 915 | armnn::IWorkloadFactory& workloadFactory, |
| 916 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 917 | float qScale, |
| 918 | int32_t qOffset) |
| 919 | { |
| 920 | std::vector<float> inputData = { |
| 921 | -0.1f, -0.2f, -0.3f, -0.4f, |
| 922 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 923 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 924 | 1.0f, 2.0f, 3.0f, 4.0f |
| 925 | }; |
| 926 | |
| 927 | // Calculate output values for input. |
| 928 | auto f = [](float value) |
| 929 | { |
| 930 | return std::pow(value,2); |
| 931 | }; |
| 932 | std::vector<float> outputExpectedData(inputData.size()); |
| 933 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 934 | |
| 935 | return SimpleActivationTest<ArmnnType>(workloadFactory, |
| 936 | memoryManager, |
| 937 | armnn::ActivationFunction::Square, |
| 938 | 0.f, |
| 939 | 0.f, |
| 940 | qScale, |
| 941 | qOffset, |
| 942 | inputData, |
Ferran Balaguer | b2b5a26 | 2019-06-24 12:43:38 +0100 | [diff] [blame] | 943 | qScale, |
| 944 | qOffset, |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 945 | outputExpectedData); |
| 946 | } |
| 947 | |
konsof01 | 7f6db40 | 2019-06-07 15:15:58 +0100 | [diff] [blame] | 948 | LayerTestResult<float, 4> SquareTest( |
| 949 | armnn::IWorkloadFactory& workloadFactory, |
| 950 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 951 | { |
| 952 | return SquareTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0); |
| 953 | } |
| 954 | |
| 955 | LayerTestResult<uint8_t, 4> SquareUint8Test( |
| 956 | armnn::IWorkloadFactory& workloadFactory, |
| 957 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 958 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 959 | return SquareTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.0625f, 64); |
konsof01 | 7f6db40 | 2019-06-07 15:15:58 +0100 | [diff] [blame] | 960 | } |
| 961 | |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 962 | LayerTestResult<int16_t, 4> SquareInt16Test( |
| 963 | armnn::IWorkloadFactory& workloadFactory, |
| 964 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 965 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 966 | return SquareTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0); |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 967 | } |
| 968 | |
| 969 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 970 | LayerTestResult<T, 4> TanhTestCommon( |
| 971 | armnn::IWorkloadFactory& workloadFactory, |
| 972 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 973 | float qScale, |
| 974 | int32_t qOffset) |
| 975 | { |
| 976 | std::vector<float> inputData = { |
| 977 | -0.1f, -0.2f, -0.3f, -0.4f, |
| 978 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 979 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 980 | 1.0f, 2.0f, 3.0f, 4.0f |
| 981 | }; |
| 982 | |
| 983 | const float a = 2.0f; |
| 984 | const float b = 3.0f; |
| 985 | // Calculate output values for input. |
| 986 | auto f = [a, b](float value) |
| 987 | { |
| 988 | return a * tanhf(b * value); |
| 989 | }; |
| 990 | std::vector<float> outputExpectedData(inputData.size()); |
| 991 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 992 | |
| 993 | return SimpleActivationTest<ArmnnType>(workloadFactory, |
| 994 | memoryManager, |
| 995 | armnn::ActivationFunction::TanH, |
| 996 | a, |
| 997 | b, |
| 998 | qScale, |
| 999 | qOffset, |
| 1000 | inputData, |
Ferran Balaguer | b2b5a26 | 2019-06-24 12:43:38 +0100 | [diff] [blame] | 1001 | qScale, |
| 1002 | qOffset, |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 1003 | outputExpectedData); |
| 1004 | } |
| 1005 | |
konsof01 | 7f6db40 | 2019-06-07 15:15:58 +0100 | [diff] [blame] | 1006 | LayerTestResult<float, 4> TanhTest( |
| 1007 | armnn::IWorkloadFactory& workloadFactory, |
| 1008 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1009 | { |
| 1010 | return TanhTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0); |
| 1011 | } |
| 1012 | |
| 1013 | LayerTestResult<uint8_t, 4> TanhUint8Test( |
| 1014 | armnn::IWorkloadFactory& workloadFactory, |
| 1015 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1016 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1017 | return TanhTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.1f, 64); |
konsof01 | 7f6db40 | 2019-06-07 15:15:58 +0100 | [diff] [blame] | 1018 | } |
| 1019 | |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 1020 | LayerTestResult<int16_t, 4> TanhInt16Test( |
| 1021 | armnn::IWorkloadFactory& workloadFactory, |
| 1022 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1023 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1024 | return TanhTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0); |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 1025 | } |
| 1026 | |
| 1027 | |
David Monahan | 3b3c381 | 2020-02-25 09:03:29 +0000 | [diff] [blame] | 1028 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
| 1029 | LayerTestResult<T, 4> EluTestCommon( |
| 1030 | armnn::IWorkloadFactory& workloadFactory, |
| 1031 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1032 | float qScale, |
| 1033 | int32_t qOffset) |
| 1034 | { |
| 1035 | std::vector<float> inputData = { |
| 1036 | -0.1f, -0.2f, -0.3f, -0.4f, |
| 1037 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 1038 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 1039 | 1.0f, 2.0f, 3.0f, 4.0f |
| 1040 | }; |
| 1041 | |
| 1042 | |
| 1043 | const float a = 0.01f; |
| 1044 | // Calculate output values for input. |
| 1045 | auto f = [a](float value) |
| 1046 | { |
| 1047 | return (value >= 0) ? value : a * (expf(value) - 1); |
| 1048 | }; |
| 1049 | std::vector<float> outputExpectedData(inputData.size()); |
| 1050 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 1051 | |
| 1052 | return SimpleActivationTest<ArmnnType>(workloadFactory, |
| 1053 | memoryManager, |
| 1054 | armnn::ActivationFunction::Elu, |
| 1055 | a, |
| 1056 | 0.0f, |
| 1057 | qScale, |
| 1058 | qOffset, |
| 1059 | inputData, |
| 1060 | qScale, |
| 1061 | qOffset, |
| 1062 | outputExpectedData); |
| 1063 | } |
| 1064 | |
| 1065 | LayerTestResult<float, 4> EluTest( |
| 1066 | armnn::IWorkloadFactory& workloadFactory, |
| 1067 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1068 | { |
| 1069 | return EluTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0); |
| 1070 | } |
| 1071 | |
| 1072 | LayerTestResult<uint8_t, 4> EluUint8Test( |
| 1073 | armnn::IWorkloadFactory& workloadFactory, |
| 1074 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1075 | { |
| 1076 | return EluTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.1f, 64); |
| 1077 | } |
| 1078 | |
| 1079 | LayerTestResult<int16_t, 4> EluInt16Test( |
| 1080 | armnn::IWorkloadFactory& workloadFactory, |
| 1081 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1082 | { |
| 1083 | return EluTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0); |
| 1084 | } |
| 1085 | |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 1086 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1087 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Colm Donelan | 03fbeaf | 2020-02-26 15:39:23 +0000 | [diff] [blame] | 1088 | LayerTestResult<T, 4> HardSwishTestCommon( |
| 1089 | armnn::IWorkloadFactory& workloadFactory, |
| 1090 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1091 | float qScale, |
| 1092 | int32_t qOffset) |
| 1093 | { |
| 1094 | std::vector<float> inputData = { |
| 1095 | -0.1f, -0.2f, -0.3f, -0.4f, |
| 1096 | 0.1f, 0.2f, 0.3f, 0.4f, |
| 1097 | -1.0f, -2.0f, -3.0f, -4.0f, |
| 1098 | 1.0f, 2.0f, 3.0f, 4.0f |
| 1099 | }; |
| 1100 | // Calculate output values for input. |
| 1101 | auto f = [](float x) |
| 1102 | { |
| 1103 | // Break down the calculation to help with verification. |
| 1104 | // hard_swish(x) = x * relu6(x+3) / 6 |
| 1105 | // relu6(x) = min(max(x,0),6) |
| 1106 | float reLu6_step1 = std::max((x + 3),0.0f); |
| 1107 | float reLu6Complete = std::min(reLu6_step1, 6.0f); |
| 1108 | float hardSwish_step1 = x * reLu6Complete; |
| 1109 | float result = hardSwish_step1 / 6; |
| 1110 | return result; |
| 1111 | }; |
| 1112 | std::vector<float> outputExpectedData(inputData.size()); |
| 1113 | std::transform(inputData.begin(), inputData.end(), outputExpectedData.begin(), f); |
| 1114 | |
| 1115 | return SimpleActivationTest<ArmnnType>(workloadFactory, |
| 1116 | memoryManager, |
| 1117 | armnn::ActivationFunction::HardSwish, |
| 1118 | 0.f, |
| 1119 | 0.f, |
| 1120 | qScale, |
| 1121 | qOffset, |
| 1122 | inputData, |
| 1123 | qScale, |
| 1124 | qOffset, |
| 1125 | outputExpectedData); |
| 1126 | } |
| 1127 | |
| 1128 | LayerTestResult<float, 4> HardSwishTest( |
| 1129 | armnn::IWorkloadFactory& workloadFactory, |
| 1130 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1131 | { |
| 1132 | return HardSwishTestCommon<armnn::DataType::Float32>(workloadFactory, memoryManager, 0.1f, 0); |
| 1133 | } |
| 1134 | |
| 1135 | LayerTestResult<uint8_t, 4> HardSwishUint8Test( |
| 1136 | armnn::IWorkloadFactory& workloadFactory, |
| 1137 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1138 | { |
| 1139 | return HardSwishTestCommon<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager, 0.1f, 64); |
| 1140 | } |
| 1141 | |
| 1142 | LayerTestResult<int16_t, 4> HardSwishInt16Test( |
| 1143 | armnn::IWorkloadFactory& workloadFactory, |
| 1144 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager) |
| 1145 | { |
| 1146 | return HardSwishTestCommon<armnn::DataType::QSymmS16>(workloadFactory, memoryManager, 0.1f, 0); |
| 1147 | } |
| 1148 | |
| 1149 | |
| 1150 | template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1151 | LayerTestResult<T,4> CompareActivationTestImpl( |
| 1152 | armnn::IWorkloadFactory& workloadFactory, |
| 1153 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1154 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1155 | armnn::ActivationFunction f, |
| 1156 | unsigned int batchSize = 5, |
| 1157 | float qScale = 0.0f, |
| 1158 | int32_t qOffset = 0) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1159 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 1160 | IgnoreUnused(memoryManager); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1161 | unsigned int width = 17; |
| 1162 | unsigned int height = 29; |
| 1163 | unsigned int channels = 2; |
| 1164 | |
| 1165 | float a = 0.234f; |
| 1166 | float b = -12.345f; |
| 1167 | |
| 1168 | armnn::TensorInfo inputTensorInfo; |
| 1169 | armnn::TensorInfo outputTensorInfo; |
| 1170 | |
| 1171 | unsigned int shape[] = {batchSize, channels, height, width}; |
| 1172 | |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1173 | inputTensorInfo = armnn::TensorInfo(4, shape, ArmnnType); |
| 1174 | outputTensorInfo = armnn::TensorInfo(4, shape, ArmnnType); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1175 | |
| 1176 | // Set quantization parameters if the requested type is a quantized type. |
| 1177 | if(armnn::IsQuantizedType<T>()) |
| 1178 | { |
| 1179 | inputTensorInfo.SetQuantizationScale(qScale); |
| 1180 | inputTensorInfo.SetQuantizationOffset(qOffset); |
| 1181 | outputTensorInfo.SetQuantizationScale(qScale); |
| 1182 | outputTensorInfo.SetQuantizationOffset(qOffset); |
| 1183 | } |
| 1184 | |
| 1185 | float minVal = -10.f; |
| 1186 | if (f == armnn::ActivationFunction::Sqrt) |
| 1187 | { |
| 1188 | minVal = 0.f; |
| 1189 | } |
| 1190 | |
| 1191 | boost::multi_array<T, 4> input = MakeRandomTensor<T, 4>(inputTensorInfo, 21453, minVal, 10.f); |
| 1192 | |
| 1193 | |
| 1194 | LayerTestResult<T,4> ret(outputTensorInfo); |
| 1195 | auto boostArrayExtents = boost::extents |
| 1196 | [boost::numeric_cast<boost::multi_array_types::extent_gen::index>(batchSize)] |
| 1197 | [boost::numeric_cast<boost::multi_array_types::extent_gen::index>(channels)] |
| 1198 | [boost::numeric_cast<boost::multi_array_types::extent_gen::index>(height)] |
| 1199 | [boost::numeric_cast<boost::multi_array_types::extent_gen::index>(width)]; |
| 1200 | ret.output.resize(boostArrayExtents); |
| 1201 | ret.outputExpected.resize(boostArrayExtents); |
| 1202 | |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 1203 | ARMNN_NO_DEPRECATE_WARN_BEGIN |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1204 | std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.CreateTensorHandle(inputTensorInfo); |
| 1205 | std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.CreateTensorHandle(outputTensorInfo); |
| 1206 | |
| 1207 | std::unique_ptr<armnn::ITensorHandle> inputHandleRef = refWorkloadFactory.CreateTensorHandle(inputTensorInfo); |
| 1208 | std::unique_ptr<armnn::ITensorHandle> outputHandleRef = refWorkloadFactory.CreateTensorHandle(outputTensorInfo); |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame^] | 1209 | ARMNN_NO_DEPRECATE_WARN_END |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1210 | |
| 1211 | armnn::ActivationQueueDescriptor data; |
| 1212 | armnn::WorkloadInfo info; |
| 1213 | AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get()); |
| 1214 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 1215 | data.m_Parameters.m_A = a; |
| 1216 | data.m_Parameters.m_B = b; |
| 1217 | data.m_Parameters.m_Function = f; |
| 1218 | |
| 1219 | armnn::ActivationQueueDescriptor refData = data; |
| 1220 | armnn::WorkloadInfo refInfo = info; |
| 1221 | SetWorkloadInput(refData, refInfo, 0, inputTensorInfo, inputHandleRef.get()); |
| 1222 | SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get()); |
| 1223 | |
| 1224 | std::unique_ptr<armnn::IWorkload> workload = workloadFactory.CreateActivation(data, info); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1225 | ARMNN_ASSERT(workload != nullptr); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1226 | std::unique_ptr<armnn::IWorkload> workloadRef = refWorkloadFactory.CreateActivation(refData, refInfo); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 1227 | ARMNN_ASSERT(workloadRef != nullptr); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1228 | |
| 1229 | inputHandle->Allocate(); |
| 1230 | outputHandle->Allocate(); |
| 1231 | inputHandleRef->Allocate(); |
| 1232 | outputHandleRef->Allocate(); |
| 1233 | |
| 1234 | CopyDataToITensorHandle(inputHandle.get(), &input[0][0][0][0]); |
| 1235 | CopyDataToITensorHandle(inputHandleRef.get(), &input[0][0][0][0]); |
| 1236 | |
| 1237 | workload->Execute(); |
| 1238 | workloadRef->Execute(); |
| 1239 | |
| 1240 | CopyDataFromITensorHandle(&ret.output[0][0][0][0], outputHandle.get()); |
| 1241 | CopyDataFromITensorHandle(&ret.outputExpected[0][0][0][0], outputHandleRef.get()); |
| 1242 | |
| 1243 | return ret; |
| 1244 | } |
| 1245 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1246 | LayerTestResult<float,4> CompareActivationTest( |
| 1247 | armnn::IWorkloadFactory& workloadFactory, |
| 1248 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1249 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1250 | armnn::ActivationFunction f, |
| 1251 | unsigned int batchSize) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1252 | { |
Nattapat Chaimanowong | 649dd95 | 2019-01-22 16:10:44 +0000 | [diff] [blame] | 1253 | return CompareActivationTestImpl<armnn::DataType::Float32>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1254 | workloadFactory, memoryManager, refWorkloadFactory, f, batchSize); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1255 | } |
| 1256 | |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1257 | LayerTestResult<uint8_t,4> CompareActivationUint8Test( |
| 1258 | armnn::IWorkloadFactory& workloadFactory, |
| 1259 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1260 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1261 | armnn::ActivationFunction f) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1262 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1263 | return CompareActivationTestImpl<armnn::DataType::QAsymmU8>( |
Aron Virginas-Tar | 5caf907 | 2018-11-14 18:35:18 +0000 | [diff] [blame] | 1264 | workloadFactory, memoryManager, refWorkloadFactory, f, 5, 0.1f, 50); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 1265 | } |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 1266 | |
| 1267 | LayerTestResult<int16_t,4> CompareActivationInt16Test( |
| 1268 | armnn::IWorkloadFactory& workloadFactory, |
| 1269 | const armnn::IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 1270 | armnn::IWorkloadFactory& refWorkloadFactory, |
| 1271 | armnn::ActivationFunction f) |
| 1272 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 1273 | return CompareActivationTestImpl<armnn::DataType::QSymmS16>( |
Teresa Charlin | 18515e2 | 2019-04-24 10:17:46 +0100 | [diff] [blame] | 1274 | workloadFactory, memoryManager, refWorkloadFactory, f, 5, 0.1f, 0); |
| 1275 | } |