Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [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. |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
| 6 | #include "ConcatTestImpl.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> |
| 10 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 11 | |
Matteo Martincigh | e011d20 | 2019-11-28 11:35:47 +0000 | [diff] [blame] | 12 | #include <armnnUtils/Permute.hpp> |
| 13 | |
Sadik Armagan | a097d2a | 2021-11-24 15:47:28 +0000 | [diff] [blame] | 14 | #include <armnnTestUtils/TensorCopyUtils.hpp> |
Colm Donelan | 0c47974 | 2021-12-10 12:43:54 +0000 | [diff] [blame] | 15 | #include <armnnTestUtils/WorkloadTestUtils.hpp> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 16 | |
Sadik Armagan | a097d2a | 2021-11-24 15:47:28 +0000 | [diff] [blame] | 17 | #include <TensorHelpers.hpp> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 18 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 19 | using namespace armnn; |
| 20 | using namespace armnnUtils; |
| 21 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 22 | // |
| 23 | // Helper functions and templates |
| 24 | // |
| 25 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 26 | OriginsDescriptor CreateDescriptorForConcat( |
| 27 | const std::vector<TensorInfo> & inputTensorInfos, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 28 | unsigned int concatDim) |
| 29 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 30 | std::vector<TensorShape> shapes; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 31 | shapes.reserve(inputTensorInfos.size()); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 32 | for (const TensorInfo& it: inputTensorInfos) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 33 | { |
| 34 | shapes.push_back(it.GetShape()); |
| 35 | } |
| 36 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 37 | return CreateDescriptorForConcatenation(shapes.begin(), shapes.end(), concatDim); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 38 | } |
| 39 | |
| 40 | // |
| 41 | // Concat is only supported for N and C dimensions for NCHW and the inner most dimension |
| 42 | // In case of <4 dimensions we need to make sure that the concat dimensions are at least |
| 43 | // the 3rd slowest iterating one or the inner most dimension. |
| 44 | // |
| 45 | |
| 46 | bool NeedPermuteForConcat( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 47 | const std::vector<TensorInfo> & inputTensorInfos, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 48 | unsigned int concatDim) |
| 49 | { |
| 50 | // See note above. Additionally we expect the input shapes to have the |
| 51 | // same number of dimensions. |
| 52 | unsigned int nDimensions = 0; |
| 53 | |
| 54 | // Determine the number of dimensions as well as sanity check them |
| 55 | // agains test implementation issues. |
| 56 | for (auto && tensorInfo : inputTensorInfos) |
| 57 | { |
| 58 | if (!nDimensions) |
| 59 | { |
| 60 | nDimensions = tensorInfo.GetShape().GetNumDimensions(); |
| 61 | } |
| 62 | else |
| 63 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 64 | ARMNN_ASSERT_MSG(nDimensions == tensorInfo.GetShape().GetNumDimensions(), |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 65 | "Input shapes must have the same number of dimensions"); |
| 66 | } |
| 67 | } |
| 68 | |
| 69 | return (nDimensions < 3 || (nDimensions == 3 && (nDimensions-concatDim) < 3 && (nDimensions-concatDim) != 1)); |
| 70 | } |
| 71 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 72 | TensorShape ExpandTensorShapeTo3dForPermute(const TensorShape & inputShape) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 73 | { |
| 74 | unsigned int numDims = inputShape.GetNumDimensions(); |
| 75 | if (numDims >= 3) |
| 76 | { |
| 77 | // Nothing to do if the inputShape has at least 3 dimensions. |
| 78 | return inputShape; |
| 79 | } |
| 80 | |
| 81 | std::vector<unsigned int> newDims(size_t(3), 1u); |
| 82 | unsigned int expandedBy = 3 - numDims; |
| 83 | for (unsigned int i=0; i<numDims; ++i) |
| 84 | { |
| 85 | newDims[expandedBy+i] = inputShape[i]; |
| 86 | } |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 87 | return TensorShape(3u, &newDims[0]); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 88 | } |
| 89 | |
| 90 | void Generate3dPermuteVectorForConcat( |
| 91 | unsigned int numDimensions, |
| 92 | unsigned int & concatDim, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 93 | std::pair<PermutationVector, PermutationVector> & permutations) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 94 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 95 | ARMNN_ASSERT_MSG(numDimensions <= 3, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 96 | "Only dimensions 1,2 and 3 are supported by this helper"); |
| 97 | unsigned int expandedBy = 3 - numDimensions; |
| 98 | unsigned int expandedConcatAxis = concatDim + expandedBy; |
| 99 | |
| 100 | if (expandedConcatAxis == 2) |
| 101 | { |
| 102 | concatDim = 0; |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 103 | PermutationVector forwardPermutation({1, 2, 0}); |
| 104 | PermutationVector reversePermutation({2, 0, 1}); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 105 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 106 | } |
| 107 | else if (expandedConcatAxis == 1) |
| 108 | { |
| 109 | concatDim = 0; |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 110 | PermutationVector forwardPermutation({2, 0, 1}); |
| 111 | PermutationVector reversePermutation({1, 2, 0}); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 112 | permutations = std::make_pair(forwardPermutation, reversePermutation); |
| 113 | } |
| 114 | else |
| 115 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 116 | ARMNN_ASSERT(expandedConcatAxis == 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 117 | concatDim = 0; |
| 118 | } |
| 119 | } |
| 120 | |
| 121 | template<typename T> void PermuteTensorData( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 122 | IWorkloadFactory& workloadFactory, |
| 123 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 124 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 125 | const PermutationVector& mappings, |
| 126 | TensorInfo & inputTensorInfo, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 127 | const T * inputData, |
| 128 | std::vector<T>& outputData) |
| 129 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 130 | IgnoreUnused(memoryManager); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 131 | ARMNN_ASSERT_MSG(inputData != nullptr, "inputData must not be null"); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 132 | if (inputData == nullptr) |
| 133 | { |
| 134 | // Nullptr is an error in the test. By returning without doing the concatenation |
| 135 | // I expect the caller to fail the test. It still makes sense to report this as |
| 136 | // an assert for Debug builds. |
| 137 | return; |
| 138 | } |
| 139 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 140 | TensorInfo outputTensorInfo = armnnUtils::Permuted(inputTensorInfo, mappings); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 141 | std::unique_ptr<ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo); |
| 142 | std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 143 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 144 | PermuteQueueDescriptor queueDescriptor; |
| 145 | queueDescriptor.m_Parameters = PermuteDescriptor{mappings}; |
| 146 | WorkloadInfo workloadInfo; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 147 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfo, inputHandle.get()); |
| 148 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 149 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame^] | 150 | std::unique_ptr<IWorkload> workload = workloadFactory.CreateWorkload(LayerType::Permute, |
| 151 | queueDescriptor, |
| 152 | workloadInfo); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 153 | |
| 154 | inputHandle->Allocate(); |
| 155 | outputHandle->Allocate(); |
| 156 | |
| 157 | CopyDataToITensorHandle(inputHandle.get(), inputData); |
| 158 | |
| 159 | workload->PostAllocationConfigure(); |
| 160 | workload->Execute(); |
| 161 | |
| 162 | outputData.resize(outputTensorInfo.GetNumElements()); |
| 163 | CopyDataFromITensorHandle(&outputData[0], outputHandle.get()); |
| 164 | inputTensorInfo = outputTensorInfo; |
| 165 | } |
| 166 | |
| 167 | // |
| 168 | // Permute the input tensors so we can do a supported concatenation. |
| 169 | // Also treat lower than 3d tensors as 3d by adding dummy 1 dimensions |
| 170 | // at the front. Finally this function tells what the output shape |
| 171 | // of the permuted concatenated tensor is going to be. |
| 172 | // |
| 173 | template<typename T> void PermuteInputsForConcat( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 174 | IWorkloadFactory& workloadFactory, |
| 175 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 176 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 177 | std::vector<TensorInfo> & inputTensorInfos, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 178 | std::vector<T *> & inputData, |
| 179 | std::vector<std::vector<T>> & inputDataStorage, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 180 | PermutationVector & permuteVector, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 181 | unsigned int & concatDim, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 182 | TensorInfo & outputTensorInfo) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 183 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 184 | IgnoreUnused(memoryManager); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 185 | ARMNN_ASSERT_MSG(inputTensorInfos.size() > 1, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 186 | "Expecting more than one tensor to be concatenated here"); |
| 187 | |
| 188 | unsigned int numDims = 0; |
| 189 | unsigned int nthInput = 0; |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 190 | const PermutationVector identity({0, 1, 2}); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 191 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 192 | std::pair<PermutationVector, PermutationVector> permutations = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 193 | std::make_pair(identity, identity); |
| 194 | |
| 195 | inputDataStorage.resize(inputData.size()); |
| 196 | |
| 197 | for (auto && tensorInfo : inputTensorInfos) |
| 198 | { |
| 199 | if (numDims == 0) |
| 200 | { |
| 201 | numDims = tensorInfo.GetShape().GetNumDimensions(); |
| 202 | Generate3dPermuteVectorForConcat(numDims, concatDim, permutations); |
| 203 | |
| 204 | // Store the reverese permutation. |
| 205 | permuteVector = permutations.second; |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 206 | ARMNN_ASSERT_MSG(!permuteVector.IsEqual(identity), |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 207 | "Test logic error, we don't need permutation, so we shouldn't arrive here"); |
| 208 | } |
| 209 | else |
| 210 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 211 | ARMNN_ASSERT_MSG(numDims == tensorInfo.GetShape().GetNumDimensions(), |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 212 | "All inputs must have the same number of dimensions"); |
| 213 | } |
| 214 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 215 | TensorInfo newTensorInfo = tensorInfo; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 216 | newTensorInfo.SetShape(ExpandTensorShapeTo3dForPermute(tensorInfo.GetShape())); |
| 217 | |
| 218 | PermuteTensorData<T>(workloadFactory, |
| 219 | memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 220 | tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 221 | permutations.first, |
| 222 | newTensorInfo, |
| 223 | inputData[nthInput], |
| 224 | inputDataStorage[nthInput]); |
| 225 | |
| 226 | inputData[nthInput] = inputDataStorage[nthInput].data(); |
| 227 | inputTensorInfos[nthInput] = newTensorInfo; |
| 228 | |
| 229 | ++nthInput; |
| 230 | } |
| 231 | |
| 232 | outputTensorInfo.SetShape( |
| 233 | armnnUtils::Permuted( |
| 234 | ExpandTensorShapeTo3dForPermute(outputTensorInfo.GetShape()), |
| 235 | permutations.first)); |
| 236 | } |
| 237 | |
| 238 | // |
| 239 | // This is the pair of PermuteInputsForConcat(...) which permutes back |
| 240 | // the output of the concatenation so we can check it against an expected |
| 241 | // output. |
| 242 | // |
| 243 | template <typename T> void PermuteOutputForConcat( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 244 | IWorkloadFactory& workloadFactory, |
| 245 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 246 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 247 | const TensorInfo & tensorInfo, |
| 248 | const PermutationVector & permuteVector, |
| 249 | std::unique_ptr<ITensorHandle> && inputDataHandle, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 250 | T * data) |
| 251 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 252 | ARMNN_ASSERT_MSG(data != nullptr, "data must not be null"); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 253 | if (data == nullptr) |
| 254 | { |
| 255 | // Nullptr is an error in the test. By returning without doing the permutation |
| 256 | // I expect the caller to fail the test. It still makes sense to report this as |
| 257 | // an assert for Debug builds. |
| 258 | return; |
| 259 | } |
| 260 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 261 | TensorInfo resultTensorInfo = tensorInfo; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 262 | std::vector<T> inputData(tensorInfo.GetNumElements()); |
| 263 | std::vector<T> outputData; |
| 264 | |
| 265 | CopyDataFromITensorHandle(&inputData[0], inputDataHandle.get()); |
| 266 | |
| 267 | PermuteTensorData<T>(workloadFactory, |
| 268 | memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 269 | tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 270 | permuteVector, |
| 271 | resultTensorInfo, |
| 272 | &inputData[0], |
| 273 | outputData); |
| 274 | |
| 275 | ::memcpy(data, &outputData[0], sizeof(T)*outputData.size()); |
| 276 | } |
| 277 | |
| 278 | template<typename T> void Concatenate( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 279 | IWorkloadFactory& workloadFactory, |
| 280 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 281 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 282 | std::initializer_list<const TensorInfo> inputTensorInfosOrig, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 283 | std::initializer_list<T *> inputsOrig, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 284 | const TensorInfo& outputTensorInfoOrig, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 285 | T * output, |
| 286 | unsigned int concatDim, |
| 287 | bool useSubtensor) |
| 288 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 289 | ARMNN_ASSERT_MSG(output != nullptr, "output must not be null"); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 290 | if (output == nullptr) |
| 291 | { |
| 292 | // Nullptr is an error in the test. By returning without doing the permutation |
| 293 | // I expect the caller to fail the test. It still makes sense to report this as |
| 294 | // an assert for Debug builds. |
| 295 | return; |
| 296 | } |
| 297 | |
| 298 | // Saves a copy of the parameters which we might need to change. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 299 | std::vector<TensorInfo> inputTensorInfos(inputTensorInfosOrig.begin(), inputTensorInfosOrig.end()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 300 | std::vector<T *> inputs = inputsOrig; |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 301 | TensorInfo outputTensorInfo = outputTensorInfoOrig; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 302 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 303 | PermutationVector permuteVector{0, 1, 2}; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 304 | |
| 305 | // Holds and automatically releases memory for the reshaped input data. |
| 306 | std::vector<std::vector<T>> tmpInputDataStorage; |
| 307 | |
| 308 | const size_t inputCount = inputTensorInfos.size(); |
| 309 | |
| 310 | bool needPermuteForConcat = NeedPermuteForConcat(inputTensorInfos, concatDim); |
| 311 | |
| 312 | if (needPermuteForConcat) |
| 313 | { |
| 314 | // |
| 315 | // We need to permute the inputs, because concatenation along |
| 316 | // the requested axis is not supported. |
| 317 | // |
| 318 | PermuteInputsForConcat<T>(workloadFactory, |
| 319 | memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 320 | tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 321 | inputTensorInfos, |
| 322 | inputs, |
| 323 | tmpInputDataStorage, |
| 324 | permuteVector, |
| 325 | concatDim, |
| 326 | outputTensorInfo); |
| 327 | } |
| 328 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 329 | WorkloadInfo workloadInfo; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 330 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 331 | std::vector<std::unique_ptr<ITensorHandle>> inputHandles; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 332 | inputHandles.reserve(inputCount); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 333 | |
| 334 | std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
| 335 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 336 | ConcatQueueDescriptor queueDescriptor; |
| 337 | OriginsDescriptor viewsDescriptor = CreateDescriptorForConcat(inputTensorInfos, concatDim); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 338 | queueDescriptor.m_Parameters = viewsDescriptor; |
| 339 | |
| 340 | if (useSubtensor) |
| 341 | { |
| 342 | queueDescriptor.m_ViewOrigins.reserve(viewsDescriptor.GetNumViews()); |
| 343 | for (unsigned int i = 0; i < viewsDescriptor.GetNumViews(); ++i) |
| 344 | { |
| 345 | queueDescriptor.m_ViewOrigins.emplace_back(std::vector<unsigned int>(viewsDescriptor.GetViewOrigin(i), |
| 346 | viewsDescriptor.GetViewOrigin(i) + viewsDescriptor.GetNumDimensions())); |
| 347 | } |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 348 | |
| 349 | outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
| 350 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 351 | const bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 352 | for (unsigned int i = 0; i < inputCount; ++i) |
| 353 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 354 | const TensorInfo& inputTensorInfo = inputTensorInfos[i]; |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 355 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 356 | std::unique_ptr<ITensorHandle> inputHandle = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 357 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 358 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 359 | inputTensorInfo.GetShape(), |
| 360 | queueDescriptor.m_ViewOrigins[i].m_Origin.data()) : |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 361 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo); |
| 362 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 363 | inputHandles.emplace_back(std::move(inputHandle)); |
| 364 | } |
| 365 | |
Teresa Charlin | fbf0e5b | 2020-08-17 01:01:06 +0100 | [diff] [blame] | 366 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 367 | } |
| 368 | else |
| 369 | { |
| 370 | for (unsigned int i = 0; i < inputCount; ++i) |
| 371 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 372 | std::unique_ptr<ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfos[i]); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 373 | inputHandles.emplace_back(std::move(inputHandle)); |
| 374 | } |
| 375 | } |
| 376 | |
| 377 | for (unsigned int i = 0; i < inputCount; ++i) |
| 378 | { |
| 379 | AddInputToWorkload(queueDescriptor, workloadInfo, inputTensorInfos[i], inputHandles[i].get()); |
| 380 | } |
| 381 | |
| 382 | AddOutputToWorkload(queueDescriptor, workloadInfo, outputTensorInfo, outputHandle.get()); |
| 383 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame^] | 384 | std::unique_ptr<IWorkload> workload |
| 385 | = workloadFactory.CreateWorkload(LayerType::Concat, queueDescriptor, workloadInfo); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 386 | |
| 387 | for (auto& inputHandle : inputHandles) |
| 388 | { |
| 389 | inputHandle->Allocate(); |
| 390 | } |
| 391 | |
| 392 | outputHandle->Allocate(); |
| 393 | |
| 394 | unsigned int nextInputId = 0; |
| 395 | for (auto& inputHandle : inputHandles) |
| 396 | { |
| 397 | CopyDataToITensorHandle(inputHandle.get(), inputs[nextInputId]); |
| 398 | ++nextInputId; |
| 399 | } |
| 400 | |
| 401 | workload->PostAllocationConfigure(); |
| 402 | workload->Execute(); |
| 403 | |
| 404 | if (needPermuteForConcat) |
| 405 | { |
| 406 | PermuteOutputForConcat<T>(workloadFactory, |
| 407 | memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 408 | tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 409 | outputTensorInfo, |
| 410 | permuteVector, |
| 411 | std::move(outputHandle), |
| 412 | output); |
| 413 | } |
| 414 | else |
| 415 | { |
| 416 | CopyDataFromITensorHandle(output, outputHandle.get()); |
| 417 | } |
| 418 | } |
| 419 | |
| 420 | // |
| 421 | // Implementation templates |
| 422 | // |
| 423 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 424 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 425 | LayerTestResult<T, 1> Concat1dTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 426 | IWorkloadFactory& workloadFactory, |
| 427 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 428 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 429 | float qScale, |
| 430 | int32_t qOffset) |
| 431 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 432 | TensorInfo inputTensorInfo({ 3 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 433 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 434 | auto input0 = QuantizedVector<T>({ 1.0f, 2.0f, 3.0f }, qScale, qOffset); |
| 435 | auto input1 = QuantizedVector<T>({ 4.0f, 5.0f, 6.0f }, qScale, qOffset); |
| 436 | auto input2 = QuantizedVector<T>({ 7.0f, 8.0f, 9.0f }, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 437 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 438 | TensorInfo outputTensorInfo({ 9 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 439 | |
| 440 | LayerTestResult<T, 1> result(outputTensorInfo); |
| 441 | |
| 442 | std::vector<T> output; |
| 443 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 444 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 445 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 446 | { input0.data(), input1.data(), input2.data() }, |
| 447 | outputTensorInfo, |
| 448 | output.data(), |
| 449 | 0, |
| 450 | true); |
| 451 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 452 | result.m_ActualData = output; |
| 453 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 454 | { |
| 455 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f |
| 456 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 457 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 458 | |
| 459 | return result; |
| 460 | } |
| 461 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 462 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 463 | LayerTestResult<T, 2> Concat2dTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 464 | IWorkloadFactory& workloadFactory, |
| 465 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 466 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 467 | const TensorInfo& outputTensorInfo, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 468 | unsigned int dimension, |
| 469 | const float qScale, |
| 470 | const int32_t qOffset) |
| 471 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 472 | TensorInfo inputTensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 473 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 474 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 475 | { |
| 476 | // Batch 0 |
| 477 | 1.0f, 2.0f, 3.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 478 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 479 | // Batch 1 |
| 480 | 10.0f, 11.0f, 12.0f, |
| 481 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 482 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 483 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 484 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 485 | { |
| 486 | // Batch 0 |
| 487 | 4.0f, 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 488 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 489 | // Batch 1 |
| 490 | 13.0f, 14.0f, 15.0f, |
| 491 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 492 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 493 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 494 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 495 | { |
| 496 | // Batch 0 |
| 497 | 7.0f, 8.0f, 9.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 498 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 499 | // Batch 1 |
| 500 | 16.0f, 17.0f, 18.0f, |
| 501 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 502 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 503 | |
| 504 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 505 | |
| 506 | std::vector<T> output; |
| 507 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 508 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 509 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 510 | { input0.data(), input1.data(), input2.data() }, |
| 511 | outputTensorInfo, |
| 512 | output.data(), |
| 513 | dimension, |
| 514 | true); |
| 515 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 516 | result.m_ActualData = output; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 517 | return result; |
| 518 | } |
| 519 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 520 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 521 | LayerTestResult<T, 2> Concat2dDim0TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 522 | IWorkloadFactory& workloadFactory, |
| 523 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 524 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 525 | float qScale, |
| 526 | int32_t qOffset) |
| 527 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 528 | TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 529 | |
| 530 | LayerTestResult<T, 2> result = Concat2dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 531 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 0, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 532 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 533 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 534 | { |
| 535 | // Batch 0 |
| 536 | 1.0f, 2.0f, 3.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 537 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 538 | // Batch 1 |
| 539 | 10.0f, 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 540 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 541 | // Batch 2 |
| 542 | 4.0f, 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 543 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 544 | // Batch 3 |
| 545 | 13.0f, 14.0f, 15.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 546 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 547 | // Batch 4 |
| 548 | 7.0f, 8.0f, 9.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 549 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 550 | // Batch 5 |
| 551 | 16.0f, 17.0f, 18.0f, |
| 552 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 553 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 554 | |
| 555 | return result; |
| 556 | } |
| 557 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 558 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 559 | LayerTestResult<T, 2> Concat2dDim1TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 560 | IWorkloadFactory& workloadFactory, |
| 561 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 562 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 563 | float qScale, |
| 564 | int32_t qOffset) |
| 565 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 566 | TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 567 | |
| 568 | LayerTestResult<T, 2> result = Concat2dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 569 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 1, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 570 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 571 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 572 | { |
| 573 | // Batch 0 |
| 574 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 575 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 576 | // Batch 1 |
| 577 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f |
| 578 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 579 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 580 | |
| 581 | return result; |
| 582 | } |
| 583 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 584 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 585 | LayerTestResult<T, 2> Concat2dDim0DiffInputDimsTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 586 | IWorkloadFactory& workloadFactory, |
| 587 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 588 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 589 | float qScale, |
| 590 | int32_t qOffset) |
| 591 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 592 | TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 593 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 594 | { |
| 595 | // Batch 0 |
| 596 | 1.0f, 2.0f, 3.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 597 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 598 | // Batch 1 |
| 599 | 10.0f, 11.0f, 12.0f, |
| 600 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 601 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 602 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 603 | TensorInfo input1TensorInfo({ 3, 3 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 604 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 605 | { |
| 606 | // Batch 0 |
| 607 | 4.0f, 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 608 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 609 | // Batch 1 |
| 610 | 13.0f, 14.0f, 15.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 611 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 612 | // Batch 0 |
| 613 | 7.0f, 8.0f, 9.0f, |
| 614 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 615 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 616 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 617 | TensorInfo input2TensorInfo({ 1, 3 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 618 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 619 | { |
| 620 | // Batch 1 |
| 621 | 16.0f, 17.0f, 18.0f, |
| 622 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 623 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 624 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 625 | TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 626 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 627 | |
| 628 | std::vector<T> output; |
| 629 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 630 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 631 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 632 | { input0.data(), input1.data(), input2.data() }, |
| 633 | outputTensorInfo, |
| 634 | output.data(), |
| 635 | 0, |
| 636 | true); |
| 637 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 638 | result.m_ActualData = output; |
| 639 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 640 | { |
| 641 | // Batch 0 |
| 642 | 1.0f, 2.0f, 3.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 643 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 644 | // Batch 1 |
| 645 | 10.0f, 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 646 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 647 | // Batch 2 |
| 648 | 4.0f, 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 649 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 650 | // Batch 3 |
| 651 | 13.0f, 14.0f, 15.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 652 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 653 | // Batch 4 |
| 654 | 7.0f, 8.0f, 9.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 655 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 656 | // Batch 5 |
| 657 | 16.0f, 17.0f, 18.0f, |
| 658 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 659 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 660 | |
| 661 | return result; |
| 662 | } |
| 663 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 664 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 665 | LayerTestResult<T, 2> Concat2dDim1DiffInputDimsTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 666 | IWorkloadFactory& workloadFactory, |
| 667 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 668 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 669 | float qScale, |
| 670 | int32_t qOffset) |
| 671 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 672 | TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 673 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 674 | { |
| 675 | // Batch 0 |
| 676 | 1.0f, 2.0f, 3.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 677 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 678 | // Batch 1 |
| 679 | 10.0f, 11.0f, 12.0f, |
| 680 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 681 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 682 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 683 | TensorInfo input1TensorInfo({ 2, 5 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 684 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 685 | { |
| 686 | // Batch 0 |
| 687 | 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 688 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 689 | // Batch 1 |
| 690 | 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, |
| 691 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 692 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 693 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 694 | TensorInfo input2TensorInfo({ 2, 1 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 695 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 696 | { |
| 697 | // Batch 0 |
| 698 | 9.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 699 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 700 | // Batch 1 |
| 701 | 18.0f |
| 702 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 703 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 704 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 705 | TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 706 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 707 | |
| 708 | std::vector<T> output; |
| 709 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 710 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 711 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 712 | { input0.data(), input1.data(), input2.data() }, |
| 713 | outputTensorInfo, |
| 714 | output.data(), |
| 715 | 1, |
| 716 | true); |
| 717 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 718 | result.m_ActualData = output; |
| 719 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 720 | { |
| 721 | // Batch 0 |
| 722 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 723 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 724 | // Batch 1 |
| 725 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, |
| 726 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 727 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 728 | |
| 729 | return result; |
| 730 | } |
| 731 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 732 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 733 | LayerTestResult<T, 3> Concat3dTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 734 | IWorkloadFactory& workloadFactory, |
| 735 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 736 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 737 | const TensorInfo& outputTensorInfo, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 738 | unsigned int dimension, |
| 739 | bool useSubtensor, |
| 740 | float qScale, |
| 741 | int32_t qOffset) |
| 742 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 743 | TensorInfo inputTensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 744 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 745 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 746 | { |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 747 | // Batch 0, Channel 0 |
| 748 | 1.0f, 2.0f, |
| 749 | |
| 750 | // Batch 0, Channel 1 |
| 751 | 3.0f, 4.0f, |
| 752 | |
| 753 | // Batch 0, Channel 2 |
| 754 | 5.0f, 6.0f, |
| 755 | |
| 756 | // Batch 1, Channel 0 |
| 757 | 19.0f, 20.0f, |
| 758 | |
| 759 | // Batch 1, Channel 1 |
| 760 | 21.0f, 22.0f, |
| 761 | |
| 762 | // Batch 1, Channel 2 |
| 763 | 23.0f, 24.0f |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 764 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 765 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 766 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 767 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 768 | { |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 769 | // Batch 0, Channel 0 |
| 770 | 7.0f, 8.0f, |
| 771 | |
| 772 | // Batch 0, Channel 1 |
| 773 | 9.0f, 10.0f, |
| 774 | |
| 775 | // Batch 0, Channel 2 |
| 776 | 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 777 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 778 | // Batch 1, Channel 0 |
| 779 | 25.0f, 26.0f, |
| 780 | |
| 781 | // Batch 1, Channel 1 |
| 782 | 27.0f, 28.0f, |
| 783 | |
| 784 | // Batch 1, Channel 2 |
| 785 | 29.0f, 30.0f |
| 786 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 787 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 788 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 789 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 790 | { |
| 791 | // Batch 0, Channel 0 |
| 792 | 13.0f, 14.0f, |
| 793 | |
| 794 | // Batch 0, Channel 1 |
| 795 | 15.0f, 16.0f, |
| 796 | |
| 797 | // Batch 0, Channel 2 |
| 798 | 17.0f, 18.0f, |
| 799 | |
| 800 | // Batch 1, Channel 0 |
| 801 | 31.0f, 32.0f, |
| 802 | |
| 803 | // Batch 1, Channel 1 |
| 804 | 33.0f, 34.0f, |
| 805 | |
| 806 | // Batch 1, Channel 2 |
| 807 | 35.0f, 36.0f |
| 808 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 809 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 810 | |
| 811 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 812 | |
| 813 | std::vector<T> output; |
| 814 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 815 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 816 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 817 | { input0.data(), input1.data(), input2.data() }, |
| 818 | outputTensorInfo, |
| 819 | output.data(), |
| 820 | dimension, |
| 821 | useSubtensor); |
| 822 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 823 | result.m_ActualData = output; |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 824 | return result; |
| 825 | } |
| 826 | |
| 827 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
| 828 | LayerTestResult<T, 3> Concat3dDim0TestImpl( |
| 829 | IWorkloadFactory& workloadFactory, |
| 830 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 831 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 832 | float qScale, |
| 833 | int32_t qOffset) |
| 834 | { |
| 835 | TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType, qScale, qOffset); |
| 836 | |
| 837 | LayerTestResult<T, 3> result = Concat3dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 838 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 0, true, qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 839 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 840 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 841 | { |
| 842 | // Batch 0, Channel 0 |
| 843 | 1.0f, 2.0f, |
| 844 | |
| 845 | // Batch 0, Channel 1 |
| 846 | 3.0f, 4.0f, |
| 847 | |
| 848 | // Batch 0, Channel 2 |
| 849 | 5.0f, 6.0f, |
| 850 | |
| 851 | // Batch 1, Channel 0 |
| 852 | 19.0f, 20.0f, |
| 853 | |
| 854 | // Batch 1, Channel 1 |
| 855 | 21.0f, 22.0f, |
| 856 | |
| 857 | // Batch 1, Channel 2 |
| 858 | 23.0f, 24.0f, |
| 859 | |
| 860 | // Batch 2, Channel 0 |
| 861 | 7.0f, 8.0f, |
| 862 | |
| 863 | // Batch 2, Channel 1 |
| 864 | 9.0f, 10.0f, |
| 865 | |
| 866 | // Batch 2, Channel 2 |
| 867 | 11.0f, 12.0f, |
| 868 | |
| 869 | // Batch 3, Channel 0 |
| 870 | 25.0f, 26.0f, |
| 871 | |
| 872 | // Batch 3, Channel 1 |
| 873 | 27.0f, 28.0f, |
| 874 | |
| 875 | // Batch 3, Channel 2 |
| 876 | 29.0f, 30.0f, |
| 877 | |
| 878 | // Batch 4, Channel 0 |
| 879 | 13.0f, 14.0f, |
| 880 | |
| 881 | // Batch 4, Channel 1 |
| 882 | 15.0f, 16.0f, |
| 883 | |
| 884 | // Batch 4, Channel 2 |
| 885 | 17.0f, 18.0f, |
| 886 | |
| 887 | // Batch 5, Channel 0 |
| 888 | 31.0f, 32.0f, |
| 889 | |
| 890 | // Batch 5, Channel 1 |
| 891 | 33.0f, 34.0f, |
| 892 | |
| 893 | // Batch 5, Channel 2 |
| 894 | 35.0f, 36.0f |
| 895 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 896 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 897 | |
| 898 | return result; |
| 899 | } |
| 900 | |
| 901 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
| 902 | LayerTestResult<T, 3> Concat3dDim1TestImpl( |
| 903 | IWorkloadFactory& workloadFactory, |
| 904 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 905 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 906 | float qScale, |
| 907 | int32_t qOffset) |
| 908 | { |
| 909 | TensorInfo outputTensorInfo({ 2, 9, 2 }, ArmnnType, qScale, qOffset); |
| 910 | |
| 911 | LayerTestResult<T, 3> result = Concat3dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 912 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 1, true, qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 913 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 914 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 915 | { |
| 916 | // Batch 0, Channel 0 |
| 917 | 1.0f, 2.0f, |
| 918 | |
| 919 | // Batch 0, Channel 1 |
| 920 | 3.0f, 4.0f, |
| 921 | |
| 922 | // Batch 0, Channel 2 |
| 923 | 5.0f, 6.0f, |
| 924 | |
| 925 | // Batch 0, Channel 3 |
| 926 | 7.0f, 8.0f, |
| 927 | |
| 928 | // Batch 0, Channel 4 |
| 929 | 9.0f, 10.0f, |
| 930 | |
| 931 | // Batch 0, Channel 5 |
| 932 | 11.0f, 12.0f, |
| 933 | |
| 934 | // Batch 0, Channel 6 |
| 935 | 13.0f, 14.0f, |
| 936 | |
| 937 | // Batch 0, Channel 7 |
| 938 | 15.0f, 16.0f, |
| 939 | |
| 940 | // Batch 0, Channel 8 |
| 941 | 17.0f, 18.0f, |
| 942 | |
| 943 | // Batch 1, Channel 0 |
| 944 | 19.0f, 20.0f, |
| 945 | |
| 946 | // Batch 1, Channel 1 |
| 947 | 21.0f, 22.0f, |
| 948 | |
| 949 | // Batch 1, Channel 2 |
| 950 | 23.0f, 24.0f, |
| 951 | |
| 952 | // Batch 1, Channel 3 |
| 953 | 25.0f, 26.0f, |
| 954 | |
| 955 | // Batch 1, Channel 4 |
| 956 | 27.0f, 28.0f, |
| 957 | |
| 958 | // Batch 1, Channel 5 |
| 959 | 29.0f, 30.0f, |
| 960 | |
| 961 | // Batch 1, Channel 6 |
| 962 | 31.0f, 32.0f, |
| 963 | |
| 964 | // Batch 1, Channel 7 |
| 965 | 33.0f, 34.0f, |
| 966 | |
| 967 | // Batch 1, Channel 8 |
| 968 | 35.0f, 36.0f |
| 969 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 970 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 971 | |
| 972 | return result; |
| 973 | } |
| 974 | |
| 975 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
| 976 | LayerTestResult<T, 3> Concat3dDim2TestImpl( |
| 977 | IWorkloadFactory& workloadFactory, |
| 978 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 979 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 980 | bool useSubtensor, |
| 981 | float qScale, |
| 982 | int32_t qOffset) |
| 983 | { |
| 984 | TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
| 985 | |
| 986 | LayerTestResult<T, 3> result = Concat3dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 987 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 2, useSubtensor, qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 988 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 989 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 990 | { |
| 991 | // Batch 0, Channel 0 |
| 992 | 1.0f, 2.0f, 7.0f, 8.0f, 13.0f, 14.0f, |
| 993 | |
| 994 | // Batch 0, Channel 1 |
| 995 | 3.0f, 4.0f, 9.0f, 10.0f, 15.0f, 16.0f, |
| 996 | |
| 997 | // Batch 0, Channel 2 |
| 998 | 5.0f, 6.0f, 11.0f, 12.0f, 17.0f, 18.0f, |
| 999 | |
| 1000 | // Batch 1, Channel 0 |
| 1001 | 19.0f, 20.0f, 25.0f, 26.0f, 31.0f, 32.0f, |
| 1002 | |
| 1003 | // Batch 1, Channel 1 |
| 1004 | 21.0f, 22.0f, 27.0f, 28.0f, 33.0f, 34.0f, |
| 1005 | |
| 1006 | // Batch 1, Channel 2 |
| 1007 | 23.0f, 24.0f, 29.0f, 30.0f, 35.0f, 36.0f, |
| 1008 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1009 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1010 | |
| 1011 | return result; |
| 1012 | } |
| 1013 | |
| 1014 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
| 1015 | LayerTestResult<T, 3> Concat3dDim0DiffInputDimsTestImpl( |
| 1016 | IWorkloadFactory& workloadFactory, |
| 1017 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1018 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1019 | float qScale, |
| 1020 | int32_t qOffset) |
| 1021 | { |
| 1022 | TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1023 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1024 | { |
| 1025 | // Batch 0, Channel 0 |
| 1026 | 1.0f, 2.0f, |
| 1027 | |
| 1028 | // Batch 0, Channel 1 |
| 1029 | 3.0f, 4.0f, |
| 1030 | |
| 1031 | // Batch 0, Channel 2 |
| 1032 | 5.0f, 6.0f, |
| 1033 | |
| 1034 | // Batch 1, Channel 0 |
| 1035 | 19.0f, 20.0f, |
| 1036 | |
| 1037 | // Batch 1, Channel 1 |
| 1038 | 21.0f, 22.0f, |
| 1039 | |
| 1040 | // Batch 1, Channel 2 |
| 1041 | 23.0f, 24.0f |
| 1042 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1043 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1044 | |
| 1045 | TensorInfo input1TensorInfo({ 1, 3, 2 }, ArmnnType); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1046 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1047 | { |
| 1048 | // Batch 0, Channel 0 |
| 1049 | 7.0f, 8.0f, |
| 1050 | |
| 1051 | // Batch 0, Channel 1 |
| 1052 | 9.0f, 10.0f, |
| 1053 | |
| 1054 | // Batch 0, Channel 2 |
| 1055 | 11.0f, 12.0f, |
| 1056 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1057 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1058 | |
| 1059 | TensorInfo input2TensorInfo({ 3, 3, 2 }, ArmnnType); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1060 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1061 | { |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1062 | // Batch 0, Channel 0 |
| 1063 | 25.0f, 26.0f, |
| 1064 | |
| 1065 | // Batch 0, Channel 1 |
| 1066 | 27.0f, 28.0f, |
| 1067 | |
| 1068 | // Batch 0, Channel 2 |
| 1069 | 29.0f, 30.0f, |
| 1070 | |
| 1071 | // Batch 1, Channel 0 |
| 1072 | 13.0f, 14.0f, |
| 1073 | |
| 1074 | // Batch 1, Channel 1 |
| 1075 | 15.0f, 16.0f, |
| 1076 | |
| 1077 | // Batch 1, Channel 2 |
| 1078 | 17.0f, 18.0f, |
| 1079 | |
| 1080 | // Batch 2, Channel 0 |
| 1081 | 31.0f, 32.0f, |
| 1082 | |
| 1083 | // Batch 2, Channel 1 |
| 1084 | 33.0f, 34.0f, |
| 1085 | |
| 1086 | // Batch 2, Channel 2 |
| 1087 | 35.0f, 36.0f |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1088 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1089 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1090 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1091 | TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1092 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 1093 | |
| 1094 | std::vector<T> output; |
| 1095 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1096 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1097 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 1098 | { input0.data(), input1.data(), input2.data() }, |
| 1099 | outputTensorInfo, |
| 1100 | output.data(), |
| 1101 | 0, |
| 1102 | true); |
| 1103 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1104 | result.m_ActualData = output; |
| 1105 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1106 | { |
| 1107 | // Batch 0, Channel 0 |
| 1108 | 1.0f, 2.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1109 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1110 | // Batch 0, Channel 1 |
| 1111 | 3.0f, 4.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1112 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1113 | // Batch 0, Channel 2 |
| 1114 | 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1115 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1116 | // Batch 1, Channel 0 |
| 1117 | 19.0f, 20.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1118 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1119 | // Batch 1, Channel 1 |
| 1120 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1121 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1122 | // Batch 1, Channel 2 |
| 1123 | 23.0f, 24.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1124 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1125 | // Batch 2, Channel 0 |
| 1126 | 7.0f, 8.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1127 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1128 | // Batch 2, Channel 1 |
| 1129 | 9.0f, 10.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1130 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1131 | // Batch 2, Channel 2 |
| 1132 | 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1133 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1134 | // Batch 3, Channel 0 |
| 1135 | 25.0f, 26.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1136 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1137 | // Batch 3, Channel 1 |
| 1138 | 27.0f, 28.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1139 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1140 | // Batch 3, Channel 2 |
| 1141 | 29.0f, 30.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1142 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1143 | // Batch 4, Channel 0 |
| 1144 | 13.0f, 14.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1145 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1146 | // Batch 4, Channel 1 |
| 1147 | 15.0f, 16.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1148 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1149 | // Batch 4, Channel 2 |
| 1150 | 17.0f, 18.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1151 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1152 | // Batch 5, Channel 0 |
| 1153 | 31.0f, 32.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1154 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1155 | // Batch 5, Channel 1 |
| 1156 | 33.0f, 34.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1157 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1158 | // Batch 5, Channel 2 |
| 1159 | 35.0f, 36.0f |
| 1160 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1161 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1162 | |
| 1163 | return result; |
| 1164 | } |
| 1165 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1166 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1167 | LayerTestResult<T, 3> Concat3dDim1DiffInputDimsTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1168 | IWorkloadFactory& workloadFactory, |
| 1169 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1170 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1171 | float qScale, |
| 1172 | int32_t qOffset) |
| 1173 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1174 | TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1175 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1176 | { |
| 1177 | // Batch 0, Channel 0 |
| 1178 | 1.0f, 2.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1179 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1180 | // Batch 0, Channel 1 |
| 1181 | 3.0f, 4.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1182 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1183 | // Batch 0, Channel 2 |
| 1184 | 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1185 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1186 | // Batch 1, Channel 0 |
| 1187 | 19.0f, 20.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1188 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1189 | // Batch 1, Channel 1 |
| 1190 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1191 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1192 | // Batch 1, Channel 2 |
| 1193 | 23.0f, 24.0f |
| 1194 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1195 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1196 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1197 | TensorInfo input1TensorInfo({ 2, 4, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1198 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1199 | { |
| 1200 | // Batch 0, Channel 0 |
| 1201 | 7.0f, 8.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1202 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1203 | // Batch 0, Channel 1 |
| 1204 | 9.0f, 10.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1205 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1206 | // Batch 0, Channel 2 |
| 1207 | 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1208 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1209 | // Batch 0, Channel 3 |
| 1210 | 25.0f, 26.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1211 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1212 | // Batch 1, Channel 0 |
| 1213 | 27.0f, 28.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1214 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1215 | // Batch 1, Channel 1 |
| 1216 | 29.0f, 30.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1217 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1218 | // Batch 1, Channel 2 |
| 1219 | 13.0f, 14.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1220 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1221 | // Batch 1, Channel 3 |
| 1222 | 15.0f, 16.0f, |
| 1223 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1224 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1225 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1226 | TensorInfo input2TensorInfo({ 2, 1, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1227 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1228 | { |
| 1229 | // Batch 0, Channel 0 |
| 1230 | 17.0f, 18.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1231 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1232 | // Batch 1, Channel 0 |
| 1233 | 31.0f, 32.0f, |
| 1234 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1235 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1236 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1237 | TensorInfo outputTensorInfo({ 2, 8, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1238 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 1239 | |
| 1240 | std::vector<T> output; |
| 1241 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1242 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1243 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 1244 | { input0.data(), input1.data(), input2.data() }, |
| 1245 | outputTensorInfo, |
| 1246 | output.data(), |
| 1247 | 1, |
| 1248 | true); |
| 1249 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1250 | result.m_ActualData = output; |
| 1251 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1252 | { |
| 1253 | // Batch 0, Channel 0 |
| 1254 | 1.0f, 2.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1255 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1256 | // Batch 0, Channel 1 |
| 1257 | 3.0f, 4.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1258 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1259 | // Batch 0, Channel 2 |
| 1260 | 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1261 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1262 | // Batch 0, Channel 3 |
| 1263 | 7.0f, 8.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1264 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1265 | // Batch 0, Channel 4 |
| 1266 | 9.0f, 10.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1267 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1268 | // Batch 0, Channel 5 |
| 1269 | 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1270 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1271 | // Batch 0, Channel 6 |
| 1272 | 25.0f, 26.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1273 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1274 | // Batch 0, Channel 7 |
| 1275 | 17.0f, 18.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1276 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1277 | // Batch 1, Channel 0 |
| 1278 | 19.0f, 20.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1279 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1280 | // Batch 1, Channel 1 |
| 1281 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1282 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1283 | // Batch 1, Channel 2 |
| 1284 | 23.0f, 24.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1285 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1286 | // Batch 1, Channel 3 |
| 1287 | 27.0f, 28.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1288 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1289 | // Batch 1, Channel 4 |
| 1290 | 29.0f, 30.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1291 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1292 | // Batch 1, Channel 5 |
| 1293 | 13.0f, 14.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1294 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1295 | // Batch 1, Channel 6 |
| 1296 | 15.0f, 16.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1297 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1298 | // Batch 1, Channel 7 |
| 1299 | 31.0f, 32.0f, |
| 1300 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1301 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1302 | |
| 1303 | return result; |
| 1304 | } |
| 1305 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1306 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1307 | LayerTestResult<T, 3> Concat3dDim2DiffInputDimsTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1308 | IWorkloadFactory& workloadFactory, |
| 1309 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1310 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1311 | bool useSubtensor, |
| 1312 | float qScale, |
| 1313 | int32_t qOffset) |
| 1314 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1315 | TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1316 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1317 | { |
| 1318 | // Batch 0, Channel 0 |
| 1319 | 1.0f, 2.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1320 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1321 | // Batch 0, Channel 1 |
| 1322 | 3.0f, 4.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1323 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1324 | // Batch 0, Channel 2 |
| 1325 | 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1326 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1327 | // Batch 1, Channel 0 |
| 1328 | 19.0f, 20.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1329 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1330 | // Batch 1, Channel 1 |
| 1331 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1332 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1333 | // Batch 1, Channel 2 |
| 1334 | 23.0f, 24.0f |
| 1335 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1336 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1337 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1338 | TensorInfo input1TensorInfo({ 2, 3, 1 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1339 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1340 | { |
| 1341 | // Batch 0, Channel 0 |
| 1342 | 7.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1343 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1344 | // Batch 0, Channel 1 |
| 1345 | 9.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1346 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1347 | // Batch 0, Channel 2 |
| 1348 | 11.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1349 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1350 | // Batch 1, Channel 0 |
| 1351 | 25.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1352 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1353 | // Batch 1, Channel 1 |
| 1354 | 27.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1355 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1356 | // Batch 1, Channel 2 |
| 1357 | 29.0f |
| 1358 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1359 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1360 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1361 | TensorInfo input2TensorInfo({ 2, 3, 3 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1362 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1363 | { |
| 1364 | // Batch 0, Channel 0 |
| 1365 | 13.0f, 14.0f, 50.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1366 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1367 | // Batch 0, Channel 1 |
| 1368 | 15.0f, 16.0f, 51.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1369 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1370 | // Batch 0, Channel 2 |
| 1371 | 17.0f, 18.0f, 52.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1372 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1373 | // Batch 1, Channel 0 |
| 1374 | 31.0f, 32.0f, 53.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1375 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1376 | // Batch 1, Channel 1 |
| 1377 | 33.0f, 34.0f, 54.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1378 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1379 | // Batch 1, Channel 2 |
| 1380 | 35.0f, 36.0f, 55.0f, |
| 1381 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1382 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1383 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1384 | TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1385 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 1386 | |
| 1387 | std::vector<T> output; |
| 1388 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1389 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1390 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 1391 | { input0.data(), input1.data(), input2.data() }, |
| 1392 | outputTensorInfo, |
| 1393 | output.data(), |
| 1394 | 2, |
| 1395 | useSubtensor); |
| 1396 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1397 | result.m_ActualData = output; |
| 1398 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1399 | { |
| 1400 | // Batch 0, Channel 0 |
| 1401 | 1.0f, 2.0f, 7.0f, 13.0f, 14.0f, 50.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1402 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1403 | // Batch 0, Channel 1 |
| 1404 | 3.0f, 4.0f, 9.0f, 15.0f, 16.0f, 51.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1405 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1406 | // Batch 0, Channel 2 |
| 1407 | 5.0f, 6.0f, 11.0f, 17.0f, 18.0f, 52.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1408 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1409 | // Batch 1, Channel 0 |
| 1410 | 19.0f, 20.0f, 25.0f, 31.0f, 32.0f, 53.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1411 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1412 | // Batch 1, Channel 1 |
| 1413 | 21.0f, 22.0f, 27.0f, 33.0f, 34.0f, 54.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1414 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1415 | // Batch 1, Channel 2 |
| 1416 | 23.0f, 24.0f, 29.0f, 35.0f, 36.0f, 55.0f, |
| 1417 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1418 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1419 | |
| 1420 | return result; |
| 1421 | } |
| 1422 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1423 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1424 | LayerTestResult<T, 4> Concat4dTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1425 | IWorkloadFactory& workloadFactory, |
| 1426 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1427 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1428 | const TensorInfo& outputTensorInfo, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1429 | unsigned int dimension, |
| 1430 | bool useSubtensor, |
| 1431 | float qScale, |
| 1432 | int32_t qOffset) |
| 1433 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1434 | TensorInfo inputTensorInfo({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1435 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1436 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1437 | { |
| 1438 | 1.0f, 2.0f, |
| 1439 | 3.0f, 4.0f, |
| 1440 | 5.0f, 6.0f, |
| 1441 | 7.0f, 8.0f, |
| 1442 | 9.0f, 10.0f, |
| 1443 | 11.0f, 12.0f |
| 1444 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1445 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1446 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1447 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1448 | { |
| 1449 | 11.0f, 12.0f, |
| 1450 | 13.0f, 14.0f, |
| 1451 | 15.0f, 16.0f, |
| 1452 | 17.0f, 18.0f, |
| 1453 | 19.0f, 20.0f, |
| 1454 | 21.0f, 22.0f |
| 1455 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1456 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1457 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1458 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1459 | { |
| 1460 | 21.0f, 22.0f, |
| 1461 | 23.0f, 24.0f, |
| 1462 | 25.0f, 26.0f, |
| 1463 | 27.0f, 28.0f, |
| 1464 | 29.0f, 30.0f, |
| 1465 | 31.0f, 32.0f |
| 1466 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1467 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1468 | |
| 1469 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 1470 | |
| 1471 | std::vector<T> output; |
| 1472 | output.resize(outputTensorInfo.GetNumElements()); |
| 1473 | |
| 1474 | Concatenate<T>(workloadFactory, |
| 1475 | memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1476 | tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1477 | {inputTensorInfo, inputTensorInfo, inputTensorInfo}, |
| 1478 | {input0.data(), input1.data(), input2.data()}, |
| 1479 | outputTensorInfo, |
| 1480 | output.data(), |
| 1481 | dimension, |
| 1482 | useSubtensor); |
| 1483 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1484 | result.m_ActualData = output; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1485 | return result; |
| 1486 | } |
| 1487 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1488 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1489 | LayerTestResult<T, 4> Concat4dDim0TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1490 | IWorkloadFactory& workloadFactory, |
| 1491 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1492 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1493 | float qScale, |
| 1494 | int32_t qOffset) |
| 1495 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1496 | TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1497 | |
| 1498 | LayerTestResult<T, 4> result = Concat4dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1499 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 0, true, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1500 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1501 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1502 | { |
| 1503 | 1.0f, 2.0f, |
| 1504 | 3.0f, 4.0f, |
| 1505 | 5.0f, 6.0f, |
| 1506 | 7.0f, 8.0f, |
| 1507 | 9.0f, 10.0f, |
| 1508 | 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1509 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1510 | 11.0f, 12.0f, |
| 1511 | 13.0f, 14.0f, |
| 1512 | 15.0f, 16.0f, |
| 1513 | 17.0f, 18.0f, |
| 1514 | 19.0f, 20.0f, |
| 1515 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1516 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1517 | 21.0f, 22.0f, |
| 1518 | 23.0f, 24.0f, |
| 1519 | 25.0f, 26.0f, |
| 1520 | 27.0f, 28.0f, |
| 1521 | 29.0f, 30.0f, |
| 1522 | 31.0f, 32.0f |
| 1523 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1524 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1525 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1526 | return result; |
| 1527 | } |
| 1528 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1529 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1530 | LayerTestResult<T, 4> Concat4dDim1TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1531 | IWorkloadFactory& workloadFactory, |
| 1532 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1533 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1534 | float qScale, |
| 1535 | int32_t qOffset) |
| 1536 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1537 | TensorInfo outputTensorInfo({ 1, 9, 2, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1538 | |
| 1539 | LayerTestResult<T, 4> result = Concat4dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1540 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 1, true, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1541 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1542 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1543 | { |
| 1544 | 1.0f, 2.0f, |
| 1545 | 3.0f, 4.0f, |
| 1546 | 5.0f, 6.0f, |
| 1547 | 7.0f, 8.0f, |
| 1548 | 9.0f, 10.0f, |
| 1549 | 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1550 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1551 | 11.0f, 12.0f, |
| 1552 | 13.0f, 14.0f, |
| 1553 | 15.0f, 16.0f, |
| 1554 | 17.0f, 18.0f, |
| 1555 | 19.0f, 20.0f, |
| 1556 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1557 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1558 | 21.0f, 22.0f, |
| 1559 | 23.0f, 24.0f, |
| 1560 | 25.0f, 26.0f, |
| 1561 | 27.0f, 28.0f, |
| 1562 | 29.0f, 30.0f, |
| 1563 | 31.0f, 32.0f |
| 1564 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1565 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1566 | |
| 1567 | return result; |
| 1568 | } |
| 1569 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1570 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1571 | LayerTestResult<T, 4> Concat4dDim2TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1572 | IWorkloadFactory& workloadFactory, |
| 1573 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1574 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1575 | float qScale, |
| 1576 | int32_t qOffset) |
| 1577 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1578 | TensorInfo outputTensorInfo({ 1, 3, 6, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1579 | |
| 1580 | LayerTestResult<T, 4> result = Concat4dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1581 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 2, true, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1582 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1583 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1584 | { |
| 1585 | 1.0f, 2.0f, |
| 1586 | 3.0f, 4.0f, |
| 1587 | 11.0f, 12.0f, |
| 1588 | 13.0f, 14.0f, |
| 1589 | 21.0f, 22.0f, |
| 1590 | 23.0f, 24.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1591 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1592 | 5.0f, 6.0f, |
| 1593 | 7.0f, 8.0f, |
| 1594 | 15.0f, 16.0f, |
| 1595 | 17.0f, 18.0f, |
| 1596 | 25.0f, 26.0f, |
| 1597 | 27.0f, 28.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1598 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1599 | 9.0f, 10.0f, |
| 1600 | 11.0f, 12.0f, |
| 1601 | 19.0f, 20.0f, |
| 1602 | 21.0f, 22.0f, |
| 1603 | 29.0f, 30.0f, |
| 1604 | 31.0f, 32.0f |
| 1605 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1606 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1607 | |
| 1608 | return result; |
| 1609 | } |
| 1610 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1611 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1612 | LayerTestResult<T, 4> Concat4dDim3TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1613 | IWorkloadFactory& workloadFactory, |
| 1614 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1615 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1616 | float qScale, |
| 1617 | int32_t qOffset, |
| 1618 | bool useSubtensor) |
| 1619 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1620 | TensorInfo outputTensorInfo({ 1, 3, 2, 6 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1621 | |
| 1622 | LayerTestResult<T, 4> result = Concat4dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1623 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 3, useSubtensor, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1624 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1625 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1626 | { |
| 1627 | 1.0f, 2.0f, |
| 1628 | 11.0f, 12.0f, |
| 1629 | 21.0f, 22.0f, |
| 1630 | 3.0f, 4.0f, |
| 1631 | 13.0f, 14.0f, |
| 1632 | 23.0f, 24.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1633 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1634 | 5.0f, 6.0f, |
| 1635 | 15.0f, 16.0f, |
| 1636 | 25.0f, 26.0f, |
| 1637 | 7.0f, 8.0f, |
| 1638 | 17.0f, 18.0f, |
| 1639 | 27.0f, 28.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1640 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1641 | 9.0f, 10.0f, |
| 1642 | 19.0f, 20.0f, |
| 1643 | 29.0f, 30.0f, |
| 1644 | 11.0f, 12.0f, |
| 1645 | 21.0f, 22.0f, |
| 1646 | 31.0f, 32.0f |
| 1647 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1648 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1649 | |
| 1650 | return result; |
| 1651 | } |
| 1652 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1653 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1654 | LayerTestResult<T, 4> Concat4dDiffShapeDim0TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1655 | IWorkloadFactory& workloadFactory, |
| 1656 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1657 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1658 | float qScale, |
| 1659 | int32_t qOffset) |
| 1660 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1661 | constexpr unsigned int dimension = 0u; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1662 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1663 | TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1664 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1665 | { |
| 1666 | 1.0f, 2.0f, |
| 1667 | 3.0f, 4.0f, |
| 1668 | 5.0f, 6.0f, |
| 1669 | 7.0f, 8.0f, |
| 1670 | 9.0f, 10.0f, |
| 1671 | 11.0f, 12.0f |
| 1672 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1673 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1674 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1675 | TensorInfo inputTensorInfo1({ 2, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1676 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1677 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1678 | { |
| 1679 | 11.0f, 12.0f, |
| 1680 | 13.0f, 14.0f, |
| 1681 | 15.0f, 16.0f, |
| 1682 | 17.0f, 18.0f, |
| 1683 | 19.0f, 20.0f, |
| 1684 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1685 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1686 | 21.0f, 22.0f, |
| 1687 | 23.0f, 24.0f, |
| 1688 | 25.0f, 26.0f, |
| 1689 | 27.0f, 28.0f, |
| 1690 | 29.0f, 30.0f, |
| 1691 | 31.0f, 32.0f |
| 1692 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1693 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1694 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1695 | TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1696 | |
| 1697 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 1698 | |
| 1699 | std::vector<T> output; |
| 1700 | output.resize(outputTensorInfo.GetNumElements()); |
| 1701 | Concatenate<T>(workloadFactory, |
| 1702 | memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1703 | tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1704 | {inputTensorInfo0, inputTensorInfo1}, |
| 1705 | {input0.data(), input1.data()}, |
| 1706 | outputTensorInfo, |
| 1707 | output.data(), |
| 1708 | dimension, |
| 1709 | true); |
| 1710 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1711 | result.m_ActualData = output; |
| 1712 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1713 | { |
| 1714 | 1.0f, 2.0f, |
| 1715 | 3.0f, 4.0f, |
| 1716 | 5.0f, 6.0f, |
| 1717 | 7.0f, 8.0f, |
| 1718 | 9.0f, 10.0f, |
| 1719 | 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1720 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1721 | 11.0f, 12.0f, |
| 1722 | 13.0f, 14.0f, |
| 1723 | 15.0f, 16.0f, |
| 1724 | 17.0f, 18.0f, |
| 1725 | 19.0f, 20.0f, |
| 1726 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1727 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1728 | 21.0f, 22.0f, |
| 1729 | 23.0f, 24.0f, |
| 1730 | 25.0f, 26.0f, |
| 1731 | 27.0f, 28.0f, |
| 1732 | 29.0f, 30.0f, |
| 1733 | 31.0f, 32.0f |
| 1734 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1735 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1736 | |
| 1737 | return result; |
| 1738 | } |
| 1739 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1740 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1741 | LayerTestResult<T, 4> Concat4dDiffShapeDim1TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1742 | IWorkloadFactory& workloadFactory, |
| 1743 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1744 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1745 | float qScale, |
| 1746 | int32_t qOffset) |
| 1747 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1748 | constexpr unsigned int dimension = 1u; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1749 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1750 | TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1751 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1752 | { |
| 1753 | 1.0f, 2.0f, |
| 1754 | 3.0f, 4.0f, |
| 1755 | 5.0f, 6.0f, |
| 1756 | 7.0f, 8.0f, |
| 1757 | 9.0f, 10.0f, |
| 1758 | 11.0f, 12.0f |
| 1759 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1760 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1761 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1762 | TensorInfo inputTensorInfo1({ 1, 2, 2, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1763 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1764 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1765 | { |
| 1766 | 11.0f, 12.0f, |
| 1767 | 13.0f, 14.0f, |
| 1768 | 15.0f, 16.0f, |
| 1769 | 17.0f, 18.0f, |
| 1770 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1771 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1772 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1773 | TensorInfo outputTensorInfo({ 1, 5, 2, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1774 | |
| 1775 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 1776 | |
| 1777 | std::vector<T> output; |
| 1778 | output.resize(outputTensorInfo.GetNumElements()); |
| 1779 | Concatenate<T>(workloadFactory, |
| 1780 | memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1781 | tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1782 | {inputTensorInfo0, inputTensorInfo1}, |
| 1783 | {input0.data(), input1.data()}, |
| 1784 | outputTensorInfo, |
| 1785 | output.data(), |
| 1786 | dimension, |
| 1787 | true); |
| 1788 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1789 | result.m_ActualData = output; |
| 1790 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1791 | { |
| 1792 | 1.0f, 2.0f, |
| 1793 | 3.0f, 4.0f, |
| 1794 | 5.0f, 6.0f, |
| 1795 | 7.0f, 8.0f, |
| 1796 | 9.0f, 10.0f, |
| 1797 | 11.0f, 12.0f, |
| 1798 | 11.0f, 12.0f, |
| 1799 | 13.0f, 14.0f, |
| 1800 | 15.0f, 16.0f, |
| 1801 | 17.0f, 18.0f |
| 1802 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1803 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1804 | |
| 1805 | return result; |
| 1806 | } |
| 1807 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1808 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1809 | LayerTestResult<T, 4> Concat4dDiffShapeDim2TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1810 | IWorkloadFactory& workloadFactory, |
| 1811 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1812 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1813 | float qScale, |
| 1814 | int32_t qOffset) |
| 1815 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1816 | constexpr unsigned int dimension = 2u; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1817 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1818 | TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1819 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1820 | { |
| 1821 | 1.0f, 2.0f, |
| 1822 | 3.0f, 4.0f, |
| 1823 | 5.0f, 6.0f, |
| 1824 | 7.0f, 8.0f, |
| 1825 | 9.0f, 10.0f, |
| 1826 | 11.0f, 12.0f |
| 1827 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1828 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1829 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1830 | TensorInfo inputTensorInfo1({ 1, 3, 3, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1831 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1832 | { |
| 1833 | 11.0f, 12.0f, |
| 1834 | 13.0f, 14.0f, |
| 1835 | 15.0f, 16.0f, |
| 1836 | 17.0f, 18.0f, |
| 1837 | 19.0f, 20.0f, |
| 1838 | 21.0f, 22.0f, |
| 1839 | 23.0f, 24.0f, |
| 1840 | 25.0f, 26.0f, |
| 1841 | 27.0f, 28.0f |
| 1842 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1843 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1844 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1845 | TensorInfo outputTensorInfo({ 1, 3, 5, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1846 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 1847 | |
| 1848 | std::vector<T> output; |
| 1849 | output.resize(outputTensorInfo.GetNumElements()); |
| 1850 | Concatenate<T>(workloadFactory, |
| 1851 | memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1852 | tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1853 | {inputTensorInfo0, inputTensorInfo1}, |
| 1854 | {input0.data(), input1.data()}, |
| 1855 | outputTensorInfo, |
| 1856 | output.data(), |
| 1857 | dimension, |
| 1858 | true); |
| 1859 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1860 | result.m_ActualData = output; |
| 1861 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1862 | { |
| 1863 | 1.0f, 2.0f, |
| 1864 | 3.0f, 4.0f, |
| 1865 | 11.0f, 12.0f, |
| 1866 | 13.0f, 14.0f, |
| 1867 | 15.0f, 16.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1868 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1869 | 5.0f, 6.0f, |
| 1870 | 7.0f, 8.0f, |
| 1871 | 17.0f, 18.0f, |
| 1872 | 19.0f, 20.0f, |
| 1873 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1874 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1875 | 9.0f, 10.0f, |
| 1876 | 11.0f, 12.0f, |
| 1877 | 23.0f, 24.0f, |
| 1878 | 25.0f, 26.0f, |
| 1879 | 27.0f, 28.0f |
| 1880 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1881 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1882 | |
| 1883 | return result; |
| 1884 | } |
| 1885 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1886 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1887 | LayerTestResult<T, 4> Concat4dDiffShapeDim3TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1888 | IWorkloadFactory& workloadFactory, |
| 1889 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1890 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1891 | float qScale, |
| 1892 | int32_t qOffset, |
| 1893 | bool useSubtensor) |
| 1894 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1895 | constexpr unsigned int dimension = 3u; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1896 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1897 | TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1898 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1899 | { |
| 1900 | 1.0f, 2.0f, |
| 1901 | 3.0f, 4.0f, |
| 1902 | 5.0f, 6.0f, |
| 1903 | 7.0f, 8.0f, |
| 1904 | 9.0f, 10.0f, |
| 1905 | 11.0f, 12.0f |
| 1906 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1907 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1908 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1909 | TensorInfo inputTensorInfo1({ 1, 3, 2, 3 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1910 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1911 | { |
| 1912 | 11.0f, 12.0f, 13.0f, |
| 1913 | 14.0f, 15.0f, 16.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1914 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1915 | 17.0f, 18.0f, 19.0f, |
| 1916 | 20.0f, 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1917 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1918 | 23.0f, 24.0f, 25.0f, |
| 1919 | 26.0f, 27.0f, 28.0f |
| 1920 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1921 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1922 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1923 | TensorInfo outputTensorInfo({ 1, 3, 2, 5 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1924 | |
| 1925 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 1926 | |
| 1927 | std::vector<T> output; |
| 1928 | output.resize(outputTensorInfo.GetNumElements()); |
| 1929 | Concatenate<T>(workloadFactory, |
| 1930 | memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1931 | tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1932 | {inputTensorInfo0, inputTensorInfo1}, |
| 1933 | {input0.data(), input1.data()}, |
| 1934 | outputTensorInfo, |
| 1935 | output.data(), |
| 1936 | dimension, |
| 1937 | useSubtensor); |
| 1938 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1939 | result.m_ActualData = output; |
| 1940 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1941 | { |
| 1942 | 1.0f, 2.0f, 11.0f, 12.0f, 13.0f, |
| 1943 | 3.0f, 4.0f, 14.0f, 15.0f, 16.0f, |
| 1944 | 5.0f, 6.0f, 17.0f, 18.0f, 19.0f, |
| 1945 | 7.0f, 8.0f, 20.0f, 21.0f, 22.0f, |
| 1946 | 9.0f, 10.0f, 23.0f, 24.0f, 25.0f, |
| 1947 | 11.0f, 12.0f, 26.0f, 27.0f, 28.0f |
| 1948 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1949 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1950 | |
| 1951 | return result; |
| 1952 | } |
| 1953 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1954 | template<DataType ArmnnType, typename T> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1955 | LayerTestResult<T, 3> ConcatDifferentInputOutputQParamTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1956 | IWorkloadFactory& workloadFactory, |
| 1957 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1958 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1959 | bool useSubtensor) |
| 1960 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 1961 | IgnoreUnused(memoryManager); |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame] | 1962 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1963 | // Defines the tensor descriptors. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1964 | TensorInfo outputTensorInfo({ 3, 6, 3 }, ArmnnType); |
| 1965 | TensorInfo inputTensorInfo1({ 3, 6, 2 }, ArmnnType); |
| 1966 | TensorInfo inputTensorInfo2({ 3, 6, 1 }, ArmnnType); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1967 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1968 | std::vector<TensorShape> inputTensorShapes({inputTensorInfo1.GetShape(), inputTensorInfo2.GetShape()}); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1969 | |
| 1970 | // Quantized input1 tensor. |
| 1971 | const float inputScale1 = 0.5f; |
| 1972 | const int32_t inputOffset1 = 5; |
| 1973 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1974 | std::vector<T> input1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1975 | { |
| 1976 | 1, 2, 3, |
| 1977 | 4, 5, 6, |
| 1978 | 7, 8, 9, |
| 1979 | 10, 11, 12, |
| 1980 | 13, 14, 15, |
| 1981 | 16, 17, 18, |
| 1982 | |
| 1983 | 19, 20, 21, |
| 1984 | 22, 23, 24, |
| 1985 | 25, 26, 27, |
| 1986 | 28, 29, 30, |
| 1987 | 31, 32, 33, |
| 1988 | 34, 35, 36 |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1989 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1990 | |
| 1991 | // Quatized input2 tensor. |
| 1992 | const float inputScale2 = 0.2f; |
| 1993 | const int32_t inputOffset2 = 10; |
| 1994 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1995 | std::vector<T> input2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1996 | { |
| 1997 | 37, 38, 39, |
| 1998 | 40, 41, 42, |
| 1999 | 43, 44, 45, |
| 2000 | 46, 47, 48, |
| 2001 | 49, 50, 51, |
| 2002 | 52, 53, 54 |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2003 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2004 | |
| 2005 | // Quantized output tensor. |
| 2006 | const float outputScale = 0.1f; |
| 2007 | const int32_t outputOffset = 20; |
| 2008 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2009 | std::vector<T> actualOutput(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2010 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2011 | std::vector<T> expectedOutput = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2012 | { |
| 2013 | 0, 5, 74, |
| 2014 | 10, 15, 76, |
| 2015 | 20, 25, 78, |
| 2016 | 30, 35, 80, |
| 2017 | 40, 45, 82, |
| 2018 | 50, 55, 84, |
| 2019 | |
| 2020 | 60, 65, 86, |
| 2021 | 70, 75, 88, |
| 2022 | 80, 85, 90, |
| 2023 | 90, 95, 92, |
| 2024 | 100, 105, 94, |
| 2025 | 110, 115, 96, |
| 2026 | |
| 2027 | 120, 125, 98, |
| 2028 | 130, 135, 100, |
| 2029 | 140, 145, 102, |
| 2030 | 150, 155, 104, |
| 2031 | 160, 165, 106, |
| 2032 | 170, 175, 108 |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2033 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2034 | |
| 2035 | outputTensorInfo.SetQuantizationScale(outputScale); |
| 2036 | outputTensorInfo.SetQuantizationOffset(outputOffset); |
| 2037 | inputTensorInfo1.SetQuantizationScale(inputScale1); |
| 2038 | inputTensorInfo1.SetQuantizationOffset(inputOffset1); |
| 2039 | inputTensorInfo2.SetQuantizationScale(inputScale2); |
| 2040 | inputTensorInfo2.SetQuantizationOffset(inputOffset2); |
| 2041 | |
| 2042 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2043 | ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2044 | |
| 2045 | std::vector<unsigned int> wOrigin2 = { 0, 0, 2 }; //Extent of the window is defined by size of input[1]. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2046 | ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2047 | |
| 2048 | std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
| 2049 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2050 | bool subTensorsSupported = useSubtensor && workloadFactory.SupportsSubTensors(); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2051 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2052 | std::unique_ptr<ITensorHandle> inputHandle1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2053 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2054 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 2055 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2056 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2057 | std::unique_ptr<ITensorHandle> inputHandle2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2058 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2059 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 2060 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 2061 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2062 | ConcatQueueDescriptor data; |
| 2063 | OriginsDescriptor desc = CreateDescriptorForConcatenation( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2064 | inputTensorShapes.begin(),inputTensorShapes.end(), 2); |
| 2065 | data.m_Parameters = desc; |
| 2066 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2067 | WorkloadInfo info; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2068 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2069 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2070 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2071 | |
| 2072 | data.m_ViewOrigins.push_back(window1); |
| 2073 | data.m_ViewOrigins.push_back(window2); |
| 2074 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame^] | 2075 | std::unique_ptr<IWorkload> workload = workloadFactory.CreateWorkload(LayerType::Concat, data, info); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2076 | |
| 2077 | inputHandle1->Allocate(); |
| 2078 | inputHandle2->Allocate(); |
| 2079 | outputHandle->Allocate(); |
| 2080 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2081 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 2082 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2083 | |
| 2084 | workload->PostAllocationConfigure(); |
| 2085 | workload->Execute(); |
| 2086 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2087 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2088 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2089 | return LayerTestResult<T, 3>(actualOutput, |
| 2090 | expectedOutput, |
| 2091 | outputHandle->GetShape(), |
| 2092 | outputTensorInfo.GetShape()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2093 | } |
| 2094 | |
| 2095 | // |
| 2096 | // Explicit template specializations |
| 2097 | // |
| 2098 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2099 | template LayerTestResult<ResolveType<DataType::QAsymmU8>, 3> |
| 2100 | ConcatDifferentInputOutputQParamTest<DataType::QAsymmU8>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2101 | IWorkloadFactory& workloadFactory, |
| 2102 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2103 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2104 | bool useSubtensor); |
| 2105 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2106 | template LayerTestResult<ResolveType<DataType::QSymmS16>, 3> |
| 2107 | ConcatDifferentInputOutputQParamTest<DataType::QSymmS16>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2108 | IWorkloadFactory& workloadFactory, |
| 2109 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2110 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2111 | bool useSubtensor); |
| 2112 | |
| 2113 | // |
| 2114 | // Implementation functions |
| 2115 | // |
| 2116 | |
| 2117 | LayerTestResult<float,3> ConcatTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2118 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2119 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2120 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2121 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 2122 | IgnoreUnused(memoryManager); |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame] | 2123 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2124 | unsigned int outputWidth = 3; |
| 2125 | unsigned int outputHeight = 6; |
| 2126 | unsigned int outputChannels = 3; |
| 2127 | |
| 2128 | unsigned int inputWidth1 = 3; |
| 2129 | unsigned int inputHeight1 = 6; |
| 2130 | unsigned int inputChannels1 = 2; |
| 2131 | |
| 2132 | unsigned int inputWidth2 = 3; |
| 2133 | unsigned int inputHeight2 = 6; |
| 2134 | unsigned int inputChannels2 = 1; |
| 2135 | |
| 2136 | // Define the tensor descriptors. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2137 | TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::Float32); |
| 2138 | TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::Float32); |
| 2139 | TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::Float32); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2140 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2141 | std::vector<float> actualOutput(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2142 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2143 | std::vector<float> expectedOutput = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2144 | { |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2145 | 1.0f, 2.0f, 3.0f, |
| 2146 | 4.0f, 5.0f, 6.0f, |
| 2147 | 7.0f, 8.0f, 9.0f, |
| 2148 | 10.0f, 11.0f, 12.0f, |
| 2149 | 13.0f, 14.0f, 15.0f, |
| 2150 | 16.0f, 17.0f, 18.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2151 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2152 | 19.0f, 20.0f, 21.0f, |
| 2153 | 22.0f, 23.0f, 24.0f, |
| 2154 | 25.0f, 26.0f, 27.0f, |
| 2155 | 28.0f, 29.0f, 30.0f, |
| 2156 | 31.0f, 32.0f, 33.0f, |
| 2157 | 34.0f, 35.0f, 36.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2158 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2159 | 37.0f, 38.0f, 39.0f, |
| 2160 | 40.0f, 41.0f, 42.0f, |
| 2161 | 43.0f, 44.0f, 45.0f, |
| 2162 | 46.0f, 47.0f, 48.0f, |
| 2163 | 49.0f, 50.0f, 51.0f, |
| 2164 | 52.0f, 53.0f, 54.0f |
| 2165 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2166 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2167 | std::vector<float> input1 = |
| 2168 | { |
| 2169 | 1.0f, 2.0f, 3.0f, |
| 2170 | 4.0f, 5.0f, 6.0f, |
| 2171 | 7.0f, 8.0f, 9.0f, |
| 2172 | 10.0f, 11.0f, 12.0f, |
| 2173 | 13.0f, 14.0f, 15.0f, |
| 2174 | 16.0f, 17.0f, 18.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2175 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2176 | 19.0f, 20.0f, 21.0f, |
| 2177 | 22.0f, 23.0f, 24.0f, |
| 2178 | 25.0f, 26.0f, 27.0f, |
| 2179 | 28.0f, 29.0f, 30.0f, |
| 2180 | 31.0f, 32.0f, 33.0f, |
| 2181 | 34.0f, 35.0f, 36.0f |
| 2182 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2183 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2184 | std::vector<float> input2 = |
| 2185 | { |
| 2186 | 37.0f, 38.0f, 39.0f, |
| 2187 | 40.0f, 41.0f, 42.0f, |
| 2188 | 43.0f, 44.0f, 45.0f, |
| 2189 | 46.0f, 47.0f, 48.0f, |
| 2190 | 49.0f, 50.0f, 51.0f, |
| 2191 | 52.0f, 53.0f, 54.0f, |
| 2192 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2193 | |
| 2194 | std::vector<unsigned int> wOrigin1 = {0, 0, 0}; //Extent of the window is defined by size of input[0]. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2195 | ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2196 | |
| 2197 | std::vector<unsigned int> wOrigin2 = {2, 0, 0}; //Extent of the window is defined by size of input[1]. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2198 | ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2199 | |
| 2200 | std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2201 | |
| 2202 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 2203 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2204 | std::unique_ptr<ITensorHandle> inputHandle1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2205 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2206 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 2207 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2208 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2209 | std::unique_ptr<ITensorHandle> inputHandle2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2210 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2211 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 2212 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 2213 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2214 | ConcatQueueDescriptor data; |
| 2215 | WorkloadInfo info; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2216 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2217 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2218 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2219 | |
| 2220 | data.m_ViewOrigins.push_back(window1); |
| 2221 | data.m_ViewOrigins.push_back(window2); |
| 2222 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame^] | 2223 | std::unique_ptr<IWorkload> workload = workloadFactory.CreateWorkload(LayerType::Concat, data, info); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2224 | |
| 2225 | inputHandle1->Allocate(); |
| 2226 | inputHandle2->Allocate(); |
| 2227 | outputHandle->Allocate(); |
| 2228 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2229 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 2230 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2231 | |
| 2232 | workload->PostAllocationConfigure(); |
| 2233 | workload->Execute(); |
| 2234 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2235 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2236 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2237 | return LayerTestResult<float, 3>(actualOutput, |
| 2238 | expectedOutput, |
| 2239 | outputHandle->GetShape(), |
| 2240 | outputTensorInfo.GetShape()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2241 | } |
| 2242 | |
| 2243 | LayerTestResult<float, 1> Concat1dTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2244 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2245 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2246 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2247 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2248 | return Concat1dTestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2249 | } |
| 2250 | |
| 2251 | LayerTestResult<float, 2> Concat2dDim0Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2252 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2253 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2254 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2255 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2256 | return Concat2dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2257 | } |
| 2258 | |
| 2259 | LayerTestResult<float, 2> Concat2dDim1Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2260 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2261 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2262 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2263 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2264 | return Concat2dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2265 | } |
| 2266 | |
| 2267 | LayerTestResult<float, 2> Concat2dDim0DiffInputDimsTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2268 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2269 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2270 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2271 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2272 | return Concat2dDim0DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, memoryManager, |
| 2273 | tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2274 | } |
| 2275 | |
| 2276 | LayerTestResult<float, 2> Concat2dDim1DiffInputDimsTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2277 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2278 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2279 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2280 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2281 | return Concat2dDim1DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, |
| 2282 | memoryManager, |
| 2283 | tensorHandleFactory, |
| 2284 | 0.0f, |
| 2285 | 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2286 | } |
| 2287 | |
| 2288 | LayerTestResult<float, 3> Concat3dDim0Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2289 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2290 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2291 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2292 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2293 | return Concat3dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2294 | } |
| 2295 | |
| 2296 | LayerTestResult<float, 3> Concat3dDim1Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2297 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2298 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2299 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2300 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2301 | return Concat3dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2302 | } |
| 2303 | |
| 2304 | LayerTestResult<float, 3> Concat3dDim2Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2305 | IWorkloadFactory& workloadFactory, |
| 2306 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2307 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2308 | bool useSubtensor) |
| 2309 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2310 | return Concat3dDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, |
| 2311 | useSubtensor, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2312 | } |
| 2313 | |
| 2314 | LayerTestResult<float, 3> Concat3dDim0DiffInputDimsTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2315 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2316 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2317 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2318 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2319 | return Concat3dDim0DiffInputDimsTestImpl<DataType::Float32>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2320 | workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2321 | } |
| 2322 | |
| 2323 | LayerTestResult<float, 3> Concat3dDim1DiffInputDimsTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2324 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2325 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2326 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2327 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2328 | return Concat3dDim1DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, memoryManager, |
| 2329 | tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2330 | } |
| 2331 | |
| 2332 | LayerTestResult<float, 3> Concat3dDim2DiffInputDimsTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2333 | IWorkloadFactory& workloadFactory, |
| 2334 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2335 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2336 | bool useSubtensor) |
| 2337 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2338 | return Concat3dDim2DiffInputDimsTestImpl<DataType::Float32>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2339 | workloadFactory, memoryManager, tensorHandleFactory, useSubtensor, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2340 | } |
| 2341 | |
| 2342 | LayerTestResult<float, 4> Concat4dDim0Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2343 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2344 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2345 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2346 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2347 | return Concat4dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2348 | } |
| 2349 | |
| 2350 | LayerTestResult<float, 4> Concat4dDim1Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2351 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2352 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2353 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2354 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2355 | return Concat4dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2356 | } |
| 2357 | |
| 2358 | LayerTestResult<float, 4> Concat4dDim2Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2359 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2360 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2361 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2362 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2363 | return Concat4dDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2364 | } |
| 2365 | |
| 2366 | LayerTestResult<float, 4> Concat4dDim3Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2367 | IWorkloadFactory& workloadFactory, |
| 2368 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2369 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2370 | bool useSubtensor) |
| 2371 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2372 | return Concat4dDim3TestImpl<DataType::Float32>(workloadFactory, memoryManager, |
| 2373 | tensorHandleFactory, 0.0f, 0, useSubtensor); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2374 | } |
| 2375 | |
| 2376 | LayerTestResult<float, 4> Concat4dDiffShapeDim0Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2377 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2378 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2379 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2380 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2381 | return Concat4dDiffShapeDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, |
| 2382 | tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2383 | } |
| 2384 | |
| 2385 | LayerTestResult<float, 4> Concat4dDiffShapeDim1Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2386 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2387 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2388 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2389 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2390 | return Concat4dDiffShapeDim1TestImpl<DataType::Float32>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2391 | workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2392 | } |
| 2393 | |
| 2394 | LayerTestResult<float, 4> Concat4dDiffShapeDim2Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2395 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2396 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2397 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2398 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2399 | return Concat4dDiffShapeDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, |
| 2400 | tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2401 | } |
| 2402 | |
| 2403 | LayerTestResult<float, 4> Concat4dDiffShapeDim3Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2404 | IWorkloadFactory& workloadFactory, |
| 2405 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2406 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2407 | bool useSubtensor) |
| 2408 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2409 | return Concat4dDiffShapeDim3TestImpl<DataType::Float32>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2410 | workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0, useSubtensor); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2411 | } |
| 2412 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2413 | LayerTestResult<Half, 3> ConcatFloat16Test( |
| 2414 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2415 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2416 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Matthew Jackson | 9bff144 | 2019-09-12 09:08:23 +0100 | [diff] [blame] | 2417 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2418 | return Concat3dDim1TestImpl<DataType::Float16>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Matthew Jackson | 9bff144 | 2019-09-12 09:08:23 +0100 | [diff] [blame] | 2419 | } |
| 2420 | |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 2421 | LayerTestResult<BFloat16, 3> ConcatBFloat16Test( |
| 2422 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2423 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2424 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 2425 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2426 | return Concat3dDim1TestImpl<DataType::BFloat16>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 2427 | } |
| 2428 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2429 | LayerTestResult<uint8_t, 3> ConcatUint8DifferentQParamsTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2430 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2431 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2432 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2433 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 2434 | IgnoreUnused(memoryManager); |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame] | 2435 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2436 | unsigned int outputWidth = 3; |
| 2437 | unsigned int outputHeight = 6; |
| 2438 | unsigned int outputChannels = 3; |
| 2439 | |
| 2440 | unsigned int inputWidth1 = 3; |
| 2441 | unsigned int inputHeight1 = 6; |
| 2442 | unsigned int inputChannels1 = 2; |
| 2443 | |
| 2444 | unsigned int inputWidth2 = 3; |
| 2445 | unsigned int inputHeight2 = 6; |
| 2446 | unsigned int inputChannels2 = 1; |
| 2447 | |
| 2448 | // Defines the tensor descriptors. |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2449 | TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QAsymmU8); |
| 2450 | TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QAsymmU8); |
| 2451 | TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QAsymmU8); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2452 | |
| 2453 | // Quantized input1 tensor. Range [-3, 1] |
| 2454 | const float inputScale1 = 0.015686f; |
| 2455 | const int32_t inputOffset1 = 192; |
| 2456 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2457 | std::vector<uint8_t> input1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2458 | { |
| 2459 | 1, 2, 3, |
| 2460 | 4, 5, 6, |
| 2461 | 7, 8, 9, |
| 2462 | 10, 11, 12, |
| 2463 | 13, 14, 15, |
| 2464 | 16, 17, 18, |
| 2465 | |
| 2466 | 19, 20, 21, |
| 2467 | 22, 23, 24, |
| 2468 | 25, 26, 27, |
| 2469 | 28, 29, 30, |
| 2470 | 31, 32, 33, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2471 | 34, 35, 36 |
| 2472 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2473 | |
| 2474 | // Quatized input2 tensor. Range [-1, 4] |
| 2475 | const float inputScale2 = 0.019608f; |
| 2476 | const int32_t inputOffset2 = 50; |
| 2477 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2478 | std::vector<uint8_t> input2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2479 | { |
| 2480 | 37, 38, 39, |
| 2481 | 40, 41, 42, |
| 2482 | 43, 44, 45, |
| 2483 | 46, 47, 48, |
| 2484 | 49, 50, 51, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2485 | 52, 53, 54 |
| 2486 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2487 | |
| 2488 | // Output has the same quantization parameters than input1, |
| 2489 | // so that only the requantization of input2 is required |
| 2490 | const float outputScale = 0.015686f; |
| 2491 | const int32_t outputOffset = 192; |
| 2492 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2493 | std::vector<uint8_t> actualOutput(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2494 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2495 | std::vector<uint8_t> expectedOutput = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2496 | { |
| 2497 | 1, 2, 3, |
| 2498 | 4, 5, 6, |
| 2499 | 7, 8, 9, |
| 2500 | 10, 11, 12, |
| 2501 | 13, 14, 15, |
| 2502 | 16, 17, 18, |
| 2503 | |
| 2504 | 19, 20, 21, |
| 2505 | 22, 23, 24, |
| 2506 | 25, 26, 27, |
| 2507 | 28, 29, 30, |
| 2508 | 31, 32, 33, |
| 2509 | 34, 35, 36, |
| 2510 | |
| 2511 | 176, 177, 178, |
| 2512 | 179, 181, 182, |
| 2513 | 183, 184, 186, |
| 2514 | 187, 188, 189, |
| 2515 | 191, 192, 193, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2516 | 195, 196, 197 |
| 2517 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2518 | |
| 2519 | outputTensorInfo.SetQuantizationScale(outputScale); |
| 2520 | outputTensorInfo.SetQuantizationOffset(outputOffset); |
| 2521 | inputTensorInfo1.SetQuantizationScale(inputScale1); |
| 2522 | inputTensorInfo1.SetQuantizationOffset(inputOffset1); |
| 2523 | inputTensorInfo2.SetQuantizationScale(inputScale2); |
| 2524 | inputTensorInfo2.SetQuantizationOffset(inputOffset2); |
| 2525 | |
| 2526 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2527 | ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2528 | |
| 2529 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2530 | ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2531 | |
| 2532 | std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2533 | |
| 2534 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 2535 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2536 | std::unique_ptr<ITensorHandle> inputHandle1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2537 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2538 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 2539 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2540 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2541 | std::unique_ptr<ITensorHandle> inputHandle2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2542 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2543 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 2544 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 2545 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2546 | ConcatQueueDescriptor data; |
| 2547 | WorkloadInfo info; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2548 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2549 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2550 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2551 | |
| 2552 | data.m_ViewOrigins.push_back(window1); |
| 2553 | data.m_ViewOrigins.push_back(window2); |
| 2554 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame^] | 2555 | std::unique_ptr<IWorkload> workload = workloadFactory.CreateWorkload(LayerType::Concat, data, info); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2556 | |
| 2557 | inputHandle1->Allocate(); |
| 2558 | inputHandle2->Allocate(); |
| 2559 | outputHandle->Allocate(); |
| 2560 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2561 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 2562 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2563 | |
| 2564 | workload->PostAllocationConfigure(); |
| 2565 | workload->Execute(); |
| 2566 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2567 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2568 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2569 | return LayerTestResult<uint8_t, 3>(actualOutput, |
| 2570 | expectedOutput, |
| 2571 | outputHandle->GetShape(), |
| 2572 | outputTensorInfo.GetShape()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2573 | } |
| 2574 | |
| 2575 | LayerTestResult<uint8_t, 3> ConcatUint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2576 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2577 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2578 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2579 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 2580 | IgnoreUnused(memoryManager); |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame] | 2581 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2582 | unsigned int outputWidth = 3; |
| 2583 | unsigned int outputHeight = 6; |
| 2584 | unsigned int outputChannels = 3; |
| 2585 | |
| 2586 | unsigned int inputWidth1 = 3; |
| 2587 | unsigned int inputHeight1 = 6; |
| 2588 | unsigned int inputChannels1 = 2; |
| 2589 | |
| 2590 | unsigned int inputWidth2 = 3; |
| 2591 | unsigned int inputHeight2 = 6; |
| 2592 | unsigned int inputChannels2 = 1; |
| 2593 | |
| 2594 | // Defines the tensor descriptors. |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2595 | TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QAsymmU8); |
| 2596 | TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QAsymmU8); |
| 2597 | TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QAsymmU8); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2598 | |
| 2599 | // Arbitrary scale and offsets. They don't really matter as the Concat operator doesn't dequantize/quantize them. |
| 2600 | const float scale = 0.13497836f; |
| 2601 | const int32_t offset = -7; |
| 2602 | |
| 2603 | outputTensorInfo.SetQuantizationScale(scale); |
| 2604 | outputTensorInfo.SetQuantizationOffset(offset); |
| 2605 | inputTensorInfo1.SetQuantizationScale(scale); |
| 2606 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 2607 | inputTensorInfo2.SetQuantizationScale(scale); |
| 2608 | inputTensorInfo2.SetQuantizationOffset(offset); |
| 2609 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2610 | std::vector<uint8_t> actualOutput(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2611 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2612 | std::vector<uint8_t> expectedOutput = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2613 | { |
| 2614 | 1, 2, 3, |
| 2615 | 4, 5, 6, |
| 2616 | 7, 8, 9, |
| 2617 | 10, 11, 12, |
| 2618 | 13, 14, 15, |
| 2619 | 16, 17, 18, |
| 2620 | |
| 2621 | 19, 20, 21, |
| 2622 | 22, 23, 24, |
| 2623 | 25, 26, 27, |
| 2624 | 28, 29, 30, |
| 2625 | 31, 32, 33, |
| 2626 | 34, 35, 36, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2627 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2628 | 37, 38, 39, |
| 2629 | 40, 41, 42, |
| 2630 | 43, 44, 45, |
| 2631 | 46, 47, 48, |
| 2632 | 49, 50, 51, |
| 2633 | 52, 53, 54 |
| 2634 | }; |
| 2635 | |
| 2636 | std::vector<uint8_t> input1 = |
| 2637 | { |
| 2638 | 1, 2, 3, |
| 2639 | 4, 5, 6, |
| 2640 | 7, 8, 9, |
| 2641 | 10, 11, 12, |
| 2642 | 13, 14, 15, |
| 2643 | 16, 17, 18, |
| 2644 | |
| 2645 | 19, 20, 21, |
| 2646 | 22, 23, 24, |
| 2647 | 25, 26, 27, |
| 2648 | 28, 29, 30, |
| 2649 | 31, 32, 33, |
| 2650 | 34, 35, 36 |
| 2651 | }; |
| 2652 | |
| 2653 | std::vector<uint8_t> input2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2654 | { |
| 2655 | 37, 38, 39, |
| 2656 | 40, 41, 42, |
| 2657 | 43, 44, 45, |
| 2658 | 46, 47, 48, |
| 2659 | 49, 50, 51, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2660 | 52, 53, 54 |
| 2661 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2662 | |
| 2663 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2664 | ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2665 | |
| 2666 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2667 | ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2668 | |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2669 | std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2670 | |
| 2671 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 2672 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2673 | std::unique_ptr<ITensorHandle> inputHandle1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2674 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2675 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 2676 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2677 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2678 | std::unique_ptr<ITensorHandle> inputHandle2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2679 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2680 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 2681 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 2682 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2683 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2684 | ConcatQueueDescriptor data; |
| 2685 | WorkloadInfo info; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2686 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2687 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2688 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2689 | |
| 2690 | data.m_ViewOrigins.push_back(window1); |
| 2691 | data.m_ViewOrigins.push_back(window2); |
| 2692 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame^] | 2693 | std::unique_ptr<IWorkload> workload = workloadFactory.CreateWorkload(LayerType::Concat, data, info); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2694 | |
| 2695 | inputHandle1->Allocate(); |
| 2696 | inputHandle2->Allocate(); |
| 2697 | outputHandle->Allocate(); |
| 2698 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2699 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 2700 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2701 | |
| 2702 | workload->PostAllocationConfigure(); |
| 2703 | workload->Execute(); |
| 2704 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2705 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2706 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2707 | return LayerTestResult<uint8_t, 3>(actualOutput, |
| 2708 | expectedOutput, |
| 2709 | outputHandle->GetShape(), |
| 2710 | outputTensorInfo.GetShape()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2711 | } |
| 2712 | |
| 2713 | LayerTestResult<uint16_t, 3> ConcatUint16Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2714 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2715 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2716 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2717 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 2718 | IgnoreUnused(memoryManager); |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame] | 2719 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2720 | unsigned int outputWidth = 3; |
| 2721 | unsigned int outputHeight = 6; |
| 2722 | unsigned int outputChannels = 3; |
| 2723 | |
| 2724 | unsigned int inputWidth1 = 3; |
| 2725 | unsigned int inputHeight1 = 6; |
| 2726 | unsigned int inputChannels1 = 2; |
| 2727 | |
| 2728 | unsigned int inputWidth2 = 3; |
| 2729 | unsigned int inputHeight2 = 6; |
| 2730 | unsigned int inputChannels2 = 1; |
| 2731 | |
| 2732 | // Defines the tensor descriptors. |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2733 | TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QSymmS16); |
| 2734 | TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QSymmS16); |
| 2735 | TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QSymmS16); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2736 | |
| 2737 | // Arbitrary scale and offsets. They don't really matter as the Concat operator doesn't dequantize/quantize them. |
| 2738 | const float scale = 0.13497836f; |
| 2739 | const int32_t offset = -7; |
| 2740 | |
| 2741 | outputTensorInfo.SetQuantizationScale(scale); |
| 2742 | outputTensorInfo.SetQuantizationOffset(offset); |
| 2743 | inputTensorInfo1.SetQuantizationScale(scale); |
| 2744 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 2745 | inputTensorInfo2.SetQuantizationScale(scale); |
| 2746 | inputTensorInfo2.SetQuantizationOffset(offset); |
| 2747 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2748 | std::vector<uint16_t> actualOutput(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2749 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2750 | std::vector<uint16_t> expectedOutput = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2751 | { |
| 2752 | 1, 2, 3, |
| 2753 | 4, 5, 6, |
| 2754 | 7, 8, 9, |
| 2755 | 10, 11, 12, |
| 2756 | 13, 14, 15, |
| 2757 | 16, 17, 18, |
| 2758 | |
| 2759 | 19, 20, 21, |
| 2760 | 22, 23, 24, |
| 2761 | 25, 26, 27, |
| 2762 | 28, 29, 30, |
| 2763 | 31, 32, 33, |
| 2764 | 34, 35, 36, |
| 2765 | |
| 2766 | 37, 38, 39, |
| 2767 | 40, 41, 42, |
| 2768 | 43, 44, 45, |
| 2769 | 46, 47, 48, |
| 2770 | 49, 50, 51, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2771 | 52, 53, 54 |
| 2772 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2773 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2774 | std::vector<uint16_t> input1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2775 | { |
| 2776 | 1, 2, 3, |
| 2777 | 4, 5, 6, |
| 2778 | 7, 8, 9, |
| 2779 | 10, 11, 12, |
| 2780 | 13, 14, 15, |
| 2781 | 16, 17, 18, |
| 2782 | |
| 2783 | 19, 20, 21, |
| 2784 | 22, 23, 24, |
| 2785 | 25, 26, 27, |
| 2786 | 28, 29, 30, |
| 2787 | 31, 32, 33, |
| 2788 | 34, 35, 36, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2789 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2790 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2791 | std::vector<uint16_t> input2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2792 | { |
| 2793 | 37, 38, 39, |
| 2794 | 40, 41, 42, |
| 2795 | 43, 44, 45, |
| 2796 | 46, 47, 48, |
| 2797 | 49, 50, 51, |
| 2798 | 52, 53, 54, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2799 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2800 | |
| 2801 | std::vector<unsigned int> wOrigin1 = { 0, 0, 0 }; //Extent of the window is defined by size of input[0]. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2802 | ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2803 | |
| 2804 | std::vector<unsigned int> wOrigin2 = { 2, 0, 0 }; //Extent of the window is defined by size of input[1]. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2805 | ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2806 | |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2807 | |
| 2808 | std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2809 | |
| 2810 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 2811 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2812 | std::unique_ptr<ITensorHandle> inputHandle1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2813 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2814 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 2815 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2816 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2817 | std::unique_ptr<ITensorHandle> inputHandle2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2818 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2819 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 2820 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 2821 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2822 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2823 | ConcatQueueDescriptor data; |
| 2824 | WorkloadInfo info; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2825 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2826 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2827 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2828 | |
| 2829 | data.m_ViewOrigins.push_back(window1); |
| 2830 | data.m_ViewOrigins.push_back(window2); |
| 2831 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame^] | 2832 | std::unique_ptr<IWorkload> workload = workloadFactory.CreateWorkload(LayerType::Concat, data, info); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2833 | |
| 2834 | inputHandle1->Allocate(); |
| 2835 | inputHandle2->Allocate(); |
| 2836 | outputHandle->Allocate(); |
| 2837 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2838 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 2839 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2840 | |
| 2841 | workload->PostAllocationConfigure(); |
| 2842 | workload->Execute(); |
| 2843 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2844 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2845 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2846 | return LayerTestResult<uint16_t, 3>(actualOutput, |
| 2847 | expectedOutput, |
| 2848 | outputHandle->GetShape(), |
| 2849 | outputTensorInfo.GetShape()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2850 | } |
| 2851 | |
| 2852 | LayerTestResult<uint8_t, 1> Concat1dUint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2853 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2854 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2855 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2856 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2857 | return Concat1dTestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2858 | } |
| 2859 | |
| 2860 | LayerTestResult<uint8_t, 2> Concat2dDim0Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2861 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2862 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2863 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2864 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2865 | return Concat2dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2866 | } |
| 2867 | |
| 2868 | LayerTestResult<uint8_t, 2> Concat2dDim1Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2869 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2870 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2871 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2872 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2873 | return Concat2dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2874 | } |
| 2875 | |
| 2876 | LayerTestResult<uint8_t, 2> Concat2dDim0DiffInputDimsUint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2877 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2878 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2879 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2880 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2881 | return Concat2dDim0DiffInputDimsTestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2882 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2883 | } |
| 2884 | |
| 2885 | LayerTestResult<uint8_t, 2> Concat2dDim1DiffInputDimsUint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2886 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2887 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2888 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2889 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2890 | return Concat2dDim1DiffInputDimsTestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2891 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2892 | } |
| 2893 | |
| 2894 | LayerTestResult<uint8_t, 3> Concat3dDim0Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2895 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2896 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2897 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2898 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2899 | return Concat3dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2900 | } |
| 2901 | |
| 2902 | LayerTestResult<uint8_t, 3> Concat3dDim1Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2903 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2904 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2905 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2906 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2907 | return Concat3dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2908 | } |
| 2909 | |
| 2910 | LayerTestResult<uint8_t, 3> Concat3dDim2Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2911 | IWorkloadFactory& workloadFactory, |
| 2912 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2913 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2914 | bool useSubtensor) |
| 2915 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2916 | return Concat3dDim2TestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2917 | workloadFactory, memoryManager, tensorHandleFactory, useSubtensor, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2918 | } |
| 2919 | |
| 2920 | LayerTestResult<uint8_t, 3> Concat3dDim0DiffInputDimsUint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2921 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2922 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2923 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2924 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2925 | return Concat3dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2926 | } |
| 2927 | |
| 2928 | LayerTestResult<uint8_t, 3> Concat3dDim1DiffInputDimsUint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2929 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2930 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2931 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2932 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2933 | return Concat3dDim1DiffInputDimsTestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2934 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2935 | } |
| 2936 | |
| 2937 | LayerTestResult<uint8_t, 3> Concat3dDim2DiffInputDimsUint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2938 | IWorkloadFactory& workloadFactory, |
| 2939 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2940 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2941 | bool useSubtensor) |
| 2942 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2943 | return Concat3dDim2DiffInputDimsTestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2944 | workloadFactory, memoryManager, tensorHandleFactory, useSubtensor, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2945 | } |
| 2946 | |
| 2947 | LayerTestResult<uint8_t, 4> Concat4dDim0Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2948 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2949 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2950 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2951 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2952 | return Concat4dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2953 | } |
| 2954 | |
| 2955 | LayerTestResult<uint8_t, 4> Concat4dDim1Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2956 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2957 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2958 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2959 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2960 | return Concat4dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2961 | } |
| 2962 | |
| 2963 | LayerTestResult<uint8_t, 4> Concat4dDim2Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2964 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2965 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2966 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2967 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2968 | return Concat4dDim2TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2969 | } |
| 2970 | |
| 2971 | LayerTestResult<uint8_t, 4> Concat4dDim3Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2972 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2973 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2974 | const armnn::ITensorHandleFactory& tensorHandleFactory, bool useSubtensor) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2975 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2976 | return Concat4dDim3TestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2977 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1, useSubtensor); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2978 | } |
| 2979 | |
| 2980 | LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim0Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2981 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2982 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2983 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2984 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2985 | return Concat4dDiffShapeDim0TestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2986 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2987 | } |
| 2988 | |
| 2989 | LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim1Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2990 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2991 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2992 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2993 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2994 | return Concat4dDiffShapeDim1TestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2995 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2996 | } |
| 2997 | |
| 2998 | LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim2Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2999 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 3000 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3001 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 3002 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 3003 | return Concat4dDiffShapeDim2TestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 3004 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 3005 | } |
| 3006 | |
| 3007 | LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim3Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 3008 | IWorkloadFactory& workloadFactory, |
| 3009 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 3010 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 3011 | bool useSubtensor) |
| 3012 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 3013 | return Concat4dDiffShapeDim3TestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 3014 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1, useSubtensor); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 3015 | } |