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 | |
Colm Donelan | c42a987 | 2022-02-02 16:35:09 +0000 | [diff] [blame] | 8 | #include <armnnUtils/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 | |
Colm Donelan | c42a987 | 2022-02-02 16:35:09 +0000 | [diff] [blame] | 17 | #include <armnnTestUtils/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 | // |
Teresa Charlin | 6abc7ee | 2022-02-22 17:32:27 +0000 | [diff] [blame] | 423 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
| 424 | LayerTestResult<T, 3> ConcatTestImpl( |
| 425 | IWorkloadFactory& workloadFactory, |
| 426 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 427 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 428 | { |
| 429 | |
| 430 | IgnoreUnused(memoryManager); |
| 431 | |
| 432 | unsigned int outputWidth = 3; |
| 433 | unsigned int outputHeight = 6; |
| 434 | unsigned int outputChannels = 3; |
| 435 | |
| 436 | unsigned int inputWidth1 = 3; |
| 437 | unsigned int inputHeight1 = 6; |
| 438 | unsigned int inputChannels1 = 2; |
| 439 | |
| 440 | unsigned int inputWidth2 = 3; |
| 441 | unsigned int inputHeight2 = 6; |
| 442 | unsigned int inputChannels2 = 1; |
| 443 | |
| 444 | // Define the tensor descriptors. |
| 445 | TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, ArmnnType); |
| 446 | TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, ArmnnType); |
| 447 | TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, ArmnnType); |
| 448 | |
| 449 | std::vector<T> actualOutput(outputTensorInfo.GetNumElements()); |
| 450 | |
| 451 | std::vector<T> expectedOutput = |
| 452 | { |
| 453 | 1, 2, 3, |
| 454 | 4, 5, 6, |
| 455 | 7, 8, 9, |
| 456 | 10, 11, 12, |
| 457 | 13, 14, 15, |
| 458 | 16, 17, 18, |
| 459 | |
| 460 | 19, 20, 21, |
| 461 | 22, 23, 24, |
| 462 | 25, 26, 27, |
| 463 | 28, 29, 30, |
| 464 | 31, 32, 33, |
| 465 | 34, 35, 36, |
| 466 | |
| 467 | 37, 38, 39, |
| 468 | 40, 41, 42, |
| 469 | 43, 44, 45, |
| 470 | 46, 47, 48, |
| 471 | 49, 50, 51, |
| 472 | 52, 53, 54 |
| 473 | }; |
| 474 | |
| 475 | std::vector<T> input1 = |
| 476 | { |
| 477 | 1, 2, 3, |
| 478 | 4, 5, 6, |
| 479 | 7, 8, 9, |
| 480 | 10, 11, 12, |
| 481 | 13, 14, 15, |
| 482 | 16, 17, 18, |
| 483 | |
| 484 | 19, 20, 21, |
| 485 | 22, 23, 24, |
| 486 | 25, 26, 27, |
| 487 | 28, 29, 30, |
| 488 | 31, 32, 33, |
| 489 | 34, 35, 36 |
| 490 | }; |
| 491 | |
| 492 | std::vector<T> input2 = |
| 493 | { |
| 494 | 37, 38, 39, |
| 495 | 40, 41, 42, |
| 496 | 43, 44, 45, |
| 497 | 46, 47, 48, |
| 498 | 49, 50, 51, |
| 499 | 52, 53, 54, |
| 500 | }; |
| 501 | |
| 502 | std::vector<unsigned int> wOrigin1 = {0, 0, 0}; //Extent of the window is defined by size of input[0]. |
| 503 | ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
| 504 | |
| 505 | std::vector<unsigned int> wOrigin2 = {2, 0, 0}; //Extent of the window is defined by size of input[1]. |
| 506 | ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
| 507 | |
| 508 | std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
| 509 | |
| 510 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 511 | |
| 512 | std::unique_ptr<ITensorHandle> inputHandle1 = |
| 513 | subTensorsSupported ? |
| 514 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 515 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
| 516 | |
| 517 | std::unique_ptr<ITensorHandle> inputHandle2 = |
| 518 | subTensorsSupported ? |
| 519 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 520 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 521 | |
| 522 | ConcatQueueDescriptor data; |
| 523 | WorkloadInfo info; |
| 524 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 525 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 526 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 527 | |
| 528 | data.m_ViewOrigins.push_back(window1); |
| 529 | data.m_ViewOrigins.push_back(window2); |
| 530 | |
| 531 | std::unique_ptr<IWorkload> workload = workloadFactory.CreateWorkload(LayerType::Concat, data, info); |
| 532 | |
| 533 | inputHandle1->Allocate(); |
| 534 | inputHandle2->Allocate(); |
| 535 | outputHandle->Allocate(); |
| 536 | |
| 537 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 538 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
| 539 | |
| 540 | workload->PostAllocationConfigure(); |
| 541 | workload->Execute(); |
| 542 | |
| 543 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
| 544 | |
| 545 | return LayerTestResult<T, 3>(actualOutput, |
| 546 | expectedOutput, |
| 547 | outputHandle->GetShape(), |
| 548 | outputTensorInfo.GetShape()); |
| 549 | } |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 550 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 551 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 552 | LayerTestResult<T, 1> Concat1dTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 553 | IWorkloadFactory& workloadFactory, |
| 554 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 555 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 556 | float qScale, |
| 557 | int32_t qOffset) |
| 558 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 559 | TensorInfo inputTensorInfo({ 3 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 560 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 561 | auto input0 = QuantizedVector<T>({ 1.0f, 2.0f, 3.0f }, qScale, qOffset); |
| 562 | auto input1 = QuantizedVector<T>({ 4.0f, 5.0f, 6.0f }, qScale, qOffset); |
| 563 | 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] | 564 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 565 | TensorInfo outputTensorInfo({ 9 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 566 | |
| 567 | LayerTestResult<T, 1> result(outputTensorInfo); |
| 568 | |
| 569 | std::vector<T> output; |
| 570 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 571 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 572 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 573 | { input0.data(), input1.data(), input2.data() }, |
| 574 | outputTensorInfo, |
| 575 | output.data(), |
| 576 | 0, |
| 577 | true); |
| 578 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 579 | result.m_ActualData = output; |
| 580 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 581 | { |
| 582 | 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f |
| 583 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 584 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 585 | |
| 586 | return result; |
| 587 | } |
| 588 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 589 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 590 | LayerTestResult<T, 2> Concat2dTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 591 | IWorkloadFactory& workloadFactory, |
| 592 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 593 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 594 | const TensorInfo& outputTensorInfo, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 595 | unsigned int dimension, |
| 596 | const float qScale, |
| 597 | const int32_t qOffset) |
| 598 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 599 | TensorInfo inputTensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 600 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 601 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 602 | { |
| 603 | // Batch 0 |
| 604 | 1.0f, 2.0f, 3.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 605 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 606 | // Batch 1 |
| 607 | 10.0f, 11.0f, 12.0f, |
| 608 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 609 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 610 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 611 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 612 | { |
| 613 | // Batch 0 |
| 614 | 4.0f, 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 615 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 616 | // Batch 1 |
| 617 | 13.0f, 14.0f, 15.0f, |
| 618 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 619 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 620 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 621 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 622 | { |
| 623 | // Batch 0 |
| 624 | 7.0f, 8.0f, 9.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 625 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 626 | // Batch 1 |
| 627 | 16.0f, 17.0f, 18.0f, |
| 628 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 629 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 630 | |
| 631 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 632 | |
| 633 | std::vector<T> output; |
| 634 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 635 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 636 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 637 | { input0.data(), input1.data(), input2.data() }, |
| 638 | outputTensorInfo, |
| 639 | output.data(), |
| 640 | dimension, |
| 641 | true); |
| 642 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 643 | result.m_ActualData = output; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 644 | return result; |
| 645 | } |
| 646 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 647 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 648 | LayerTestResult<T, 2> Concat2dDim0TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 649 | IWorkloadFactory& workloadFactory, |
| 650 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 651 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 652 | float qScale, |
| 653 | int32_t qOffset) |
| 654 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 655 | TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 656 | |
| 657 | LayerTestResult<T, 2> result = Concat2dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 658 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 0, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 659 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 660 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 661 | { |
| 662 | // Batch 0 |
| 663 | 1.0f, 2.0f, 3.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 664 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 665 | // Batch 1 |
| 666 | 10.0f, 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 667 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 668 | // Batch 2 |
| 669 | 4.0f, 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 670 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 671 | // Batch 3 |
| 672 | 13.0f, 14.0f, 15.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 673 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 674 | // Batch 4 |
| 675 | 7.0f, 8.0f, 9.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 676 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 677 | // Batch 5 |
| 678 | 16.0f, 17.0f, 18.0f, |
| 679 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 680 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 681 | |
| 682 | return result; |
| 683 | } |
| 684 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 685 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 686 | LayerTestResult<T, 2> Concat2dDim1TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 687 | IWorkloadFactory& workloadFactory, |
| 688 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 689 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 690 | float qScale, |
| 691 | int32_t qOffset) |
| 692 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 693 | TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 694 | |
| 695 | LayerTestResult<T, 2> result = Concat2dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 696 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 1, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 697 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 698 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 699 | { |
| 700 | // Batch 0 |
| 701 | 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] | 702 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 703 | // Batch 1 |
| 704 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f |
| 705 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 706 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 707 | |
| 708 | return result; |
| 709 | } |
| 710 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 711 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 712 | LayerTestResult<T, 2> Concat2dDim0DiffInputDimsTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 713 | IWorkloadFactory& workloadFactory, |
| 714 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 715 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 716 | float qScale, |
| 717 | int32_t qOffset) |
| 718 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 719 | TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 720 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 721 | { |
| 722 | // Batch 0 |
| 723 | 1.0f, 2.0f, 3.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 724 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 725 | // Batch 1 |
| 726 | 10.0f, 11.0f, 12.0f, |
| 727 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 728 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 729 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 730 | TensorInfo input1TensorInfo({ 3, 3 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 731 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 732 | { |
| 733 | // Batch 0 |
| 734 | 4.0f, 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 735 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 736 | // Batch 1 |
| 737 | 13.0f, 14.0f, 15.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 738 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 739 | // Batch 0 |
| 740 | 7.0f, 8.0f, 9.0f, |
| 741 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 742 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 743 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 744 | TensorInfo input2TensorInfo({ 1, 3 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 745 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 746 | { |
| 747 | // Batch 1 |
| 748 | 16.0f, 17.0f, 18.0f, |
| 749 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 750 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 751 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 752 | TensorInfo outputTensorInfo({ 6, 3 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 753 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 754 | |
| 755 | std::vector<T> output; |
| 756 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 757 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 758 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 759 | { input0.data(), input1.data(), input2.data() }, |
| 760 | outputTensorInfo, |
| 761 | output.data(), |
| 762 | 0, |
| 763 | true); |
| 764 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 765 | result.m_ActualData = output; |
| 766 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 767 | { |
| 768 | // Batch 0 |
| 769 | 1.0f, 2.0f, 3.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 770 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 771 | // Batch 1 |
| 772 | 10.0f, 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 773 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 774 | // Batch 2 |
| 775 | 4.0f, 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 776 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 777 | // Batch 3 |
| 778 | 13.0f, 14.0f, 15.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 779 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 780 | // Batch 4 |
| 781 | 7.0f, 8.0f, 9.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 782 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 783 | // Batch 5 |
| 784 | 16.0f, 17.0f, 18.0f, |
| 785 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 786 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 787 | |
| 788 | return result; |
| 789 | } |
| 790 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 791 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 792 | LayerTestResult<T, 2> Concat2dDim1DiffInputDimsTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 793 | IWorkloadFactory& workloadFactory, |
| 794 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 795 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 796 | float qScale, |
| 797 | int32_t qOffset) |
| 798 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 799 | TensorInfo input0TensorInfo({ 2, 3 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 800 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 801 | { |
| 802 | // Batch 0 |
| 803 | 1.0f, 2.0f, 3.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 804 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 805 | // Batch 1 |
| 806 | 10.0f, 11.0f, 12.0f, |
| 807 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 808 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 809 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 810 | TensorInfo input1TensorInfo({ 2, 5 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 811 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 812 | { |
| 813 | // Batch 0 |
| 814 | 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 815 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 816 | // Batch 1 |
| 817 | 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, |
| 818 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 819 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 820 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 821 | TensorInfo input2TensorInfo({ 2, 1 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 822 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 823 | { |
| 824 | // Batch 0 |
| 825 | 9.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 826 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 827 | // Batch 1 |
| 828 | 18.0f |
| 829 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 830 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 831 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 832 | TensorInfo outputTensorInfo({ 2, 9 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 833 | LayerTestResult<T, 2> result(outputTensorInfo); |
| 834 | |
| 835 | std::vector<T> output; |
| 836 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 837 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 838 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 839 | { input0.data(), input1.data(), input2.data() }, |
| 840 | outputTensorInfo, |
| 841 | output.data(), |
| 842 | 1, |
| 843 | true); |
| 844 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 845 | result.m_ActualData = output; |
| 846 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 847 | { |
| 848 | // Batch 0 |
| 849 | 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] | 850 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 851 | // Batch 1 |
| 852 | 10.0f, 11.0f, 12.0f, 13.0f, 14.0f, 15.0f, 16.0f, 17.0f, 18.0f, |
| 853 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 854 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 855 | |
| 856 | return result; |
| 857 | } |
| 858 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 859 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 860 | LayerTestResult<T, 3> Concat3dTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 861 | IWorkloadFactory& workloadFactory, |
| 862 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 863 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 864 | const TensorInfo& outputTensorInfo, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 865 | unsigned int dimension, |
| 866 | bool useSubtensor, |
| 867 | float qScale, |
| 868 | int32_t qOffset) |
| 869 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 870 | TensorInfo inputTensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 871 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 872 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 873 | { |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 874 | // Batch 0, Channel 0 |
| 875 | 1.0f, 2.0f, |
| 876 | |
| 877 | // Batch 0, Channel 1 |
| 878 | 3.0f, 4.0f, |
| 879 | |
| 880 | // Batch 0, Channel 2 |
| 881 | 5.0f, 6.0f, |
| 882 | |
| 883 | // Batch 1, Channel 0 |
| 884 | 19.0f, 20.0f, |
| 885 | |
| 886 | // Batch 1, Channel 1 |
| 887 | 21.0f, 22.0f, |
| 888 | |
| 889 | // Batch 1, Channel 2 |
| 890 | 23.0f, 24.0f |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 891 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 892 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 893 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 894 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 895 | { |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 896 | // Batch 0, Channel 0 |
| 897 | 7.0f, 8.0f, |
| 898 | |
| 899 | // Batch 0, Channel 1 |
| 900 | 9.0f, 10.0f, |
| 901 | |
| 902 | // Batch 0, Channel 2 |
| 903 | 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 904 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 905 | // Batch 1, Channel 0 |
| 906 | 25.0f, 26.0f, |
| 907 | |
| 908 | // Batch 1, Channel 1 |
| 909 | 27.0f, 28.0f, |
| 910 | |
| 911 | // Batch 1, Channel 2 |
| 912 | 29.0f, 30.0f |
| 913 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 914 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 915 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 916 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 917 | { |
| 918 | // Batch 0, Channel 0 |
| 919 | 13.0f, 14.0f, |
| 920 | |
| 921 | // Batch 0, Channel 1 |
| 922 | 15.0f, 16.0f, |
| 923 | |
| 924 | // Batch 0, Channel 2 |
| 925 | 17.0f, 18.0f, |
| 926 | |
| 927 | // Batch 1, Channel 0 |
| 928 | 31.0f, 32.0f, |
| 929 | |
| 930 | // Batch 1, Channel 1 |
| 931 | 33.0f, 34.0f, |
| 932 | |
| 933 | // Batch 1, Channel 2 |
| 934 | 35.0f, 36.0f |
| 935 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 936 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 937 | |
| 938 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 939 | |
| 940 | std::vector<T> output; |
| 941 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 942 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 943 | { inputTensorInfo, inputTensorInfo, inputTensorInfo }, |
| 944 | { input0.data(), input1.data(), input2.data() }, |
| 945 | outputTensorInfo, |
| 946 | output.data(), |
| 947 | dimension, |
| 948 | useSubtensor); |
| 949 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 950 | result.m_ActualData = output; |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 951 | return result; |
| 952 | } |
| 953 | |
| 954 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
| 955 | LayerTestResult<T, 3> Concat3dDim0TestImpl( |
| 956 | IWorkloadFactory& workloadFactory, |
| 957 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 958 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 959 | float qScale, |
| 960 | int32_t qOffset) |
| 961 | { |
| 962 | TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType, qScale, qOffset); |
| 963 | |
| 964 | LayerTestResult<T, 3> result = Concat3dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 965 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 0, true, qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 966 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 967 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 968 | { |
| 969 | // Batch 0, Channel 0 |
| 970 | 1.0f, 2.0f, |
| 971 | |
| 972 | // Batch 0, Channel 1 |
| 973 | 3.0f, 4.0f, |
| 974 | |
| 975 | // Batch 0, Channel 2 |
| 976 | 5.0f, 6.0f, |
| 977 | |
| 978 | // Batch 1, Channel 0 |
| 979 | 19.0f, 20.0f, |
| 980 | |
| 981 | // Batch 1, Channel 1 |
| 982 | 21.0f, 22.0f, |
| 983 | |
| 984 | // Batch 1, Channel 2 |
| 985 | 23.0f, 24.0f, |
| 986 | |
| 987 | // Batch 2, Channel 0 |
| 988 | 7.0f, 8.0f, |
| 989 | |
| 990 | // Batch 2, Channel 1 |
| 991 | 9.0f, 10.0f, |
| 992 | |
| 993 | // Batch 2, Channel 2 |
| 994 | 11.0f, 12.0f, |
| 995 | |
| 996 | // Batch 3, Channel 0 |
| 997 | 25.0f, 26.0f, |
| 998 | |
| 999 | // Batch 3, Channel 1 |
| 1000 | 27.0f, 28.0f, |
| 1001 | |
| 1002 | // Batch 3, Channel 2 |
| 1003 | 29.0f, 30.0f, |
| 1004 | |
| 1005 | // Batch 4, Channel 0 |
| 1006 | 13.0f, 14.0f, |
| 1007 | |
| 1008 | // Batch 4, Channel 1 |
| 1009 | 15.0f, 16.0f, |
| 1010 | |
| 1011 | // Batch 4, Channel 2 |
| 1012 | 17.0f, 18.0f, |
| 1013 | |
| 1014 | // Batch 5, Channel 0 |
| 1015 | 31.0f, 32.0f, |
| 1016 | |
| 1017 | // Batch 5, Channel 1 |
| 1018 | 33.0f, 34.0f, |
| 1019 | |
| 1020 | // Batch 5, Channel 2 |
| 1021 | 35.0f, 36.0f |
| 1022 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1023 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1024 | |
| 1025 | return result; |
| 1026 | } |
| 1027 | |
| 1028 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
| 1029 | LayerTestResult<T, 3> Concat3dDim1TestImpl( |
| 1030 | IWorkloadFactory& workloadFactory, |
| 1031 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1032 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1033 | float qScale, |
| 1034 | int32_t qOffset) |
| 1035 | { |
| 1036 | TensorInfo outputTensorInfo({ 2, 9, 2 }, ArmnnType, qScale, qOffset); |
| 1037 | |
| 1038 | LayerTestResult<T, 3> result = Concat3dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1039 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 1, true, qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1040 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1041 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1042 | { |
| 1043 | // Batch 0, Channel 0 |
| 1044 | 1.0f, 2.0f, |
| 1045 | |
| 1046 | // Batch 0, Channel 1 |
| 1047 | 3.0f, 4.0f, |
| 1048 | |
| 1049 | // Batch 0, Channel 2 |
| 1050 | 5.0f, 6.0f, |
| 1051 | |
| 1052 | // Batch 0, Channel 3 |
| 1053 | 7.0f, 8.0f, |
| 1054 | |
| 1055 | // Batch 0, Channel 4 |
| 1056 | 9.0f, 10.0f, |
| 1057 | |
| 1058 | // Batch 0, Channel 5 |
| 1059 | 11.0f, 12.0f, |
| 1060 | |
| 1061 | // Batch 0, Channel 6 |
| 1062 | 13.0f, 14.0f, |
| 1063 | |
| 1064 | // Batch 0, Channel 7 |
| 1065 | 15.0f, 16.0f, |
| 1066 | |
| 1067 | // Batch 0, Channel 8 |
| 1068 | 17.0f, 18.0f, |
| 1069 | |
| 1070 | // Batch 1, Channel 0 |
| 1071 | 19.0f, 20.0f, |
| 1072 | |
| 1073 | // Batch 1, Channel 1 |
| 1074 | 21.0f, 22.0f, |
| 1075 | |
| 1076 | // Batch 1, Channel 2 |
| 1077 | 23.0f, 24.0f, |
| 1078 | |
| 1079 | // Batch 1, Channel 3 |
| 1080 | 25.0f, 26.0f, |
| 1081 | |
| 1082 | // Batch 1, Channel 4 |
| 1083 | 27.0f, 28.0f, |
| 1084 | |
| 1085 | // Batch 1, Channel 5 |
| 1086 | 29.0f, 30.0f, |
| 1087 | |
| 1088 | // Batch 1, Channel 6 |
| 1089 | 31.0f, 32.0f, |
| 1090 | |
| 1091 | // Batch 1, Channel 7 |
| 1092 | 33.0f, 34.0f, |
| 1093 | |
| 1094 | // Batch 1, Channel 8 |
| 1095 | 35.0f, 36.0f |
| 1096 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1097 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1098 | |
| 1099 | return result; |
| 1100 | } |
| 1101 | |
| 1102 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
| 1103 | LayerTestResult<T, 3> Concat3dDim2TestImpl( |
| 1104 | IWorkloadFactory& workloadFactory, |
| 1105 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1106 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1107 | bool useSubtensor, |
| 1108 | float qScale, |
| 1109 | int32_t qOffset) |
| 1110 | { |
| 1111 | TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
| 1112 | |
| 1113 | LayerTestResult<T, 3> result = Concat3dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1114 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 2, useSubtensor, qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1115 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1116 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1117 | { |
| 1118 | // Batch 0, Channel 0 |
| 1119 | 1.0f, 2.0f, 7.0f, 8.0f, 13.0f, 14.0f, |
| 1120 | |
| 1121 | // Batch 0, Channel 1 |
| 1122 | 3.0f, 4.0f, 9.0f, 10.0f, 15.0f, 16.0f, |
| 1123 | |
| 1124 | // Batch 0, Channel 2 |
| 1125 | 5.0f, 6.0f, 11.0f, 12.0f, 17.0f, 18.0f, |
| 1126 | |
| 1127 | // Batch 1, Channel 0 |
| 1128 | 19.0f, 20.0f, 25.0f, 26.0f, 31.0f, 32.0f, |
| 1129 | |
| 1130 | // Batch 1, Channel 1 |
| 1131 | 21.0f, 22.0f, 27.0f, 28.0f, 33.0f, 34.0f, |
| 1132 | |
| 1133 | // Batch 1, Channel 2 |
| 1134 | 23.0f, 24.0f, 29.0f, 30.0f, 35.0f, 36.0f, |
| 1135 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1136 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1137 | |
| 1138 | return result; |
| 1139 | } |
| 1140 | |
| 1141 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
| 1142 | LayerTestResult<T, 3> Concat3dDim0DiffInputDimsTestImpl( |
| 1143 | IWorkloadFactory& workloadFactory, |
| 1144 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1145 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1146 | float qScale, |
| 1147 | int32_t qOffset) |
| 1148 | { |
| 1149 | TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1150 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1151 | { |
| 1152 | // Batch 0, Channel 0 |
| 1153 | 1.0f, 2.0f, |
| 1154 | |
| 1155 | // Batch 0, Channel 1 |
| 1156 | 3.0f, 4.0f, |
| 1157 | |
| 1158 | // Batch 0, Channel 2 |
| 1159 | 5.0f, 6.0f, |
| 1160 | |
| 1161 | // Batch 1, Channel 0 |
| 1162 | 19.0f, 20.0f, |
| 1163 | |
| 1164 | // Batch 1, Channel 1 |
| 1165 | 21.0f, 22.0f, |
| 1166 | |
| 1167 | // Batch 1, Channel 2 |
| 1168 | 23.0f, 24.0f |
| 1169 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1170 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1171 | |
| 1172 | TensorInfo input1TensorInfo({ 1, 3, 2 }, ArmnnType); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1173 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1174 | { |
| 1175 | // Batch 0, Channel 0 |
| 1176 | 7.0f, 8.0f, |
| 1177 | |
| 1178 | // Batch 0, Channel 1 |
| 1179 | 9.0f, 10.0f, |
| 1180 | |
| 1181 | // Batch 0, Channel 2 |
| 1182 | 11.0f, 12.0f, |
| 1183 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1184 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1185 | |
| 1186 | TensorInfo input2TensorInfo({ 3, 3, 2 }, ArmnnType); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1187 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1188 | { |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1189 | // Batch 0, Channel 0 |
| 1190 | 25.0f, 26.0f, |
| 1191 | |
| 1192 | // Batch 0, Channel 1 |
| 1193 | 27.0f, 28.0f, |
| 1194 | |
| 1195 | // Batch 0, Channel 2 |
| 1196 | 29.0f, 30.0f, |
| 1197 | |
| 1198 | // Batch 1, Channel 0 |
| 1199 | 13.0f, 14.0f, |
| 1200 | |
| 1201 | // Batch 1, Channel 1 |
| 1202 | 15.0f, 16.0f, |
| 1203 | |
| 1204 | // Batch 1, Channel 2 |
| 1205 | 17.0f, 18.0f, |
| 1206 | |
| 1207 | // Batch 2, Channel 0 |
| 1208 | 31.0f, 32.0f, |
| 1209 | |
| 1210 | // Batch 2, Channel 1 |
| 1211 | 33.0f, 34.0f, |
| 1212 | |
| 1213 | // Batch 2, Channel 2 |
| 1214 | 35.0f, 36.0f |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1215 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1216 | qScale, qOffset); |
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 | TensorInfo outputTensorInfo({ 6, 3, 2 }, ArmnnType); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1219 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 1220 | |
| 1221 | std::vector<T> output; |
| 1222 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1223 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1224 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 1225 | { input0.data(), input1.data(), input2.data() }, |
| 1226 | outputTensorInfo, |
| 1227 | output.data(), |
| 1228 | 0, |
| 1229 | true); |
| 1230 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1231 | result.m_ActualData = output; |
| 1232 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1233 | { |
| 1234 | // Batch 0, Channel 0 |
| 1235 | 1.0f, 2.0f, |
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 | // Batch 0, Channel 1 |
| 1238 | 3.0f, 4.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1239 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1240 | // Batch 0, Channel 2 |
| 1241 | 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1242 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1243 | // Batch 1, Channel 0 |
| 1244 | 19.0f, 20.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1245 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1246 | // Batch 1, Channel 1 |
| 1247 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1248 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1249 | // Batch 1, Channel 2 |
| 1250 | 23.0f, 24.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1251 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1252 | // Batch 2, Channel 0 |
| 1253 | 7.0f, 8.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1254 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1255 | // Batch 2, Channel 1 |
| 1256 | 9.0f, 10.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1257 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1258 | // Batch 2, Channel 2 |
| 1259 | 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1260 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1261 | // Batch 3, Channel 0 |
| 1262 | 25.0f, 26.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1263 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1264 | // Batch 3, Channel 1 |
| 1265 | 27.0f, 28.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1266 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1267 | // Batch 3, Channel 2 |
| 1268 | 29.0f, 30.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1269 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1270 | // Batch 4, Channel 0 |
| 1271 | 13.0f, 14.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1272 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1273 | // Batch 4, Channel 1 |
| 1274 | 15.0f, 16.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1275 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1276 | // Batch 4, Channel 2 |
| 1277 | 17.0f, 18.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1278 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1279 | // Batch 5, Channel 0 |
| 1280 | 31.0f, 32.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1281 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1282 | // Batch 5, Channel 1 |
| 1283 | 33.0f, 34.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1284 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1285 | // Batch 5, Channel 2 |
| 1286 | 35.0f, 36.0f |
| 1287 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1288 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1289 | |
| 1290 | return result; |
| 1291 | } |
| 1292 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1293 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1294 | LayerTestResult<T, 3> Concat3dDim1DiffInputDimsTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1295 | IWorkloadFactory& workloadFactory, |
| 1296 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1297 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1298 | float qScale, |
| 1299 | int32_t qOffset) |
| 1300 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1301 | TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1302 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1303 | { |
| 1304 | // Batch 0, Channel 0 |
| 1305 | 1.0f, 2.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1306 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1307 | // Batch 0, Channel 1 |
| 1308 | 3.0f, 4.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1309 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1310 | // Batch 0, Channel 2 |
| 1311 | 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1312 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1313 | // Batch 1, Channel 0 |
| 1314 | 19.0f, 20.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1315 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1316 | // Batch 1, Channel 1 |
| 1317 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1318 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1319 | // Batch 1, Channel 2 |
| 1320 | 23.0f, 24.0f |
| 1321 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1322 | qScale, qOffset); |
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 | TensorInfo input1TensorInfo({ 2, 4, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1325 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1326 | { |
| 1327 | // Batch 0, Channel 0 |
| 1328 | 7.0f, 8.0f, |
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 0, Channel 1 |
| 1331 | 9.0f, 10.0f, |
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 0, Channel 2 |
| 1334 | 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1335 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1336 | // Batch 0, Channel 3 |
| 1337 | 25.0f, 26.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1338 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1339 | // Batch 1, Channel 0 |
| 1340 | 27.0f, 28.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1341 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1342 | // Batch 1, Channel 1 |
| 1343 | 29.0f, 30.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1344 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1345 | // Batch 1, Channel 2 |
| 1346 | 13.0f, 14.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1347 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1348 | // Batch 1, Channel 3 |
| 1349 | 15.0f, 16.0f, |
| 1350 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1351 | qScale, qOffset); |
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 | TensorInfo input2TensorInfo({ 2, 1, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1354 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1355 | { |
| 1356 | // Batch 0, Channel 0 |
| 1357 | 17.0f, 18.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1358 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1359 | // Batch 1, Channel 0 |
| 1360 | 31.0f, 32.0f, |
| 1361 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1362 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1363 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1364 | TensorInfo outputTensorInfo({ 2, 8, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1365 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 1366 | |
| 1367 | std::vector<T> output; |
| 1368 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1369 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1370 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 1371 | { input0.data(), input1.data(), input2.data() }, |
| 1372 | outputTensorInfo, |
| 1373 | output.data(), |
| 1374 | 1, |
| 1375 | true); |
| 1376 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1377 | result.m_ActualData = output; |
| 1378 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1379 | { |
| 1380 | // Batch 0, Channel 0 |
| 1381 | 1.0f, 2.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1382 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1383 | // Batch 0, Channel 1 |
| 1384 | 3.0f, 4.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1385 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1386 | // Batch 0, Channel 2 |
| 1387 | 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1388 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1389 | // Batch 0, Channel 3 |
| 1390 | 7.0f, 8.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1391 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1392 | // Batch 0, Channel 4 |
| 1393 | 9.0f, 10.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1394 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1395 | // Batch 0, Channel 5 |
| 1396 | 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1397 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1398 | // Batch 0, Channel 6 |
| 1399 | 25.0f, 26.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1400 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1401 | // Batch 0, Channel 7 |
| 1402 | 17.0f, 18.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1403 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1404 | // Batch 1, Channel 0 |
| 1405 | 19.0f, 20.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1406 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1407 | // Batch 1, Channel 1 |
| 1408 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1409 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1410 | // Batch 1, Channel 2 |
| 1411 | 23.0f, 24.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1412 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1413 | // Batch 1, Channel 3 |
| 1414 | 27.0f, 28.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1415 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1416 | // Batch 1, Channel 4 |
| 1417 | 29.0f, 30.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1418 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1419 | // Batch 1, Channel 5 |
| 1420 | 13.0f, 14.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1421 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1422 | // Batch 1, Channel 6 |
| 1423 | 15.0f, 16.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1424 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1425 | // Batch 1, Channel 7 |
| 1426 | 31.0f, 32.0f, |
| 1427 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1428 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1429 | |
| 1430 | return result; |
| 1431 | } |
| 1432 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1433 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1434 | LayerTestResult<T, 3> Concat3dDim2DiffInputDimsTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1435 | IWorkloadFactory& workloadFactory, |
| 1436 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1437 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1438 | bool useSubtensor, |
| 1439 | float qScale, |
| 1440 | int32_t qOffset) |
| 1441 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1442 | TensorInfo input0TensorInfo({ 2, 3, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1443 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1444 | { |
| 1445 | // Batch 0, Channel 0 |
| 1446 | 1.0f, 2.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1447 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1448 | // Batch 0, Channel 1 |
| 1449 | 3.0f, 4.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1450 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1451 | // Batch 0, Channel 2 |
| 1452 | 5.0f, 6.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1453 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1454 | // Batch 1, Channel 0 |
| 1455 | 19.0f, 20.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1456 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1457 | // Batch 1, Channel 1 |
| 1458 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1459 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1460 | // Batch 1, Channel 2 |
| 1461 | 23.0f, 24.0f |
| 1462 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1463 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1464 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1465 | TensorInfo input1TensorInfo({ 2, 3, 1 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1466 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1467 | { |
| 1468 | // Batch 0, Channel 0 |
| 1469 | 7.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1470 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1471 | // Batch 0, Channel 1 |
| 1472 | 9.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1473 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1474 | // Batch 0, Channel 2 |
| 1475 | 11.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1476 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1477 | // Batch 1, Channel 0 |
| 1478 | 25.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1479 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1480 | // Batch 1, Channel 1 |
| 1481 | 27.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1482 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1483 | // Batch 1, Channel 2 |
| 1484 | 29.0f |
| 1485 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1486 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1487 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1488 | TensorInfo input2TensorInfo({ 2, 3, 3 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1489 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1490 | { |
| 1491 | // Batch 0, Channel 0 |
| 1492 | 13.0f, 14.0f, 50.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1493 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1494 | // Batch 0, Channel 1 |
| 1495 | 15.0f, 16.0f, 51.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1496 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1497 | // Batch 0, Channel 2 |
| 1498 | 17.0f, 18.0f, 52.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1499 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1500 | // Batch 1, Channel 0 |
| 1501 | 31.0f, 32.0f, 53.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1502 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1503 | // Batch 1, Channel 1 |
| 1504 | 33.0f, 34.0f, 54.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1505 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1506 | // Batch 1, Channel 2 |
| 1507 | 35.0f, 36.0f, 55.0f, |
| 1508 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1509 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1510 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1511 | TensorInfo outputTensorInfo({ 2, 3, 6 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1512 | LayerTestResult<T, 3> result(outputTensorInfo); |
| 1513 | |
| 1514 | std::vector<T> output; |
| 1515 | output.resize(outputTensorInfo.GetNumElements()); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1516 | Concatenate<T>(workloadFactory, memoryManager, tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1517 | { input0TensorInfo, input1TensorInfo, input2TensorInfo }, |
| 1518 | { input0.data(), input1.data(), input2.data() }, |
| 1519 | outputTensorInfo, |
| 1520 | output.data(), |
| 1521 | 2, |
| 1522 | useSubtensor); |
| 1523 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1524 | result.m_ActualData = output; |
| 1525 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1526 | { |
| 1527 | // Batch 0, Channel 0 |
| 1528 | 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] | 1529 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1530 | // Batch 0, Channel 1 |
| 1531 | 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] | 1532 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1533 | // Batch 0, Channel 2 |
| 1534 | 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] | 1535 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1536 | // Batch 1, Channel 0 |
| 1537 | 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] | 1538 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1539 | // Batch 1, Channel 1 |
| 1540 | 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] | 1541 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1542 | // Batch 1, Channel 2 |
| 1543 | 23.0f, 24.0f, 29.0f, 35.0f, 36.0f, 55.0f, |
| 1544 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1545 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1546 | |
| 1547 | return result; |
| 1548 | } |
| 1549 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1550 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1551 | LayerTestResult<T, 4> Concat4dTestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1552 | IWorkloadFactory& workloadFactory, |
| 1553 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1554 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1555 | const TensorInfo& outputTensorInfo, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1556 | unsigned int dimension, |
| 1557 | bool useSubtensor, |
| 1558 | float qScale, |
| 1559 | int32_t qOffset) |
| 1560 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1561 | TensorInfo inputTensorInfo({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1562 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1563 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1564 | { |
| 1565 | 1.0f, 2.0f, |
| 1566 | 3.0f, 4.0f, |
| 1567 | 5.0f, 6.0f, |
| 1568 | 7.0f, 8.0f, |
| 1569 | 9.0f, 10.0f, |
| 1570 | 11.0f, 12.0f |
| 1571 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1572 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1573 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1574 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1575 | { |
| 1576 | 11.0f, 12.0f, |
| 1577 | 13.0f, 14.0f, |
| 1578 | 15.0f, 16.0f, |
| 1579 | 17.0f, 18.0f, |
| 1580 | 19.0f, 20.0f, |
| 1581 | 21.0f, 22.0f |
| 1582 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1583 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1584 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1585 | auto input2 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1586 | { |
| 1587 | 21.0f, 22.0f, |
| 1588 | 23.0f, 24.0f, |
| 1589 | 25.0f, 26.0f, |
| 1590 | 27.0f, 28.0f, |
| 1591 | 29.0f, 30.0f, |
| 1592 | 31.0f, 32.0f |
| 1593 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1594 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1595 | |
| 1596 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 1597 | |
| 1598 | std::vector<T> output; |
| 1599 | output.resize(outputTensorInfo.GetNumElements()); |
| 1600 | |
| 1601 | Concatenate<T>(workloadFactory, |
| 1602 | memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1603 | tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1604 | {inputTensorInfo, inputTensorInfo, inputTensorInfo}, |
| 1605 | {input0.data(), input1.data(), input2.data()}, |
| 1606 | outputTensorInfo, |
| 1607 | output.data(), |
| 1608 | dimension, |
| 1609 | useSubtensor); |
| 1610 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1611 | result.m_ActualData = output; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1612 | return result; |
| 1613 | } |
| 1614 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1615 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1616 | LayerTestResult<T, 4> Concat4dDim0TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1617 | IWorkloadFactory& workloadFactory, |
| 1618 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1619 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1620 | float qScale, |
| 1621 | int32_t qOffset) |
| 1622 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1623 | TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1624 | |
| 1625 | LayerTestResult<T, 4> result = Concat4dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1626 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 0, true, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1627 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1628 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1629 | { |
| 1630 | 1.0f, 2.0f, |
| 1631 | 3.0f, 4.0f, |
| 1632 | 5.0f, 6.0f, |
| 1633 | 7.0f, 8.0f, |
| 1634 | 9.0f, 10.0f, |
| 1635 | 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1636 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1637 | 11.0f, 12.0f, |
| 1638 | 13.0f, 14.0f, |
| 1639 | 15.0f, 16.0f, |
| 1640 | 17.0f, 18.0f, |
| 1641 | 19.0f, 20.0f, |
| 1642 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1643 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1644 | 21.0f, 22.0f, |
| 1645 | 23.0f, 24.0f, |
| 1646 | 25.0f, 26.0f, |
| 1647 | 27.0f, 28.0f, |
| 1648 | 29.0f, 30.0f, |
| 1649 | 31.0f, 32.0f |
| 1650 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1651 | qScale, qOffset); |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1652 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1653 | return result; |
| 1654 | } |
| 1655 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1656 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1657 | LayerTestResult<T, 4> Concat4dDim1TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1658 | IWorkloadFactory& workloadFactory, |
| 1659 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1660 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1661 | float qScale, |
| 1662 | int32_t qOffset) |
| 1663 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1664 | TensorInfo outputTensorInfo({ 1, 9, 2, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1665 | |
| 1666 | LayerTestResult<T, 4> result = Concat4dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1667 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 1, true, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1668 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1669 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1670 | { |
| 1671 | 1.0f, 2.0f, |
| 1672 | 3.0f, 4.0f, |
| 1673 | 5.0f, 6.0f, |
| 1674 | 7.0f, 8.0f, |
| 1675 | 9.0f, 10.0f, |
| 1676 | 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1677 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1678 | 11.0f, 12.0f, |
| 1679 | 13.0f, 14.0f, |
| 1680 | 15.0f, 16.0f, |
| 1681 | 17.0f, 18.0f, |
| 1682 | 19.0f, 20.0f, |
| 1683 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1684 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1685 | 21.0f, 22.0f, |
| 1686 | 23.0f, 24.0f, |
| 1687 | 25.0f, 26.0f, |
| 1688 | 27.0f, 28.0f, |
| 1689 | 29.0f, 30.0f, |
| 1690 | 31.0f, 32.0f |
| 1691 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1692 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1693 | |
| 1694 | return result; |
| 1695 | } |
| 1696 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1697 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1698 | LayerTestResult<T, 4> Concat4dDim2TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1699 | IWorkloadFactory& workloadFactory, |
| 1700 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1701 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1702 | float qScale, |
| 1703 | int32_t qOffset) |
| 1704 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1705 | TensorInfo outputTensorInfo({ 1, 3, 6, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1706 | |
| 1707 | LayerTestResult<T, 4> result = Concat4dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1708 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 2, true, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1709 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1710 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1711 | { |
| 1712 | 1.0f, 2.0f, |
| 1713 | 3.0f, 4.0f, |
| 1714 | 11.0f, 12.0f, |
| 1715 | 13.0f, 14.0f, |
| 1716 | 21.0f, 22.0f, |
| 1717 | 23.0f, 24.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1718 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1719 | 5.0f, 6.0f, |
| 1720 | 7.0f, 8.0f, |
| 1721 | 15.0f, 16.0f, |
| 1722 | 17.0f, 18.0f, |
| 1723 | 25.0f, 26.0f, |
| 1724 | 27.0f, 28.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1725 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1726 | 9.0f, 10.0f, |
| 1727 | 11.0f, 12.0f, |
| 1728 | 19.0f, 20.0f, |
| 1729 | 21.0f, 22.0f, |
| 1730 | 29.0f, 30.0f, |
| 1731 | 31.0f, 32.0f |
| 1732 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1733 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1734 | |
| 1735 | return result; |
| 1736 | } |
| 1737 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1738 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1739 | LayerTestResult<T, 4> Concat4dDim3TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1740 | IWorkloadFactory& workloadFactory, |
| 1741 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1742 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1743 | float qScale, |
| 1744 | int32_t qOffset, |
| 1745 | bool useSubtensor) |
| 1746 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1747 | TensorInfo outputTensorInfo({ 1, 3, 2, 6 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1748 | |
| 1749 | LayerTestResult<T, 4> result = Concat4dTestImpl<ArmnnType>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1750 | workloadFactory, memoryManager, tensorHandleFactory, outputTensorInfo, 3, useSubtensor, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1751 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1752 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1753 | { |
| 1754 | 1.0f, 2.0f, |
| 1755 | 11.0f, 12.0f, |
| 1756 | 21.0f, 22.0f, |
| 1757 | 3.0f, 4.0f, |
| 1758 | 13.0f, 14.0f, |
| 1759 | 23.0f, 24.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1760 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1761 | 5.0f, 6.0f, |
| 1762 | 15.0f, 16.0f, |
| 1763 | 25.0f, 26.0f, |
| 1764 | 7.0f, 8.0f, |
| 1765 | 17.0f, 18.0f, |
| 1766 | 27.0f, 28.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1767 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1768 | 9.0f, 10.0f, |
| 1769 | 19.0f, 20.0f, |
| 1770 | 29.0f, 30.0f, |
| 1771 | 11.0f, 12.0f, |
| 1772 | 21.0f, 22.0f, |
| 1773 | 31.0f, 32.0f |
| 1774 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1775 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1776 | |
| 1777 | return result; |
| 1778 | } |
| 1779 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1780 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1781 | LayerTestResult<T, 4> Concat4dDiffShapeDim0TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1782 | IWorkloadFactory& workloadFactory, |
| 1783 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1784 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1785 | float qScale, |
| 1786 | int32_t qOffset) |
| 1787 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1788 | constexpr unsigned int dimension = 0u; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1789 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1790 | TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1791 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1792 | { |
| 1793 | 1.0f, 2.0f, |
| 1794 | 3.0f, 4.0f, |
| 1795 | 5.0f, 6.0f, |
| 1796 | 7.0f, 8.0f, |
| 1797 | 9.0f, 10.0f, |
| 1798 | 11.0f, 12.0f |
| 1799 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1800 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1801 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1802 | TensorInfo inputTensorInfo1({ 2, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1803 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1804 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1805 | { |
| 1806 | 11.0f, 12.0f, |
| 1807 | 13.0f, 14.0f, |
| 1808 | 15.0f, 16.0f, |
| 1809 | 17.0f, 18.0f, |
| 1810 | 19.0f, 20.0f, |
| 1811 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1812 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1813 | 21.0f, 22.0f, |
| 1814 | 23.0f, 24.0f, |
| 1815 | 25.0f, 26.0f, |
| 1816 | 27.0f, 28.0f, |
| 1817 | 29.0f, 30.0f, |
| 1818 | 31.0f, 32.0f |
| 1819 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1820 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1821 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1822 | TensorInfo outputTensorInfo({ 3, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1823 | |
| 1824 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 1825 | |
| 1826 | std::vector<T> output; |
| 1827 | output.resize(outputTensorInfo.GetNumElements()); |
| 1828 | Concatenate<T>(workloadFactory, |
| 1829 | memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1830 | tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1831 | {inputTensorInfo0, inputTensorInfo1}, |
| 1832 | {input0.data(), input1.data()}, |
| 1833 | outputTensorInfo, |
| 1834 | output.data(), |
| 1835 | dimension, |
| 1836 | true); |
| 1837 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1838 | result.m_ActualData = output; |
| 1839 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1840 | { |
| 1841 | 1.0f, 2.0f, |
| 1842 | 3.0f, 4.0f, |
| 1843 | 5.0f, 6.0f, |
| 1844 | 7.0f, 8.0f, |
| 1845 | 9.0f, 10.0f, |
| 1846 | 11.0f, 12.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1847 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1848 | 11.0f, 12.0f, |
| 1849 | 13.0f, 14.0f, |
| 1850 | 15.0f, 16.0f, |
| 1851 | 17.0f, 18.0f, |
| 1852 | 19.0f, 20.0f, |
| 1853 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1854 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1855 | 21.0f, 22.0f, |
| 1856 | 23.0f, 24.0f, |
| 1857 | 25.0f, 26.0f, |
| 1858 | 27.0f, 28.0f, |
| 1859 | 29.0f, 30.0f, |
| 1860 | 31.0f, 32.0f |
| 1861 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1862 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1863 | |
| 1864 | return result; |
| 1865 | } |
| 1866 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1867 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1868 | LayerTestResult<T, 4> Concat4dDiffShapeDim1TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1869 | IWorkloadFactory& workloadFactory, |
| 1870 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1871 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1872 | float qScale, |
| 1873 | int32_t qOffset) |
| 1874 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1875 | constexpr unsigned int dimension = 1u; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1876 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1877 | TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1878 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1879 | { |
| 1880 | 1.0f, 2.0f, |
| 1881 | 3.0f, 4.0f, |
| 1882 | 5.0f, 6.0f, |
| 1883 | 7.0f, 8.0f, |
| 1884 | 9.0f, 10.0f, |
| 1885 | 11.0f, 12.0f |
| 1886 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1887 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1888 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1889 | TensorInfo inputTensorInfo1({ 1, 2, 2, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1890 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1891 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1892 | { |
| 1893 | 11.0f, 12.0f, |
| 1894 | 13.0f, 14.0f, |
| 1895 | 15.0f, 16.0f, |
| 1896 | 17.0f, 18.0f, |
| 1897 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1898 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1899 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1900 | TensorInfo outputTensorInfo({ 1, 5, 2, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1901 | |
| 1902 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 1903 | |
| 1904 | std::vector<T> output; |
| 1905 | output.resize(outputTensorInfo.GetNumElements()); |
| 1906 | Concatenate<T>(workloadFactory, |
| 1907 | memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1908 | tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1909 | {inputTensorInfo0, inputTensorInfo1}, |
| 1910 | {input0.data(), input1.data()}, |
| 1911 | outputTensorInfo, |
| 1912 | output.data(), |
| 1913 | dimension, |
| 1914 | true); |
| 1915 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1916 | result.m_ActualData = output; |
| 1917 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1918 | { |
| 1919 | 1.0f, 2.0f, |
| 1920 | 3.0f, 4.0f, |
| 1921 | 5.0f, 6.0f, |
| 1922 | 7.0f, 8.0f, |
| 1923 | 9.0f, 10.0f, |
| 1924 | 11.0f, 12.0f, |
| 1925 | 11.0f, 12.0f, |
| 1926 | 13.0f, 14.0f, |
| 1927 | 15.0f, 16.0f, |
| 1928 | 17.0f, 18.0f |
| 1929 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1930 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1931 | |
| 1932 | return result; |
| 1933 | } |
| 1934 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1935 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1936 | LayerTestResult<T, 4> Concat4dDiffShapeDim2TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1937 | IWorkloadFactory& workloadFactory, |
| 1938 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1939 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1940 | float qScale, |
| 1941 | int32_t qOffset) |
| 1942 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1943 | constexpr unsigned int dimension = 2u; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1944 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1945 | TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1946 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1947 | { |
| 1948 | 1.0f, 2.0f, |
| 1949 | 3.0f, 4.0f, |
| 1950 | 5.0f, 6.0f, |
| 1951 | 7.0f, 8.0f, |
| 1952 | 9.0f, 10.0f, |
| 1953 | 11.0f, 12.0f |
| 1954 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1955 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1956 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1957 | TensorInfo inputTensorInfo1({ 1, 3, 3, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1958 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1959 | { |
| 1960 | 11.0f, 12.0f, |
| 1961 | 13.0f, 14.0f, |
| 1962 | 15.0f, 16.0f, |
| 1963 | 17.0f, 18.0f, |
| 1964 | 19.0f, 20.0f, |
| 1965 | 21.0f, 22.0f, |
| 1966 | 23.0f, 24.0f, |
| 1967 | 25.0f, 26.0f, |
| 1968 | 27.0f, 28.0f |
| 1969 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1970 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1971 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1972 | TensorInfo outputTensorInfo({ 1, 3, 5, 2 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1973 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 1974 | |
| 1975 | std::vector<T> output; |
| 1976 | output.resize(outputTensorInfo.GetNumElements()); |
| 1977 | Concatenate<T>(workloadFactory, |
| 1978 | memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 1979 | tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1980 | {inputTensorInfo0, inputTensorInfo1}, |
| 1981 | {input0.data(), input1.data()}, |
| 1982 | outputTensorInfo, |
| 1983 | output.data(), |
| 1984 | dimension, |
| 1985 | true); |
| 1986 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 1987 | result.m_ActualData = output; |
| 1988 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1989 | { |
| 1990 | 1.0f, 2.0f, |
| 1991 | 3.0f, 4.0f, |
| 1992 | 11.0f, 12.0f, |
| 1993 | 13.0f, 14.0f, |
| 1994 | 15.0f, 16.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 1995 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 1996 | 5.0f, 6.0f, |
| 1997 | 7.0f, 8.0f, |
| 1998 | 17.0f, 18.0f, |
| 1999 | 19.0f, 20.0f, |
| 2000 | 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2001 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2002 | 9.0f, 10.0f, |
| 2003 | 11.0f, 12.0f, |
| 2004 | 23.0f, 24.0f, |
| 2005 | 25.0f, 26.0f, |
| 2006 | 27.0f, 28.0f |
| 2007 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2008 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2009 | |
| 2010 | return result; |
| 2011 | } |
| 2012 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2013 | template<DataType ArmnnType, typename T = ResolveType<ArmnnType>> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2014 | LayerTestResult<T, 4> Concat4dDiffShapeDim3TestImpl( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2015 | IWorkloadFactory& workloadFactory, |
| 2016 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2017 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2018 | float qScale, |
| 2019 | int32_t qOffset, |
| 2020 | bool useSubtensor) |
| 2021 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2022 | constexpr unsigned int dimension = 3u; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2023 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2024 | TensorInfo inputTensorInfo0({ 1, 3, 2, 2 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2025 | auto input0 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2026 | { |
| 2027 | 1.0f, 2.0f, |
| 2028 | 3.0f, 4.0f, |
| 2029 | 5.0f, 6.0f, |
| 2030 | 7.0f, 8.0f, |
| 2031 | 9.0f, 10.0f, |
| 2032 | 11.0f, 12.0f |
| 2033 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2034 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2035 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2036 | TensorInfo inputTensorInfo1({ 1, 3, 2, 3 }, ArmnnType, qScale, qOffset); |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2037 | auto input1 = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2038 | { |
| 2039 | 11.0f, 12.0f, 13.0f, |
| 2040 | 14.0f, 15.0f, 16.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2041 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2042 | 17.0f, 18.0f, 19.0f, |
| 2043 | 20.0f, 21.0f, 22.0f, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2044 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2045 | 23.0f, 24.0f, 25.0f, |
| 2046 | 26.0f, 27.0f, 28.0f |
| 2047 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2048 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2049 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2050 | TensorInfo outputTensorInfo({ 1, 3, 2, 5 }, ArmnnType, qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2051 | |
| 2052 | LayerTestResult<T, 4> result(outputTensorInfo); |
| 2053 | |
| 2054 | std::vector<T> output; |
| 2055 | output.resize(outputTensorInfo.GetNumElements()); |
| 2056 | Concatenate<T>(workloadFactory, |
| 2057 | memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2058 | tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2059 | {inputTensorInfo0, inputTensorInfo1}, |
| 2060 | {input0.data(), input1.data()}, |
| 2061 | outputTensorInfo, |
| 2062 | output.data(), |
| 2063 | dimension, |
| 2064 | useSubtensor); |
| 2065 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2066 | result.m_ActualData = output; |
| 2067 | result.m_ExpectedData = QuantizedVector<T>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2068 | { |
| 2069 | 1.0f, 2.0f, 11.0f, 12.0f, 13.0f, |
| 2070 | 3.0f, 4.0f, 14.0f, 15.0f, 16.0f, |
| 2071 | 5.0f, 6.0f, 17.0f, 18.0f, 19.0f, |
| 2072 | 7.0f, 8.0f, 20.0f, 21.0f, 22.0f, |
| 2073 | 9.0f, 10.0f, 23.0f, 24.0f, 25.0f, |
| 2074 | 11.0f, 12.0f, 26.0f, 27.0f, 28.0f |
| 2075 | }, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2076 | qScale, qOffset); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2077 | |
| 2078 | return result; |
| 2079 | } |
| 2080 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2081 | template<DataType ArmnnType, typename T> |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2082 | LayerTestResult<T, 3> ConcatDifferentInputOutputQParamTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2083 | IWorkloadFactory& workloadFactory, |
| 2084 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2085 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2086 | bool useSubtensor) |
| 2087 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 2088 | IgnoreUnused(memoryManager); |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame] | 2089 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2090 | // Defines the tensor descriptors. |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2091 | TensorInfo outputTensorInfo({ 3, 6, 3 }, ArmnnType); |
| 2092 | TensorInfo inputTensorInfo1({ 3, 6, 2 }, ArmnnType); |
| 2093 | TensorInfo inputTensorInfo2({ 3, 6, 1 }, ArmnnType); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2094 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2095 | std::vector<TensorShape> inputTensorShapes({inputTensorInfo1.GetShape(), inputTensorInfo2.GetShape()}); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2096 | |
| 2097 | // Quantized input1 tensor. |
| 2098 | const float inputScale1 = 0.5f; |
| 2099 | const int32_t inputOffset1 = 5; |
| 2100 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2101 | std::vector<T> input1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2102 | { |
| 2103 | 1, 2, 3, |
| 2104 | 4, 5, 6, |
| 2105 | 7, 8, 9, |
| 2106 | 10, 11, 12, |
| 2107 | 13, 14, 15, |
| 2108 | 16, 17, 18, |
| 2109 | |
| 2110 | 19, 20, 21, |
| 2111 | 22, 23, 24, |
| 2112 | 25, 26, 27, |
| 2113 | 28, 29, 30, |
| 2114 | 31, 32, 33, |
| 2115 | 34, 35, 36 |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2116 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2117 | |
| 2118 | // Quatized input2 tensor. |
| 2119 | const float inputScale2 = 0.2f; |
| 2120 | const int32_t inputOffset2 = 10; |
| 2121 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2122 | std::vector<T> input2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2123 | { |
| 2124 | 37, 38, 39, |
| 2125 | 40, 41, 42, |
| 2126 | 43, 44, 45, |
| 2127 | 46, 47, 48, |
| 2128 | 49, 50, 51, |
| 2129 | 52, 53, 54 |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2130 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2131 | |
| 2132 | // Quantized output tensor. |
| 2133 | const float outputScale = 0.1f; |
| 2134 | const int32_t outputOffset = 20; |
| 2135 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2136 | std::vector<T> actualOutput(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2137 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2138 | std::vector<T> expectedOutput = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2139 | { |
| 2140 | 0, 5, 74, |
| 2141 | 10, 15, 76, |
| 2142 | 20, 25, 78, |
| 2143 | 30, 35, 80, |
| 2144 | 40, 45, 82, |
| 2145 | 50, 55, 84, |
| 2146 | |
| 2147 | 60, 65, 86, |
| 2148 | 70, 75, 88, |
| 2149 | 80, 85, 90, |
| 2150 | 90, 95, 92, |
| 2151 | 100, 105, 94, |
| 2152 | 110, 115, 96, |
| 2153 | |
| 2154 | 120, 125, 98, |
| 2155 | 130, 135, 100, |
| 2156 | 140, 145, 102, |
| 2157 | 150, 155, 104, |
| 2158 | 160, 165, 106, |
| 2159 | 170, 175, 108 |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2160 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2161 | |
| 2162 | outputTensorInfo.SetQuantizationScale(outputScale); |
| 2163 | outputTensorInfo.SetQuantizationOffset(outputOffset); |
| 2164 | inputTensorInfo1.SetQuantizationScale(inputScale1); |
| 2165 | inputTensorInfo1.SetQuantizationOffset(inputOffset1); |
| 2166 | inputTensorInfo2.SetQuantizationScale(inputScale2); |
| 2167 | inputTensorInfo2.SetQuantizationOffset(inputOffset2); |
| 2168 | |
| 2169 | 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] | 2170 | ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2171 | |
| 2172 | 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] | 2173 | ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2174 | |
| 2175 | std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
| 2176 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2177 | bool subTensorsSupported = useSubtensor && workloadFactory.SupportsSubTensors(); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2178 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2179 | std::unique_ptr<ITensorHandle> inputHandle1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2180 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2181 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 2182 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2183 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2184 | std::unique_ptr<ITensorHandle> inputHandle2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2185 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2186 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 2187 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 2188 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2189 | ConcatQueueDescriptor data; |
| 2190 | OriginsDescriptor desc = CreateDescriptorForConcatenation( |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2191 | inputTensorShapes.begin(),inputTensorShapes.end(), 2); |
| 2192 | data.m_Parameters = desc; |
| 2193 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2194 | WorkloadInfo info; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2195 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2196 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2197 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2198 | |
| 2199 | data.m_ViewOrigins.push_back(window1); |
| 2200 | data.m_ViewOrigins.push_back(window2); |
| 2201 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 2202 | std::unique_ptr<IWorkload> workload = workloadFactory.CreateWorkload(LayerType::Concat, data, info); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2203 | |
| 2204 | inputHandle1->Allocate(); |
| 2205 | inputHandle2->Allocate(); |
| 2206 | outputHandle->Allocate(); |
| 2207 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2208 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 2209 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2210 | |
| 2211 | workload->PostAllocationConfigure(); |
| 2212 | workload->Execute(); |
| 2213 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2214 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2215 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2216 | return LayerTestResult<T, 3>(actualOutput, |
| 2217 | expectedOutput, |
| 2218 | outputHandle->GetShape(), |
| 2219 | outputTensorInfo.GetShape()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2220 | } |
| 2221 | |
| 2222 | // |
| 2223 | // Explicit template specializations |
| 2224 | // |
| 2225 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2226 | template LayerTestResult<ResolveType<DataType::QAsymmU8>, 3> |
| 2227 | ConcatDifferentInputOutputQParamTest<DataType::QAsymmU8>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2228 | IWorkloadFactory& workloadFactory, |
| 2229 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2230 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2231 | bool useSubtensor); |
| 2232 | |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2233 | template LayerTestResult<ResolveType<DataType::QSymmS16>, 3> |
| 2234 | ConcatDifferentInputOutputQParamTest<DataType::QSymmS16>( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2235 | IWorkloadFactory& workloadFactory, |
| 2236 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2237 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2238 | bool useSubtensor); |
| 2239 | |
| 2240 | // |
| 2241 | // Implementation functions |
| 2242 | // |
| 2243 | |
| 2244 | LayerTestResult<float,3> ConcatTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2245 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2246 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2247 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2248 | { |
Teresa Charlin | 6abc7ee | 2022-02-22 17:32:27 +0000 | [diff] [blame] | 2249 | return ConcatTestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory); |
| 2250 | } |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame] | 2251 | |
Teresa Charlin | 6abc7ee | 2022-02-22 17:32:27 +0000 | [diff] [blame] | 2252 | LayerTestResult<int32_t, 3> ConcatInt32Test( |
| 2253 | IWorkloadFactory& workloadFactory, |
| 2254 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2255 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
| 2256 | { |
| 2257 | return ConcatTestImpl<DataType::Signed32>(workloadFactory, memoryManager, tensorHandleFactory); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2258 | } |
| 2259 | |
| 2260 | LayerTestResult<float, 1> Concat1dTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2261 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2262 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2263 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2264 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2265 | return Concat1dTestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2266 | } |
| 2267 | |
| 2268 | LayerTestResult<float, 2> Concat2dDim0Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2269 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2270 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2271 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2272 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2273 | return Concat2dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2274 | } |
| 2275 | |
| 2276 | LayerTestResult<float, 2> Concat2dDim1Test( |
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 Concat2dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2282 | } |
| 2283 | |
| 2284 | LayerTestResult<float, 2> Concat2dDim0DiffInputDimsTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2285 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2286 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2287 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2288 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2289 | return Concat2dDim0DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, memoryManager, |
| 2290 | tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2291 | } |
| 2292 | |
| 2293 | LayerTestResult<float, 2> Concat2dDim1DiffInputDimsTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2294 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2295 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2296 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2297 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2298 | return Concat2dDim1DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, |
| 2299 | memoryManager, |
| 2300 | tensorHandleFactory, |
| 2301 | 0.0f, |
| 2302 | 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2303 | } |
| 2304 | |
| 2305 | LayerTestResult<float, 3> Concat3dDim0Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2306 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2307 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2308 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2309 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2310 | return Concat3dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2311 | } |
| 2312 | |
| 2313 | LayerTestResult<float, 3> Concat3dDim1Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2314 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2315 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2316 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2317 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2318 | return Concat3dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2319 | } |
| 2320 | |
| 2321 | LayerTestResult<float, 3> Concat3dDim2Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2322 | IWorkloadFactory& workloadFactory, |
| 2323 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2324 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2325 | bool useSubtensor) |
| 2326 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2327 | return Concat3dDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, |
| 2328 | useSubtensor, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2329 | } |
| 2330 | |
| 2331 | LayerTestResult<float, 3> Concat3dDim0DiffInputDimsTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2332 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2333 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2334 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2335 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2336 | return Concat3dDim0DiffInputDimsTestImpl<DataType::Float32>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2337 | workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2338 | } |
| 2339 | |
| 2340 | LayerTestResult<float, 3> Concat3dDim1DiffInputDimsTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2341 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2342 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2343 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2344 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2345 | return Concat3dDim1DiffInputDimsTestImpl<DataType::Float32>(workloadFactory, memoryManager, |
| 2346 | tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2347 | } |
| 2348 | |
| 2349 | LayerTestResult<float, 3> Concat3dDim2DiffInputDimsTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2350 | IWorkloadFactory& workloadFactory, |
| 2351 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2352 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2353 | bool useSubtensor) |
| 2354 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2355 | return Concat3dDim2DiffInputDimsTestImpl<DataType::Float32>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2356 | workloadFactory, memoryManager, tensorHandleFactory, useSubtensor, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2357 | } |
| 2358 | |
| 2359 | LayerTestResult<float, 4> Concat4dDim0Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2360 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2361 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2362 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2363 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2364 | return Concat4dDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2365 | } |
| 2366 | |
| 2367 | LayerTestResult<float, 4> Concat4dDim1Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2368 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2369 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2370 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2371 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2372 | return Concat4dDim1TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2373 | } |
| 2374 | |
| 2375 | LayerTestResult<float, 4> Concat4dDim2Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2376 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2377 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2378 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2379 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2380 | return Concat4dDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2381 | } |
| 2382 | |
| 2383 | LayerTestResult<float, 4> Concat4dDim3Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2384 | IWorkloadFactory& workloadFactory, |
| 2385 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2386 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2387 | bool useSubtensor) |
| 2388 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2389 | return Concat4dDim3TestImpl<DataType::Float32>(workloadFactory, memoryManager, |
| 2390 | tensorHandleFactory, 0.0f, 0, useSubtensor); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2391 | } |
| 2392 | |
| 2393 | LayerTestResult<float, 4> Concat4dDiffShapeDim0Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2394 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2395 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2396 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2397 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2398 | return Concat4dDiffShapeDim0TestImpl<DataType::Float32>(workloadFactory, memoryManager, |
| 2399 | tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2400 | } |
| 2401 | |
| 2402 | LayerTestResult<float, 4> Concat4dDiffShapeDim1Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2403 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2404 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2405 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2406 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2407 | return Concat4dDiffShapeDim1TestImpl<DataType::Float32>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2408 | workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2409 | } |
| 2410 | |
| 2411 | LayerTestResult<float, 4> Concat4dDiffShapeDim2Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2412 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2413 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2414 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2415 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2416 | return Concat4dDiffShapeDim2TestImpl<DataType::Float32>(workloadFactory, memoryManager, |
| 2417 | tensorHandleFactory, 0.0f, 0); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2418 | } |
| 2419 | |
| 2420 | LayerTestResult<float, 4> Concat4dDiffShapeDim3Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2421 | IWorkloadFactory& workloadFactory, |
| 2422 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2423 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2424 | bool useSubtensor) |
| 2425 | { |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2426 | return Concat4dDiffShapeDim3TestImpl<DataType::Float32>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2427 | workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0, useSubtensor); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2428 | } |
| 2429 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2430 | LayerTestResult<Half, 3> ConcatFloat16Test( |
| 2431 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2432 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2433 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Matthew Jackson | 9bff144 | 2019-09-12 09:08:23 +0100 | [diff] [blame] | 2434 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2435 | return Concat3dDim1TestImpl<DataType::Float16>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Matthew Jackson | 9bff144 | 2019-09-12 09:08:23 +0100 | [diff] [blame] | 2436 | } |
| 2437 | |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 2438 | LayerTestResult<BFloat16, 3> ConcatBFloat16Test( |
| 2439 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2440 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2441 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 2442 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2443 | return Concat3dDim1TestImpl<DataType::BFloat16>(workloadFactory, memoryManager, tensorHandleFactory, 0.0f, 0); |
Narumol Prangnawarat | 44179c3 | 2020-03-11 14:51:27 +0000 | [diff] [blame] | 2444 | } |
| 2445 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2446 | LayerTestResult<uint8_t, 3> ConcatUint8DifferentQParamsTest( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2447 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2448 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2449 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2450 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 2451 | IgnoreUnused(memoryManager); |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame] | 2452 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2453 | unsigned int outputWidth = 3; |
| 2454 | unsigned int outputHeight = 6; |
| 2455 | unsigned int outputChannels = 3; |
| 2456 | |
| 2457 | unsigned int inputWidth1 = 3; |
| 2458 | unsigned int inputHeight1 = 6; |
| 2459 | unsigned int inputChannels1 = 2; |
| 2460 | |
| 2461 | unsigned int inputWidth2 = 3; |
| 2462 | unsigned int inputHeight2 = 6; |
| 2463 | unsigned int inputChannels2 = 1; |
| 2464 | |
| 2465 | // Defines the tensor descriptors. |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2466 | TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QAsymmU8); |
| 2467 | TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QAsymmU8); |
| 2468 | TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QAsymmU8); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2469 | |
| 2470 | // Quantized input1 tensor. Range [-3, 1] |
| 2471 | const float inputScale1 = 0.015686f; |
| 2472 | const int32_t inputOffset1 = 192; |
| 2473 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2474 | std::vector<uint8_t> input1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2475 | { |
| 2476 | 1, 2, 3, |
| 2477 | 4, 5, 6, |
| 2478 | 7, 8, 9, |
| 2479 | 10, 11, 12, |
| 2480 | 13, 14, 15, |
| 2481 | 16, 17, 18, |
| 2482 | |
| 2483 | 19, 20, 21, |
| 2484 | 22, 23, 24, |
| 2485 | 25, 26, 27, |
| 2486 | 28, 29, 30, |
| 2487 | 31, 32, 33, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2488 | 34, 35, 36 |
| 2489 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2490 | |
| 2491 | // Quatized input2 tensor. Range [-1, 4] |
| 2492 | const float inputScale2 = 0.019608f; |
| 2493 | const int32_t inputOffset2 = 50; |
| 2494 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2495 | std::vector<uint8_t> input2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2496 | { |
| 2497 | 37, 38, 39, |
| 2498 | 40, 41, 42, |
| 2499 | 43, 44, 45, |
| 2500 | 46, 47, 48, |
| 2501 | 49, 50, 51, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2502 | 52, 53, 54 |
| 2503 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2504 | |
| 2505 | // Output has the same quantization parameters than input1, |
| 2506 | // so that only the requantization of input2 is required |
| 2507 | const float outputScale = 0.015686f; |
| 2508 | const int32_t outputOffset = 192; |
| 2509 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2510 | std::vector<uint8_t> actualOutput(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2511 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2512 | std::vector<uint8_t> expectedOutput = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2513 | { |
| 2514 | 1, 2, 3, |
| 2515 | 4, 5, 6, |
| 2516 | 7, 8, 9, |
| 2517 | 10, 11, 12, |
| 2518 | 13, 14, 15, |
| 2519 | 16, 17, 18, |
| 2520 | |
| 2521 | 19, 20, 21, |
| 2522 | 22, 23, 24, |
| 2523 | 25, 26, 27, |
| 2524 | 28, 29, 30, |
| 2525 | 31, 32, 33, |
| 2526 | 34, 35, 36, |
| 2527 | |
| 2528 | 176, 177, 178, |
| 2529 | 179, 181, 182, |
| 2530 | 183, 184, 186, |
| 2531 | 187, 188, 189, |
| 2532 | 191, 192, 193, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2533 | 195, 196, 197 |
| 2534 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2535 | |
| 2536 | outputTensorInfo.SetQuantizationScale(outputScale); |
| 2537 | outputTensorInfo.SetQuantizationOffset(outputOffset); |
| 2538 | inputTensorInfo1.SetQuantizationScale(inputScale1); |
| 2539 | inputTensorInfo1.SetQuantizationOffset(inputOffset1); |
| 2540 | inputTensorInfo2.SetQuantizationScale(inputScale2); |
| 2541 | inputTensorInfo2.SetQuantizationOffset(inputOffset2); |
| 2542 | |
| 2543 | 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] | 2544 | ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2545 | |
| 2546 | 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] | 2547 | ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2548 | |
| 2549 | std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2550 | |
| 2551 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 2552 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2553 | std::unique_ptr<ITensorHandle> inputHandle1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2554 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2555 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 2556 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2557 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2558 | std::unique_ptr<ITensorHandle> inputHandle2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2559 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2560 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 2561 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 2562 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2563 | ConcatQueueDescriptor data; |
| 2564 | WorkloadInfo info; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2565 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2566 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2567 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2568 | |
| 2569 | data.m_ViewOrigins.push_back(window1); |
| 2570 | data.m_ViewOrigins.push_back(window2); |
| 2571 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 2572 | std::unique_ptr<IWorkload> workload = workloadFactory.CreateWorkload(LayerType::Concat, data, info); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2573 | |
| 2574 | inputHandle1->Allocate(); |
| 2575 | inputHandle2->Allocate(); |
| 2576 | outputHandle->Allocate(); |
| 2577 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2578 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 2579 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2580 | |
| 2581 | workload->PostAllocationConfigure(); |
| 2582 | workload->Execute(); |
| 2583 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2584 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2585 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2586 | return LayerTestResult<uint8_t, 3>(actualOutput, |
| 2587 | expectedOutput, |
| 2588 | outputHandle->GetShape(), |
| 2589 | outputTensorInfo.GetShape()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2590 | } |
| 2591 | |
| 2592 | LayerTestResult<uint8_t, 3> ConcatUint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2593 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2594 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2595 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2596 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 2597 | IgnoreUnused(memoryManager); |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame] | 2598 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2599 | unsigned int outputWidth = 3; |
| 2600 | unsigned int outputHeight = 6; |
| 2601 | unsigned int outputChannels = 3; |
| 2602 | |
| 2603 | unsigned int inputWidth1 = 3; |
| 2604 | unsigned int inputHeight1 = 6; |
| 2605 | unsigned int inputChannels1 = 2; |
| 2606 | |
| 2607 | unsigned int inputWidth2 = 3; |
| 2608 | unsigned int inputHeight2 = 6; |
| 2609 | unsigned int inputChannels2 = 1; |
| 2610 | |
| 2611 | // Defines the tensor descriptors. |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2612 | TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QAsymmU8); |
| 2613 | TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QAsymmU8); |
| 2614 | TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QAsymmU8); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2615 | |
| 2616 | // Arbitrary scale and offsets. They don't really matter as the Concat operator doesn't dequantize/quantize them. |
| 2617 | const float scale = 0.13497836f; |
| 2618 | const int32_t offset = -7; |
| 2619 | |
| 2620 | outputTensorInfo.SetQuantizationScale(scale); |
| 2621 | outputTensorInfo.SetQuantizationOffset(offset); |
| 2622 | inputTensorInfo1.SetQuantizationScale(scale); |
| 2623 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 2624 | inputTensorInfo2.SetQuantizationScale(scale); |
| 2625 | inputTensorInfo2.SetQuantizationOffset(offset); |
| 2626 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2627 | std::vector<uint8_t> actualOutput(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2628 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2629 | std::vector<uint8_t> expectedOutput = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2630 | { |
| 2631 | 1, 2, 3, |
| 2632 | 4, 5, 6, |
| 2633 | 7, 8, 9, |
| 2634 | 10, 11, 12, |
| 2635 | 13, 14, 15, |
| 2636 | 16, 17, 18, |
| 2637 | |
| 2638 | 19, 20, 21, |
| 2639 | 22, 23, 24, |
| 2640 | 25, 26, 27, |
| 2641 | 28, 29, 30, |
| 2642 | 31, 32, 33, |
| 2643 | 34, 35, 36, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2644 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2645 | 37, 38, 39, |
| 2646 | 40, 41, 42, |
| 2647 | 43, 44, 45, |
| 2648 | 46, 47, 48, |
| 2649 | 49, 50, 51, |
| 2650 | 52, 53, 54 |
| 2651 | }; |
| 2652 | |
| 2653 | std::vector<uint8_t> input1 = |
| 2654 | { |
| 2655 | 1, 2, 3, |
| 2656 | 4, 5, 6, |
| 2657 | 7, 8, 9, |
| 2658 | 10, 11, 12, |
| 2659 | 13, 14, 15, |
| 2660 | 16, 17, 18, |
| 2661 | |
| 2662 | 19, 20, 21, |
| 2663 | 22, 23, 24, |
| 2664 | 25, 26, 27, |
| 2665 | 28, 29, 30, |
| 2666 | 31, 32, 33, |
| 2667 | 34, 35, 36 |
| 2668 | }; |
| 2669 | |
| 2670 | std::vector<uint8_t> input2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2671 | { |
| 2672 | 37, 38, 39, |
| 2673 | 40, 41, 42, |
| 2674 | 43, 44, 45, |
| 2675 | 46, 47, 48, |
| 2676 | 49, 50, 51, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2677 | 52, 53, 54 |
| 2678 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2679 | |
| 2680 | 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] | 2681 | ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2682 | |
| 2683 | 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] | 2684 | ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2685 | |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2686 | std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2687 | |
| 2688 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 2689 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2690 | std::unique_ptr<ITensorHandle> inputHandle1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2691 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2692 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 2693 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2694 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2695 | std::unique_ptr<ITensorHandle> inputHandle2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2696 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2697 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 2698 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 2699 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2700 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2701 | ConcatQueueDescriptor data; |
| 2702 | WorkloadInfo info; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2703 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2704 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2705 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2706 | |
| 2707 | data.m_ViewOrigins.push_back(window1); |
| 2708 | data.m_ViewOrigins.push_back(window2); |
| 2709 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 2710 | std::unique_ptr<IWorkload> workload = workloadFactory.CreateWorkload(LayerType::Concat, data, info); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2711 | |
| 2712 | inputHandle1->Allocate(); |
| 2713 | inputHandle2->Allocate(); |
| 2714 | outputHandle->Allocate(); |
| 2715 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2716 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 2717 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2718 | |
| 2719 | workload->PostAllocationConfigure(); |
| 2720 | workload->Execute(); |
| 2721 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2722 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2723 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2724 | return LayerTestResult<uint8_t, 3>(actualOutput, |
| 2725 | expectedOutput, |
| 2726 | outputHandle->GetShape(), |
| 2727 | outputTensorInfo.GetShape()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2728 | } |
| 2729 | |
| 2730 | LayerTestResult<uint16_t, 3> ConcatUint16Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2731 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2732 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2733 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2734 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 2735 | IgnoreUnused(memoryManager); |
Derek Lamberti | c374ff0 | 2019-12-10 21:57:35 +0000 | [diff] [blame] | 2736 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2737 | unsigned int outputWidth = 3; |
| 2738 | unsigned int outputHeight = 6; |
| 2739 | unsigned int outputChannels = 3; |
| 2740 | |
| 2741 | unsigned int inputWidth1 = 3; |
| 2742 | unsigned int inputHeight1 = 6; |
| 2743 | unsigned int inputChannels1 = 2; |
| 2744 | |
| 2745 | unsigned int inputWidth2 = 3; |
| 2746 | unsigned int inputHeight2 = 6; |
| 2747 | unsigned int inputChannels2 = 1; |
| 2748 | |
| 2749 | // Defines the tensor descriptors. |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2750 | TensorInfo outputTensorInfo({ outputChannels, outputHeight, outputWidth }, DataType::QSymmS16); |
| 2751 | TensorInfo inputTensorInfo1({ inputChannels1, inputHeight1, inputWidth1 }, DataType::QSymmS16); |
| 2752 | TensorInfo inputTensorInfo2({ inputChannels2, inputHeight2, inputWidth2 }, DataType::QSymmS16); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2753 | |
| 2754 | // Arbitrary scale and offsets. They don't really matter as the Concat operator doesn't dequantize/quantize them. |
| 2755 | const float scale = 0.13497836f; |
| 2756 | const int32_t offset = -7; |
| 2757 | |
| 2758 | outputTensorInfo.SetQuantizationScale(scale); |
| 2759 | outputTensorInfo.SetQuantizationOffset(offset); |
| 2760 | inputTensorInfo1.SetQuantizationScale(scale); |
| 2761 | inputTensorInfo1.SetQuantizationOffset(offset); |
| 2762 | inputTensorInfo2.SetQuantizationScale(scale); |
| 2763 | inputTensorInfo2.SetQuantizationOffset(offset); |
| 2764 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2765 | std::vector<uint16_t> actualOutput(outputTensorInfo.GetNumElements()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2766 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2767 | std::vector<uint16_t> expectedOutput = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2768 | { |
| 2769 | 1, 2, 3, |
| 2770 | 4, 5, 6, |
| 2771 | 7, 8, 9, |
| 2772 | 10, 11, 12, |
| 2773 | 13, 14, 15, |
| 2774 | 16, 17, 18, |
| 2775 | |
| 2776 | 19, 20, 21, |
| 2777 | 22, 23, 24, |
| 2778 | 25, 26, 27, |
| 2779 | 28, 29, 30, |
| 2780 | 31, 32, 33, |
| 2781 | 34, 35, 36, |
| 2782 | |
| 2783 | 37, 38, 39, |
| 2784 | 40, 41, 42, |
| 2785 | 43, 44, 45, |
| 2786 | 46, 47, 48, |
| 2787 | 49, 50, 51, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2788 | 52, 53, 54 |
| 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> input1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2792 | { |
| 2793 | 1, 2, 3, |
| 2794 | 4, 5, 6, |
| 2795 | 7, 8, 9, |
| 2796 | 10, 11, 12, |
| 2797 | 13, 14, 15, |
| 2798 | 16, 17, 18, |
| 2799 | |
| 2800 | 19, 20, 21, |
| 2801 | 22, 23, 24, |
| 2802 | 25, 26, 27, |
| 2803 | 28, 29, 30, |
| 2804 | 31, 32, 33, |
| 2805 | 34, 35, 36, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2806 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2807 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2808 | std::vector<uint16_t> input2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2809 | { |
| 2810 | 37, 38, 39, |
| 2811 | 40, 41, 42, |
| 2812 | 43, 44, 45, |
| 2813 | 46, 47, 48, |
| 2814 | 49, 50, 51, |
| 2815 | 52, 53, 54, |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2816 | }; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2817 | |
| 2818 | 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] | 2819 | ConcatQueueDescriptor::ViewOrigin window1(wOrigin1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2820 | |
| 2821 | 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] | 2822 | ConcatQueueDescriptor::ViewOrigin window2(wOrigin2); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2823 | |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2824 | |
| 2825 | std::unique_ptr<ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2826 | |
| 2827 | bool subTensorsSupported = workloadFactory.SupportsSubTensors(); |
| 2828 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2829 | std::unique_ptr<ITensorHandle> inputHandle1 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2830 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2831 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo1.GetShape(), wOrigin1.data()) : |
| 2832 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2833 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2834 | std::unique_ptr<ITensorHandle> inputHandle2 = |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2835 | subTensorsSupported ? |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2836 | tensorHandleFactory.CreateSubTensorHandle(*outputHandle, inputTensorInfo2.GetShape(), wOrigin2.data()) : |
| 2837 | tensorHandleFactory.CreateTensorHandle(inputTensorInfo2); |
| 2838 | |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2839 | |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2840 | ConcatQueueDescriptor data; |
| 2841 | WorkloadInfo info; |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2842 | AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get()); |
| 2843 | AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get()); |
| 2844 | AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get()); |
| 2845 | |
| 2846 | data.m_ViewOrigins.push_back(window1); |
| 2847 | data.m_ViewOrigins.push_back(window2); |
| 2848 | |
Teresa Charlin | 611c7fb | 2022-01-07 09:47:29 +0000 | [diff] [blame] | 2849 | std::unique_ptr<IWorkload> workload = workloadFactory.CreateWorkload(LayerType::Concat, data, info); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2850 | |
| 2851 | inputHandle1->Allocate(); |
| 2852 | inputHandle2->Allocate(); |
| 2853 | outputHandle->Allocate(); |
| 2854 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2855 | CopyDataToITensorHandle(inputHandle1.get(), input1.data()); |
| 2856 | CopyDataToITensorHandle(inputHandle2.get(), input2.data()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2857 | |
| 2858 | workload->PostAllocationConfigure(); |
| 2859 | workload->Execute(); |
| 2860 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2861 | CopyDataFromITensorHandle(actualOutput.data(), outputHandle.get()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2862 | |
Sadik Armagan | 483c811 | 2021-06-01 09:24:52 +0100 | [diff] [blame] | 2863 | return LayerTestResult<uint16_t, 3>(actualOutput, |
| 2864 | expectedOutput, |
| 2865 | outputHandle->GetShape(), |
| 2866 | outputTensorInfo.GetShape()); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2867 | } |
| 2868 | |
| 2869 | LayerTestResult<uint8_t, 1> Concat1dUint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2870 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2871 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2872 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2873 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2874 | return Concat1dTestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2875 | } |
| 2876 | |
| 2877 | LayerTestResult<uint8_t, 2> Concat2dDim0Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2878 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2879 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2880 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2881 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2882 | return Concat2dDim0TestImpl<DataType::QAsymmU8>(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> Concat2dDim1Uint8Test( |
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 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2890 | return Concat2dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2891 | } |
| 2892 | |
| 2893 | LayerTestResult<uint8_t, 2> Concat2dDim0DiffInputDimsUint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2894 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2895 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2896 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2897 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2898 | return Concat2dDim0DiffInputDimsTestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2899 | 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, 2> Concat2dDim1DiffInputDimsUint8Test( |
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 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2907 | return Concat2dDim1DiffInputDimsTestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2908 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2909 | } |
| 2910 | |
| 2911 | LayerTestResult<uint8_t, 3> Concat3dDim0Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2912 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2913 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2914 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2915 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2916 | return Concat3dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2917 | } |
| 2918 | |
| 2919 | LayerTestResult<uint8_t, 3> Concat3dDim1Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2920 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2921 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2922 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2923 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2924 | return Concat3dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2925 | } |
| 2926 | |
| 2927 | LayerTestResult<uint8_t, 3> Concat3dDim2Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2928 | IWorkloadFactory& workloadFactory, |
| 2929 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2930 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2931 | bool useSubtensor) |
| 2932 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2933 | return Concat3dDim2TestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2934 | workloadFactory, memoryManager, tensorHandleFactory, useSubtensor, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2935 | } |
| 2936 | |
| 2937 | LayerTestResult<uint8_t, 3> Concat3dDim0DiffInputDimsUint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2938 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2939 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2940 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2941 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2942 | return Concat3dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2943 | } |
| 2944 | |
| 2945 | LayerTestResult<uint8_t, 3> Concat3dDim1DiffInputDimsUint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2946 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2947 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2948 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2949 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2950 | return Concat3dDim1DiffInputDimsTestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2951 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2952 | } |
| 2953 | |
| 2954 | LayerTestResult<uint8_t, 3> Concat3dDim2DiffInputDimsUint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2955 | IWorkloadFactory& workloadFactory, |
| 2956 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2957 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2958 | bool useSubtensor) |
| 2959 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2960 | return Concat3dDim2DiffInputDimsTestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2961 | workloadFactory, memoryManager, tensorHandleFactory, useSubtensor, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2962 | } |
| 2963 | |
| 2964 | LayerTestResult<uint8_t, 4> Concat4dDim0Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2965 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2966 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2967 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2968 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2969 | return Concat4dDim0TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2970 | } |
| 2971 | |
| 2972 | LayerTestResult<uint8_t, 4> Concat4dDim1Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2973 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2974 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2975 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2976 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2977 | return Concat4dDim1TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2978 | } |
| 2979 | |
| 2980 | LayerTestResult<uint8_t, 4> Concat4dDim2Uint8Test( |
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 | { |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2985 | return Concat4dDim2TestImpl<DataType::QAsymmU8>(workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2986 | } |
| 2987 | |
| 2988 | LayerTestResult<uint8_t, 4> Concat4dDim3Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2989 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2990 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 2991 | const armnn::ITensorHandleFactory& tensorHandleFactory, bool useSubtensor) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2992 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 2993 | return Concat4dDim3TestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2994 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1, useSubtensor); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 2995 | } |
| 2996 | |
| 2997 | LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim0Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 2998 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 2999 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3000 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 3001 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 3002 | return Concat4dDiffShapeDim0TestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 3003 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 3004 | } |
| 3005 | |
| 3006 | LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim1Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 3007 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 3008 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3009 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 3010 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 3011 | return Concat4dDiffShapeDim1TestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 3012 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 3013 | } |
| 3014 | |
| 3015 | LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim2Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 3016 | IWorkloadFactory& workloadFactory, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 3017 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
| 3018 | const armnn::ITensorHandleFactory& tensorHandleFactory) |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 3019 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 3020 | return Concat4dDiffShapeDim2TestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 3021 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 3022 | } |
| 3023 | |
| 3024 | LayerTestResult<uint8_t, 4> Concat4dDiffShapeDim3Uint8Test( |
Aron Virginas-Tar | 48623a0 | 2019-10-22 10:00:28 +0100 | [diff] [blame] | 3025 | IWorkloadFactory& workloadFactory, |
| 3026 | const IBackendInternal::IMemoryManagerSharedPtr& memoryManager, |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 3027 | const armnn::ITensorHandleFactory& tensorHandleFactory, |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 3028 | bool useSubtensor) |
| 3029 | { |
Derek Lamberti | f90c56d | 2020-01-10 17:14:08 +0000 | [diff] [blame] | 3030 | return Concat4dDiffShapeDim3TestImpl<DataType::QAsymmU8>( |
Keith Davis | f500d6c | 2020-08-31 08:32:55 +0100 | [diff] [blame] | 3031 | workloadFactory, memoryManager, tensorHandleFactory, 0.5f, -1, useSubtensor); |
Aron Virginas-Tar | 00d306e | 2019-08-28 18:08:46 +0100 | [diff] [blame] | 3032 | } |