Francis Murtagh | c4fb0dd | 2023-03-16 17:01:56 +0000 | [diff] [blame] | 1 | // |
| 2 | // Copyright © 2023 Arm Ltd and Contributors. All rights reserved. |
| 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 5 | |
| 6 | #pragma once |
| 7 | |
| 8 | #include <OpaqueDelegateUtils.hpp> |
| 9 | #include <DelegateUtils.hpp> |
| 10 | |
| 11 | #include <algorithm> |
| 12 | #include <iterator> |
| 13 | #include <vector> |
| 14 | |
| 15 | namespace armnnOpaqueDelegate |
| 16 | { |
| 17 | |
| 18 | constexpr unsigned int MaxNumOfTensorDimensions = 5U; |
| 19 | |
| 20 | TfLiteStatus VisitSplitOperator(DelegateData& delegateData, |
| 21 | TfLiteOpaqueContext* tfLiteContext, |
| 22 | TfLiteOpaqueNode* tfLiteNode, |
| 23 | int nodeIndex, |
| 24 | int32_t tfLiteSplitOperatorCode) |
| 25 | { |
| 26 | TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 2, nodeIndex)); |
| 27 | |
| 28 | auto* splitParameters = reinterpret_cast<TfLiteSplitParams*>(TfLiteOpaqueNodeGetBuiltinData(tfLiteNode)); |
| 29 | int numSplits = NonNegative(splitParameters->num_splits, nodeIndex); |
| 30 | |
| 31 | TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, numSplits, nodeIndex)); |
| 32 | |
| 33 | // Gather input indices and use to get Axis tensor. |
| 34 | const int* inputTensors; |
| 35 | auto numInputs = TfLiteOpaqueNodeNumberOfInputs(tfLiteNode); |
| 36 | if (TfLiteOpaqueNodeInputs(tfLiteNode, &inputTensors, &numInputs) != kTfLiteOk) |
| 37 | { |
| 38 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 39 | tfLiteContext, |
| 40 | "TfLiteArmnnOpaqueDelegate: Unable to gather input tensor indices from node #%d: ", |
| 41 | nodeIndex); |
| 42 | return kTfLiteError; |
| 43 | } |
| 44 | |
| 45 | const TfLiteOpaqueTensor* tfLiteAxisTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]); |
| 46 | if (!IsValid(tfLiteContext, tfLiteAxisTensor, tfLiteSplitOperatorCode, nodeIndex)) |
| 47 | { |
| 48 | return kTfLiteError; |
| 49 | } |
| 50 | |
| 51 | // Use input indices to get input tensor. |
| 52 | const TfLiteOpaqueTensor* tfLiteInputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]); |
| 53 | if (!IsValid(tfLiteContext, tfLiteInputTensor, tfLiteSplitOperatorCode, nodeIndex)) |
| 54 | { |
| 55 | return kTfLiteError; |
| 56 | } |
| 57 | |
| 58 | // Gather output indices and use to get output tensors. |
| 59 | const int* outputTensors; |
| 60 | if (TfLiteOpaqueNodeOutputs(tfLiteNode, &outputTensors, &numSplits) != kTfLiteOk) |
| 61 | { |
| 62 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 63 | tfLiteContext, |
| 64 | "TfLiteArmnnOpaqueDelegate: Unable to gather output tensor indices from node #%d: ", |
| 65 | nodeIndex); |
| 66 | return kTfLiteError; |
| 67 | } |
| 68 | |
| 69 | const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor); |
| 70 | |
Ryan OShea | c229b3f | 2023-06-27 22:34:54 +0100 | [diff] [blame] | 71 | if (GetTensorInfoForTfLiteOpaqueTensor(tfLiteAxisTensor).GetNumElements() != 1) |
| 72 | { |
| 73 | return kTfLiteError; |
| 74 | } |
| 75 | |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 76 | auto* axisTensorDataPtr = static_cast<uint32_t*>(TfLiteOpaqueTensorData(tfLiteAxisTensor)); |
| 77 | std::vector<int32_t> axisTensorData(axisTensorDataPtr, axisTensorDataPtr + 1); |
| 78 | int32_t axis = axisTensorData[0]; |
| 79 | |
| 80 | auto inputDimensions = static_cast<int32_t>(inputTensorInfo.GetNumDimensions()); |
| 81 | if (((axis < -inputDimensions) && (axis < 0)) || ((axis >= inputDimensions) && (axis > 0))) |
| 82 | { |
| 83 | // Square bracket denotes inclusive n while parenthesis denotes exclusive n |
| 84 | // E.g. Rank 4 tensor can have axis in range [-4, 3) |
| 85 | // -1 == 3, -2 == 2, -3 == 1, -4 == 0 |
| 86 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 87 | tfLiteContext, |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 88 | "TfLiteOpaqueArmnnDelegate: Operation has invalid axis: #%d. " |
| 89 | "Axis must be in range [-n, n) in node #%d:", |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 90 | axis, nodeIndex); |
| 91 | } |
| 92 | const unsigned int splitDim = ComputeWrappedIndex(axis, inputTensorInfo.GetNumDimensions()); |
| 93 | |
| 94 | std::vector<armnn::TensorInfo> outputs; |
| 95 | for (int i = 0; i < numSplits; ++i) |
| 96 | { |
| 97 | const TfLiteOpaqueTensor* tfLiteOutputTensor = |
| 98 | TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[i]); |
| 99 | if (!IsValid(tfLiteContext, tfLiteOutputTensor, tfLiteSplitOperatorCode, nodeIndex)) |
| 100 | { |
| 101 | return kTfLiteError; |
| 102 | } |
| 103 | outputs.push_back(GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true)); |
| 104 | } |
| 105 | const std::vector<std::reference_wrapper<armnn::TensorInfo>> outputTensorInfos(outputs.begin(), outputs.end()); |
| 106 | |
| 107 | auto inputDimSize = inputTensorInfo.GetNumDimensions(); |
| 108 | if (inputDimSize > MaxNumOfTensorDimensions) |
| 109 | { |
| 110 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 111 | tfLiteContext, |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 112 | "TfLiteOpaqueArmnnDelegate: The number of dimensions: #%d for input tensors of the split op cannot be " |
| 113 | "greater than #%d in node #%d: ", |
| 114 | inputDimSize, MaxNumOfTensorDimensions, nodeIndex); |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 115 | return kTfLiteError; |
| 116 | } |
| 117 | |
| 118 | std::vector<unsigned int> splitterDimSizes(inputDimSize); |
| 119 | |
| 120 | // Add current input shape to splitterDimSizes |
| 121 | for (unsigned int i = 0; i < inputDimSize; ++i) |
| 122 | { |
| 123 | splitterDimSizes[i] = inputTensorInfo.GetShape()[i]; |
| 124 | } |
| 125 | |
| 126 | if (splitterDimSizes[splitDim] % numSplits != 0) |
| 127 | { |
| 128 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 129 | tfLiteContext, |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 130 | "TfLiteOpaqueArmnnDelegate: Number of splits #%d must evenly divide the dimension #%d in node #%d: ", |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 131 | numSplits, splitterDimSizes[splitDim], nodeIndex); |
| 132 | return kTfLiteError; |
| 133 | } |
| 134 | splitterDimSizes[splitDim] /= numSplits; |
| 135 | |
| 136 | armnn::SplitterDescriptor splitDescriptor(numSplits, inputDimSize); |
Mike Kelly | 363b572 | 2023-10-11 14:25:50 +0100 | [diff] [blame] | 137 | splitDescriptor.SetAxis(axis); |
| 138 | |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 139 | for (int j = 0; j < numSplits; ++j) |
| 140 | { |
| 141 | // Set the size of the views. |
| 142 | for (unsigned int dimIdx = 0; dimIdx < splitterDimSizes.size(); ++dimIdx) |
| 143 | { |
| 144 | splitDescriptor.SetViewSize(j, dimIdx, splitterDimSizes[dimIdx]); |
| 145 | } |
| 146 | splitDescriptor.SetViewOriginCoord(j, splitDim, splitterDimSizes[splitDim] * j); |
| 147 | } |
| 148 | |
| 149 | armnn::BackendId setBackend; |
| 150 | if (!delegateData.m_Network) |
| 151 | { |
| 152 | // Check if supported |
| 153 | bool isSupported = false; |
| 154 | FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("SPLIT", |
| 155 | tfLiteContext, |
| 156 | IsSplitterSupported, |
| 157 | delegateData.m_Backends, |
| 158 | isSupported, |
| 159 | setBackend, |
| 160 | inputTensorInfo, |
| 161 | outputTensorInfos, |
| 162 | splitDescriptor); |
| 163 | return isSupported ? kTfLiteOk : kTfLiteError; |
| 164 | } |
| 165 | |
Mike Kelly | a280650 | 2023-08-03 10:42:11 +0100 | [diff] [blame] | 166 | auto layerName = GetName(armnn::LayerType::Splitter, nodeIndex); |
| 167 | armnn::IConnectableLayer* layer = delegateData.m_Network->AddSplitterLayer(splitDescriptor, layerName.c_str()); |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 168 | layer->SetBackendId(setBackend); |
| 169 | ARMNN_ASSERT(layer != nullptr); |
| 170 | |
| 171 | for (unsigned int k = 0; k < layer->GetNumOutputSlots(); ++k) |
| 172 | { |
| 173 | layer->GetOutputSlot(k).SetTensorInfo(outputs[k]); |
| 174 | } |
| 175 | |
| 176 | // Connect the input slots |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 177 | delegateData.m_OutputSlotForNode[inputTensors[1]]->Connect(layer->GetInputSlot(0)); |
| 178 | |
| 179 | if(numSplits != static_cast<int>(layer->GetNumOutputSlots())) |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 180 | { |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 181 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 182 | tfLiteContext, |
| 183 | "TfLiteOpaqueArmnnDelegate: Expected number of splits #%d does not " |
| 184 | "match the number of output slots #%d in node #%d: ", |
| 185 | numSplits, layer->GetNumOutputSlots(), nodeIndex); |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 186 | return kTfLiteError; |
| 187 | } |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 188 | |
| 189 | // Prepare output slots |
| 190 | for (unsigned int outputIndex = 0; outputIndex < layer->GetNumOutputSlots(); ++outputIndex) |
| 191 | { |
| 192 | armnn::IOutputSlot& outputSlot = layer->GetOutputSlot(outputIndex); |
| 193 | delegateData.m_OutputSlotForNode[ |
| 194 | static_cast<unsigned long>(outputTensors[outputIndex])] = &outputSlot; |
| 195 | } |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 196 | return kTfLiteOk; |
| 197 | } |
| 198 | |
| 199 | TfLiteStatus VisitSplitVOperator(DelegateData& delegateData, |
| 200 | TfLiteOpaqueContext* tfLiteContext, |
| 201 | TfLiteOpaqueNode* tfLiteNode, |
| 202 | int nodeIndex, |
| 203 | int32_t tfLiteSplitVOperatorCode) |
| 204 | { |
| 205 | |
| 206 | TF_LITE_ENSURE_STATUS(ValidateNumInputs(tfLiteContext, tfLiteNode, 3, nodeIndex)); |
| 207 | |
| 208 | const int* inputTensors; |
| 209 | auto numInputs = TfLiteOpaqueNodeNumberOfInputs(tfLiteNode); |
| 210 | if (TfLiteOpaqueNodeInputs(tfLiteNode, &inputTensors, &numInputs) != kTfLiteOk) |
| 211 | { |
| 212 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 213 | tfLiteContext, |
| 214 | "TfLiteArmnnOpaqueDelegate: Unable to gather input tensor indices from node #%d: ", |
| 215 | nodeIndex); |
| 216 | return kTfLiteError; |
| 217 | } |
| 218 | |
| 219 | const TfLiteOpaqueTensor* tfLiteInputTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[0]); |
| 220 | if (!IsValid(tfLiteContext, tfLiteInputTensor, tfLiteSplitVOperatorCode, nodeIndex)) |
| 221 | { |
| 222 | return kTfLiteError; |
| 223 | } |
| 224 | |
| 225 | const TfLiteOpaqueTensor* tfLiteSplitsTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[1]); |
| 226 | if (!IsValid(tfLiteContext, tfLiteSplitsTensor, tfLiteSplitVOperatorCode, nodeIndex)) |
| 227 | { |
| 228 | return kTfLiteError; |
| 229 | } |
| 230 | |
| 231 | const TfLiteOpaqueTensor* tfLiteAxisTensor = TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, inputTensors[2]); |
| 232 | if (!IsValid(tfLiteContext, tfLiteAxisTensor, tfLiteSplitVOperatorCode, nodeIndex)) |
| 233 | { |
| 234 | return kTfLiteError; |
| 235 | } |
| 236 | |
| 237 | const armnn::TensorInfo& inputTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteInputTensor); |
| 238 | const armnn::TensorInfo& splitsTensorInfo = GetTensorInfoForTfLiteOpaqueTensor(tfLiteSplitsTensor); |
Ryan OShea | c229b3f | 2023-06-27 22:34:54 +0100 | [diff] [blame] | 239 | |
| 240 | if (splitsTensorInfo.GetNumDimensions() != 1) |
| 241 | { |
| 242 | return kTfLiteError; |
| 243 | } |
| 244 | |
| 245 | if (GetTensorInfoForTfLiteOpaqueTensor(tfLiteAxisTensor).GetNumElements() != 1) |
| 246 | { |
| 247 | return kTfLiteError; |
| 248 | } |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 249 | |
| 250 | auto* axisTensorDataPtr = static_cast<uint32_t*>(TfLiteOpaqueTensorData(tfLiteAxisTensor)); |
| 251 | std::vector<int32_t> axisTensorData(axisTensorDataPtr, axisTensorDataPtr + 1); |
| 252 | int32_t axis = axisTensorData[0]; |
| 253 | |
| 254 | auto inputDimensions = static_cast<int32_t>(inputTensorInfo.GetNumDimensions()); |
| 255 | if (((axis < -inputDimensions) && (axis < 0)) || ((axis >= inputDimensions) && (axis > 0))) |
| 256 | { |
| 257 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 258 | tfLiteContext, |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 259 | "TfLiteOpaqueArmnnDelegate: Operation has invalid axis: #%d. " |
| 260 | "Axis must be in range [-n, n) in node #%d:", |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 261 | axis, nodeIndex); |
| 262 | } |
| 263 | const unsigned int splitDim = ComputeWrappedIndex(axisTensorData[0], inputTensorInfo.GetNumDimensions()); |
| 264 | |
| 265 | auto* splitVParameters = reinterpret_cast<TfLiteSplitVParams*>(TfLiteOpaqueNodeGetBuiltinData(tfLiteNode)); |
| 266 | int numSplits = 0; |
| 267 | if (splitVParameters) |
| 268 | { |
| 269 | numSplits = NonNegative(splitVParameters->num_splits, nodeIndex); |
| 270 | } |
| 271 | else |
| 272 | { |
| 273 | numSplits = splitsTensorInfo.GetNumElements(); |
| 274 | } |
| 275 | |
| 276 | if (numSplits <= 0) |
| 277 | { |
| 278 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 279 | tfLiteContext, |
| 280 | "TfLiteOpaqueArmnnDelegate: Invalid number of splits %d in node #%d", |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 281 | numSplits, nodeIndex); |
| 282 | return kTfLiteError; |
| 283 | } |
| 284 | |
| 285 | TF_LITE_ENSURE_STATUS(ValidateNumOutputs(tfLiteContext, tfLiteNode, numSplits, nodeIndex)); |
| 286 | |
| 287 | // Gather output indices and use to get output tensors. |
| 288 | const int* outputTensors; |
| 289 | if (TfLiteOpaqueNodeOutputs(tfLiteNode, &outputTensors, &numSplits) != kTfLiteOk) |
| 290 | { |
| 291 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 292 | tfLiteContext, |
| 293 | "TfLiteArmnnOpaqueDelegate: Unable to gather output tensor indices from node #%d: ", |
| 294 | nodeIndex); |
| 295 | return kTfLiteError; |
| 296 | } |
| 297 | std::vector<armnn::TensorInfo> outputs; |
| 298 | for (int i = 0; i < numSplits; ++i) |
| 299 | { |
| 300 | const TfLiteOpaqueTensor* tfLiteOutputTensor = |
| 301 | TfLiteOpaqueContextGetOpaqueTensor(tfLiteContext, outputTensors[i]); |
| 302 | if (!IsValid(tfLiteContext, tfLiteOutputTensor, tfLiteSplitVOperatorCode, nodeIndex)) |
| 303 | { |
| 304 | return kTfLiteError; |
| 305 | } |
| 306 | outputs.push_back(GetTensorInfoForTfLiteOpaqueTensor(tfLiteOutputTensor, true)); |
| 307 | } |
| 308 | const std::vector<std::reference_wrapper<armnn::TensorInfo>> outputTensorInfos(outputs.begin(), outputs.end()); |
| 309 | |
| 310 | auto inputDimSize = inputTensorInfo.GetNumDimensions(); |
| 311 | if (inputDimSize > MaxNumOfTensorDimensions) |
| 312 | { |
| 313 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
| 314 | tfLiteContext, |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 315 | "TfLiteOpaqueArmnnDelegate: The number of dimensions: #%d for input tensors of the split op cannot be " |
| 316 | "greater than #%d in node #%d: ", |
| 317 | inputDimSize, MaxNumOfTensorDimensions, nodeIndex); |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 318 | return kTfLiteError; |
| 319 | } |
| 320 | |
| 321 | std::vector<int32_t> splitsTensorData(numSplits); |
| 322 | std::memcpy(splitsTensorData.data(), TfLiteOpaqueTensorData(tfLiteSplitsTensor), splitsTensorInfo.GetNumBytes()); |
| 323 | |
| 324 | |
| 325 | unsigned int index = 0; |
| 326 | unsigned int inferredIndex = 0; |
| 327 | int numberOfInferred = 0; |
| 328 | int splitSum = 0; |
| 329 | |
| 330 | for (auto splitData : splitsTensorData) |
| 331 | { |
| 332 | if (splitData < 0) |
| 333 | { |
| 334 | ++numberOfInferred; |
| 335 | inferredIndex = index; |
| 336 | } |
| 337 | else |
| 338 | { |
| 339 | splitSum += splitData; |
| 340 | } |
| 341 | ++index; |
| 342 | } |
| 343 | |
| 344 | // Check for inferred axis |
| 345 | if (numberOfInferred == 0) |
| 346 | { |
| 347 | if (splitSum != armnn::numeric_cast<int>(inputTensorInfo.GetShape()[splitDim])) |
| 348 | { |
| 349 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 350 | tfLiteContext, |
| 351 | "TfLiteOpaqueArmnnDelegate: SplitV split_sizes does not sum to the dimension " |
| 352 | "of value along split_dim in node #%d", |
| 353 | nodeIndex); |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 354 | return kTfLiteError; |
| 355 | } |
| 356 | } |
| 357 | else if (numberOfInferred == 1) |
| 358 | { |
| 359 | splitsTensorData[inferredIndex] = armnn::numeric_cast<int>(inputTensorInfo.GetShape()[splitDim]) - splitSum; |
| 360 | } |
| 361 | else |
| 362 | { |
| 363 | TF_LITE_OPAQUE_MAYBE_KERNEL_LOG( |
Ryan OShea | 59f8f65 | 2023-05-11 20:37:53 +0100 | [diff] [blame] | 364 | tfLiteContext, |
| 365 | "TfLiteOpaqueArmnnDelegate: SplitV cannot infer split size for " |
| 366 | "more than one split in node #%d", |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 367 | nodeIndex); |
| 368 | return kTfLiteError; |
| 369 | } |
| 370 | |
| 371 | armnn::SplitterDescriptor splitDescriptor(numSplits, inputDimSize); |
Mike Kelly | 363b572 | 2023-10-11 14:25:50 +0100 | [diff] [blame] | 372 | splitDescriptor.SetAxis(axis); |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 373 | unsigned int accumSplit = 0; |
Mike Kelly | 363b572 | 2023-10-11 14:25:50 +0100 | [diff] [blame] | 374 | |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 375 | for (int j = 0; j < numSplits; ++j) |
| 376 | { |
| 377 | unsigned int splitSize = armnn::numeric_cast<unsigned int>(splitsTensorData[j]); |
| 378 | |
| 379 | // Set the size of the views. |
| 380 | for (unsigned int dimIdx = 0; dimIdx < inputTensorInfo.GetNumDimensions(); ++dimIdx) |
| 381 | { |
| 382 | unsigned int dimSize = inputTensorInfo.GetShape()[dimIdx]; |
| 383 | if (dimIdx == splitDim) |
| 384 | { |
| 385 | dimSize = splitSize; |
| 386 | } |
| 387 | splitDescriptor.SetViewSize(j, dimIdx, dimSize); |
| 388 | } |
| 389 | |
| 390 | splitDescriptor.SetViewOriginCoord(j, splitDim, accumSplit); |
| 391 | accumSplit += splitSize; |
| 392 | } |
| 393 | |
| 394 | armnn::BackendId setBackend; |
| 395 | if (!delegateData.m_Network) |
| 396 | { |
| 397 | // Check if supported |
| 398 | bool isSupported = false; |
| 399 | FORWARD_LAYER_OPAQUE_SUPPORT_FUNC("SPLITV", |
| 400 | tfLiteContext, |
| 401 | IsSplitterSupported, |
| 402 | delegateData.m_Backends, |
| 403 | isSupported, |
| 404 | setBackend, |
| 405 | inputTensorInfo, |
| 406 | outputTensorInfos, |
| 407 | splitDescriptor); |
| 408 | return isSupported ? kTfLiteOk : kTfLiteError; |
| 409 | } |
| 410 | |
Mike Kelly | a280650 | 2023-08-03 10:42:11 +0100 | [diff] [blame] | 411 | auto layerName = GetName(armnn::LayerType::Splitter, nodeIndex); |
| 412 | armnn::IConnectableLayer* layer = delegateData.m_Network->AddSplitterLayer(splitDescriptor, layerName.c_str()); |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 413 | layer->SetBackendId(setBackend); |
| 414 | ARMNN_ASSERT(layer != nullptr); |
| 415 | |
| 416 | for (unsigned int k = 0; k < layer->GetNumOutputSlots(); ++k) |
| 417 | { |
| 418 | layer->GetOutputSlot(k).SetTensorInfo(outputs[k]); |
| 419 | } |
| 420 | |
| 421 | // try to connect the Constant Inputs if there are any |
Mike Kelly | a280650 | 2023-08-03 10:42:11 +0100 | [diff] [blame] | 422 | if (ProcessInputs(layer, delegateData, tfLiteContext, tfLiteNode, nodeIndex) != kTfLiteOk) |
David Monahan | c833cef | 2023-05-03 15:53:03 +0100 | [diff] [blame] | 423 | { |
| 424 | return kTfLiteError; |
| 425 | } |
| 426 | |
| 427 | // Connect |
| 428 | return Connect(layer, tfLiteContext, tfLiteNode, delegateData); |
| 429 | } |
| 430 | |
| 431 | } // namespace armnnOpaqueDelegate |