Laurent Carlier | 749294b | 2020-06-01 09:03:17 +0100 | [diff] [blame] | 1 | // |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 2 | // Copyright © 2017 Arm Ltd and Contributors. All rights reserved. |
David Beck | ecb56cd | 2018-09-05 12:52:57 +0100 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 4 | // |
| 5 | #include "Layer.hpp" |
| 6 | |
| 7 | #include "Graph.hpp" |
janeil01 | 3fec1ea | 2019-11-07 09:47:20 +0000 | [diff] [blame] | 8 | #include <ProfilingService.hpp> |
Matthew Sloyan | 0663d66 | 2020-09-14 11:47:26 +0100 | [diff] [blame] | 9 | #include <armnn/utility/NumericCast.hpp> |
Aron Virginas-Tar | c9cc804 | 2018-11-01 16:15:57 +0000 | [diff] [blame] | 10 | #include <backendsCommon/WorkloadData.hpp> |
| 11 | #include <backendsCommon/CpuTensorHandle.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 12 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 13 | #include <boost/format.hpp> |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 14 | |
| 15 | #include <numeric> |
| 16 | |
| 17 | namespace armnn |
| 18 | { |
| 19 | |
| 20 | void InputSlot::Insert(Layer& layer) |
| 21 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 22 | ARMNN_ASSERT(layer.GetNumOutputSlots() == 1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 23 | |
| 24 | OutputSlot* const prevSlot = GetConnectedOutputSlot(); |
| 25 | |
| 26 | if (prevSlot != nullptr) |
| 27 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 28 | // Disconnects parent from this. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 29 | prevSlot->Disconnect(*this); |
| 30 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 31 | // Connects inserted layer to parent. |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 32 | ARMNN_ASSERT(layer.GetNumInputSlots() == 1); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 33 | int idx = prevSlot->Connect(layer.GetInputSlot(0)); |
Matthew Sloyan | 0663d66 | 2020-09-14 11:47:26 +0100 | [diff] [blame] | 34 | prevSlot->SetEdgeStrategy(armnn::numeric_cast<unsigned int>(idx), EdgeStrategy::Undefined); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 35 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 36 | // Sets tensor info for inserted layer. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 37 | const TensorInfo& tensorInfo = prevSlot->GetTensorInfo(); |
| 38 | layer.GetOutputHandler().SetTensorInfo(tensorInfo); |
| 39 | } |
| 40 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 41 | // Connects inserted layer to this. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 42 | layer.GetOutputSlot(0).Connect(*this); |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 43 | layer.GetOutputSlot(0).SetEdgeStrategy(0, EdgeStrategy::Undefined); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 44 | } |
| 45 | |
| 46 | const InputSlot* OutputSlot::GetConnection(unsigned int index) const |
| 47 | { |
| 48 | ValidateConnectionIndex(index); |
| 49 | return m_Connections[index]; |
| 50 | } |
| 51 | |
| 52 | InputSlot* OutputSlot::GetConnection(unsigned int index) |
| 53 | { |
| 54 | ValidateConnectionIndex(index); |
| 55 | return m_Connections[index]; |
| 56 | } |
| 57 | |
| 58 | void OutputSlot::SetTensorInfo(const TensorInfo& tensorInfo) |
| 59 | { |
| 60 | GetOutputHandler().SetTensorInfo(tensorInfo); |
| 61 | } |
| 62 | |
| 63 | const TensorInfo& OutputSlot::GetTensorInfo() const |
| 64 | { |
| 65 | return GetOutputHandler().GetTensorInfo(); |
| 66 | } |
| 67 | |
| 68 | bool OutputSlot::IsTensorInfoSet() const |
| 69 | { |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 70 | if (GetOwningLayer().GetShapeInferenceMethod() == ShapeInferenceMethod::InferAndValidate) |
| 71 | { |
| 72 | GetOwningLayer().ValidateTensorShapesFromInputs(); |
| 73 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 74 | return GetOutputHandler().IsTensorInfoSet(); |
| 75 | } |
| 76 | |
| 77 | bool OutputSlot::ValidateTensorShape(const TensorShape& shape) const |
| 78 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 79 | ARMNN_ASSERT_MSG(IsTensorInfoSet(), "TensorInfo must be set in order to validate the shape."); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 80 | return shape == m_OutputHandler.GetTensorInfo().GetShape(); |
| 81 | } |
| 82 | |
| 83 | int OutputSlot::Connect(InputSlot& destination) |
| 84 | { |
| 85 | destination.SetConnection(this); |
| 86 | m_Connections.push_back(&destination); |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 87 | m_EdgeStrategies.push_back(EdgeStrategy::Undefined); |
Matthew Sloyan | 0663d66 | 2020-09-14 11:47:26 +0100 | [diff] [blame] | 88 | return armnn::numeric_cast<int>(m_Connections.size() - 1); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 89 | } |
| 90 | |
| 91 | void OutputSlot::Disconnect(InputSlot& slot) |
| 92 | { |
| 93 | slot.SetConnection(nullptr); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 94 | auto it = std::find(m_Connections.begin(), m_Connections.end(), &slot); |
| 95 | |
| 96 | if (it == m_Connections.end()) |
| 97 | { |
| 98 | return; |
| 99 | } |
| 100 | |
| 101 | auto idx = std::distance(m_Connections.begin(), it); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 102 | m_Connections.erase(std::remove(m_Connections.begin(), m_Connections.end(), &slot), m_Connections.end()); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 103 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 104 | m_EdgeStrategies.erase(m_EdgeStrategies.begin() + idx); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 105 | } |
| 106 | |
| 107 | void OutputSlot::DisconnectAll() |
| 108 | { |
| 109 | while (GetNumConnections() > 0) |
| 110 | { |
| 111 | InputSlot& connection = *GetConnection(0); |
| 112 | Disconnect(connection); |
| 113 | } |
| 114 | } |
| 115 | |
| 116 | void OutputSlot::MoveAllConnections(OutputSlot& destination) |
| 117 | { |
| 118 | while (GetNumConnections() > 0) |
| 119 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 120 | ARMNN_ASSERT_MSG(m_EdgeStrategies[0] == EdgeStrategy::Undefined, |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 121 | "Cannot move connections once memory strategies have be established."); |
| 122 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 123 | InputSlot& connection = *GetConnection(0); |
| 124 | Disconnect(connection); |
| 125 | destination.Connect(connection); |
Finn Williams | 3e6676d | 2020-05-14 13:41:48 +0100 | [diff] [blame] | 126 | destination.GetOutputHandler().SetTensorInfo(GetOutputHandler().GetTensorInfo()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 127 | } |
| 128 | } |
| 129 | |
Derek Lamberti | 27d8307 | 2019-02-05 16:00:08 +0000 | [diff] [blame] | 130 | unsigned int OutputSlot::CalculateIndexOnOwner() const |
| 131 | { |
Matteo Martincigh | 9c5d33a | 2019-02-07 17:52:41 +0000 | [diff] [blame] | 132 | for (unsigned int i = 0; i < GetOwningLayer().GetNumOutputSlots(); i++) |
Derek Lamberti | 27d8307 | 2019-02-05 16:00:08 +0000 | [diff] [blame] | 133 | { |
| 134 | if (GetOwningLayer().GetOutputSlot(i) == (*this)) |
| 135 | { |
| 136 | return i; |
| 137 | } |
| 138 | } |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 139 | ARMNN_ASSERT_MSG(false, "Did not find slot on owner."); |
Derek Lamberti | 27d8307 | 2019-02-05 16:00:08 +0000 | [diff] [blame] | 140 | return 0; // Error |
| 141 | } |
| 142 | |
| 143 | bool OutputSlot::operator==(const OutputSlot& other) const |
| 144 | { |
| 145 | bool isSame = other.GetNumConnections() == GetNumConnections(); |
| 146 | if (!isSame) |
| 147 | { |
| 148 | return false; |
| 149 | } |
| 150 | |
Matteo Martincigh | 9c5d33a | 2019-02-07 17:52:41 +0000 | [diff] [blame] | 151 | for (unsigned int i = 0; i < GetNumConnections(); i++) |
Derek Lamberti | 27d8307 | 2019-02-05 16:00:08 +0000 | [diff] [blame] | 152 | { |
| 153 | isSame &= other.GetConnection(i) == GetConnection(i); |
| 154 | } |
| 155 | return isSame; |
| 156 | } |
| 157 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 158 | void OutputSlot::ValidateConnectionIndex(unsigned int index) const |
| 159 | { |
Matthew Sloyan | 0663d66 | 2020-09-14 11:47:26 +0100 | [diff] [blame] | 160 | if (armnn::numeric_cast<std::size_t>(index) >= m_Connections.size()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 161 | { |
| 162 | throw InvalidArgumentException( |
| 163 | boost::str(boost::format("GetConnection: Invalid index %1% provided") % index)); |
| 164 | } |
| 165 | } |
| 166 | |
Mike Kelly | 8c1701a | 2019-02-11 17:01:27 +0000 | [diff] [blame] | 167 | LayerGuid OutputSlot::GetOwningLayerGuid() const |
| 168 | { |
| 169 | return GetOwningLayer().GetGuid(); |
| 170 | } |
| 171 | |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 172 | void OutputSlot::SetTensorHandleFactory(const ITensorHandleFactory::FactoryId& id) |
| 173 | { |
| 174 | m_TensorHandleFactoryId = id; |
| 175 | } |
| 176 | |
| 177 | ITensorHandleFactory::FactoryId OutputSlot::GetTensorHandleFactoryId() const |
| 178 | { |
| 179 | return m_TensorHandleFactoryId; |
| 180 | } |
| 181 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 182 | void OutputSlot::SetEdgeStrategy(unsigned int connectionIndex, EdgeStrategy strategy) |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 183 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 184 | m_EdgeStrategies[connectionIndex] = strategy; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 185 | } |
| 186 | |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 187 | EdgeStrategy OutputSlot::GetEdgeStrategyForConnection(unsigned int connectionIdx) const |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 188 | { |
Derek Lamberti | f674aa0 | 2019-08-01 15:56:25 +0100 | [diff] [blame] | 189 | return m_EdgeStrategies[connectionIdx]; |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 190 | } |
| 191 | |
Derek Lamberti | 0cff163 | 2018-09-18 16:02:25 +0100 | [diff] [blame] | 192 | Layer::Layer(unsigned int numInputSlots, |
| 193 | unsigned int numOutputSlots, |
| 194 | LayerType type, |
| 195 | DataLayout layout, |
| 196 | const char* name) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 197 | : m_OutputHandlers(numOutputSlots) |
Finn Williams | f24effa | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 198 | , m_ShapeInferenceMethod(ShapeInferenceMethod::ValidateOnly) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 199 | , m_LayerName(name ? name : "") |
| 200 | , m_Type(type) |
Matteo Martincigh | 992d6dc | 2019-01-10 17:34:20 +0000 | [diff] [blame] | 201 | , m_BackendId() |
Derek Lamberti | 4a9e24b | 2020-01-03 16:53:38 +0000 | [diff] [blame] | 202 | , m_BackendHint(EmptyOptional()) |
Sadik Armagan | 3184c90 | 2020-03-18 10:57:30 +0000 | [diff] [blame] | 203 | , m_Guid(profiling::ProfilingService::GetNextGuid()) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 204 | { |
Jan Eilers | 8eb2560 | 2020-03-09 12:13:48 +0000 | [diff] [blame] | 205 | IgnoreUnused(layout); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 206 | m_InputSlots.reserve(numInputSlots); |
| 207 | for (unsigned int i = 0; i < numInputSlots; ++i) |
| 208 | { |
| 209 | m_InputSlots.emplace_back(*this, i); |
| 210 | } |
| 211 | |
| 212 | m_OutputSlots.reserve(numOutputSlots); |
| 213 | for (unsigned int i = 0; i < numOutputSlots; ++i) |
| 214 | { |
| 215 | m_OutputSlots.emplace_back(*this, m_OutputHandlers[i]); |
| 216 | } |
| 217 | } |
| 218 | |
Derek Lamberti | 0cff163 | 2018-09-18 16:02:25 +0100 | [diff] [blame] | 219 | Layer::Layer(unsigned int numInputSlots, |
| 220 | unsigned int numOutputSlots, |
| 221 | LayerType type, |
| 222 | const char* name) |
| 223 | : Layer(numInputSlots, numOutputSlots, type, DataLayout::NCHW, name) |
| 224 | { |
| 225 | } |
| 226 | |
Derek Lamberti | 94a88d2 | 2019-12-10 21:12:59 +0000 | [diff] [blame] | 227 | void Layer::CollectWorkloadInputs(WorkloadDataCollector& dataCollector) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 228 | { |
| 229 | for (auto&& inputSlot : GetInputSlots()) |
| 230 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 231 | // The graph must be well-formed at this point. |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 232 | ARMNN_ASSERT(inputSlot.GetConnection()); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 233 | const OutputHandler& outputHandler = inputSlot.GetConnectedOutputSlot()->GetOutputHandler(); |
| 234 | dataCollector.Push(outputHandler.GetData(), outputHandler.GetTensorInfo()); |
| 235 | } |
| 236 | } |
| 237 | |
Derek Lamberti | 94a88d2 | 2019-12-10 21:12:59 +0000 | [diff] [blame] | 238 | void Layer::CollectWorkloadOutputs(WorkloadDataCollector& dataCollector) const |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 239 | { |
| 240 | for (auto&& outputHandler : m_OutputHandlers) |
| 241 | { |
| 242 | outputHandler.CollectWorkloadOutputs(dataCollector); |
| 243 | } |
| 244 | } |
| 245 | |
David Monahan | 3fb7e10 | 2019-08-20 11:25:29 +0100 | [diff] [blame] | 246 | void Layer::CreateTensorHandles(const TensorHandleFactoryRegistry& registry, |
| 247 | const IWorkloadFactory& workloadFactory, |
| 248 | const bool IsMemoryManaged) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 249 | { |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 250 | for (unsigned int idx=0; idx < GetNumOutputSlots(); idx++) |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 251 | { |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 252 | |
| 253 | OutputSlot& slot = GetOutputSlot(idx); |
| 254 | ITensorHandleFactory::FactoryId factoryId = slot.GetTensorHandleFactoryId(); |
| 255 | |
| 256 | OutputHandler& handler = GetOutputHandler(idx); |
| 257 | if (factoryId == ITensorHandleFactory::LegacyFactoryId) |
| 258 | { |
David Monahan | 3fb7e10 | 2019-08-20 11:25:29 +0100 | [diff] [blame] | 259 | handler.CreateTensorHandles(workloadFactory, IsMemoryManaged); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 260 | } |
| 261 | else |
| 262 | { |
| 263 | ITensorHandleFactory* handleFactory = registry.GetFactory(factoryId); |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 264 | ARMNN_ASSERT(handleFactory); |
David Monahan | 3fb7e10 | 2019-08-20 11:25:29 +0100 | [diff] [blame] | 265 | handler.CreateTensorHandles(*handleFactory, IsMemoryManaged); |
Derek Lamberti | 84da38b | 2019-06-13 11:40:08 +0100 | [diff] [blame] | 266 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 267 | } |
| 268 | } |
| 269 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 270 | void Layer::ReleaseConstantData() |
| 271 | { |
| 272 | // Now free up the static data. |
| 273 | OperateOnConstantTensors([](std::unique_ptr<ScopedCpuTensorHandle>& handle) |
| 274 | { |
| 275 | handle.reset(nullptr); |
| 276 | }); |
| 277 | } |
| 278 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 279 | DataType Layer::GetDataType() const |
| 280 | { |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 281 | if (GetNumInputSlots() > 0) // Ignore the input layer. |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 282 | { |
| 283 | return GetInputSlot(0).GetConnection()->GetTensorInfo().GetDataType(); |
| 284 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 285 | return GetOutputSlot(0).GetTensorInfo().GetDataType(); |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 286 | } |
| 287 | |
| 288 | void Layer::ResetPriority() const |
| 289 | { |
| 290 | m_Priority = 0; |
| 291 | m_Visiting = false; |
| 292 | } |
| 293 | |
| 294 | LayerPriority Layer::GetPriority() const |
| 295 | { |
| 296 | constexpr LayerPriority inputPrio = std::numeric_limits<LayerPriority>::lowest(); |
| 297 | constexpr LayerPriority outputPrio = std::numeric_limits<LayerPriority>::max(); |
| 298 | |
| 299 | if (GetType() == LayerType::Input) |
| 300 | { |
| 301 | m_Priority = inputPrio; |
| 302 | } |
| 303 | else if (GetType() == LayerType::Output) |
| 304 | { |
| 305 | m_Priority = outputPrio; |
| 306 | } |
| 307 | else if (m_Priority == 0) |
| 308 | { |
| 309 | if (m_Visiting) |
| 310 | { |
| 311 | throw GraphValidationException("Graph has circular dependencies: cannot walk"); |
| 312 | } |
| 313 | |
| 314 | auto maxPrio = [](const LayerPriority prio, const InputSlot& slot) -> LayerPriority |
| 315 | { |
Matthew Bentham | d78b891d | 2019-04-30 10:17:40 +0100 | [diff] [blame] | 316 | const OutputSlot *outputSlot = slot.GetConnectedOutputSlot(); |
| 317 | if (outputSlot) |
| 318 | { |
| 319 | const Layer& input = outputSlot->GetOwningLayer(); |
| 320 | return std::max(prio, input.GetPriority()); |
| 321 | } |
| 322 | else |
| 323 | { |
| 324 | // unconnected input slot |
| 325 | return prio; |
| 326 | } |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 327 | }; |
| 328 | |
| 329 | m_Visiting = true; |
| 330 | LayerPriority parentPrio = std::accumulate(GetInputSlots().cbegin(), GetInputSlots().cend(), 0U, maxPrio); |
| 331 | m_Visiting = false; |
| 332 | |
| 333 | if (parentPrio >= outputPrio) |
| 334 | { |
| 335 | throw GraphValidationException("Graph has too many edges"); |
| 336 | } |
| 337 | |
| 338 | m_Priority = parentPrio + 1U; |
| 339 | } |
| 340 | |
| 341 | return m_Priority; |
| 342 | } |
| 343 | |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 344 | void Layer::VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation& location) const |
| 345 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 346 | ARMNN_ASSERT(GetNumInputSlots() == expectedConnections); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 347 | |
| 348 | for (unsigned int i=0; i<expectedConnections; ++i) |
| 349 | { |
| 350 | if (GetInputSlot(i).GetConnection() == nullptr) |
| 351 | { |
| 352 | throw LayerValidationException( |
| 353 | boost::str( |
| 354 | boost::format( |
| 355 | "Input connection #%1% must be connected " |
| 356 | "for %2% layer %3% %4%") |
| 357 | % i |
| 358 | % GetLayerTypeAsCString(this->GetType()) |
| 359 | % GetNameStr() |
| 360 | % location.AsString())); |
| 361 | } |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 362 | } |
| 363 | } |
| 364 | |
| 365 | std::vector<TensorShape> Layer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const |
| 366 | { |
Narumol Prangnawarat | ac2770a | 2020-04-01 16:51:23 +0100 | [diff] [blame] | 367 | ARMNN_ASSERT(GetNumInputSlots() != 0); |
| 368 | ARMNN_ASSERT(GetNumOutputSlots() != 0); |
telsoa01 | c577f2c | 2018-08-31 09:22:23 +0100 | [diff] [blame] | 369 | |
| 370 | // By default we return what we got, meaning the output shape(s) are the same as the input(s). |
| 371 | // This only works if the number of inputs and outputs are the same. Since we are in the Layer |
| 372 | // base class, this means the implementation needs to be overridden in the specific layers for |
| 373 | // the other cases. So the missing implementation justifies the UnimplementedException. |
| 374 | |
| 375 | if (GetNumInputSlots() != GetNumOutputSlots()) |
| 376 | { |
| 377 | throw UnimplementedException( |
| 378 | boost::str( |
| 379 | boost::format( |
| 380 | "Default implementation for InferOutputShapes can only be used for " |
| 381 | "layers with the same number of input and output slots. This doesn't " |
| 382 | "hold for %1% layer %2% (#inputs=%3% #outputs=%4%) %5%") |
| 383 | % GetLayerTypeAsCString(this->GetType()) |
| 384 | % GetNameStr() |
| 385 | % GetNumInputSlots() |
| 386 | % GetNumOutputSlots() |
| 387 | % CHECK_LOCATION().AsString())); |
| 388 | } |
| 389 | return inputShapes; |
| 390 | } |
Andre Ghattas | 23ae2ea | 2019-08-07 12:18:38 +0100 | [diff] [blame] | 391 | |
Finn Williams | 87d0bda | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 392 | void Layer::ValidateAndCopyShape(const TensorShape& outputShape, |
| 393 | const TensorShape& inferredShape, |
| 394 | const ShapeInferenceMethod shapeInferenceMethod, |
| 395 | const std::string& layerName, |
| 396 | const unsigned int outputSlotIndex) |
| 397 | { |
| 398 | if (shapeInferenceMethod == ShapeInferenceMethod::ValidateOnly) |
| 399 | { |
| 400 | ConditionalThrowIfNotEqual<LayerValidationException>( |
| 401 | layerName + ": TensorShape set on OutputSlot[0] does not match the inferred shape.", |
| 402 | outputShape, |
| 403 | inferredShape); |
| 404 | return; |
| 405 | } |
| 406 | |
| 407 | if (outputShape.GetDimensionality() == Dimensionality::Specified) |
| 408 | { |
| 409 | for (unsigned int i = 0; i < outputShape.GetNumDimensions(); ++i) |
| 410 | { |
| 411 | if (outputShape.GetDimensionSpecificity(i) && outputShape[i] != inferredShape[i]) |
| 412 | { |
| 413 | std::stringstream ss; |
| 414 | ss << layerName << ": TensorShape set on OutputSlot[" << outputSlotIndex << |
| 415 | "] does not match the inferred shape at dimension index ["; |
| 416 | ss << i << "] " << outputShape << " != " << inferredShape; |
| 417 | throw LayerValidationException(ss.str()); |
| 418 | } |
| 419 | } |
| 420 | } |
| 421 | |
| 422 | TensorInfo info = GetOutputSlot(outputSlotIndex).GetTensorInfo(); |
| 423 | |
| 424 | armnn::TensorInfo inferredTensorInfo(inferredShape, |
| 425 | info.GetDataType(), |
| 426 | info.GetQuantizationScale(), |
| 427 | info.GetQuantizationOffset()); |
| 428 | |
| 429 | GetOutputSlot(outputSlotIndex).SetTensorInfo(inferredTensorInfo); |
| 430 | } |
| 431 | |
| 432 | void Layer::VerifyShapeInferenceType(const TensorShape& outputShape, ShapeInferenceMethod shapeInferenceMethod) |
| 433 | { |
| 434 | if (shapeInferenceMethod == ShapeInferenceMethod::ValidateOnly) |
| 435 | { |
| 436 | ConditionalThrow<LayerValidationException>( |
| 437 | outputShape.GetDimensionality() != Dimensionality::NotSpecified, |
| 438 | "Dimensionality can not be NotSpecified while using ShapeInferenceMethod::ValidateOnly"); |
| 439 | |
| 440 | ConditionalThrow<LayerValidationException>( |
| 441 | outputShape.AreAllDimensionsSpecified(), |
| 442 | "Unspecified dimension while using ShapeInferenceMethod::ValidateOnly"); |
| 443 | } |
Finn Williams | 87d0bda | 2020-07-03 10:12:03 +0100 | [diff] [blame] | 444 | } |
| 445 | |
Andre Ghattas | 23ae2ea | 2019-08-07 12:18:38 +0100 | [diff] [blame] | 446 | void Layer::SerializeLayerParameters(ParameterStringifyFunction& fn) const |
| 447 | { |
Rob Hughes | b17220d | 2020-08-28 11:48:35 +0100 | [diff] [blame^] | 448 | std::string guid = std::to_string(m_Guid); |
Andre Ghattas | 23ae2ea | 2019-08-07 12:18:38 +0100 | [diff] [blame] | 449 | std::string layerType = GetLayerTypeAsCString(m_Type); |
| 450 | std::string backendId = std::string(m_BackendId); |
Rob Hughes | b17220d | 2020-08-28 11:48:35 +0100 | [diff] [blame^] | 451 | if (!(guid.compare("") == 0) && !guid.empty()) |
| 452 | { |
| 453 | fn("Guid", guid); |
| 454 | } |
Andre Ghattas | 23ae2ea | 2019-08-07 12:18:38 +0100 | [diff] [blame] | 455 | if(!(m_LayerName.compare("") == 0) && !m_LayerName.empty()) |
| 456 | { |
| 457 | fn("LayerName",m_LayerName); |
| 458 | } |
| 459 | if(!(layerType.compare("") == 0) && !layerType.empty()) |
| 460 | { |
| 461 | fn("LayerType",layerType); |
| 462 | } |
| 463 | if(!(backendId.compare("") == 0) && !backendId.empty()) |
| 464 | { |
| 465 | fn("BackendID",backendId); |
| 466 | } |
| 467 | } |
| 468 | |
telsoa01 | 4fcda01 | 2018-03-09 14:13:49 +0000 | [diff] [blame] | 469 | } // namespace armnn |