Colm Donelan | 17948b5 | 2022-02-01 23:37:04 +0000 | [diff] [blame] | 1 | // |
Mike Kelly | 3ec3077 | 2023-03-08 13:47:17 +0000 | [diff] [blame] | 2 | // Copyright © 2022-2023 Arm Ltd and Contributors. All rights reserved. |
Colm Donelan | 17948b5 | 2022-02-01 23:37:04 +0000 | [diff] [blame] | 3 | // SPDX-License-Identifier: MIT |
| 4 | // |
| 5 | |
Cathal Corbett | 3464ba1 | 2022-03-04 11:36:39 +0000 | [diff] [blame] | 6 | #include <armnn/BackendRegistry.hpp> |
Colm Donelan | 17948b5 | 2022-02-01 23:37:04 +0000 | [diff] [blame] | 7 | #include <armnn/backends/MemCopyWorkload.hpp> |
| 8 | #include <armnnTestUtils/MockBackend.hpp> |
| 9 | #include <armnnTestUtils/MockTensorHandle.hpp> |
Cathal Corbett | 3464ba1 | 2022-03-04 11:36:39 +0000 | [diff] [blame] | 10 | #include <backendsCommon/DefaultAllocator.hpp> |
| 11 | #include <backendsCommon/test/MockBackendId.hpp> |
| 12 | #include <SubgraphViewSelector.hpp> |
Colm Donelan | 17948b5 | 2022-02-01 23:37:04 +0000 | [diff] [blame] | 13 | |
Matthew Bentham | c1c5f2a | 2023-03-30 14:24:46 +0000 | [diff] [blame] | 14 | #include "Layer.hpp" |
| 15 | |
Colm Donelan | 17948b5 | 2022-02-01 23:37:04 +0000 | [diff] [blame] | 16 | namespace armnn |
| 17 | { |
| 18 | |
Colm Donelan | c42a987 | 2022-02-02 16:35:09 +0000 | [diff] [blame] | 19 | const BackendId& MockBackend::GetIdStatic() |
| 20 | { |
| 21 | static const BackendId s_Id{MockBackendId()}; |
| 22 | return s_Id; |
| 23 | } |
| 24 | |
Colm Donelan | 17948b5 | 2022-02-01 23:37:04 +0000 | [diff] [blame] | 25 | namespace |
| 26 | { |
| 27 | static const BackendId s_Id{ MockBackendId() }; |
| 28 | } |
| 29 | |
| 30 | MockWorkloadFactory::MockWorkloadFactory(const std::shared_ptr<MockMemoryManager>& memoryManager) |
| 31 | : m_MemoryManager(memoryManager) |
| 32 | {} |
| 33 | |
| 34 | MockWorkloadFactory::MockWorkloadFactory() |
| 35 | : m_MemoryManager(new MockMemoryManager()) |
| 36 | {} |
| 37 | |
| 38 | const BackendId& MockWorkloadFactory::GetBackendId() const |
| 39 | { |
| 40 | return s_Id; |
| 41 | } |
| 42 | |
| 43 | std::unique_ptr<IWorkload> MockWorkloadFactory::CreateWorkload(LayerType type, |
| 44 | const QueueDescriptor& descriptor, |
| 45 | const WorkloadInfo& info) const |
| 46 | { |
| 47 | switch (type) |
| 48 | { |
| 49 | case LayerType::MemCopy: { |
| 50 | auto memCopyQueueDescriptor = PolymorphicDowncast<const MemCopyQueueDescriptor*>(&descriptor); |
| 51 | if (descriptor.m_Inputs.empty()) |
| 52 | { |
| 53 | throw InvalidArgumentException("MockWorkloadFactory: CreateMemCopy() expected an input tensor."); |
| 54 | } |
| 55 | return std::make_unique<CopyMemGenericWorkload>(*memCopyQueueDescriptor, info); |
| 56 | } |
| 57 | default: |
| 58 | return nullptr; |
| 59 | } |
| 60 | } |
| 61 | |
Cathal Corbett | 3464ba1 | 2022-03-04 11:36:39 +0000 | [diff] [blame] | 62 | bool IsLayerSupported(const armnn::Layer* layer) |
| 63 | { |
| 64 | ARMNN_ASSERT(layer != nullptr); |
| 65 | |
| 66 | armnn::LayerType layerType = layer->GetType(); |
| 67 | switch (layerType) |
| 68 | { |
| 69 | case armnn::LayerType::Input: |
| 70 | case armnn::LayerType::Output: |
Keith Davis | b4dd5cc | 2022-04-07 11:32:00 +0100 | [diff] [blame] | 71 | case armnn::LayerType::Constant: |
Cathal Corbett | 3464ba1 | 2022-03-04 11:36:39 +0000 | [diff] [blame] | 72 | case armnn::LayerType::Addition: |
| 73 | case armnn::LayerType::Convolution2d: |
Mike Kelly | 3ec3077 | 2023-03-08 13:47:17 +0000 | [diff] [blame] | 74 | case armnn::LayerType::ElementwiseBinary: |
Cathal Corbett | 3464ba1 | 2022-03-04 11:36:39 +0000 | [diff] [blame] | 75 | // Layer supported |
| 76 | return true; |
| 77 | default: |
| 78 | // Layer unsupported |
| 79 | return false; |
| 80 | } |
| 81 | } |
| 82 | |
| 83 | bool IsLayerSupported(const armnn::Layer& layer) |
| 84 | { |
| 85 | return IsLayerSupported(&layer); |
| 86 | } |
| 87 | |
| 88 | bool IsLayerOptimizable(const armnn::Layer* layer) |
| 89 | { |
| 90 | ARMNN_ASSERT(layer != nullptr); |
| 91 | |
| 92 | // A Layer is not optimizable if its name contains "unoptimizable" |
| 93 | const std::string layerName(layer->GetName()); |
| 94 | bool optimizable = layerName.find("unoptimizable") == std::string::npos; |
| 95 | |
| 96 | return optimizable; |
| 97 | } |
| 98 | |
| 99 | bool IsLayerOptimizable(const armnn::Layer& layer) |
| 100 | { |
| 101 | return IsLayerOptimizable(&layer); |
| 102 | } |
| 103 | |
| 104 | } // Anonymous namespace |
| 105 | |
| 106 | namespace armnn |
| 107 | { |
| 108 | |
| 109 | MockBackendInitialiser::MockBackendInitialiser() |
| 110 | { |
| 111 | BackendRegistryInstance().Register(MockBackend::GetIdStatic(), |
| 112 | []() |
| 113 | { |
| 114 | return IBackendInternalUniquePtr(new MockBackend); |
| 115 | }); |
| 116 | } |
| 117 | |
| 118 | MockBackendInitialiser::~MockBackendInitialiser() |
| 119 | { |
| 120 | try |
| 121 | { |
| 122 | BackendRegistryInstance().Deregister(MockBackend::GetIdStatic()); |
| 123 | } |
| 124 | catch (...) |
| 125 | { |
| 126 | std::cerr << "could not deregister mock backend" << std::endl; |
| 127 | } |
| 128 | } |
| 129 | |
| 130 | IBackendInternal::IWorkloadFactoryPtr MockBackend::CreateWorkloadFactory( |
| 131 | const IBackendInternal::IMemoryManagerSharedPtr& /*memoryManager*/) const |
| 132 | { |
| 133 | return IWorkloadFactoryPtr{}; |
| 134 | } |
| 135 | |
| 136 | IBackendInternal::IBackendContextPtr MockBackend::CreateBackendContext(const IRuntime::CreationOptions&) const |
| 137 | { |
| 138 | return IBackendContextPtr{}; |
| 139 | } |
| 140 | |
| 141 | IBackendInternal::IBackendProfilingContextPtr MockBackend::CreateBackendProfilingContext( |
| 142 | const IRuntime::CreationOptions& options, IBackendProfilingPtr& backendProfiling) |
| 143 | { |
| 144 | IgnoreUnused(options); |
| 145 | std::shared_ptr<armnn::MockBackendProfilingContext> context = |
| 146 | std::make_shared<MockBackendProfilingContext>(backendProfiling); |
| 147 | MockBackendProfilingService::Instance().SetProfilingContextPtr(context); |
| 148 | return context; |
| 149 | } |
| 150 | |
| 151 | IBackendInternal::IMemoryManagerUniquePtr MockBackend::CreateMemoryManager() const |
| 152 | { |
| 153 | return IMemoryManagerUniquePtr{}; |
| 154 | } |
| 155 | |
| 156 | IBackendInternal::ILayerSupportSharedPtr MockBackend::GetLayerSupport() const |
| 157 | { |
| 158 | static ILayerSupportSharedPtr layerSupport{new MockLayerSupport}; |
| 159 | return layerSupport; |
| 160 | } |
| 161 | |
| 162 | OptimizationViews MockBackend::OptimizeSubgraphView(const SubgraphView& subgraph) const |
| 163 | { |
| 164 | // Prepare the optimization views |
| 165 | OptimizationViews optimizationViews; |
| 166 | |
| 167 | // Get the layers of the input sub-graph |
| 168 | const SubgraphView::IConnectableLayers& subgraphLayers = subgraph.GetIConnectableLayers(); |
| 169 | |
| 170 | // Parse the layers |
| 171 | SubgraphView::IConnectableLayers supportedLayers; |
| 172 | SubgraphView::IConnectableLayers unsupportedLayers; |
| 173 | SubgraphView::IConnectableLayers untouchedLayers; |
| 174 | std::for_each(subgraphLayers.begin(), |
| 175 | subgraphLayers.end(), |
| 176 | [&](IConnectableLayer* layer) |
| 177 | { |
| 178 | bool supported = IsLayerSupported(PolymorphicDowncast<Layer*>(layer)); |
| 179 | if (supported) |
| 180 | { |
| 181 | // Layer supported, check if it's optimizable |
| 182 | bool optimizable = IsLayerOptimizable(PolymorphicDowncast<Layer*>(layer)); |
| 183 | if (optimizable) |
| 184 | { |
| 185 | // Layer fully supported |
| 186 | supportedLayers.push_back(layer); |
| 187 | } |
| 188 | else |
| 189 | { |
| 190 | // Layer supported but not optimizable |
| 191 | untouchedLayers.push_back(layer); |
| 192 | } |
| 193 | } |
| 194 | else |
| 195 | { |
| 196 | // Layer unsupported |
| 197 | unsupportedLayers.push_back(layer); |
| 198 | } |
| 199 | }); |
| 200 | |
| 201 | // Check if there are supported layers |
| 202 | if (!supportedLayers.empty()) |
| 203 | { |
| 204 | // Select the layers that are neither inputs or outputs, but that are optimizable |
| 205 | auto supportedSubgraphSelector = [](const Layer& layer) |
| 206 | { |
| 207 | return layer.GetType() != LayerType::Input && |
| 208 | layer.GetType() != LayerType::Output && |
| 209 | IsLayerSupported(layer) && |
| 210 | IsLayerOptimizable(layer); |
| 211 | }; |
| 212 | |
| 213 | // Apply the subgraph selector to the supported layers to group them into sub-graphs were appropriate |
| 214 | SubgraphView mutableSubgraph(subgraph); |
| 215 | SubgraphViewSelector::Subgraphs supportedSubgraphs = |
| 216 | SubgraphViewSelector::SelectSubgraphs(mutableSubgraph, supportedSubgraphSelector); |
| 217 | |
| 218 | // Create a substitution pair for each supported sub-graph |
| 219 | std::for_each(supportedSubgraphs.begin(), |
| 220 | supportedSubgraphs.end(), |
| 221 | [&optimizationViews](const SubgraphView::SubgraphViewPtr& supportedSubgraph) |
| 222 | { |
| 223 | ARMNN_ASSERT(supportedSubgraph != nullptr); |
| 224 | |
| 225 | CompiledBlobPtr blobPtr; |
| 226 | BackendId backend = MockBackendId(); |
| 227 | |
| 228 | IConnectableLayer* preCompiledLayer = |
| 229 | optimizationViews.GetINetwork()->AddPrecompiledLayer( |
| 230 | PreCompiledDescriptor(supportedSubgraph->GetNumInputSlots(), |
| 231 | supportedSubgraph->GetNumOutputSlots()), |
| 232 | std::move(blobPtr), |
| 233 | backend, |
| 234 | nullptr); |
| 235 | |
| 236 | SubgraphView substitutionSubgraph(*supportedSubgraph); |
| 237 | SubgraphView replacementSubgraph(preCompiledLayer); |
| 238 | |
| 239 | optimizationViews.AddSubstitution({ substitutionSubgraph, replacementSubgraph }); |
| 240 | }); |
| 241 | } |
| 242 | |
| 243 | // Check if there are unsupported layers |
| 244 | if (!unsupportedLayers.empty()) |
| 245 | { |
| 246 | // Select the layers that are neither inputs or outputs, and are not optimizable |
| 247 | auto unsupportedSubgraphSelector = [](const Layer& layer) |
| 248 | { |
| 249 | return layer.GetType() != LayerType::Input && |
| 250 | layer.GetType() != LayerType::Output && |
| 251 | !IsLayerSupported(layer); |
| 252 | }; |
| 253 | |
| 254 | // Apply the subgraph selector to the unsupported layers to group them into sub-graphs were appropriate |
| 255 | SubgraphView mutableSubgraph(subgraph); |
| 256 | SubgraphViewSelector::Subgraphs unsupportedSubgraphs = |
| 257 | SubgraphViewSelector::SelectSubgraphs(mutableSubgraph, unsupportedSubgraphSelector); |
| 258 | |
| 259 | // Add each unsupported sub-graph to the list of failed sub-graphs in the optimizization views |
| 260 | std::for_each(unsupportedSubgraphs.begin(), |
| 261 | unsupportedSubgraphs.end(), |
| 262 | [&optimizationViews](const SubgraphView::SubgraphViewPtr& unsupportedSubgraph) |
| 263 | { |
| 264 | ARMNN_ASSERT(unsupportedSubgraph != nullptr); |
| 265 | |
| 266 | optimizationViews.AddFailedSubgraph(SubgraphView(*unsupportedSubgraph)); |
| 267 | }); |
| 268 | } |
| 269 | |
| 270 | // Check if there are untouched layers |
| 271 | if (!untouchedLayers.empty()) |
| 272 | { |
| 273 | // Select the layers that are neither inputs or outputs, that are supported but that and are not optimizable |
| 274 | auto untouchedSubgraphSelector = [](const Layer& layer) |
| 275 | { |
| 276 | return layer.GetType() != LayerType::Input && |
| 277 | layer.GetType() != LayerType::Output && |
| 278 | IsLayerSupported(layer) && |
| 279 | !IsLayerOptimizable(layer); |
| 280 | }; |
| 281 | |
| 282 | // Apply the subgraph selector to the untouched layers to group them into sub-graphs were appropriate |
| 283 | SubgraphView mutableSubgraph(subgraph); |
| 284 | SubgraphViewSelector::Subgraphs untouchedSubgraphs = |
| 285 | SubgraphViewSelector::SelectSubgraphs(mutableSubgraph, untouchedSubgraphSelector); |
| 286 | |
| 287 | // Add each untouched sub-graph to the list of untouched sub-graphs in the optimizization views |
| 288 | std::for_each(untouchedSubgraphs.begin(), |
| 289 | untouchedSubgraphs.end(), |
| 290 | [&optimizationViews](const SubgraphView::SubgraphViewPtr& untouchedSubgraph) |
| 291 | { |
| 292 | ARMNN_ASSERT(untouchedSubgraph != nullptr); |
| 293 | |
| 294 | optimizationViews.AddUntouchedSubgraph(SubgraphView(*untouchedSubgraph)); |
| 295 | }); |
| 296 | } |
| 297 | |
| 298 | return optimizationViews; |
| 299 | } |
| 300 | |
| 301 | std::unique_ptr<ICustomAllocator> MockBackend::GetDefaultAllocator() const |
| 302 | { |
| 303 | return std::make_unique<DefaultAllocator>(); |
| 304 | } |
| 305 | |
Matthew Bentham | c1c5f2a | 2023-03-30 14:24:46 +0000 | [diff] [blame] | 306 | } // namespace armnn |