blob: dc25bab0c6c1c08a7d02a0ae36dd359364454366 [file] [log] [blame]
Mike Kelly8c1701a2019-02-11 17:01:27 +00001//
2// Copyright © 2017 Arm Ltd. All rights reserved.
3// SPDX-License-Identifier: MIT
4//
5
6#include "Serializer.hpp"
Saoirse Stewart3166c3e2019-02-18 15:24:53 +00007
8#include "SerializerUtils.hpp"
9
Mike Kelly8c1701a2019-02-11 17:01:27 +000010#include <armnn/ArmNN.hpp>
Saoirse Stewart3166c3e2019-02-18 15:24:53 +000011
Mike Kelly8c1701a2019-02-11 17:01:27 +000012#include <iostream>
Saoirse Stewart3166c3e2019-02-18 15:24:53 +000013
Matthew Bentham268509a2019-02-25 13:58:24 +000014#include <ArmnnSchema_generated.h>
Saoirse Stewart3166c3e2019-02-18 15:24:53 +000015
Mike Kelly8c1701a2019-02-11 17:01:27 +000016#include <flatbuffers/util.h>
17
18using namespace armnn;
19namespace fb = flatbuffers;
Derek Lamberti0028d1b2019-02-20 13:57:42 +000020namespace serializer = armnnSerializer;
Mike Kelly8c1701a2019-02-11 17:01:27 +000021
22namespace armnnSerializer
23{
24
Mike Kellyaf484012019-02-20 16:53:11 +000025serializer::ActivationFunction GetFlatBufferActivationFunction(armnn::ActivationFunction function)
26{
27 switch (function)
28 {
29 case armnn::ActivationFunction::Sigmoid:
30 return serializer::ActivationFunction::ActivationFunction_Sigmoid;
31 case armnn::ActivationFunction::TanH:
32 return serializer::ActivationFunction::ActivationFunction_TanH;
33 case armnn::ActivationFunction::Linear:
34 return serializer::ActivationFunction::ActivationFunction_Linear;
35 case armnn::ActivationFunction::ReLu:
36 return serializer::ActivationFunction::ActivationFunction_ReLu;
37 case armnn::ActivationFunction::BoundedReLu:
38 return serializer::ActivationFunction::ActivationFunction_BoundedReLu;
39 case armnn::ActivationFunction::LeakyReLu:
40 return serializer::ActivationFunction::ActivationFunction_LeakyReLu;
41 case armnn::ActivationFunction::Abs:
42 return serializer::ActivationFunction::ActivationFunction_Abs;
43 case armnn::ActivationFunction::Sqrt:
44 return serializer::ActivationFunction::ActivationFunction_Sqrt;
45 case armnn::ActivationFunction::Square:
46 return serializer::ActivationFunction::ActivationFunction_Square;
47 default:
48 return serializer::ActivationFunction::ActivationFunction_Sigmoid;
49 }
50}
51
Saoirse Stewartcb8a3212019-02-14 15:46:10 +000052uint32_t SerializerVisitor::GetSerializedId(unsigned int guid)
53{
54 std::pair<unsigned int, uint32_t> guidPair(guid, m_layerId);
55
56 if (m_guidMap.empty())
57 {
58 m_guidMap.insert(guidPair);
59 }
60 else if (m_guidMap.find(guid) == m_guidMap.end())
61 {
62 guidPair.second = ++m_layerId;
63 m_guidMap.insert(guidPair);
64 return m_layerId;
65 }
Saoirse Stewart30211042019-02-18 17:19:16 +000066 return m_guidMap[guid];
Saoirse Stewartcb8a3212019-02-14 15:46:10 +000067}
68
Mike Kelly8c1701a2019-02-11 17:01:27 +000069// Build FlatBuffer for Input Layer
Derek Lamberti0028d1b2019-02-20 13:57:42 +000070void SerializerVisitor::VisitInputLayer(const armnn::IConnectableLayer* layer, LayerBindingId id, const char* name)
Mike Kelly8c1701a2019-02-11 17:01:27 +000071{
72 // Create FlatBuffer BaseLayer
73 auto flatBufferInputBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Input);
74
75 // Create FlatBuffer BindableBaseLayer
76 auto flatBufferInputBindableBaseLayer = serializer::CreateBindableLayerBase(m_flatBufferBuilder,
77 flatBufferInputBaseLayer,
78 id);
Mike Kelly8c1701a2019-02-11 17:01:27 +000079 // Push layer Guid to outputIds.
Saoirse Stewartcb8a3212019-02-14 15:46:10 +000080 m_inputIds.push_back(GetSerializedId(layer->GetGuid()));
Mike Kelly8c1701a2019-02-11 17:01:27 +000081
82 // Create the FlatBuffer InputLayer
83 auto flatBufferInputLayer = serializer::CreateInputLayer(m_flatBufferBuilder, flatBufferInputBindableBaseLayer);
84
85 // Add the AnyLayer to the FlatBufferLayers
86 CreateAnyLayer(flatBufferInputLayer.o, serializer::Layer::Layer_InputLayer);
87}
88
89// Build FlatBuffer for Output Layer
Derek Lamberti0028d1b2019-02-20 13:57:42 +000090void SerializerVisitor::VisitOutputLayer(const armnn::IConnectableLayer* layer, LayerBindingId id, const char* name)
Mike Kelly8c1701a2019-02-11 17:01:27 +000091{
92 // Create FlatBuffer BaseLayer
93 auto flatBufferOutputBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Output);
94
95 // Create FlatBuffer BindableBaseLayer
96 auto flatBufferOutputBindableBaseLayer = serializer::CreateBindableLayerBase(m_flatBufferBuilder,
97 flatBufferOutputBaseLayer,
98 id);
99 // Push layer Guid to outputIds.
Saoirse Stewartcb8a3212019-02-14 15:46:10 +0000100 m_outputIds.push_back(GetSerializedId(layer->GetGuid()));
Mike Kelly8c1701a2019-02-11 17:01:27 +0000101
102 // Create the FlatBuffer OutputLayer
103 auto flatBufferOutputLayer = serializer::CreateOutputLayer(m_flatBufferBuilder, flatBufferOutputBindableBaseLayer);
104 // Add the AnyLayer to the FlatBufferLayers
105 CreateAnyLayer(flatBufferOutputLayer.o, serializer::Layer::Layer_OutputLayer);
106}
107
Mike Kellyaf484012019-02-20 16:53:11 +0000108// Build FlatBuffer for Activation Layer
109void SerializerVisitor::VisitActivationLayer(const armnn::IConnectableLayer* layer,
110 const armnn::ActivationDescriptor& descriptor,
111 const char* name)
112{
113 // Create FlatBuffer BaseLayer
114 auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Activation);
115
116 // Create the FlatBuffer ActivationDescriptor
117 auto flatBufferDescriptor = CreateActivationDescriptor(m_flatBufferBuilder,
118 GetFlatBufferActivationFunction(descriptor.m_Function),
119 descriptor.m_A,
120 descriptor.m_B);
121
122 // Create the FlatBuffer ActivationLayer
123 auto flatBufferAdditionLayer = CreateActivationLayer(m_flatBufferBuilder,
124 flatBufferBaseLayer,
125 flatBufferDescriptor);
126
127 // Add the AnyLayer to the FlatBufferLayers
128 CreateAnyLayer(flatBufferAdditionLayer.o, serializer::Layer::Layer_ActivationLayer);
129}
130
Mike Kelly8c1701a2019-02-11 17:01:27 +0000131// Build FlatBuffer for Addition Layer
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000132void SerializerVisitor::VisitAdditionLayer(const armnn::IConnectableLayer* layer, const char* name)
Mike Kelly8c1701a2019-02-11 17:01:27 +0000133{
134 // Create FlatBuffer BaseLayer
135 auto flatBufferAdditionBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Addition);
136
137 // Create the FlatBuffer AdditionLayer
138 auto flatBufferAdditionLayer = serializer::CreateAdditionLayer(m_flatBufferBuilder, flatBufferAdditionBaseLayer);
139
140 // Add the AnyLayer to the FlatBufferLayers
141 CreateAnyLayer(flatBufferAdditionLayer.o, serializer::Layer::Layer_AdditionLayer);
142}
143
Nattapat Chaimanowong6b4ed982019-02-26 17:24:13 +0000144// Build FlatBuffer for BatchToSpaceNd Layer
145void SerializerVisitor::VisitBatchToSpaceNdLayer(const armnn::IConnectableLayer* layer,
146 const armnn::BatchToSpaceNdDescriptor& descriptor,
147 const char* name)
148{
149 // Create FlatBuffer BaseLayer
150 auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_BatchToSpaceNd);
151
152 std::vector<unsigned int> crops;
153 crops.reserve(descriptor.m_Crops.size() * 2);
154 for (auto& crop : descriptor.m_Crops)
155 {
156 crops.push_back(crop.first);
157 crops.push_back(crop.second);
158 }
159
160 auto flatBufferDescriptor =
161 CreateBatchToSpaceNdDescriptor(m_flatBufferBuilder,
162 m_flatBufferBuilder.CreateVector(descriptor.m_BlockShape),
163 m_flatBufferBuilder.CreateVector(crops),
164 GetFlatBufferDataLayout(descriptor.m_DataLayout));
165
166 auto flatBufferLayer = serializer::CreateBatchToSpaceNdLayer(m_flatBufferBuilder,
167 flatBufferBaseLayer,
168 flatBufferDescriptor);
169
170 CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_BatchToSpaceNdLayer);
171}
172
Conor Kennedy76277882019-02-26 08:29:54 +0000173// Build FlatBuffer for Constant Layer
174void SerializerVisitor::VisitConstantLayer(const armnn::IConnectableLayer* layer,
175 const armnn::ConstTensor& input,
176 const char* name)
177{
178 // Create FlatBuffer BaseLayer
179 auto flatBufferConstantBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Constant);
180
181 auto flatBufferConstTensorInfo = CreateConstTensorInfo(input);
182
183 // Create the FlatBuffer ConstantLayer
184 auto flatBufferLayer = CreateConstantLayer(m_flatBufferBuilder,
185 flatBufferConstantBaseLayer,
186 flatBufferConstTensorInfo);
187
188 // Add the AnyLayer to the FlatBufferLayers
189 CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_ConstantLayer);
190}
191
Mike Kellya0766c32019-02-19 17:22:07 +0000192// Build FlatBuffer for Convolution2dLayer
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000193void SerializerVisitor::VisitConvolution2dLayer(const armnn::IConnectableLayer* layer,
194 const armnn::Convolution2dDescriptor& descriptor,
195 const armnn::ConstTensor& weights,
196 const armnn::Optional<armnn::ConstTensor>& biases,
Mike Kellya0766c32019-02-19 17:22:07 +0000197 const char* name)
198{
199 // Create FlatBuffer BaseLayer
200 auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Convolution2d);
201
202 auto flatBufferDescriptor = CreateConvolution2dDescriptor(m_flatBufferBuilder,
203 descriptor.m_PadLeft,
204 descriptor.m_PadRight,
205 descriptor.m_PadTop,
206 descriptor.m_PadBottom,
207 descriptor.m_StrideX,
208 descriptor.m_StrideY,
209 descriptor.m_BiasEnabled,
210 GetFlatBufferDataLayout(descriptor.m_DataLayout));
211 auto flatBufferWeightsConstTensorInfo = CreateConstTensorInfo(weights);
212 flatbuffers::Offset<serializer::ConstTensor> flatBufferBiasesConstTensorInfo;
213
214 if (biases.has_value())
215 {
216 flatBufferBiasesConstTensorInfo = CreateConstTensorInfo(biases.value());
217 }
218
219 // Create the FlatBuffer Convolution2dLayer
220 auto flatBufferLayer = CreateConvolution2dLayer(m_flatBufferBuilder,
221 flatBufferBaseLayer,
222 flatBufferDescriptor,
223 flatBufferWeightsConstTensorInfo,
224 flatBufferBiasesConstTensorInfo);
225
226 // Add the AnyLayer to the FlatBufferLayers
227 CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_Convolution2dLayer);
228}
229
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000230void SerializerVisitor::VisitDepthwiseConvolution2dLayer(const armnn::IConnectableLayer* layer,
231 const armnn::DepthwiseConvolution2dDescriptor& descriptor,
232 const armnn::ConstTensor& weights,
233 const armnn::Optional<armnn::ConstTensor>& biases,
Aron Virginas-Tarc04125f2019-02-19 16:31:08 +0000234 const char* name)
235{
236 auto fbBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_DepthwiseConvolution2d);
237 auto fbDescriptor = CreateDepthwiseConvolution2dDescriptor(m_flatBufferBuilder,
238 descriptor.m_PadLeft,
239 descriptor.m_PadRight,
240 descriptor.m_PadTop,
241 descriptor.m_PadBottom,
242 descriptor.m_StrideX,
243 descriptor.m_StrideY,
244 descriptor.m_BiasEnabled,
245 GetFlatBufferDataLayout(descriptor.m_DataLayout));
246
247 flatbuffers::Offset<serializer::ConstTensor> fbWeightsConstTensorInfo = CreateConstTensorInfo(weights);
248 flatbuffers::Offset<serializer::ConstTensor> fbBiasesConstTensorInfo;
249 if (biases.has_value())
250 {
251 fbBiasesConstTensorInfo = CreateConstTensorInfo(biases.value());
252 }
253
254 auto flatBufferLayer = CreateDepthwiseConvolution2dLayer(m_flatBufferBuilder,
255 fbBaseLayer,
256 fbDescriptor,
257 fbWeightsConstTensorInfo,
258 fbBiasesConstTensorInfo);
259
260 CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_DepthwiseConvolution2dLayer);
261}
262
Sadik Armagan5f450272019-02-12 14:31:45 +0000263// Build FlatBuffer for Multiplication Layer
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000264void SerializerVisitor::VisitMultiplicationLayer(const armnn::IConnectableLayer* layer, const char* name)
Sadik Armagan5f450272019-02-12 14:31:45 +0000265{
266 // Create FlatBuffer BaseLayer
267 auto flatBufferMultiplicationBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Multiplication);
268
269 // Create the FlatBuffer MultiplicationLayer
270 auto flatBufferMultiplicationLayer =
271 serializer::CreateMultiplicationLayer(m_flatBufferBuilder, flatBufferMultiplicationBaseLayer);
272
273 // Add the AnyLayer to the FlatBufferLayers
274 CreateAnyLayer(flatBufferMultiplicationLayer.o, serializer::Layer::Layer_MultiplicationLayer);
275}
276
Nattapat Chaimanowong30b00202019-02-20 17:31:34 +0000277void SerializerVisitor::VisitPermuteLayer(const armnn::IConnectableLayer* layer,
278 const armnn::PermuteDescriptor& permuteDescriptor,
279 const char* name)
280{
281 // Create FlatBuffer BaseLayer
282 auto flatBufferPermuteBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Permute);
283
284 std::vector<unsigned int> dimMappings;
285 for (auto& v: permuteDescriptor.m_DimMappings)
286 {
287 dimMappings.push_back(v);
288 }
289
290 auto flatBufferPermuteDesc = serializer::CreatePermuteDescriptor(m_flatBufferBuilder,
291 m_flatBufferBuilder.CreateVector(dimMappings));
292
293 // Create the FlatBuffer PermuteLayer
294 auto flatBufferPermuteLayer = serializer::CreatePermuteLayer(m_flatBufferBuilder,
295 flatBufferPermuteBaseLayer,
296 flatBufferPermuteDesc);
297
298 // Add the AnyLayer to the FlatBufferLayers
299 CreateAnyLayer(flatBufferPermuteLayer.o, serializer::Layer::Layer_PermuteLayer);
300}
301
Saoirse Stewart263829c2019-02-19 15:54:14 +0000302// Build FlatBuffer for Reshape Layer
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000303void SerializerVisitor::VisitReshapeLayer(const armnn::IConnectableLayer* layer,
Saoirse Stewart263829c2019-02-19 15:54:14 +0000304 const armnn::ReshapeDescriptor& reshapeDescriptor,
305 const char* name)
306{
307 // Create FlatBuffer BaseLayer
308 auto flatBufferReshapeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Reshape);
309
310 std::vector<unsigned int> targetShape;
311 for (unsigned int i =0; i < reshapeDescriptor.m_TargetShape.GetNumDimensions(); i++)
312 {
313 targetShape.push_back(reshapeDescriptor.m_TargetShape[i]);
314 }
315
316 auto flatBufferReshapeDesc = serializer::CreateReshapeDescriptor(m_flatBufferBuilder,
317 m_flatBufferBuilder.CreateVector(targetShape));
318
319 // Create the FlatBuffer ReshapeLayer
320 auto flatBufferReshapeLayer = serializer::CreateReshapeLayer(m_flatBufferBuilder, flatBufferReshapeBaseLayer,
321 flatBufferReshapeDesc);
322
323 // Add the AnyLayer to the FlatBufferLayers
324 CreateAnyLayer(flatBufferReshapeLayer.o, serializer::Layer::Layer_ReshapeLayer);
325}
326
Aron Virginas-Tarfc413c02019-02-13 15:41:52 +0000327// Build FlatBuffer for Softmax Layer
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000328void SerializerVisitor::VisitSoftmaxLayer(const armnn::IConnectableLayer* layer,
329 const armnn::SoftmaxDescriptor& softmaxDescriptor,
Aron Virginas-Tarfc413c02019-02-13 15:41:52 +0000330 const char* name)
331{
332 // Create FlatBuffer BaseLayer
333 auto flatBufferSoftmaxBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Softmax);
334
335 // Create the FlatBuffer SoftmaxDescriptor
336 auto flatBufferSoftmaxDesc =
337 serializer::CreateSoftmaxDescriptor(m_flatBufferBuilder, softmaxDescriptor.m_Beta);
338
339 // Create the FlatBuffer SoftmaxLayer
340 auto flatBufferSoftmaxLayer =
341 serializer::CreateSoftmaxLayer(m_flatBufferBuilder,
342 flatBufferSoftmaxBaseLayer,
343 flatBufferSoftmaxDesc);
344
345 CreateAnyLayer(flatBufferSoftmaxLayer.o, serializer::Layer::Layer_SoftmaxLayer);
346}
347
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000348void SerializerVisitor::VisitPooling2dLayer(const armnn::IConnectableLayer* layer,
349 const armnn::Pooling2dDescriptor& pooling2dDescriptor,
Saoirse Stewart3166c3e2019-02-18 15:24:53 +0000350 const char* name)
351{
352 auto fbPooling2dBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Pooling2d);
353 auto fbPooling2dDescriptor = serializer::CreatePooling2dDescriptor(
354 m_flatBufferBuilder,
355 GetFlatBufferPoolingAlgorithm(pooling2dDescriptor.m_PoolType),
356 pooling2dDescriptor.m_PadLeft,
357 pooling2dDescriptor.m_PadRight,
358 pooling2dDescriptor.m_PadTop,
359 pooling2dDescriptor.m_PadBottom,
360 pooling2dDescriptor.m_PoolWidth,
361 pooling2dDescriptor.m_PoolHeight,
362 pooling2dDescriptor.m_StrideX,
363 pooling2dDescriptor.m_StrideY,
364 GetFlatBufferOutputShapeRounding(pooling2dDescriptor.m_OutputShapeRounding),
365 GetFlatBufferPaddingMethod(pooling2dDescriptor.m_PaddingMethod),
366 GetFlatBufferDataLayout(pooling2dDescriptor.m_DataLayout));
367
368 auto fbPooling2dLayer = serializer::CreatePooling2dLayer(m_flatBufferBuilder,
369 fbPooling2dBaseLayer,
370 fbPooling2dDescriptor);
371
372 CreateAnyLayer(fbPooling2dLayer.o, serializer::Layer::Layer_Pooling2dLayer);
373}
374
Sadik Armagandbb0c0c2019-02-21 09:01:41 +0000375// Build FlatBuffer for FullyConnected Layer
376void SerializerVisitor::VisitFullyConnectedLayer(const armnn::IConnectableLayer* layer,
377 const armnn::FullyConnectedDescriptor& fullyConnectedDescriptor,
378 const armnn::ConstTensor& weights,
379 const armnn::Optional<armnn::ConstTensor>& biases,
380 const char* name)
381{
382 // Create FlatBuffer BaseLayer
383 auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_FullyConnected);
384
385 // Create FlatBuffer FullyConnectedDescriptor
386 auto flatBufferDescriptor =
387 serializer::CreateFullyConnectedDescriptor(m_flatBufferBuilder,
388 fullyConnectedDescriptor.m_BiasEnabled,
389 fullyConnectedDescriptor.m_TransposeWeightMatrix);
390
391 // Create FlatBuffer weights data
392 auto flatBufferWeights = CreateConstTensorInfo(weights);
393
394 // Create FlatBuffer bias data
395 flatbuffers::Offset<serializer::ConstTensor> flatBufferBiases;
396 if (fullyConnectedDescriptor.m_BiasEnabled)
397 {
398 flatBufferBiases = CreateConstTensorInfo(biases.value());
399 }
400
401 // Create FlatBuffer FullyConnectedLayer
402 auto flatBufferLayer = serializer::CreateFullyConnectedLayer(m_flatBufferBuilder,
403 flatBufferBaseLayer,
404 flatBufferDescriptor,
405 flatBufferWeights,
406 flatBufferBiases);
407
408 // Add created FullyConnectedLayer to the FlatBufferLayers
409 CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_FullyConnectedLayer);
410}
411
Nattapat Chaimanowong45286992019-02-26 15:53:02 +0000412// Build FlatBuffer for SpaceToBatchNd Layer
413void SerializerVisitor::VisitSpaceToBatchNdLayer(const armnn::IConnectableLayer* layer,
414 const armnn::SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor,
415 const char* name)
416{
417 // Create FlatBuffer BaseLayer
418 auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_SpaceToBatchNd);
419
420 std::vector<unsigned int> padList;
421 padList.reserve(spaceToBatchNdDescriptor.m_PadList.size()*2);
422 for (auto& pad : spaceToBatchNdDescriptor.m_PadList)
423 {
424 padList.push_back(pad.first);
425 padList.push_back(pad.second);
426 }
427
428 auto flatBufferDescriptor =
429 CreateSpaceToBatchNdDescriptor(m_flatBufferBuilder,
430 m_flatBufferBuilder.CreateVector(spaceToBatchNdDescriptor.m_BlockShape),
431 m_flatBufferBuilder.CreateVector(padList),
432 GetFlatBufferDataLayout(spaceToBatchNdDescriptor.m_DataLayout));
433
434 auto flatBufferLayer = serializer::CreateSpaceToBatchNdLayer(m_flatBufferBuilder,
435 flatBufferBaseLayer,
436 flatBufferDescriptor);
437
438 CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_SpaceToBatchNdLayer);
439}
440
Sadik Armagandbb0c0c2019-02-21 09:01:41 +0000441fb::Offset<serializer::LayerBase> SerializerVisitor::CreateLayerBase(const IConnectableLayer* layer,
Nattapat Chaimanowongac9cadc2019-02-13 15:52:41 +0000442 const serializer::LayerType layerType)
Mike Kelly8c1701a2019-02-11 17:01:27 +0000443{
444 std::vector<fb::Offset<serializer::InputSlot>> inputSlots = CreateInputSlots(layer);
445 std::vector<fb::Offset<serializer::OutputSlot>> outputSlots = CreateOutputSlots(layer);
446
447 return serializer::CreateLayerBase(m_flatBufferBuilder,
Saoirse Stewartcb8a3212019-02-14 15:46:10 +0000448 GetSerializedId(layer->GetGuid()),
Mike Kelly8c1701a2019-02-11 17:01:27 +0000449 m_flatBufferBuilder.CreateString(layer->GetName()),
450 layerType,
451 m_flatBufferBuilder.CreateVector(inputSlots),
452 m_flatBufferBuilder.CreateVector(outputSlots));
453}
454
Nattapat Chaimanowongac9cadc2019-02-13 15:52:41 +0000455void SerializerVisitor::CreateAnyLayer(const flatbuffers::Offset<void>& layer, const serializer::Layer serializerLayer)
Mike Kelly8c1701a2019-02-11 17:01:27 +0000456{
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000457 auto anyLayer = armnnSerializer::CreateAnyLayer(m_flatBufferBuilder, serializerLayer, layer);
Mike Kelly8c1701a2019-02-11 17:01:27 +0000458 m_serializedLayers.push_back(anyLayer);
459}
460
Mike Kellya0766c32019-02-19 17:22:07 +0000461template <typename T>
462flatbuffers::Offset<flatbuffers::Vector<T>> SerializerVisitor::CreateDataVector(const void* memory, unsigned int size)
463{
464 const T* buffer = reinterpret_cast<const T*>(memory);
465 std::vector<T> vector(buffer, buffer + (size / sizeof(T)));
466 auto fbVector = m_flatBufferBuilder.CreateVector(vector);
467 return fbVector;
468}
469
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000470flatbuffers::Offset<serializer::ConstTensor>
471 SerializerVisitor::CreateConstTensorInfo(const armnn::ConstTensor& constTensor)
Mike Kellya0766c32019-02-19 17:22:07 +0000472{
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000473 armnn::TensorInfo tensorInfo = constTensor.GetInfo();
Mike Kellya0766c32019-02-19 17:22:07 +0000474
475 // Get the dimensions
476 std::vector<unsigned int> shape;
477
478 for(unsigned int dim = 0; dim < tensorInfo.GetShape().GetNumDimensions(); ++dim)
479 {
480 shape.push_back(tensorInfo.GetShape()[dim]);
481 }
482
483 // Create FlatBuffer TensorInfo
484 auto flatBufferTensorInfo = serializer::CreateTensorInfo(m_flatBufferBuilder,
485 m_flatBufferBuilder.CreateVector(shape),
486 GetFlatBufferDataType(tensorInfo.GetDataType()),
487 tensorInfo.GetQuantizationScale(),
488 tensorInfo.GetQuantizationOffset());
489 flatbuffers::Offset<void> fbPayload;
490
491 switch (tensorInfo.GetDataType())
492 {
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000493 case armnn::DataType::Float32:
494 case armnn::DataType::Signed32:
Mike Kellya0766c32019-02-19 17:22:07 +0000495 {
496 auto fbVector = CreateDataVector<int32_t>(constTensor.GetMemoryArea(), constTensor.GetNumBytes());
497 flatbuffers::Offset<serializer::IntData> flatBuffersData = serializer::CreateIntData(
498 m_flatBufferBuilder,
499 fbVector);
500 fbPayload = flatBuffersData.o;
501 break;
502 }
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000503 case armnn::DataType::Float16:
Mike Kellya0766c32019-02-19 17:22:07 +0000504 {
505 auto fbVector = CreateDataVector<int16_t>(constTensor.GetMemoryArea(), constTensor.GetNumBytes());
506 flatbuffers::Offset<serializer::ShortData> flatBuffersData = serializer::CreateShortData(
507 m_flatBufferBuilder,
508 fbVector);
509 fbPayload = flatBuffersData.o;
510 break;
511 }
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000512 case armnn::DataType::QuantisedAsymm8:
513 case armnn::DataType::Boolean:
Mike Kellya0766c32019-02-19 17:22:07 +0000514 default:
515 {
516 auto fbVector = CreateDataVector<int8_t>(constTensor.GetMemoryArea(), constTensor.GetNumBytes());
517 flatbuffers::Offset<serializer::ByteData> flatBuffersData = serializer::CreateByteData(
518 m_flatBufferBuilder,
519 fbVector);
520 fbPayload = flatBuffersData.o;
521 }
522 }
523 flatbuffers::Offset<serializer::ConstTensor> flatBufferConstTensor = serializer::CreateConstTensor(
524 m_flatBufferBuilder,
525 flatBufferTensorInfo,
526 GetFlatBufferConstTensorData(tensorInfo.GetDataType()),
527 fbPayload);
528 return flatBufferConstTensor;
529}
530
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000531std::vector<fb::Offset<serializer::InputSlot>>
532 SerializerVisitor::CreateInputSlots(const armnn::IConnectableLayer* layer)
Mike Kelly8c1701a2019-02-11 17:01:27 +0000533{
Mike Kellya0766c32019-02-19 17:22:07 +0000534 std::vector<fb::Offset<serializer::InputSlot>> inputSlots;
Mike Kelly8c1701a2019-02-11 17:01:27 +0000535
536 // Get the InputSlots
537 for (unsigned int slotIndex = 0; slotIndex<layer->GetNumInputSlots(); ++slotIndex)
538 {
539 const IInputSlot& inputSlot = layer->GetInputSlot(slotIndex);
540
541 // Get the Connection for the InputSlot
542 const IOutputSlot* connection = inputSlot.GetConnection();
543
544 // Create FlatBuffer Connection
Saoirse Stewartcb8a3212019-02-14 15:46:10 +0000545 serializer::Connection conn(GetSerializedId(inputSlot.GetConnection()->GetOwningLayerGuid()),
546 connection->CalculateIndexOnOwner());
Mike Kelly8c1701a2019-02-11 17:01:27 +0000547 // Create FlatBuffer InputSlot
548 inputSlots.push_back(serializer::CreateInputSlot(m_flatBufferBuilder, slotIndex, &conn));
549 }
550 return inputSlots;
551}
552
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000553std::vector<fb::Offset<serializer::OutputSlot>>
554 SerializerVisitor::CreateOutputSlots(const armnn::IConnectableLayer* layer)
Mike Kelly8c1701a2019-02-11 17:01:27 +0000555{
556 std::vector<fb::Offset<serializer::OutputSlot>> outputSlots;
557
558 // Get the OutputSlots
559 for (unsigned int slotIndex = 0; slotIndex < layer->GetNumOutputSlots(); ++slotIndex)
560 {
561 const IOutputSlot& outputSlot = layer->GetOutputSlot(slotIndex);
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000562 const armnn::TensorInfo& tensorInfo = outputSlot.GetTensorInfo();
Mike Kelly8c1701a2019-02-11 17:01:27 +0000563
564 // Get the dimensions
565 std::vector<unsigned int> shape;
566 for(unsigned int dim = 0; dim < tensorInfo.GetShape().GetNumDimensions(); ++dim)
567 {
568 shape.push_back(tensorInfo.GetShape()[dim]);
569 }
570
571 // Create FlatBuffer TensorInfo
572 auto flatBufferTensorInfo = serializer::CreateTensorInfo(m_flatBufferBuilder,
573 m_flatBufferBuilder.CreateVector(shape),
574 GetFlatBufferDataType(tensorInfo.GetDataType()),
575 tensorInfo.GetQuantizationScale(),
576 tensorInfo.GetQuantizationOffset());
577
578 // Create FlatBuffer Outputslot
579 outputSlots.push_back(serializer::CreateOutputSlot(m_flatBufferBuilder,
580 slotIndex,
581 flatBufferTensorInfo));
582 }
583 return outputSlots;
584}
585
Nattapat Chaimanowongac9cadc2019-02-13 15:52:41 +0000586
587ISerializer* ISerializer::CreateRaw()
588{
589 return new Serializer();
590}
591
592ISerializerPtr ISerializer::Create()
593{
594 return ISerializerPtr(CreateRaw(), &ISerializer::Destroy);
595}
596
597void ISerializer::Destroy(ISerializer* serializer)
598{
599 delete serializer;
600}
601
602void Serializer::Serialize(const INetwork& inNetwork)
603{
604 // Iterate through to network
605 inNetwork.Accept(m_SerializerVisitor);
606 flatbuffers::FlatBufferBuilder& fbBuilder = m_SerializerVisitor.GetFlatBufferBuilder();
607
608 // Create FlatBuffer SerializedGraph
609 auto serializedGraph = serializer::CreateSerializedGraph(
610 fbBuilder,
611 fbBuilder.CreateVector(m_SerializerVisitor.GetSerializedLayers()),
612 fbBuilder.CreateVector(m_SerializerVisitor.GetInputIds()),
613 fbBuilder.CreateVector(m_SerializerVisitor.GetOutputIds()));
614
615 // Serialize the graph
616 fbBuilder.Finish(serializedGraph);
617}
618
619bool Serializer::SaveSerializedToStream(std::ostream& stream)
620{
621 flatbuffers::FlatBufferBuilder& fbBuilder = m_SerializerVisitor.GetFlatBufferBuilder();
622
Nattapat Chaimanowong7b53b692019-02-12 14:38:31 +0000623 auto bytesToWrite = boost::numeric_cast<std::streamsize>(fbBuilder.GetSize());
624 stream.write(reinterpret_cast<const char*>(fbBuilder.GetBufferPointer()), bytesToWrite);
Nattapat Chaimanowongac9cadc2019-02-13 15:52:41 +0000625 return !stream.bad();
626}
627
Matteo Martincighec333912019-02-13 15:12:39 +0000628} // namespace armnnSerializer