blob: 8b8a88dfbc66bde32bbbd5efa6ad48290b5e1d13 [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
Éanna Ó Catháin58885892019-02-27 16:16:39 +0000263void SerializerVisitor::VisitDivisionLayer(const armnn::IConnectableLayer* layer, const char* name)
264{
Aron Virginas-Tar0fe32452019-02-28 13:12:47 +0000265 auto fbDivisionBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Division);
266 auto fbDivisionLayer = serializer::CreateDivisionLayer(m_flatBufferBuilder, fbDivisionBaseLayer);
Éanna Ó Catháin58885892019-02-27 16:16:39 +0000267
Aron Virginas-Tar0fe32452019-02-28 13:12:47 +0000268 CreateAnyLayer(fbDivisionLayer.o, serializer::Layer::Layer_DivisionLayer);
269}
Éanna Ó Catháin58885892019-02-27 16:16:39 +0000270
Aron Virginas-Tar0fe32452019-02-28 13:12:47 +0000271void SerializerVisitor::VisitMinimumLayer(const armnn::IConnectableLayer* layer, const char* name)
272{
273 auto fbMinimumBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Minimum);
274 auto fbMinimumLayer = serializer::CreateMinimumLayer(m_flatBufferBuilder, fbMinimumBaseLayer);
275
276 CreateAnyLayer(fbMinimumLayer.o, serializer::Layer::Layer_MinimumLayer);
Éanna Ó Catháin58885892019-02-27 16:16:39 +0000277}
278
Sadik Armagan5f450272019-02-12 14:31:45 +0000279// Build FlatBuffer for Multiplication Layer
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000280void SerializerVisitor::VisitMultiplicationLayer(const armnn::IConnectableLayer* layer, const char* name)
Sadik Armagan5f450272019-02-12 14:31:45 +0000281{
282 // Create FlatBuffer BaseLayer
283 auto flatBufferMultiplicationBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Multiplication);
284
285 // Create the FlatBuffer MultiplicationLayer
286 auto flatBufferMultiplicationLayer =
287 serializer::CreateMultiplicationLayer(m_flatBufferBuilder, flatBufferMultiplicationBaseLayer);
288
289 // Add the AnyLayer to the FlatBufferLayers
290 CreateAnyLayer(flatBufferMultiplicationLayer.o, serializer::Layer::Layer_MultiplicationLayer);
291}
292
Nattapat Chaimanowong30b00202019-02-20 17:31:34 +0000293void SerializerVisitor::VisitPermuteLayer(const armnn::IConnectableLayer* layer,
294 const armnn::PermuteDescriptor& permuteDescriptor,
295 const char* name)
296{
297 // Create FlatBuffer BaseLayer
298 auto flatBufferPermuteBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Permute);
299
300 std::vector<unsigned int> dimMappings;
301 for (auto& v: permuteDescriptor.m_DimMappings)
302 {
303 dimMappings.push_back(v);
304 }
305
306 auto flatBufferPermuteDesc = serializer::CreatePermuteDescriptor(m_flatBufferBuilder,
307 m_flatBufferBuilder.CreateVector(dimMappings));
308
309 // Create the FlatBuffer PermuteLayer
310 auto flatBufferPermuteLayer = serializer::CreatePermuteLayer(m_flatBufferBuilder,
311 flatBufferPermuteBaseLayer,
312 flatBufferPermuteDesc);
313
314 // Add the AnyLayer to the FlatBufferLayers
315 CreateAnyLayer(flatBufferPermuteLayer.o, serializer::Layer::Layer_PermuteLayer);
316}
317
Saoirse Stewart263829c2019-02-19 15:54:14 +0000318// Build FlatBuffer for Reshape Layer
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000319void SerializerVisitor::VisitReshapeLayer(const armnn::IConnectableLayer* layer,
Saoirse Stewart263829c2019-02-19 15:54:14 +0000320 const armnn::ReshapeDescriptor& reshapeDescriptor,
321 const char* name)
322{
323 // Create FlatBuffer BaseLayer
324 auto flatBufferReshapeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Reshape);
325
326 std::vector<unsigned int> targetShape;
327 for (unsigned int i =0; i < reshapeDescriptor.m_TargetShape.GetNumDimensions(); i++)
328 {
329 targetShape.push_back(reshapeDescriptor.m_TargetShape[i]);
330 }
331
332 auto flatBufferReshapeDesc = serializer::CreateReshapeDescriptor(m_flatBufferBuilder,
333 m_flatBufferBuilder.CreateVector(targetShape));
334
335 // Create the FlatBuffer ReshapeLayer
336 auto flatBufferReshapeLayer = serializer::CreateReshapeLayer(m_flatBufferBuilder, flatBufferReshapeBaseLayer,
337 flatBufferReshapeDesc);
338
339 // Add the AnyLayer to the FlatBufferLayers
340 CreateAnyLayer(flatBufferReshapeLayer.o, serializer::Layer::Layer_ReshapeLayer);
341}
342
Aron Virginas-Tarfc413c02019-02-13 15:41:52 +0000343// Build FlatBuffer for Softmax Layer
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000344void SerializerVisitor::VisitSoftmaxLayer(const armnn::IConnectableLayer* layer,
345 const armnn::SoftmaxDescriptor& softmaxDescriptor,
Aron Virginas-Tarfc413c02019-02-13 15:41:52 +0000346 const char* name)
347{
348 // Create FlatBuffer BaseLayer
349 auto flatBufferSoftmaxBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Softmax);
350
351 // Create the FlatBuffer SoftmaxDescriptor
352 auto flatBufferSoftmaxDesc =
353 serializer::CreateSoftmaxDescriptor(m_flatBufferBuilder, softmaxDescriptor.m_Beta);
354
355 // Create the FlatBuffer SoftmaxLayer
356 auto flatBufferSoftmaxLayer =
357 serializer::CreateSoftmaxLayer(m_flatBufferBuilder,
358 flatBufferSoftmaxBaseLayer,
359 flatBufferSoftmaxDesc);
360
361 CreateAnyLayer(flatBufferSoftmaxLayer.o, serializer::Layer::Layer_SoftmaxLayer);
362}
363
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000364void SerializerVisitor::VisitPooling2dLayer(const armnn::IConnectableLayer* layer,
365 const armnn::Pooling2dDescriptor& pooling2dDescriptor,
Saoirse Stewart3166c3e2019-02-18 15:24:53 +0000366 const char* name)
367{
368 auto fbPooling2dBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Pooling2d);
369 auto fbPooling2dDescriptor = serializer::CreatePooling2dDescriptor(
370 m_flatBufferBuilder,
371 GetFlatBufferPoolingAlgorithm(pooling2dDescriptor.m_PoolType),
372 pooling2dDescriptor.m_PadLeft,
373 pooling2dDescriptor.m_PadRight,
374 pooling2dDescriptor.m_PadTop,
375 pooling2dDescriptor.m_PadBottom,
376 pooling2dDescriptor.m_PoolWidth,
377 pooling2dDescriptor.m_PoolHeight,
378 pooling2dDescriptor.m_StrideX,
379 pooling2dDescriptor.m_StrideY,
380 GetFlatBufferOutputShapeRounding(pooling2dDescriptor.m_OutputShapeRounding),
381 GetFlatBufferPaddingMethod(pooling2dDescriptor.m_PaddingMethod),
382 GetFlatBufferDataLayout(pooling2dDescriptor.m_DataLayout));
383
384 auto fbPooling2dLayer = serializer::CreatePooling2dLayer(m_flatBufferBuilder,
385 fbPooling2dBaseLayer,
386 fbPooling2dDescriptor);
387
388 CreateAnyLayer(fbPooling2dLayer.o, serializer::Layer::Layer_Pooling2dLayer);
389}
390
Sadik Armagandbb0c0c2019-02-21 09:01:41 +0000391// Build FlatBuffer for FullyConnected Layer
392void SerializerVisitor::VisitFullyConnectedLayer(const armnn::IConnectableLayer* layer,
393 const armnn::FullyConnectedDescriptor& fullyConnectedDescriptor,
394 const armnn::ConstTensor& weights,
395 const armnn::Optional<armnn::ConstTensor>& biases,
396 const char* name)
397{
398 // Create FlatBuffer BaseLayer
399 auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_FullyConnected);
400
401 // Create FlatBuffer FullyConnectedDescriptor
402 auto flatBufferDescriptor =
403 serializer::CreateFullyConnectedDescriptor(m_flatBufferBuilder,
404 fullyConnectedDescriptor.m_BiasEnabled,
405 fullyConnectedDescriptor.m_TransposeWeightMatrix);
406
407 // Create FlatBuffer weights data
408 auto flatBufferWeights = CreateConstTensorInfo(weights);
409
410 // Create FlatBuffer bias data
411 flatbuffers::Offset<serializer::ConstTensor> flatBufferBiases;
412 if (fullyConnectedDescriptor.m_BiasEnabled)
413 {
414 flatBufferBiases = CreateConstTensorInfo(biases.value());
415 }
416
417 // Create FlatBuffer FullyConnectedLayer
418 auto flatBufferLayer = serializer::CreateFullyConnectedLayer(m_flatBufferBuilder,
419 flatBufferBaseLayer,
420 flatBufferDescriptor,
421 flatBufferWeights,
422 flatBufferBiases);
423
424 // Add created FullyConnectedLayer to the FlatBufferLayers
425 CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_FullyConnectedLayer);
426}
427
Nattapat Chaimanowong45286992019-02-26 15:53:02 +0000428// Build FlatBuffer for SpaceToBatchNd Layer
429void SerializerVisitor::VisitSpaceToBatchNdLayer(const armnn::IConnectableLayer* layer,
430 const armnn::SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor,
431 const char* name)
432{
433 // Create FlatBuffer BaseLayer
434 auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_SpaceToBatchNd);
435
436 std::vector<unsigned int> padList;
437 padList.reserve(spaceToBatchNdDescriptor.m_PadList.size()*2);
438 for (auto& pad : spaceToBatchNdDescriptor.m_PadList)
439 {
440 padList.push_back(pad.first);
441 padList.push_back(pad.second);
442 }
443
444 auto flatBufferDescriptor =
445 CreateSpaceToBatchNdDescriptor(m_flatBufferBuilder,
446 m_flatBufferBuilder.CreateVector(spaceToBatchNdDescriptor.m_BlockShape),
447 m_flatBufferBuilder.CreateVector(padList),
448 GetFlatBufferDataLayout(spaceToBatchNdDescriptor.m_DataLayout));
449
450 auto flatBufferLayer = serializer::CreateSpaceToBatchNdLayer(m_flatBufferBuilder,
451 flatBufferBaseLayer,
452 flatBufferDescriptor);
453
454 CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_SpaceToBatchNdLayer);
455}
456
Sadik Armagandbb0c0c2019-02-21 09:01:41 +0000457fb::Offset<serializer::LayerBase> SerializerVisitor::CreateLayerBase(const IConnectableLayer* layer,
Nattapat Chaimanowongac9cadc2019-02-13 15:52:41 +0000458 const serializer::LayerType layerType)
Mike Kelly8c1701a2019-02-11 17:01:27 +0000459{
460 std::vector<fb::Offset<serializer::InputSlot>> inputSlots = CreateInputSlots(layer);
461 std::vector<fb::Offset<serializer::OutputSlot>> outputSlots = CreateOutputSlots(layer);
462
463 return serializer::CreateLayerBase(m_flatBufferBuilder,
Saoirse Stewartcb8a3212019-02-14 15:46:10 +0000464 GetSerializedId(layer->GetGuid()),
Mike Kelly8c1701a2019-02-11 17:01:27 +0000465 m_flatBufferBuilder.CreateString(layer->GetName()),
466 layerType,
467 m_flatBufferBuilder.CreateVector(inputSlots),
468 m_flatBufferBuilder.CreateVector(outputSlots));
469}
470
Nattapat Chaimanowongac9cadc2019-02-13 15:52:41 +0000471void SerializerVisitor::CreateAnyLayer(const flatbuffers::Offset<void>& layer, const serializer::Layer serializerLayer)
Mike Kelly8c1701a2019-02-11 17:01:27 +0000472{
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000473 auto anyLayer = armnnSerializer::CreateAnyLayer(m_flatBufferBuilder, serializerLayer, layer);
Mike Kelly8c1701a2019-02-11 17:01:27 +0000474 m_serializedLayers.push_back(anyLayer);
475}
476
Mike Kellya0766c32019-02-19 17:22:07 +0000477template <typename T>
478flatbuffers::Offset<flatbuffers::Vector<T>> SerializerVisitor::CreateDataVector(const void* memory, unsigned int size)
479{
480 const T* buffer = reinterpret_cast<const T*>(memory);
481 std::vector<T> vector(buffer, buffer + (size / sizeof(T)));
482 auto fbVector = m_flatBufferBuilder.CreateVector(vector);
483 return fbVector;
484}
485
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000486flatbuffers::Offset<serializer::ConstTensor>
487 SerializerVisitor::CreateConstTensorInfo(const armnn::ConstTensor& constTensor)
Mike Kellya0766c32019-02-19 17:22:07 +0000488{
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000489 armnn::TensorInfo tensorInfo = constTensor.GetInfo();
Mike Kellya0766c32019-02-19 17:22:07 +0000490
491 // Get the dimensions
492 std::vector<unsigned int> shape;
493
494 for(unsigned int dim = 0; dim < tensorInfo.GetShape().GetNumDimensions(); ++dim)
495 {
496 shape.push_back(tensorInfo.GetShape()[dim]);
497 }
498
499 // Create FlatBuffer TensorInfo
500 auto flatBufferTensorInfo = serializer::CreateTensorInfo(m_flatBufferBuilder,
501 m_flatBufferBuilder.CreateVector(shape),
502 GetFlatBufferDataType(tensorInfo.GetDataType()),
503 tensorInfo.GetQuantizationScale(),
504 tensorInfo.GetQuantizationOffset());
505 flatbuffers::Offset<void> fbPayload;
506
507 switch (tensorInfo.GetDataType())
508 {
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000509 case armnn::DataType::Float32:
510 case armnn::DataType::Signed32:
Mike Kellya0766c32019-02-19 17:22:07 +0000511 {
512 auto fbVector = CreateDataVector<int32_t>(constTensor.GetMemoryArea(), constTensor.GetNumBytes());
513 flatbuffers::Offset<serializer::IntData> flatBuffersData = serializer::CreateIntData(
514 m_flatBufferBuilder,
515 fbVector);
516 fbPayload = flatBuffersData.o;
517 break;
518 }
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000519 case armnn::DataType::Float16:
Mike Kellya0766c32019-02-19 17:22:07 +0000520 {
521 auto fbVector = CreateDataVector<int16_t>(constTensor.GetMemoryArea(), constTensor.GetNumBytes());
522 flatbuffers::Offset<serializer::ShortData> flatBuffersData = serializer::CreateShortData(
523 m_flatBufferBuilder,
524 fbVector);
525 fbPayload = flatBuffersData.o;
526 break;
527 }
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000528 case armnn::DataType::QuantisedAsymm8:
529 case armnn::DataType::Boolean:
Mike Kellya0766c32019-02-19 17:22:07 +0000530 default:
531 {
532 auto fbVector = CreateDataVector<int8_t>(constTensor.GetMemoryArea(), constTensor.GetNumBytes());
533 flatbuffers::Offset<serializer::ByteData> flatBuffersData = serializer::CreateByteData(
534 m_flatBufferBuilder,
535 fbVector);
536 fbPayload = flatBuffersData.o;
537 }
538 }
539 flatbuffers::Offset<serializer::ConstTensor> flatBufferConstTensor = serializer::CreateConstTensor(
540 m_flatBufferBuilder,
541 flatBufferTensorInfo,
542 GetFlatBufferConstTensorData(tensorInfo.GetDataType()),
543 fbPayload);
544 return flatBufferConstTensor;
545}
546
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000547std::vector<fb::Offset<serializer::InputSlot>>
548 SerializerVisitor::CreateInputSlots(const armnn::IConnectableLayer* layer)
Mike Kelly8c1701a2019-02-11 17:01:27 +0000549{
Mike Kellya0766c32019-02-19 17:22:07 +0000550 std::vector<fb::Offset<serializer::InputSlot>> inputSlots;
Mike Kelly8c1701a2019-02-11 17:01:27 +0000551
552 // Get the InputSlots
553 for (unsigned int slotIndex = 0; slotIndex<layer->GetNumInputSlots(); ++slotIndex)
554 {
555 const IInputSlot& inputSlot = layer->GetInputSlot(slotIndex);
556
557 // Get the Connection for the InputSlot
558 const IOutputSlot* connection = inputSlot.GetConnection();
559
560 // Create FlatBuffer Connection
Saoirse Stewartcb8a3212019-02-14 15:46:10 +0000561 serializer::Connection conn(GetSerializedId(inputSlot.GetConnection()->GetOwningLayerGuid()),
562 connection->CalculateIndexOnOwner());
Mike Kelly8c1701a2019-02-11 17:01:27 +0000563 // Create FlatBuffer InputSlot
564 inputSlots.push_back(serializer::CreateInputSlot(m_flatBufferBuilder, slotIndex, &conn));
565 }
566 return inputSlots;
567}
568
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000569std::vector<fb::Offset<serializer::OutputSlot>>
570 SerializerVisitor::CreateOutputSlots(const armnn::IConnectableLayer* layer)
Mike Kelly8c1701a2019-02-11 17:01:27 +0000571{
572 std::vector<fb::Offset<serializer::OutputSlot>> outputSlots;
573
574 // Get the OutputSlots
575 for (unsigned int slotIndex = 0; slotIndex < layer->GetNumOutputSlots(); ++slotIndex)
576 {
577 const IOutputSlot& outputSlot = layer->GetOutputSlot(slotIndex);
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000578 const armnn::TensorInfo& tensorInfo = outputSlot.GetTensorInfo();
Mike Kelly8c1701a2019-02-11 17:01:27 +0000579
580 // Get the dimensions
581 std::vector<unsigned int> shape;
582 for(unsigned int dim = 0; dim < tensorInfo.GetShape().GetNumDimensions(); ++dim)
583 {
584 shape.push_back(tensorInfo.GetShape()[dim]);
585 }
586
587 // Create FlatBuffer TensorInfo
588 auto flatBufferTensorInfo = serializer::CreateTensorInfo(m_flatBufferBuilder,
589 m_flatBufferBuilder.CreateVector(shape),
590 GetFlatBufferDataType(tensorInfo.GetDataType()),
591 tensorInfo.GetQuantizationScale(),
592 tensorInfo.GetQuantizationOffset());
593
594 // Create FlatBuffer Outputslot
595 outputSlots.push_back(serializer::CreateOutputSlot(m_flatBufferBuilder,
596 slotIndex,
597 flatBufferTensorInfo));
598 }
599 return outputSlots;
600}
601
Nattapat Chaimanowongac9cadc2019-02-13 15:52:41 +0000602
603ISerializer* ISerializer::CreateRaw()
604{
605 return new Serializer();
606}
607
608ISerializerPtr ISerializer::Create()
609{
610 return ISerializerPtr(CreateRaw(), &ISerializer::Destroy);
611}
612
613void ISerializer::Destroy(ISerializer* serializer)
614{
615 delete serializer;
616}
617
618void Serializer::Serialize(const INetwork& inNetwork)
619{
620 // Iterate through to network
621 inNetwork.Accept(m_SerializerVisitor);
622 flatbuffers::FlatBufferBuilder& fbBuilder = m_SerializerVisitor.GetFlatBufferBuilder();
623
624 // Create FlatBuffer SerializedGraph
625 auto serializedGraph = serializer::CreateSerializedGraph(
626 fbBuilder,
627 fbBuilder.CreateVector(m_SerializerVisitor.GetSerializedLayers()),
628 fbBuilder.CreateVector(m_SerializerVisitor.GetInputIds()),
629 fbBuilder.CreateVector(m_SerializerVisitor.GetOutputIds()));
630
631 // Serialize the graph
632 fbBuilder.Finish(serializedGraph);
633}
634
635bool Serializer::SaveSerializedToStream(std::ostream& stream)
636{
637 flatbuffers::FlatBufferBuilder& fbBuilder = m_SerializerVisitor.GetFlatBufferBuilder();
638
Nattapat Chaimanowong7b53b692019-02-12 14:38:31 +0000639 auto bytesToWrite = boost::numeric_cast<std::streamsize>(fbBuilder.GetSize());
640 stream.write(reinterpret_cast<const char*>(fbBuilder.GetBufferPointer()), bytesToWrite);
Nattapat Chaimanowongac9cadc2019-02-13 15:52:41 +0000641 return !stream.bad();
642}
643
Matteo Martincighec333912019-02-13 15:12:39 +0000644} // namespace armnnSerializer