blob: 5165d178ec9d3ff6c3b26069f467964c241b2cb6 [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 +0000263// Build FlatBuffer for Division Layer
264void SerializerVisitor::VisitDivisionLayer(const armnn::IConnectableLayer* layer, const char* name)
265{
266 // Create FlatBuffer BaseLayer
267 auto flatBufferDivisionBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Division);
268
269 // Create the FlatBuffer DivisionLayer
270 auto flatBufferDivisionLayer =
271 serializer::CreateDivisionLayer(m_flatBufferBuilder, flatBufferDivisionBaseLayer);
272
273 // Add the AnyLayer to the FlatBufferLayers
274 CreateAnyLayer(flatBufferDivisionLayer.o, serializer::Layer::Layer_DivisionLayer);
275}
276
Sadik Armagan5f450272019-02-12 14:31:45 +0000277// Build FlatBuffer for Multiplication Layer
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000278void SerializerVisitor::VisitMultiplicationLayer(const armnn::IConnectableLayer* layer, const char* name)
Sadik Armagan5f450272019-02-12 14:31:45 +0000279{
280 // Create FlatBuffer BaseLayer
281 auto flatBufferMultiplicationBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Multiplication);
282
283 // Create the FlatBuffer MultiplicationLayer
284 auto flatBufferMultiplicationLayer =
285 serializer::CreateMultiplicationLayer(m_flatBufferBuilder, flatBufferMultiplicationBaseLayer);
286
287 // Add the AnyLayer to the FlatBufferLayers
288 CreateAnyLayer(flatBufferMultiplicationLayer.o, serializer::Layer::Layer_MultiplicationLayer);
289}
290
Nattapat Chaimanowong30b00202019-02-20 17:31:34 +0000291void SerializerVisitor::VisitPermuteLayer(const armnn::IConnectableLayer* layer,
292 const armnn::PermuteDescriptor& permuteDescriptor,
293 const char* name)
294{
295 // Create FlatBuffer BaseLayer
296 auto flatBufferPermuteBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Permute);
297
298 std::vector<unsigned int> dimMappings;
299 for (auto& v: permuteDescriptor.m_DimMappings)
300 {
301 dimMappings.push_back(v);
302 }
303
304 auto flatBufferPermuteDesc = serializer::CreatePermuteDescriptor(m_flatBufferBuilder,
305 m_flatBufferBuilder.CreateVector(dimMappings));
306
307 // Create the FlatBuffer PermuteLayer
308 auto flatBufferPermuteLayer = serializer::CreatePermuteLayer(m_flatBufferBuilder,
309 flatBufferPermuteBaseLayer,
310 flatBufferPermuteDesc);
311
312 // Add the AnyLayer to the FlatBufferLayers
313 CreateAnyLayer(flatBufferPermuteLayer.o, serializer::Layer::Layer_PermuteLayer);
314}
315
Saoirse Stewart263829c2019-02-19 15:54:14 +0000316// Build FlatBuffer for Reshape Layer
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000317void SerializerVisitor::VisitReshapeLayer(const armnn::IConnectableLayer* layer,
Saoirse Stewart263829c2019-02-19 15:54:14 +0000318 const armnn::ReshapeDescriptor& reshapeDescriptor,
319 const char* name)
320{
321 // Create FlatBuffer BaseLayer
322 auto flatBufferReshapeBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Reshape);
323
324 std::vector<unsigned int> targetShape;
325 for (unsigned int i =0; i < reshapeDescriptor.m_TargetShape.GetNumDimensions(); i++)
326 {
327 targetShape.push_back(reshapeDescriptor.m_TargetShape[i]);
328 }
329
330 auto flatBufferReshapeDesc = serializer::CreateReshapeDescriptor(m_flatBufferBuilder,
331 m_flatBufferBuilder.CreateVector(targetShape));
332
333 // Create the FlatBuffer ReshapeLayer
334 auto flatBufferReshapeLayer = serializer::CreateReshapeLayer(m_flatBufferBuilder, flatBufferReshapeBaseLayer,
335 flatBufferReshapeDesc);
336
337 // Add the AnyLayer to the FlatBufferLayers
338 CreateAnyLayer(flatBufferReshapeLayer.o, serializer::Layer::Layer_ReshapeLayer);
339}
340
Aron Virginas-Tarfc413c02019-02-13 15:41:52 +0000341// Build FlatBuffer for Softmax Layer
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000342void SerializerVisitor::VisitSoftmaxLayer(const armnn::IConnectableLayer* layer,
343 const armnn::SoftmaxDescriptor& softmaxDescriptor,
Aron Virginas-Tarfc413c02019-02-13 15:41:52 +0000344 const char* name)
345{
346 // Create FlatBuffer BaseLayer
347 auto flatBufferSoftmaxBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Softmax);
348
349 // Create the FlatBuffer SoftmaxDescriptor
350 auto flatBufferSoftmaxDesc =
351 serializer::CreateSoftmaxDescriptor(m_flatBufferBuilder, softmaxDescriptor.m_Beta);
352
353 // Create the FlatBuffer SoftmaxLayer
354 auto flatBufferSoftmaxLayer =
355 serializer::CreateSoftmaxLayer(m_flatBufferBuilder,
356 flatBufferSoftmaxBaseLayer,
357 flatBufferSoftmaxDesc);
358
359 CreateAnyLayer(flatBufferSoftmaxLayer.o, serializer::Layer::Layer_SoftmaxLayer);
360}
361
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000362void SerializerVisitor::VisitPooling2dLayer(const armnn::IConnectableLayer* layer,
363 const armnn::Pooling2dDescriptor& pooling2dDescriptor,
Saoirse Stewart3166c3e2019-02-18 15:24:53 +0000364 const char* name)
365{
366 auto fbPooling2dBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_Pooling2d);
367 auto fbPooling2dDescriptor = serializer::CreatePooling2dDescriptor(
368 m_flatBufferBuilder,
369 GetFlatBufferPoolingAlgorithm(pooling2dDescriptor.m_PoolType),
370 pooling2dDescriptor.m_PadLeft,
371 pooling2dDescriptor.m_PadRight,
372 pooling2dDescriptor.m_PadTop,
373 pooling2dDescriptor.m_PadBottom,
374 pooling2dDescriptor.m_PoolWidth,
375 pooling2dDescriptor.m_PoolHeight,
376 pooling2dDescriptor.m_StrideX,
377 pooling2dDescriptor.m_StrideY,
378 GetFlatBufferOutputShapeRounding(pooling2dDescriptor.m_OutputShapeRounding),
379 GetFlatBufferPaddingMethod(pooling2dDescriptor.m_PaddingMethod),
380 GetFlatBufferDataLayout(pooling2dDescriptor.m_DataLayout));
381
382 auto fbPooling2dLayer = serializer::CreatePooling2dLayer(m_flatBufferBuilder,
383 fbPooling2dBaseLayer,
384 fbPooling2dDescriptor);
385
386 CreateAnyLayer(fbPooling2dLayer.o, serializer::Layer::Layer_Pooling2dLayer);
387}
388
Sadik Armagandbb0c0c2019-02-21 09:01:41 +0000389// Build FlatBuffer for FullyConnected Layer
390void SerializerVisitor::VisitFullyConnectedLayer(const armnn::IConnectableLayer* layer,
391 const armnn::FullyConnectedDescriptor& fullyConnectedDescriptor,
392 const armnn::ConstTensor& weights,
393 const armnn::Optional<armnn::ConstTensor>& biases,
394 const char* name)
395{
396 // Create FlatBuffer BaseLayer
397 auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_FullyConnected);
398
399 // Create FlatBuffer FullyConnectedDescriptor
400 auto flatBufferDescriptor =
401 serializer::CreateFullyConnectedDescriptor(m_flatBufferBuilder,
402 fullyConnectedDescriptor.m_BiasEnabled,
403 fullyConnectedDescriptor.m_TransposeWeightMatrix);
404
405 // Create FlatBuffer weights data
406 auto flatBufferWeights = CreateConstTensorInfo(weights);
407
408 // Create FlatBuffer bias data
409 flatbuffers::Offset<serializer::ConstTensor> flatBufferBiases;
410 if (fullyConnectedDescriptor.m_BiasEnabled)
411 {
412 flatBufferBiases = CreateConstTensorInfo(biases.value());
413 }
414
415 // Create FlatBuffer FullyConnectedLayer
416 auto flatBufferLayer = serializer::CreateFullyConnectedLayer(m_flatBufferBuilder,
417 flatBufferBaseLayer,
418 flatBufferDescriptor,
419 flatBufferWeights,
420 flatBufferBiases);
421
422 // Add created FullyConnectedLayer to the FlatBufferLayers
423 CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_FullyConnectedLayer);
424}
425
Nattapat Chaimanowong45286992019-02-26 15:53:02 +0000426// Build FlatBuffer for SpaceToBatchNd Layer
427void SerializerVisitor::VisitSpaceToBatchNdLayer(const armnn::IConnectableLayer* layer,
428 const armnn::SpaceToBatchNdDescriptor& spaceToBatchNdDescriptor,
429 const char* name)
430{
431 // Create FlatBuffer BaseLayer
432 auto flatBufferBaseLayer = CreateLayerBase(layer, serializer::LayerType::LayerType_SpaceToBatchNd);
433
434 std::vector<unsigned int> padList;
435 padList.reserve(spaceToBatchNdDescriptor.m_PadList.size()*2);
436 for (auto& pad : spaceToBatchNdDescriptor.m_PadList)
437 {
438 padList.push_back(pad.first);
439 padList.push_back(pad.second);
440 }
441
442 auto flatBufferDescriptor =
443 CreateSpaceToBatchNdDescriptor(m_flatBufferBuilder,
444 m_flatBufferBuilder.CreateVector(spaceToBatchNdDescriptor.m_BlockShape),
445 m_flatBufferBuilder.CreateVector(padList),
446 GetFlatBufferDataLayout(spaceToBatchNdDescriptor.m_DataLayout));
447
448 auto flatBufferLayer = serializer::CreateSpaceToBatchNdLayer(m_flatBufferBuilder,
449 flatBufferBaseLayer,
450 flatBufferDescriptor);
451
452 CreateAnyLayer(flatBufferLayer.o, serializer::Layer::Layer_SpaceToBatchNdLayer);
453}
454
Sadik Armagandbb0c0c2019-02-21 09:01:41 +0000455fb::Offset<serializer::LayerBase> SerializerVisitor::CreateLayerBase(const IConnectableLayer* layer,
Nattapat Chaimanowongac9cadc2019-02-13 15:52:41 +0000456 const serializer::LayerType layerType)
Mike Kelly8c1701a2019-02-11 17:01:27 +0000457{
458 std::vector<fb::Offset<serializer::InputSlot>> inputSlots = CreateInputSlots(layer);
459 std::vector<fb::Offset<serializer::OutputSlot>> outputSlots = CreateOutputSlots(layer);
460
461 return serializer::CreateLayerBase(m_flatBufferBuilder,
Saoirse Stewartcb8a3212019-02-14 15:46:10 +0000462 GetSerializedId(layer->GetGuid()),
Mike Kelly8c1701a2019-02-11 17:01:27 +0000463 m_flatBufferBuilder.CreateString(layer->GetName()),
464 layerType,
465 m_flatBufferBuilder.CreateVector(inputSlots),
466 m_flatBufferBuilder.CreateVector(outputSlots));
467}
468
Nattapat Chaimanowongac9cadc2019-02-13 15:52:41 +0000469void SerializerVisitor::CreateAnyLayer(const flatbuffers::Offset<void>& layer, const serializer::Layer serializerLayer)
Mike Kelly8c1701a2019-02-11 17:01:27 +0000470{
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000471 auto anyLayer = armnnSerializer::CreateAnyLayer(m_flatBufferBuilder, serializerLayer, layer);
Mike Kelly8c1701a2019-02-11 17:01:27 +0000472 m_serializedLayers.push_back(anyLayer);
473}
474
Mike Kellya0766c32019-02-19 17:22:07 +0000475template <typename T>
476flatbuffers::Offset<flatbuffers::Vector<T>> SerializerVisitor::CreateDataVector(const void* memory, unsigned int size)
477{
478 const T* buffer = reinterpret_cast<const T*>(memory);
479 std::vector<T> vector(buffer, buffer + (size / sizeof(T)));
480 auto fbVector = m_flatBufferBuilder.CreateVector(vector);
481 return fbVector;
482}
483
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000484flatbuffers::Offset<serializer::ConstTensor>
485 SerializerVisitor::CreateConstTensorInfo(const armnn::ConstTensor& constTensor)
Mike Kellya0766c32019-02-19 17:22:07 +0000486{
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000487 armnn::TensorInfo tensorInfo = constTensor.GetInfo();
Mike Kellya0766c32019-02-19 17:22:07 +0000488
489 // Get the dimensions
490 std::vector<unsigned int> shape;
491
492 for(unsigned int dim = 0; dim < tensorInfo.GetShape().GetNumDimensions(); ++dim)
493 {
494 shape.push_back(tensorInfo.GetShape()[dim]);
495 }
496
497 // Create FlatBuffer TensorInfo
498 auto flatBufferTensorInfo = serializer::CreateTensorInfo(m_flatBufferBuilder,
499 m_flatBufferBuilder.CreateVector(shape),
500 GetFlatBufferDataType(tensorInfo.GetDataType()),
501 tensorInfo.GetQuantizationScale(),
502 tensorInfo.GetQuantizationOffset());
503 flatbuffers::Offset<void> fbPayload;
504
505 switch (tensorInfo.GetDataType())
506 {
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000507 case armnn::DataType::Float32:
508 case armnn::DataType::Signed32:
Mike Kellya0766c32019-02-19 17:22:07 +0000509 {
510 auto fbVector = CreateDataVector<int32_t>(constTensor.GetMemoryArea(), constTensor.GetNumBytes());
511 flatbuffers::Offset<serializer::IntData> flatBuffersData = serializer::CreateIntData(
512 m_flatBufferBuilder,
513 fbVector);
514 fbPayload = flatBuffersData.o;
515 break;
516 }
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000517 case armnn::DataType::Float16:
Mike Kellya0766c32019-02-19 17:22:07 +0000518 {
519 auto fbVector = CreateDataVector<int16_t>(constTensor.GetMemoryArea(), constTensor.GetNumBytes());
520 flatbuffers::Offset<serializer::ShortData> flatBuffersData = serializer::CreateShortData(
521 m_flatBufferBuilder,
522 fbVector);
523 fbPayload = flatBuffersData.o;
524 break;
525 }
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000526 case armnn::DataType::QuantisedAsymm8:
527 case armnn::DataType::Boolean:
Mike Kellya0766c32019-02-19 17:22:07 +0000528 default:
529 {
530 auto fbVector = CreateDataVector<int8_t>(constTensor.GetMemoryArea(), constTensor.GetNumBytes());
531 flatbuffers::Offset<serializer::ByteData> flatBuffersData = serializer::CreateByteData(
532 m_flatBufferBuilder,
533 fbVector);
534 fbPayload = flatBuffersData.o;
535 }
536 }
537 flatbuffers::Offset<serializer::ConstTensor> flatBufferConstTensor = serializer::CreateConstTensor(
538 m_flatBufferBuilder,
539 flatBufferTensorInfo,
540 GetFlatBufferConstTensorData(tensorInfo.GetDataType()),
541 fbPayload);
542 return flatBufferConstTensor;
543}
544
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000545std::vector<fb::Offset<serializer::InputSlot>>
546 SerializerVisitor::CreateInputSlots(const armnn::IConnectableLayer* layer)
Mike Kelly8c1701a2019-02-11 17:01:27 +0000547{
Mike Kellya0766c32019-02-19 17:22:07 +0000548 std::vector<fb::Offset<serializer::InputSlot>> inputSlots;
Mike Kelly8c1701a2019-02-11 17:01:27 +0000549
550 // Get the InputSlots
551 for (unsigned int slotIndex = 0; slotIndex<layer->GetNumInputSlots(); ++slotIndex)
552 {
553 const IInputSlot& inputSlot = layer->GetInputSlot(slotIndex);
554
555 // Get the Connection for the InputSlot
556 const IOutputSlot* connection = inputSlot.GetConnection();
557
558 // Create FlatBuffer Connection
Saoirse Stewartcb8a3212019-02-14 15:46:10 +0000559 serializer::Connection conn(GetSerializedId(inputSlot.GetConnection()->GetOwningLayerGuid()),
560 connection->CalculateIndexOnOwner());
Mike Kelly8c1701a2019-02-11 17:01:27 +0000561 // Create FlatBuffer InputSlot
562 inputSlots.push_back(serializer::CreateInputSlot(m_flatBufferBuilder, slotIndex, &conn));
563 }
564 return inputSlots;
565}
566
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000567std::vector<fb::Offset<serializer::OutputSlot>>
568 SerializerVisitor::CreateOutputSlots(const armnn::IConnectableLayer* layer)
Mike Kelly8c1701a2019-02-11 17:01:27 +0000569{
570 std::vector<fb::Offset<serializer::OutputSlot>> outputSlots;
571
572 // Get the OutputSlots
573 for (unsigned int slotIndex = 0; slotIndex < layer->GetNumOutputSlots(); ++slotIndex)
574 {
575 const IOutputSlot& outputSlot = layer->GetOutputSlot(slotIndex);
Derek Lamberti0028d1b2019-02-20 13:57:42 +0000576 const armnn::TensorInfo& tensorInfo = outputSlot.GetTensorInfo();
Mike Kelly8c1701a2019-02-11 17:01:27 +0000577
578 // Get the dimensions
579 std::vector<unsigned int> shape;
580 for(unsigned int dim = 0; dim < tensorInfo.GetShape().GetNumDimensions(); ++dim)
581 {
582 shape.push_back(tensorInfo.GetShape()[dim]);
583 }
584
585 // Create FlatBuffer TensorInfo
586 auto flatBufferTensorInfo = serializer::CreateTensorInfo(m_flatBufferBuilder,
587 m_flatBufferBuilder.CreateVector(shape),
588 GetFlatBufferDataType(tensorInfo.GetDataType()),
589 tensorInfo.GetQuantizationScale(),
590 tensorInfo.GetQuantizationOffset());
591
592 // Create FlatBuffer Outputslot
593 outputSlots.push_back(serializer::CreateOutputSlot(m_flatBufferBuilder,
594 slotIndex,
595 flatBufferTensorInfo));
596 }
597 return outputSlots;
598}
599
Nattapat Chaimanowongac9cadc2019-02-13 15:52:41 +0000600
601ISerializer* ISerializer::CreateRaw()
602{
603 return new Serializer();
604}
605
606ISerializerPtr ISerializer::Create()
607{
608 return ISerializerPtr(CreateRaw(), &ISerializer::Destroy);
609}
610
611void ISerializer::Destroy(ISerializer* serializer)
612{
613 delete serializer;
614}
615
616void Serializer::Serialize(const INetwork& inNetwork)
617{
618 // Iterate through to network
619 inNetwork.Accept(m_SerializerVisitor);
620 flatbuffers::FlatBufferBuilder& fbBuilder = m_SerializerVisitor.GetFlatBufferBuilder();
621
622 // Create FlatBuffer SerializedGraph
623 auto serializedGraph = serializer::CreateSerializedGraph(
624 fbBuilder,
625 fbBuilder.CreateVector(m_SerializerVisitor.GetSerializedLayers()),
626 fbBuilder.CreateVector(m_SerializerVisitor.GetInputIds()),
627 fbBuilder.CreateVector(m_SerializerVisitor.GetOutputIds()));
628
629 // Serialize the graph
630 fbBuilder.Finish(serializedGraph);
631}
632
633bool Serializer::SaveSerializedToStream(std::ostream& stream)
634{
635 flatbuffers::FlatBufferBuilder& fbBuilder = m_SerializerVisitor.GetFlatBufferBuilder();
636
Nattapat Chaimanowong7b53b692019-02-12 14:38:31 +0000637 auto bytesToWrite = boost::numeric_cast<std::streamsize>(fbBuilder.GetSize());
638 stream.write(reinterpret_cast<const char*>(fbBuilder.GetBufferPointer()), bytesToWrite);
Nattapat Chaimanowongac9cadc2019-02-13 15:52:41 +0000639 return !stream.bad();
640}
641
Matteo Martincighec333912019-02-13 15:12:39 +0000642} // namespace armnnSerializer