ArmNN
 21.11
armnnDeserializer Namespace Reference

Classes

struct  BindingPointInfo
 
class  IDeserializer
 

Typedefs

using IDeserializerPtr = std::unique_ptr< IDeserializer, void(*)(IDeserializer *parser)>
 
using ConstTensorRawPtr = const armnnSerializer::ConstTensor *
 
using GraphPtr = const armnnSerializer::SerializedGraph *
 
using TensorRawPtr = const armnnSerializer::TensorInfo *
 
using PoolingDescriptor = const armnnSerializer::Pooling2dDescriptor *
 
using NormalizationDescriptorPtr = const armnnSerializer::NormalizationDescriptor *
 
using LstmDescriptorPtr = const armnnSerializer::LstmDescriptor *
 
using LstmInputParamsPtr = const armnnSerializer::LstmInputParams *
 
using QLstmDescriptorPtr = const armnnSerializer::QLstmDescriptor *
 
using QunatizedLstmInputParamsPtr = const armnnSerializer::QuantizedLstmInputParams *
 
using TensorRawPtrVector = std::vector< TensorRawPtr >
 
using LayerRawPtr = const armnnSerializer::LayerBase *
 
using LayerBaseRawPtr = const armnnSerializer::LayerBase *
 
using LayerBaseRawPtrVector = std::vector< LayerBaseRawPtr >
 
using UnidirectionalSequenceLstmDescriptorPtr = const armnnSerializer::UnidirectionalSequenceLstmDescriptor *
 

Functions

bool CheckShape (const armnn::TensorShape &actual, const std::vector< uint32_t > &expected)
 
armnn::DataLayout ToDataLayout (armnnSerializer::DataLayout dataLayout)
 
armnn::ActivationFunction ToActivationFunction (armnnSerializer::ActivationFunction function)
 
armnn::ArgMinMaxFunction ToArgMinMaxFunction (armnnSerializer::ArgMinMaxFunction function)
 
armnn::ComparisonOperation ToComparisonOperation (armnnSerializer::ComparisonOperation operation)
 
armnn::ReduceOperation ToReduceOperation (armnnSerializer::ReduceOperation operation)
 
armnn::LogicalBinaryOperation ToLogicalBinaryOperation (armnnSerializer::LogicalBinaryOperation operation)
 
armnn::UnaryOperation ToUnaryOperation (armnnSerializer::UnaryOperation operation)
 
armnn::PaddingMode ToPaddingMode (armnnSerializer::PaddingMode paddingMode)
 
armnn::ResizeMethod ToResizeMethod (armnnSerializer::ResizeMethod method)
 
armnn::TensorInfo ToTensorInfo (TensorRawPtr tensorPtr)
 
armnn::ConstTensor ToConstTensor (ConstTensorRawPtr constTensorPtr)
 
const armnnSerializer::OriginsDescriptor * GetOriginsDescriptor (const armnnSerializer::SerializedGraph *graph, unsigned int layerIndex)
 

Typedef Documentation

◆ ConstTensorRawPtr

using ConstTensorRawPtr = const armnnSerializer::ConstTensor *

Definition at line 18 of file Deserializer.hpp.

◆ GraphPtr

using GraphPtr = const armnnSerializer::SerializedGraph *

Definition at line 19 of file Deserializer.hpp.

◆ IDeserializerPtr

using IDeserializerPtr = std::unique_ptr<IDeserializer, void(*)(IDeserializer* parser)>

Definition at line 25 of file IDeserializer.hpp.

◆ LayerBaseRawPtr

using LayerBaseRawPtr = const armnnSerializer::LayerBase *

Definition at line 29 of file Deserializer.hpp.

◆ LayerBaseRawPtrVector

using LayerBaseRawPtrVector = std::vector<LayerBaseRawPtr>

Definition at line 30 of file Deserializer.hpp.

◆ LayerRawPtr

using LayerRawPtr = const armnnSerializer::LayerBase *

Definition at line 28 of file Deserializer.hpp.

◆ LstmDescriptorPtr

using LstmDescriptorPtr = const armnnSerializer::LstmDescriptor *

Definition at line 23 of file Deserializer.hpp.

◆ LstmInputParamsPtr

using LstmInputParamsPtr = const armnnSerializer::LstmInputParams *

Definition at line 24 of file Deserializer.hpp.

◆ NormalizationDescriptorPtr

using NormalizationDescriptorPtr = const armnnSerializer::NormalizationDescriptor *

Definition at line 22 of file Deserializer.hpp.

◆ PoolingDescriptor

using PoolingDescriptor = const armnnSerializer::Pooling2dDescriptor *

Definition at line 21 of file Deserializer.hpp.

◆ QLstmDescriptorPtr

using QLstmDescriptorPtr = const armnnSerializer::QLstmDescriptor *

Definition at line 25 of file Deserializer.hpp.

◆ QunatizedLstmInputParamsPtr

using QunatizedLstmInputParamsPtr = const armnnSerializer::QuantizedLstmInputParams *

Definition at line 26 of file Deserializer.hpp.

◆ TensorRawPtr

using TensorRawPtr = const armnnSerializer::TensorInfo *

Definition at line 20 of file Deserializer.hpp.

◆ TensorRawPtrVector

using TensorRawPtrVector = std::vector<TensorRawPtr>

Definition at line 27 of file Deserializer.hpp.

◆ UnidirectionalSequenceLstmDescriptorPtr

using UnidirectionalSequenceLstmDescriptorPtr = const armnnSerializer::UnidirectionalSequenceLstmDescriptor *

Definition at line 31 of file Deserializer.hpp.

Function Documentation

◆ CheckShape()

bool armnnDeserializer::CheckShape ( const armnn::TensorShape actual,
const std::vector< uint32_t > &  expected 
)

Definition at line 187 of file Deserializer.cpp.

References TensorShape::GetNumDimensions().

Referenced by IDeserializer::DeserializerImpl::OutputShapeOfReshape(), and TfLiteParserImpl::OutputShapeOfReshape().

188 {
189  const unsigned int actualSize = actual.GetNumDimensions();
190  if (actualSize != expected.size())
191  {
192  return false;
193  }
194 
195  for (unsigned int i = 0u; i < actualSize; i++)
196  {
197  if (actual[i] != static_cast<unsigned int>(expected[i]))
198  {
199  return false;
200  }
201  }
202 
203  return true;
204 }
unsigned int GetNumDimensions() const
Function that returns the tensor rank.
Definition: Tensor.cpp:174

◆ GetOriginsDescriptor()

const armnnSerializer::OriginsDescriptor* armnnDeserializer::GetOriginsDescriptor ( const armnnSerializer::SerializedGraph *  graph,
unsigned int  layerIndex 
)

Definition at line 1833 of file Deserializer.cpp.

References CHECK_LAYERS, CHECK_LOCATION, CHECK_VALID_SIZE, BaseTensor< MemoryType >::GetInfo(), IDeserializer::DeserializerImpl::GetInputs(), IDeserializer::DeserializerImpl::GetLayerName(), FullyConnectedDescriptor::GetNumInputs(), IDeserializer::DeserializerImpl::GetOutputs(), IConnectableLayer::GetOutputSlot(), armnnSerializer::Layer_ConcatLayer, armnnSerializer::Layer_MergerLayer, ChannelShuffleDescriptor::m_Axis, FullyConnectedDescriptor::m_BiasEnabled, FullyConnectedDescriptor::m_ConstantWeights, ComparisonDescriptor::m_Operation, ElementwiseUnaryDescriptor::m_Operation, FullyConnectedDescriptor::m_TransposeWeightMatrix, IOutputSlot::SetTensorInfo(), ToComparisonOperation(), ToConstTensor(), ToPaddingMode(), ToTensorInfo(), and ToUnaryOperation().

1835 {
1836  auto layerType = graph->layers()->Get(layerIndex)->layer_type();
1837 
1838  switch (layerType)
1839  {
1841  return graph->layers()->Get(layerIndex)->layer_as_ConcatLayer()->descriptor();
1843  return graph->layers()->Get(layerIndex)->layer_as_MergerLayer()->descriptor();
1844  default:
1845  throw armnn::Exception("unknown layer type, should be concat or merger");
1846  }
1847 }
Base class for all ArmNN exceptions so that users can filter to just those.
Definition: Exceptions.hpp:46

◆ ToActivationFunction()

armnn::ActivationFunction armnnDeserializer::ToActivationFunction ( armnnSerializer::ActivationFunction  function)

Definition at line 460 of file Deserializer.cpp.

References armnn::Abs, armnnSerializer::ActivationFunction_Abs, armnnSerializer::ActivationFunction_BoundedReLu, armnnSerializer::ActivationFunction_Elu, armnnSerializer::ActivationFunction_HardSwish, armnnSerializer::ActivationFunction_LeakyReLu, armnnSerializer::ActivationFunction_Linear, armnnSerializer::ActivationFunction_ReLu, armnnSerializer::ActivationFunction_Sigmoid, armnnSerializer::ActivationFunction_Sqrt, armnnSerializer::ActivationFunction_Square, armnnSerializer::ActivationFunction_TanH, armnn::BoundedReLu, armnn::Elu, armnn::HardSwish, armnn::LeakyReLu, armnn::Linear, armnn::ReLu, armnn::Sigmoid, armnn::Sqrt, armnn::Square, and armnn::TanH.

Referenced by IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo().

461 {
462  switch (function)
463  {
486  default:
488  }
489 }
min(a, max(b, input)) ReLu1 & ReLu6.

◆ ToArgMinMaxFunction()

◆ ToComparisonOperation()

armnn::ComparisonOperation armnnDeserializer::ToComparisonOperation ( armnnSerializer::ComparisonOperation  operation)

Definition at line 503 of file Deserializer.cpp.

References armnnSerializer::ComparisonOperation_Equal, armnnSerializer::ComparisonOperation_Greater, armnnSerializer::ComparisonOperation_GreaterOrEqual, armnnSerializer::ComparisonOperation_Less, armnnSerializer::ComparisonOperation_LessOrEqual, armnnSerializer::ComparisonOperation_NotEqual, armnn::Equal, armnn::Greater, armnn::GreaterOrEqual, armnn::Less, armnn::LessOrEqual, and armnn::NotEqual.

Referenced by GetOriginsDescriptor().

504 {
505  switch (operation)
506  {
518  default:
520  }
521 }

◆ ToConstTensor()

armnn::ConstTensor armnnDeserializer::ToConstTensor ( ConstTensorRawPtr  constTensorPtr)

Definition at line 712 of file Deserializer.cpp.

References CheckLocation::AsString(), CHECK_CONST_TENSOR_PTR, CHECK_CONST_TENSOR_SIZE, CHECK_LOCATION, armnnSerializer::ConstTensorData_ByteData, armnnSerializer::ConstTensorData_IntData, armnnSerializer::ConstTensorData_LongData, armnnSerializer::ConstTensorData_ShortData, armnnSerializer::EnumNameConstTensorData(), TensorInfo::GetNumElements(), TensorInfo::SetConstant(), and ToTensorInfo().

Referenced by IDeserializer::DeserializerImpl::GetLstmDescriptor(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), GetOriginsDescriptor(), IDeserializer::DeserializerImpl::GetQLstmDescriptor(), and IDeserializer::DeserializerImpl::GetUnidirectionalSequenceLstmDescriptor().

713 {
714  CHECK_CONST_TENSOR_PTR(constTensorPtr);
715  armnn::TensorInfo tensorInfo = ToTensorInfo(constTensorPtr->info());
716  tensorInfo.SetConstant();
717 
718  switch (constTensorPtr->data_type())
719  {
721  {
722  auto byteData = constTensorPtr->data_as_ByteData()->data();
723  CHECK_CONST_TENSOR_SIZE(byteData->size(), tensorInfo.GetNumElements());
724  return armnn::ConstTensor(tensorInfo, byteData->data());
725  }
727  {
728  auto shortData = constTensorPtr->data_as_ShortData()->data();
729  CHECK_CONST_TENSOR_SIZE(shortData->size(), tensorInfo.GetNumElements());
730  return armnn::ConstTensor(tensorInfo, shortData->data());
731  }
733  {
734  auto intData = constTensorPtr->data_as_IntData()->data();
735  CHECK_CONST_TENSOR_SIZE(intData->size(), tensorInfo.GetNumElements());
736  return armnn::ConstTensor(tensorInfo, intData->data());
737  }
739  {
740  auto longData = constTensorPtr->data_as_LongData()->data();
741  CHECK_CONST_TENSOR_SIZE(longData->size(), tensorInfo.GetNumElements());
742  return armnn::ConstTensor(tensorInfo, longData->data());
743  }
744  default:
745  {
746  CheckLocation location = CHECK_LOCATION();
747  throw ParseException(fmt::format("Unsupported data type {0} = {1}. {2}",
748  constTensorPtr->data_type(),
749  EnumNameConstTensorData(constTensorPtr->data_type()),
750  location.AsString()));
751  }
752  }
753 }
std::string AsString() const
Definition: Exceptions.hpp:29
const char * EnumNameConstTensorData(ConstTensorData e)
#define CHECK_CONST_TENSOR_SIZE(CONST_TENSOR_SIZE, TENSOR_SIZE)
A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.
Definition: Tensor.hpp:327
#define CHECK_CONST_TENSOR_PTR(TENSOR_PTR)
#define CHECK_LOCATION()
Definition: Exceptions.hpp:209
void SetConstant(const bool IsConstant=true)
Marks the data corresponding to this tensor info as constant.
Definition: Tensor.cpp:516
armnn::TensorInfo ToTensorInfo(TensorRawPtr tensorPtr)
unsigned int GetNumElements() const
Definition: Tensor.hpp:196

◆ ToDataLayout()

◆ ToLogicalBinaryOperation()

◆ ToPaddingMode()

◆ ToReduceOperation()

armnn::ReduceOperation armnnDeserializer::ToReduceOperation ( armnnSerializer::ReduceOperation  operation)

Definition at line 523 of file Deserializer.cpp.

References armnn::Max, armnn::Mean, armnn::Min, armnn::Prod, armnnSerializer::ReduceOperation_Max, armnnSerializer::ReduceOperation_Mean, armnnSerializer::ReduceOperation_Min, armnnSerializer::ReduceOperation_Prod, armnnSerializer::ReduceOperation_Sum, and armnn::Sum.

Referenced by IDeserializer::DeserializerImpl::OutputShapeOfReshape().

◆ ToResizeMethod()

◆ ToTensorInfo()

armnn::TensorInfo armnnDeserializer::ToTensorInfo ( TensorRawPtr  tensorPtr)

Definition at line 606 of file Deserializer.cpp.

References CheckLocation::AsString(), armnn::Boolean, CHECK_LOCATION, CHECK_TENSOR_PTR, armnnSerializer::DataType_Boolean, armnnSerializer::DataType_Float16, armnnSerializer::DataType_Float32, armnnSerializer::DataType_QAsymmS8, armnnSerializer::DataType_QAsymmU8, armnnSerializer::DataType_QSymmS16, armnnSerializer::DataType_QSymmS8, armnnSerializer::DataType_QuantisedAsymm8, armnnSerializer::DataType_QuantisedSymm16, armnnSerializer::DataType_Signed32, armnnSerializer::DataType_Signed64, armnnSerializer::EnumNameDataType(), armnn::Float16, armnn::Float32, armnn::MaxNumOfTensorDimensions, armnn::QAsymmS8, armnn::QAsymmU8, armnn::QSymmS16, armnn::QSymmS8, armnn::Scalar, armnn::Signed32, and armnn::Signed64.

Referenced by armnnTfLiteParser::ComputeWrappedIndex(), OnnxParserImpl::CreateNetworkFromString(), IDeserializer::DeserializerImpl::GetLstmDescriptor(), TfLiteParserImpl::GetNetworkInputBindingInfo(), IDeserializer::DeserializerImpl::GetNetworkOutputBindingInfo(), TfLiteParserImpl::GetNetworkOutputBindingInfo(), IDeserializer::DeserializerImpl::GetNormalizationDescriptor(), GetOriginsDescriptor(), TfLiteParserImpl::GetOutputTensorIds(), IDeserializer::DeserializerImpl::GetPoolingDescriptor(), IDeserializer::DeserializerImpl::GetQLstmDescriptor(), IDeserializer::DeserializerImpl::GetUnidirectionalSequenceLstmDescriptor(), TfLiteParserImpl::LoadModel(), IDeserializer::DeserializerImpl::OutputShapeOfReshape(), TfLiteParserImpl::OutputShapeOfReshape(), TfLiteParserImpl::OutputShapeOfSqueeze(), and ToConstTensor().

607 {
608  armnn::DataType type;
609  CHECK_TENSOR_PTR(tensorPtr);
610 
611  switch (tensorPtr->dataType())
612  {
613  case DataType_QAsymmS8:
615  break;
616  case DataType_QSymmS8:
618  break;
620  case DataType_QAsymmU8:
622  break;
623  case DataType_QSymmS16:
626  break;
627  case DataType_Signed32:
629  break;
630  case DataType_Signed64:
632  break;
633  case DataType_Float32:
635  break;
636  case DataType_Float16:
638  break;
639  case DataType_Boolean:
641  break;
642  default:
643  {
644  CheckLocation location = CHECK_LOCATION();
645  throw ParseException(fmt::format("Unsupported data type {0} = {1}. {2}",
646  tensorPtr->dataType(),
647  EnumNameDataType(tensorPtr->dataType()),
648  location.AsString()));
649  }
650  }
651 
652  float quantizationScale = tensorPtr->quantizationScale();
653  int32_t quantizationOffset = tensorPtr->quantizationOffset();
654 
655  if (tensorPtr->dimensionality() == static_cast<unsigned int>(Dimensionality::Scalar))
656  {
658  type,
659  quantizationScale,
660  quantizationOffset);
661  }
662  else if (tensorPtr->dimensionality() == static_cast<unsigned int>(Dimensionality::NotSpecified))
663  {
664  armnn::TensorInfo result(TensorShape{Dimensionality::NotSpecified},
665  type,
666  quantizationScale,
667  quantizationOffset);
668  return result;
669  }
670 
671  auto dimensions = tensorPtr->dimensions();
672  unsigned int size = dimensions->size();
673  std::vector<unsigned int> outputDims(dimensions->begin(), dimensions->begin() + size);
674  bool dimensionsSpecificity[armnn::MaxNumOfTensorDimensions];
675  std::fill_n(dimensionsSpecificity, armnn::MaxNumOfTensorDimensions, true);
676  // For backwards compatibility check if the dimensionSpecificity vector is present first.
677  // The default is to have dimensionSpecificity set to all true's anyway.
678  if (tensorPtr->dimensionSpecificity() != nullptr)
679  {
680  auto dimensionSpecificity = tensorPtr->dimensionSpecificity();
681  size = dimensionSpecificity->size();
682  for (unsigned int i = 0; i < size; ++i)
683  {
684  dimensionsSpecificity[i] = dimensionSpecificity->Get(i);
685  }
686  }
687  // Construct a TensorShape
688  TensorShape shape(size, outputDims.data(), dimensionsSpecificity);
689 
690  auto quantizationScales = tensorPtr->quantizationScales();
691  if (quantizationScales)
692  {
693  unsigned int quantizationScalesSize = quantizationScales->size();
694  std::vector<float> scales(quantizationScales->begin(), quantizationScales->begin() + quantizationScalesSize);
695  unsigned int quantizationDim = tensorPtr->quantizationDim();
696  armnn::TensorInfo result(shape,
697  type,
698  scales,
699  quantizationDim);
700  return result;
701  }
702 
703  // two statements (on purpose) for easier debugging:
704  armnn::TensorInfo result(shape,
705  type,
706  quantizationScale,
707  quantizationOffset);
708 
709  return result;
710 }
std::string AsString() const
Definition: Exceptions.hpp:29
#define CHECK_TENSOR_PTR(TENSOR_PTR)
DataType
Definition: Types.hpp:35
#define CHECK_LOCATION()
Definition: Exceptions.hpp:209
const char * EnumNameDataType(DataType e)
constexpr unsigned int MaxNumOfTensorDimensions
Definition: Types.hpp:18

◆ ToUnaryOperation()

armnn::UnaryOperation armnnDeserializer::ToUnaryOperation ( armnnSerializer::UnaryOperation  operation)

Definition at line 555 of file Deserializer.cpp.

References armnn::Abs, armnn::Exp, armnn::Log, armnn::LogicalNot, armnn::Neg, armnn::Rsqrt, armnn::Sin, armnn::Sqrt, armnnSerializer::UnaryOperation_Abs, armnnSerializer::UnaryOperation_Exp, armnnSerializer::UnaryOperation_Log, armnnSerializer::UnaryOperation_LogicalNot, armnnSerializer::UnaryOperation_Neg, armnnSerializer::UnaryOperation_Rsqrt, armnnSerializer::UnaryOperation_Sin, and armnnSerializer::UnaryOperation_Sqrt.

Referenced by GetOriginsDescriptor().

556 {
557  switch (operation)
558  {
575  default:
576  throw armnn::InvalidArgumentException("Unary operation unknown");
577  }
578 }