OnnxParser Class Reference

#include <OnnxParser.hpp>

Inheritance diagram for OnnxParser:

Public Types
using	GraphPtr = std::unique_ptr< onnx::GraphProto >

Public Member Functions
virtual armnn::INetworkPtr	CreateNetworkFromBinaryFile (const char *graphFile) override
	Create the network from a protobuf binary file on disk. More...
virtual armnn::INetworkPtr	CreateNetworkFromTextFile (const char *graphFile) override
	Create the network from a protobuf text file on disk. More...
virtual armnn::INetworkPtr	CreateNetworkFromString (const std::string &protoText) override
	Create the network directly from protobuf text in a string. Useful for debugging/testing. More...
virtual BindingPointInfo	GetNetworkInputBindingInfo (const std::string &name) const override
	Retrieve binding info (layer id and tensor info) for the network input identified by the given layer name. More...
virtual BindingPointInfo	GetNetworkOutputBindingInfo (const std::string &name) const override
	Retrieve binding info (layer id and tensor info) for the network output identified by the given layer name. More...
	OnnxParser ()
template<typename TypePair , typename Location >
void	ValidateInputs (const onnx::NodeProto &node, TypePair validInputs, const Location &location)

Static Public Member Functions
static ModelPtr	LoadModelFromBinaryFile (const char *fileName)
static ModelPtr	LoadModelFromTextFile (const char *fileName)
static ModelPtr	LoadModelFromString (const std::string &inputString)
static std::vector< std::string >	GetInputs (ModelPtr &model)
	Retrieve inputs names. More...
static std::vector< std::string >	GetOutputs (ModelPtr &model)
	Retrieve outputs names. More...
Static Public Member Functions inherited from IOnnxParser
static IOnnxParser *	CreateRaw ()
static IOnnxParserPtr	Create ()
static void	Destroy (IOnnxParser *parser)

Additional Inherited Members
Protected Member Functions inherited from IOnnxParser
virtual	~IOnnxParser ()

Detailed Description

Definition at line 25 of file OnnxParser.hpp.

Member Typedef Documentation

GraphPtr

using GraphPtr = std::unique_ptr<onnx::GraphProto>

Definition at line 32 of file OnnxParser.hpp.

Constructor & Destructor Documentation

OnnxParser()

OnnxParser

(

)

Definition at line 434 of file OnnxParser.cpp.

References CHECK_LOCATION, TensorInfo::GetNumBytes(), and TensorInfo::GetNumElements().

    : m_Network(nullptr, nullptr)
{
}

Member Function Documentation

CreateNetworkFromBinaryFile()

INetworkPtr CreateNetworkFromBinaryFile ( const char *  graphFile )

overridevirtual

Create the network from a protobuf binary file on disk.

Implements IOnnxParser.

Definition at line 557 of file OnnxParser.cpp.

References OnnxParser::LoadModelFromBinaryFile().

{
    ResetParser();
    ModelPtr modelProto = LoadModelFromBinaryFile(graphFile);
    return CreateNetworkFromModel(*modelProto);
}

CreateNetworkFromString()

INetworkPtr CreateNetworkFromString ( const std::string &  protoText )

overridevirtual

Create the network directly from protobuf text in a string. Useful for debugging/testing.

Implements IOnnxParser.

Definition at line 584 of file OnnxParser.cpp.

References armnnTfParser::CalcPadding(), CHECK_LOCATION, CHECK_VALID_DATATYPE, CHECK_VALID_SIZE, IConnectableLayer::GetInputSlot(), TensorShape::GetNumDimensions(), IConnectableLayer::GetNumInputSlots(), IConnectableLayer::GetNumOutputSlots(), IConnectableLayer::GetOutputSlot(), TensorInfo::GetShape(), OnnxParser::LoadModelFromString(), FullyConnectedDescriptor::m_BiasEnabled, Convolution2dDescriptor::m_BiasEnabled, BatchNormalizationDescriptor::m_Eps, ActivationDescriptor::m_Function, Pooling2dDescriptor::m_OutputShapeRounding, Pooling2dDescriptor::m_PadBottom, Convolution2dDescriptor::m_PadBottom, Pooling2dDescriptor::m_PaddingMethod, Pooling2dDescriptor::m_PadLeft, Convolution2dDescriptor::m_PadLeft, Pooling2dDescriptor::m_PadRight, Convolution2dDescriptor::m_PadRight, Pooling2dDescriptor::m_PadTop, Convolution2dDescriptor::m_PadTop, Pooling2dDescriptor::m_PoolHeight, Pooling2dDescriptor::m_PoolType, Pooling2dDescriptor::m_PoolWidth, Pooling2dDescriptor::m_StrideX, Convolution2dDescriptor::m_StrideX, Pooling2dDescriptor::m_StrideY, Convolution2dDescriptor::m_StrideY, ReshapeDescriptor::m_TargetShape, TensorInfo::SetShape(), IOutputSlot::SetTensorInfo(), STR_LIST, armnnDeserializer::ToTensorInfo(), and VALID_INPUTS.

{
    ResetParser();
    ModelPtr modelProto = LoadModelFromString(protoText);
    return CreateNetworkFromModel(*modelProto);
}

CreateNetworkFromTextFile()

INetworkPtr CreateNetworkFromTextFile ( const char *  graphFile )

overridevirtual

Create the network from a protobuf text file on disk.

Implements IOnnxParser.

Definition at line 519 of file OnnxParser.cpp.

References OnnxParser::LoadModelFromTextFile().

{
    ResetParser();
    ModelPtr modelProto = LoadModelFromTextFile(graphFile);
    return CreateNetworkFromModel(*modelProto);
}

GetInputs()

std::vector< std::string > GetInputs ( ModelPtr &  model )

static

Retrieve inputs names.

Definition at line 1708 of file OnnxParser.cpp.

References CHECK_LOCATION.

Referenced by BOOST_FIXTURE_TEST_CASE().

{
    if(model == nullptr) {
        throw InvalidArgumentException(boost::str(
            boost::format("The given model cannot be null %1%")
            % CHECK_LOCATION().AsString()));
    }

    std::vector<std::string> inputNames;
    std::map<std::string, bool> isConstant;
    for(auto tensor : model->graph().initializer())
    {
        isConstant[tensor.name()] = true;
    }
    for(auto input : model->graph().input())
    {
        auto it = isConstant.find(input.name());
        if(it == isConstant.end())
        {
            inputNames.push_back(input.name());
        }
    }
    return inputNames;
}

GetNetworkInputBindingInfo()

BindingPointInfo GetNetworkInputBindingInfo ( const std::string &  name ) const

overridevirtual

Retrieve binding info (layer id and tensor info) for the network input identified by the given layer name.

Implements IOnnxParser.

Definition at line 1680 of file OnnxParser.cpp.

References CHECK_LOCATION, and armnnDeserializer::ToTensorInfo().

{
    for(int i = 0; i < m_Graph->input_size(); ++i)
    {
        auto input = m_Graph->input(i);
        if(input.name() == name)
        {
            return std::make_pair(static_cast<armnn::LayerBindingId>(i), ToTensorInfo(input));
        }
    }
    throw InvalidArgumentException(boost::str(boost::format("The input layer '%1%' does not exist %2%")
                                                            % name % CHECK_LOCATION().AsString()));
}

GetNetworkOutputBindingInfo()

BindingPointInfo GetNetworkOutputBindingInfo ( const std::string &  name ) const

overridevirtual

Retrieve binding info (layer id and tensor info) for the network output identified by the given layer name.

Implements IOnnxParser.

Definition at line 1694 of file OnnxParser.cpp.

References CHECK_LOCATION, and armnnDeserializer::ToTensorInfo().

{
    for(int i = 0; i < m_Graph->output_size(); ++i)
    {
        auto output = m_Graph->output(i);
        if(output.name() == name)
        {
            return std::make_pair(static_cast<armnn::LayerBindingId>(i), ToTensorInfo(output));
        }
    }
    throw InvalidArgumentException(boost::str(boost::format("The output layer '%1%' does not exist %2%")
                                                            % name % CHECK_LOCATION().AsString()));
}

GetOutputs()

std::vector< std::string > GetOutputs ( ModelPtr &  model )

static

Retrieve outputs names.

Definition at line 1733 of file OnnxParser.cpp.

References CHECK_LOCATION.

Referenced by BOOST_FIXTURE_TEST_CASE().

{
    if(model == nullptr) {
        throw InvalidArgumentException(boost::str(
            boost::format("The given model cannot be null %1%")
            % CHECK_LOCATION().AsString()));
    }

    std::vector<std::string> outputNames;
    for(auto output : model->graph().output())
    {
        outputNames.push_back(output.name());
    }
    return outputNames;
}

LoadModelFromBinaryFile()

ModelPtr LoadModelFromBinaryFile ( const char *  fileName )

static

Definition at line 527 of file OnnxParser.cpp.

References CHECK_LOCATION, and armnn::error.

Referenced by OnnxParser::CreateNetworkFromBinaryFile().

{
    FILE* fd = fopen(graphFile, "rb");

    if (fd == nullptr)
    {
        throw FileNotFoundException(boost::str(
            boost::format("Invalid (null) filename %1%") % CHECK_LOCATION().AsString()));
    }

    // Parse the file into a message
    ModelPtr modelProto = std::make_unique<onnx::ModelProto>();

    google::protobuf::io::FileInputStream  inStream(fileno(fd));
    google::protobuf::io::CodedInputStream codedStream(&inStream);
    codedStream.SetTotalBytesLimit(INT_MAX, INT_MAX);
    bool success = modelProto.get()->ParseFromCodedStream(&codedStream);
    fclose(fd);

    if (!success)
    {
        std::stringstream error;
        error << "Failed to parse graph file";
        throw ParseException(boost::str(
            boost::format("%1% %2%") % error.str() % CHECK_LOCATION().AsString()));
    }
    return modelProto;

}

LoadModelFromString()

ModelPtr LoadModelFromString ( const std::string &  inputString )

static

Definition at line 564 of file OnnxParser.cpp.

References CHECK_LOCATION, and armnn::error.

Referenced by BOOST_AUTO_TEST_CASE(), BOOST_FIXTURE_TEST_CASE(), and OnnxParser::CreateNetworkFromString().

{
    if (protoText == "")
    {
        throw InvalidArgumentException(boost::str(
                boost::format("Invalid (empty) string for model parameter %1%") % CHECK_LOCATION().AsString()));
    }
    // Parse the string into a message
    ModelPtr modelProto = std::make_unique<onnx::ModelProto>();
    bool success = google::protobuf::TextFormat::ParseFromString(protoText, modelProto.get());
    if (!success)
    {
        std::stringstream error;
        error << "Failed to parse graph file";
        throw ParseException(boost::str(
                boost::format("%1% %2%") % error.str() % CHECK_LOCATION().AsString()));
    }
    return modelProto;
}

LoadModelFromTextFile()

ModelPtr LoadModelFromTextFile ( const char *  fileName )

static

Definition at line 492 of file OnnxParser.cpp.

References CHECK_LOCATION, and armnn::error.

Referenced by OnnxParser::CreateNetworkFromTextFile().

{
    FILE* fd = fopen(graphFile, "r");

    if (fd == nullptr)
    {
        throw FileNotFoundException(boost::str(
            boost::format("Invalid (null) filename %1%") % CHECK_LOCATION().AsString()));
    }

    // Parse the file into a message
    ModelPtr     modelProto = std::make_unique<onnx::ModelProto>();
    using google::protobuf::io::FileInputStream;
    std::unique_ptr<FileInputStream> input = std::make_unique<FileInputStream>(fileno(fd));
    bool                 success = google::protobuf::TextFormat::Parse(input.get(), modelProto.get());
    fclose(fd);

    if (!success)
    {
        std::stringstream error;
        error << "Failed to parse graph file";
        throw ParseException(boost::str(
            boost::format("%1% %2%") % error.str() % CHECK_LOCATION().AsString()));
    }
    return modelProto;
}

ValidateInputs()

void ValidateInputs	(	const onnx::NodeProto &	node,
		TypePair	validInputs,
		const Location &	location
	)

Definition at line 367 of file OnnxParser.cpp.

{
    for(auto input : node.input())
    {
        CheckValidDataType(validInputs.second,
                           m_TensorsInfo[input].m_dtype,
                           validInputs.first,
                           node.name(),
                           input,
                           location);
    }
}

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The documentation for this class was generated from the following files:

• src/armnnOnnxParser/OnnxParser.hpp
• src/armnnOnnxParser/OnnxParser.cpp