OnnxParserImpl Class Reference

#include <OnnxParser.hpp>

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

Public Member Functions
armnn::INetworkPtr	CreateNetworkFromBinaryFile (const char *graphFile)
	Create the network from a protobuf binary file on disk. More...
armnn::INetworkPtr	CreateNetworkFromTextFile (const char *graphFile)
	Create the network from a protobuf text file on disk. More...
armnn::INetworkPtr	CreateNetworkFromString (const std::string &protoText)
	Create the network directly from protobuf text in a string. Useful for debugging/testing. More...
BindingPointInfo	GetNetworkInputBindingInfo (const std::string &name) const
	Retrieve binding info (layer id and tensor info) for the network input identified by the given layer name. More...
BindingPointInfo	GetNetworkOutputBindingInfo (const std::string &name) const
	Retrieve binding info (layer id and tensor info) for the network output identified by the given layer name. More...
	OnnxParserImpl ()
	~OnnxParserImpl ()=default
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 const std::string	GetVersion ()
	Retrieve version in X.Y.Z form. More...

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

OnnxParserImpl()

OnnxParserImpl

(

)

Definition at line 485 of file OnnxParser.cpp.

    : m_Network(nullptr, nullptr)
{
}

~OnnxParserImpl()

~OnnxParserImpl ( )

default

Member Function Documentation

CreateNetworkFromBinaryFile()

INetworkPtr CreateNetworkFromBinaryFile

(

const char *

graphFile

)

Create the network from a protobuf binary file on disk.

Definition at line 631 of file OnnxParser.cpp.

References OnnxParserImpl::LoadModelFromBinaryFile().

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

CreateNetworkFromString()

INetworkPtr CreateNetworkFromString

(

const std::string &

protoText

)

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

Definition at line 657 of file OnnxParser.cpp.

References ARMNN_ASSERT, CHECK_LOCATION, CHECK_VALID_DATATYPE, CHECK_VALID_SIZE, CHECKED_INT32, IOutputSlot::Connect(), IConnectableLayer::GetInputSlot(), TensorShape::GetNumDimensions(), IConnectableLayer::GetNumInputSlots(), IConnectableLayer::GetNumOutputSlots(), IConnectableLayer::GetOutputSlot(), TensorInfo::GetShape(), OnnxParserImpl::LoadModelFromString(), ActivationDescriptor::m_A, ActivationDescriptor::m_B, FullyConnectedDescriptor::m_BiasEnabled, Convolution2dDescriptor::m_BiasEnabled, Convolution2dDescriptor::m_DilationX, Convolution2dDescriptor::m_DilationY, BatchNormalizationDescriptor::m_Eps, ActivationDescriptor::m_Function, Pooling2dDescriptor::m_OutputShapeRounding, Pooling2dDescriptor::m_PadBottom, Convolution2dDescriptor::m_PadBottom, Pooling2dDescriptor::m_PaddingMethod, Pooling2dDescriptor::m_PadLeft, Convolution2dDescriptor::m_PadLeft, DepthwiseConvolution2dDescriptor::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::SetConstant(), 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

)

Create the network from a protobuf text file on disk.

Definition at line 595 of file OnnxParser.cpp.

References OnnxParserImpl::LoadModelFromTextFile().

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

GetInputs()

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

static

Retrieve inputs names.

Definition at line 1870 of file OnnxParser.cpp.

References CHECK_LOCATION.

Referenced by TEST_SUITE().

{
    if(model == nullptr) {
        throw InvalidArgumentException(fmt::format("The given model cannot be null {}",
                                                   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

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

Definition at line 1842 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(fmt::format("The input layer '{}' does not exist {}",
                                               name, CHECK_LOCATION().AsString()));
}

GetNetworkOutputBindingInfo()

BindingPointInfo GetNetworkOutputBindingInfo

(

const std::string &

name

)

const

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

Definition at line 1856 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(fmt::format("The output layer '{}' does not exist {}",
                                               name, CHECK_LOCATION().AsString()));
}

GetOutputs()

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

static

Retrieve outputs names.

Definition at line 1894 of file OnnxParser.cpp.

References CHECK_LOCATION.

Referenced by TEST_SUITE().

{
    if(model == nullptr) {
        throw InvalidArgumentException(fmt::format("The given model cannot be null {}",
                                                   CHECK_LOCATION().AsString()));
    }

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

GetVersion()

const std::string GetVersion ( )

static

Retrieve version in X.Y.Z form.

Definition at line 1909 of file OnnxParser.cpp.

References ONNX_PARSER_VERSION.

{
    return ONNX_PARSER_VERSION;
}

LoadModelFromBinaryFile()

ModelPtr LoadModelFromBinaryFile ( const char *  fileName )

static

Definition at line 603 of file OnnxParser.cpp.

References CHECK_LOCATION, and armnn::error.

Referenced by OnnxParserImpl::CreateNetworkFromBinaryFile().

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

    if (fd == nullptr)
    {
        throw FileNotFoundException(fmt::format("Invalid (null) filename {}", 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);
    bool success = modelProto.get()->ParseFromCodedStream(&codedStream);
    fclose(fd);

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

}

LoadModelFromString()

ModelPtr LoadModelFromString ( const std::string &  inputString )

static

Definition at line 638 of file OnnxParser.cpp.

References CHECK_LOCATION, and armnn::error.

Referenced by OnnxParserImpl::CreateNetworkFromString(), and TEST_SUITE().

{
    if (protoText == "")
    {
        throw InvalidArgumentException(fmt::format("Invalid (empty) string for model parameter {}",
                                                   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(fmt::format("{} {}", error.str(), CHECK_LOCATION().AsString()));
    }
    return modelProto;
}

LoadModelFromTextFile()

ModelPtr LoadModelFromTextFile ( const char *  fileName )

static

Definition at line 570 of file OnnxParser.cpp.

References CHECK_LOCATION, and armnn::error.

Referenced by OnnxParserImpl::CreateNetworkFromTextFile().

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

    if (fd == nullptr)
    {
        throw FileNotFoundException(fmt::format("Invalid (null) filename {}", 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(fmt::format("{} {}", error.str(), CHECK_LOCATION().AsString()));
    }
    return modelProto;
}

ValidateInputs()

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

Definition at line 433 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