ResizeBilinearQueueDescriptor Struct Reference

#include <WorkloadData.hpp>

Inheritance diagram for ResizeBilinearQueueDescriptor:

Public Member Functions
void	Validate (const WorkloadInfo &workloadInfo) const
Public Member Functions inherited from QueueDescriptor
void	ValidateInputsOutputs (const std::string &descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const

Additional Inherited Members
Public Attributes inherited from QueueDescriptorWithParameters< ResizeBilinearDescriptor >
ResizeBilinearDescriptor	m_Parameters
Public Attributes inherited from QueueDescriptor
std::vector< ITensorHandle * >	m_Inputs
std::vector< ITensorHandle * >	m_Outputs
Protected Member Functions inherited from QueueDescriptorWithParameters< ResizeBilinearDescriptor >
	~QueueDescriptorWithParameters ()=default
	QueueDescriptorWithParameters ()=default
	QueueDescriptorWithParameters (QueueDescriptorWithParameters const &)=default
QueueDescriptorWithParameters &	operator= (QueueDescriptorWithParameters const &)=default
Protected Member Functions inherited from QueueDescriptor
	~QueueDescriptor ()=default
	QueueDescriptor ()=default
	QueueDescriptor (QueueDescriptor const &)=default
QueueDescriptor &	operator= (QueueDescriptor const &)=default

Detailed Description

Definition at line 287 of file WorkloadData.hpp.

Member Function Documentation

Validate()

void Validate

(

const WorkloadInfo &

workloadInfo

)

const

Definition at line 1343 of file WorkloadData.cpp.

References armnn::BFloat16, armnn::Float16, armnn::Float32, DataLayoutIndexed::GetChannelsIndex(), TensorInfo::GetShape(), WorkloadInfo::m_InputTensorInfos, WorkloadInfo::m_OutputTensorInfos, armnn::QAsymmU8, and armnn::QSymmS16.

{
    const std::string descriptorName{"ResizeBilinearQueueDescriptor"};

    ValidateNumInputs(workloadInfo,  descriptorName, 1);
    ValidateNumOutputs(workloadInfo, descriptorName, 1);

    const TensorInfo& inputTensorInfo  = workloadInfo.m_InputTensorInfos[0];
    const TensorInfo& outputTensorInfo = workloadInfo.m_OutputTensorInfos[0];

    ValidateTensorNumDimensions(inputTensorInfo,  descriptorName, 4, "input");
    ValidateTensorNumDimensions(outputTensorInfo, descriptorName, 4, "output");

    std::vector<DataType> supportedTypes =
    {
        DataType::BFloat16,
        DataType::Float16,
        DataType::Float32,
        DataType::QAsymmU8,
        DataType::QSymmS16
    };

    ValidateDataTypes(inputTensorInfo, supportedTypes, descriptorName);
    ValidateTensorDataTypesMatch(inputTensorInfo, outputTensorInfo, descriptorName, "input", "output");

    // ResizeBilinear only changes width and height: batch and channel count must match.
    const unsigned int inputBatchSize  = inputTensorInfo.GetShape()[0];
    const unsigned int outputBatchSize = outputTensorInfo.GetShape()[0];
    if (inputBatchSize != outputBatchSize)
    {
        throw InvalidArgumentException(
            boost::str(boost::format("%1%: Input batch size (%2%) "
                "does not match output batch size (%3%)") %
                descriptorName % inputBatchSize % outputBatchSize));
    }

    DataLayoutIndexed dimensionIndices(m_Parameters.m_DataLayout);
    const unsigned int inputChannelCount  = inputTensorInfo.GetShape()[dimensionIndices.GetChannelsIndex()];
    const unsigned int outputChannelCount = outputTensorInfo.GetShape()[dimensionIndices.GetChannelsIndex()];
    if (inputChannelCount != outputChannelCount)
    {
        throw InvalidArgumentException(
            boost::str(boost::format("%1%: Input channel count (%2%) "
                "does not match output channel count (%3%)") %
                descriptorName % inputChannelCount % outputChannelCount));
    }
}

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

• src/backends/backendsCommon/WorkloadData.hpp
• src/backends/backendsCommon/WorkloadData.cpp