src/armnn/layers/ConvertFp32ToFp16Layer.cpp

//
// Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ConvertFp32ToFp16Layer.hpp"

#include "LayerCloneBase.hpp"

#include <armnn/TypesUtils.hpp>
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>

namespace armnn
{

ConvertFp32ToFp16Layer::ConvertFp32ToFp16Layer(const char* name)
 : Layer(1, 1, LayerType::ConvertFp32ToFp16, name)
{
}

std::unique_ptr<IWorkload> ConvertFp32ToFp16Layer::CreateWorkload(const IWorkloadFactory& factory) const
{
    ConvertFp32ToFp16QueueDescriptor descriptor;
    SetAdditionalInfo(descriptor);

    return factory.CreateWorkload(LayerType::ConvertFp32ToFp16, descriptor, PrepInfoAndDesc(descriptor));
}

ConvertFp32ToFp16Layer* ConvertFp32ToFp16Layer::Clone(Graph& graph) const
{
    return CloneBase<ConvertFp32ToFp16Layer>(graph, GetName());
}

void ConvertFp32ToFp16Layer::ValidateTensorShapesFromInputs()
{

    VerifyLayerConnections(1, CHECK_LOCATION());

    const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();

    VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);

    auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });

    if (inferredShapes.size() != 1)
    {
        throw armnn::LayerValidationException("inferredShapes has "
                                              + std::to_string(inferredShapes.size()) +
                                              " elements - should only have 1.");
    }

    ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "LayerName");
}

void ConvertFp32ToFp16Layer::ExecuteStrategy(IStrategy& strategy) const
{
    strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
}

} // namespace armnn