SoftmaxLayer.cpp

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//
// Copyright © 2017-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "SoftmaxLayer.hpp"
 
#include "LayerCloneBase.hpp"
 
#include <armnn/TypesUtils.hpp>
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
 
namespace armnn
{
 
SoftmaxLayer::SoftmaxLayer(const SoftmaxDescriptor &param, const char* name)
    : LayerWithParameters(1, 1, LayerType::Softmax, param, name)
{
}
 
std::unique_ptr<IWorkload> SoftmaxLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
    SoftmaxQueueDescriptor descriptor;
    SetAdditionalInfo(descriptor);
 
    return factory.CreateWorkload(LayerType::Softmax, descriptor, PrepInfoAndDesc(descriptor));
}
 
SoftmaxLayer* SoftmaxLayer::Clone(Graph& graph) const
{
    return CloneBase<SoftmaxLayer>(graph, m_Param, GetName());
}
 
void SoftmaxLayer::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, "SoftmaxLayer");
}
 
void SoftmaxLayer::ExecuteStrategy(IStrategy& strategy) const
{
    strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
}
 
} // namespace armnn