ElementwiseUnaryLayer.cpp

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//
// Copyright © 2019 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
 
#include "ElementwiseUnaryLayer.hpp"
 
#include "LayerCloneBase.hpp"
 
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
 
#include <algorithm>
 
namespace armnn
{
 
ElementwiseUnaryLayer::ElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& param, const char* name)
    : LayerWithParameters(1, 1, LayerType::ElementwiseUnary, param, name)
{
}
 
std::unique_ptr<IWorkload> ElementwiseUnaryLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
    ElementwiseUnaryQueueDescriptor descriptor;
    return factory.CreateWorkload(LayerType::ElementwiseUnary, descriptor, PrepInfoAndDesc(descriptor));
}
 
ElementwiseUnaryLayer* ElementwiseUnaryLayer::Clone(Graph& graph) const
{
    return CloneBase<ElementwiseUnaryLayer>(graph, m_Param, GetName());
}
 
std::vector<TensorShape> ElementwiseUnaryLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
    // Should return the shape of the input tensor
    ARMNN_ASSERT(inputShapes.size() == 1);
    const TensorShape& input = inputShapes[0];
 
    return std::vector<TensorShape>({ input });
}
 
void ElementwiseUnaryLayer::ValidateTensorShapesFromInputs()
{
    VerifyLayerConnections(1, CHECK_LOCATION());
 
    const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
 
    VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
 
    std::vector<TensorShape> inferredShapes = InferOutputShapes({
        GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape()});
    ARMNN_ASSERT(inferredShapes.size() == 1);
 
    ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, GetLayerTypeAsCString(GetType()));
}
 
void ElementwiseUnaryLayer::ExecuteStrategy(IStrategy& strategy) const
{
    strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
}
 
} // namespace armnn