ShapeLayer.cpp

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//
// Copyright © 2021-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
 
#include "ShapeLayer.hpp"
 
#include "LayerCloneBase.hpp"
 
#include <armnn/TypesUtils.hpp>
#include <armnn/utility/NumericCast.hpp>
 
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
 
namespace armnn
{
 
ShapeLayer::ShapeLayer(const char* name)
    : Layer(1, 1, LayerType::Shape, name)
{
}
 
std::unique_ptr<IWorkload> ShapeLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
    ShapeQueueDescriptor descriptor;
    SetAdditionalInfo(descriptor);
 
    return factory.CreateWorkload(LayerType::Shape, descriptor, PrepInfoAndDesc(descriptor));
}
 
ShapeLayer* ShapeLayer::Clone(Graph& graph) const
{
    return CloneBase<ShapeLayer>(graph, GetName());
}
 
void ShapeLayer::ValidateTensorShapesFromInputs()
{
    VerifyLayerConnections(1, CHECK_LOCATION());
 
    const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
 
    VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
 
    auto inferredShape = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });
 
    ARMNN_ASSERT(inferredShape.size() == 1);
 
    ValidateAndCopyShape(outputShape, inferredShape[0], m_ShapeInferenceMethod, "ShapeLayer");
}
 
std::vector<TensorShape> ShapeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
    IgnoreUnused(inputShapes);
    ARMNN_ASSERT(inputShapes.size() == 1);
 
    TensorShape outputShape({ inputShapes[0].GetNumDimensions()} );
 
    return std::vector<TensorShape>({ outputShape });
}
 
 
void ShapeLayer::ExecuteStrategy(IStrategy& strategy) const
{
    strategy.ExecuteStrategy(this, BaseDescriptor(), {}, GetName());
}
 
} // namespace armnn