blob: 6ea271442f48d53a2622390e03d3d9584eb20a4c [file] [log] [blame]
//
// Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RankLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
namespace armnn
{
RankLayer::RankLayer(const char* name)
: Layer(1, 1, LayerType::Rank, name)
{}
std::unique_ptr<IWorkload> RankLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
RankQueueDescriptor descriptor;
SetAdditionalInfo(descriptor);
return factory.CreateWorkload(LayerType::Rank, descriptor, PrepInfoAndDesc(descriptor));
}
Layer* RankLayer::Clone(Graph& graph) const
{
RankLayer* clone = CloneBase<RankLayer>(graph, GetName());
return clone;
}
std::vector<TensorShape> RankLayer::InferOutputShapes(const std::vector<TensorShape>&) const
{
return std::vector<TensorShape>({ TensorShape(Dimensionality::Scalar) });
}
void RankLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
const TensorShape inferredShape = TensorShape(Dimensionality::Scalar);
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
ValidateAndCopyShape(outputShape, inferredShape, m_ShapeInferenceMethod, "RankLayer");
}
void RankLayer::ExecuteStrategy(IStrategy& strategy) const
{
strategy.ExecuteStrategy(this, BaseDescriptor(), {}, GetName());
}
} //namespace armnn