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//
// Copyright © 2020,2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "UnmapLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
#include <backendsCommon/UnmapWorkload.hpp>
namespace armnn
{
UnmapLayer::UnmapLayer(const char* name)
: Layer(1, 0, LayerType::Unmap, name)
{
}
UnmapLayer* UnmapLayer::Clone(Graph& graph) const
{
return CloneBase<UnmapLayer>(graph, GetName());
}
std::unique_ptr<IWorkload> UnmapLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
IgnoreUnused(factory);
UnmapQueueDescriptor descriptor;
SetAdditionalInfo(descriptor);
//This is different from other workloads. Does not get created by the workload factory.
return std::make_unique<UnmapWorkload>(descriptor, PrepInfoAndDesc(descriptor));
}
void UnmapLayer::ValidateTensorShapesFromInputs()
{
// validates that the input is connected.
VerifyLayerConnections(1, CHECK_LOCATION());
if (GetNumOutputSlots() != 0)
{
throw armnn::LayerValidationException("Output slots must be \"0\" - currently \""
+ std::to_string(GetNumOutputSlots()) + "\".");
}
}
void UnmapLayer::ExecuteStrategy(IStrategy& strategy) const
{
IgnoreUnused(strategy);
throw armnn::Exception("UnmapLayer should not appear in an input graph");
}
} // namespace armnn
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