blob: 10e6cd44c2c94386131a5bb1f7e4c57dd36fadca [file] [log] [blame]
//
// Copyright © 2019-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "MemImportLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
#include <backendsCommon/MemImportWorkload.hpp>
namespace armnn
{
MemImportLayer::MemImportLayer(const char* name)
: Layer(1, 1, LayerType::MemImport, name)
{
}
MemImportLayer* MemImportLayer::Clone(Graph& graph) const
{
return CloneBase<MemImportLayer>(graph, GetName());
}
std::unique_ptr<IWorkload> MemImportLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
IgnoreUnused(factory);
MemImportQueueDescriptor descriptor;
SetAdditionalInfo(descriptor);
//This is different from other workloads. Does not get created by the workload factory.
return std::make_unique<ImportMemGenericWorkload>(descriptor, PrepInfoAndDesc(descriptor));
}
void MemImportLayer::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, "MemImportLayer");
}
void MemImportLayer::ExecuteStrategy(IStrategy& strategy) const
{
IgnoreUnused(strategy);
throw armnn::Exception("MemImportLayer should not appear in an input graph");
}
} // namespace armnn