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//
// Copyright © 2019-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "MergeLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
namespace armnn
{
MergeLayer::MergeLayer(const char* name)
: Layer(2, 1, LayerType::Merge, name)
{}
std::unique_ptr<IWorkload> MergeLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
IgnoreUnused(factory);
return nullptr;
}
MergeLayer* MergeLayer::Clone(Graph& graph) const
{
return CloneBase<MergeLayer>(graph, GetName());
}
void MergeLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(2, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
std::vector<TensorShape> inferredShapes = InferOutputShapes({
GetInputSlot(0).GetTensorInfo().GetShape(),
GetInputSlot(1).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, "MergeLayer");
}
std::vector<TensorShape> MergeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
if (inputShapes.size() != 2)
{
throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) +
"\" - should be \"2\".");
}
ConditionalThrowIfNotEqual<LayerValidationException>(
"MergeLayer: TensorShapes set on inputs do not match",
inputShapes[0],
inputShapes[1]
);
return {inputShapes[0]};
}
void MergeLayer::ExecuteStrategy(IStrategy& strategy) const
{
strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
}
} // namespace armnn
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