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//
// Copyright © 2020-2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ElementwiseUnaryLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
#include <algorithm>
namespace armnn
{
ElementwiseUnaryLayer::ElementwiseUnaryLayer(const ElementwiseUnaryDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::ElementwiseUnary, param, name)
{
}
std::unique_ptr<IWorkload> ElementwiseUnaryLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
ElementwiseUnaryQueueDescriptor descriptor;
return factory.CreateWorkload(LayerType::ElementwiseUnary, descriptor, PrepInfoAndDesc(descriptor));
}
ElementwiseUnaryLayer* ElementwiseUnaryLayer::Clone(Graph& graph) const
{
return CloneBase<ElementwiseUnaryLayer>(graph, m_Param, GetName());
}
std::vector<TensorShape> ElementwiseUnaryLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
// Should return the shape of the input tensor
if (inputShapes.size() != 1)
{
throw armnn::Exception("inputShapes' size is \"" + std::to_string(inputShapes.size()) +
"\" - should be \"1\".");
}
const TensorShape& input = inputShapes[0];
return std::vector<TensorShape>({ input });
}
void ElementwiseUnaryLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
std::vector<TensorShape> inferredShapes = InferOutputShapes({
GetInputSlot(0).GetTensorInfo().GetShape()});
if (inferredShapes.size() != 1)
{
throw armnn::Exception("inferredShapes has "
+ std::to_string(inferredShapes.size()) +
" elements - should only have 1.");
}
ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, GetLayerTypeAsCString(GetType()));
}
void ElementwiseUnaryLayer::ExecuteStrategy(IStrategy& strategy) const
{
strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
}
} // namespace armnn
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