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//
// Copyright © 2020-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "FillLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
namespace armnn
{
FillLayer::FillLayer(const FillDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::Fill, param, name)
{
}
std::unique_ptr<IWorkload> FillLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
FillQueueDescriptor descriptor;
SetAdditionalInfo(descriptor);
return factory.CreateWorkload(LayerType::Fill, descriptor, PrepInfoAndDesc(descriptor) );
}
FillLayer* FillLayer::Clone(Graph& graph) const
{
return CloneBase<FillLayer>(graph, m_Param, GetName());
}
void FillLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetTensorInfo().GetShape() });
ARMNN_ASSERT(inferredShapes.size() == 1);
// Cannot validate the output shape from the input shape. but we can validate that the correct dims have been
// inferred
ConditionalThrowIfNotEqual<LayerValidationException>(
"FillLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetNumDimensions(),
inferredShapes[0][0]);
}
void FillLayer::ExecuteStrategy(IStrategy& strategy) const
{
strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
}
} // namespace armnn
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