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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ResizeBilinearLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backends/WorkloadData.hpp>
#include <backends/WorkloadFactory.hpp>
namespace armnn
{
ResizeBilinearLayer::ResizeBilinearLayer(const ResizeBilinearDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::ResizeBilinear, param, name)
{
}
std::unique_ptr<IWorkload> ResizeBilinearLayer::CreateWorkload(const Graph& graph,
const IWorkloadFactory& factory) const
{
ResizeBilinearQueueDescriptor descriptor;
return factory.CreateResizeBilinear(descriptor, PrepInfoAndDesc(descriptor, graph));
}
ResizeBilinearLayer* ResizeBilinearLayer::Clone(Graph& graph) const
{
return CloneBase<ResizeBilinearLayer>(graph, m_Param, GetName());
}
std::vector<TensorShape> ResizeBilinearLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
BOOST_ASSERT(inputShapes.size() == 1);
const TensorShape& inputShape = inputShapes[0];
unsigned int outWidth = m_Param.m_TargetWidth;
unsigned int outHeight = m_Param.m_TargetHeight;
unsigned int outChannels = inputShape[1];
unsigned int outBatch = inputShape[0];
return std::vector<TensorShape>({ TensorShape({outBatch, outChannels, outHeight, outWidth}) });
}
void ResizeBilinearLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
BOOST_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"ResizeBilinearLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
inferredShapes[0]);
}
} // namespace armnn
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