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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#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());
}
void ResizeBilinearLayer::ValidateTensorShapesFromInputs()
{
ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection() != nullptr,
"MemCopyLayer: InputSlot must be connected to an OutputSlot");
ConditionalThrow<LayerValidationException>(GetInputSlot(0).GetConnection()->IsTensorInfoSet(),
"MemCopyLayer: TensorInfo must be set on connected OutputSlot.");
const TensorShape& inputShape = GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape();
unsigned int outWidth = m_Param.m_TargetWidth;
unsigned int outHeight = m_Param.m_TargetHeight;
unsigned int outChannels = inputShape[1];
unsigned int outBatch = inputShape[0];
TensorShape outShape({outBatch, outChannels, outHeight, outWidth});
ConditionalThrowIfNotEqual<LayerValidationException>(
"ResizeBilinearLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
outShape);
}
} // namespace armnn
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