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//
// Copyright © 2019 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "SliceLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/WorkloadFactory.hpp>
#include <boost/assert.hpp>
#include <boost/numeric/conversion/cast.hpp>
namespace armnn
{
SliceLayer::SliceLayer(const SliceDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::Slice, param, name)
{
}
std::unique_ptr<IWorkload> SliceLayer::CreateWorkload(const Graph& graph,
const IWorkloadFactory& factory) const
{
SliceQueueDescriptor descriptor;
return factory.CreateSlice(descriptor, PrepInfoAndDesc(descriptor, graph));
}
SliceLayer* SliceLayer::Clone(Graph& graph) const
{
return CloneBase<SliceLayer>(graph, m_Param, GetName());
}
void SliceLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
BOOST_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"SliceLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
inferredShapes[0]);
}
std::vector<TensorShape> SliceLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
BOOST_ASSERT(inputShapes.size() == 1);
TensorShape outputShape(boost::numeric_cast<unsigned int>(m_Param.m_Size.size()), m_Param.m_Size.data());
return std::vector<TensorShape>({ outputShape });
}
void SliceLayer::Accept(ILayerVisitor& visitor) const
{
visitor.VisitSliceLayer(this, GetParameters(), GetName());
}
} // namespace armnn
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