blob: 0f1d4386d7b5f2e6b9e47050c09b4435df486dbd [file] [log] [blame]
//
// Copyright © 2019 Arm Ltd and Contributors. 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/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 IWorkloadFactory& factory) const
{
SliceQueueDescriptor descriptor;
return factory.CreateSlice(descriptor, PrepInfoAndDesc(descriptor));
}
SliceLayer* SliceLayer::Clone(Graph& graph) const
{
return CloneBase<SliceLayer>(graph, m_Param, GetName());
}
void SliceLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
ARMNN_ASSERT(inferredShapes.size() == 1);
ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "SliceLayer");
}
std::vector<TensorShape> SliceLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
IgnoreUnused(inputShapes);
ARMNN_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