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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ArgMinMaxLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <armnnUtils/TensorUtils.hpp>
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/WorkloadFactory.hpp>
namespace armnn
{
ArgMinMaxLayer::ArgMinMaxLayer(const ArgMinMaxDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::ArgMinMax, param, name)
{
}
std::unique_ptr<IWorkload> ArgMinMaxLayer::CreateWorkload(const Graph& graph,
const IWorkloadFactory& factory) const
{
ArgMinMaxQueueDescriptor descriptor;
return factory.CreateArgMinMax(descriptor, PrepInfoAndDesc(descriptor, graph));
}
ArgMinMaxLayer* ArgMinMaxLayer::Clone(Graph& graph) const
{
return CloneBase<ArgMinMaxLayer>(graph, m_Param, GetName());
}
std::vector<TensorShape> ArgMinMaxLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
BOOST_ASSERT(inputShapes.size() == 1);
TensorShape inputShape = inputShapes[0];
auto inputNumDimensions = inputShape.GetNumDimensions();
auto axis = m_Param.m_Axis;
auto unsignedAxis = armnnUtils::GetUnsignedAxis(inputNumDimensions, axis);
BOOST_ASSERT(unsignedAxis <= inputNumDimensions);
// 1D input shape results in scalar output
if (inputShape.GetNumDimensions() == 1)
{
std::vector<unsigned int> tensorDimensions(1, 1);
TensorShape outputShape(1, tensorDimensions.data());
return std::vector<TensorShape>({ outputShape });
}
std::vector<unsigned int> tensorDimensions(inputNumDimensions - 1, 0);
for (unsigned int i = 0; i < unsignedAxis; ++i)
{
tensorDimensions[i] = inputShape[i];
}
for (unsigned int i = unsignedAxis + 1; i < inputNumDimensions; ++i)
{
tensorDimensions[i - 1] = inputShape[i];
}
TensorShape outputShape = TensorShape(inputNumDimensions - 1, tensorDimensions.data());
return std::vector<TensorShape>({ outputShape });
}
void ArgMinMaxLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
BOOST_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"ArgMinMaxLayer: TensorShape set on OutputSlot does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
inferredShapes[0]);
}
void ArgMinMaxLayer::Accept(ILayerVisitor& visitor) const
{
visitor.VisitArgMinMaxLayer(this, GetParameters(), GetName());
}
} // namespace armnn
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