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//
// Copyright © 2019 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "LogSoftmaxLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/WorkloadFactory.hpp>
namespace armnn
{
LogSoftmaxLayer::LogSoftmaxLayer(const LogSoftmaxDescriptor ¶m, const char* name)
: LayerWithParameters(1, 1, LayerType::LogSoftmax, param, name) {}
std::unique_ptr<IWorkload> LogSoftmaxLayer::CreateWorkload(const Graph& graph, const IWorkloadFactory& factory) const
{
LogSoftmaxQueueDescriptor descriptor;
return factory.CreateLogSoftmax(descriptor, PrepInfoAndDesc(descriptor, graph));
}
LogSoftmaxLayer* LogSoftmaxLayer::Clone(Graph& graph) const
{
return CloneBase<LogSoftmaxLayer>(graph, m_Param, GetName());
}
void LogSoftmaxLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
BOOST_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"LogSoftmaxLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
inferredShapes[0]);
}
void LogSoftmaxLayer::Accept(ILayerVisitor& visitor) const
{
visitor.VisitLogSoftmaxLayer(this, GetParameters(), GetName());
}
} // namespace armnn
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