blob: 4f51a2baf8fe7bb87ecd22bdfec66d76782d1531 [file] [log] [blame]
//
// Copyright © 2019 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "LogSoftmaxLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
namespace armnn
{
LogSoftmaxLayer::LogSoftmaxLayer(const LogSoftmaxDescriptor &param, const char* name)
: LayerWithParameters(1, 1, LayerType::LogSoftmax, param, name) {}
std::unique_ptr<IWorkload> LogSoftmaxLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
LogSoftmaxQueueDescriptor descriptor;
SetAdditionalInfo(descriptor);
return factory.CreateWorkload(LayerType::LogSoftmax, descriptor, PrepInfoAndDesc(descriptor));
}
LogSoftmaxLayer* LogSoftmaxLayer::Clone(Graph& graph) const
{
return CloneBase<LogSoftmaxLayer>(graph, m_Param, GetName());
}
void LogSoftmaxLayer::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, "LogSoftmaxLayer");
}
ARMNN_NO_DEPRECATE_WARN_BEGIN
void LogSoftmaxLayer::Accept(ILayerVisitor& visitor) const
{
visitor.VisitLogSoftmaxLayer(this, GetParameters(), GetName());
}
ARMNN_NO_DEPRECATE_WARN_END
} // namespace armnn