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//
// Copyright © 2020 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "TransposeLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <armnnUtils/Transpose.hpp>
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/WorkloadFactory.hpp>
namespace armnn
{
TransposeLayer::TransposeLayer(const TransposeDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::Transpose, param, name)
{
}
std::unique_ptr<IWorkload> TransposeLayer::CreateWorkload(const IWorkloadFactory& factory) const
{
TransposeQueueDescriptor descriptor;
return factory.CreateTranspose(descriptor, PrepInfoAndDesc(descriptor));
}
TransposeLayer* TransposeLayer::Clone(Graph& graph) const
{
return CloneBase<TransposeLayer>(graph, m_Param, GetName());
}
std::vector<TensorShape> TransposeLayer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
ARMNN_ASSERT(inputShapes.size() == 1);
const TensorShape& inShape = inputShapes[0];
return std::vector<TensorShape> ({armnnUtils::TransposeTensorShape(inShape, m_Param.m_DimMappings)});
}
void TransposeLayer::ValidateTensorShapesFromInputs(ShapeInferenceMethod shapeInferenceMethod)
{
IgnoreUnused(shapeInferenceMethod);
VerifyLayerConnections(1, CHECK_LOCATION());
auto inferredShapes = InferOutputShapes({ GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
ARMNN_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"TransposeLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
inferredShapes[0]);
}
void TransposeLayer::Accept(ILayerVisitor& visitor) const
{
visitor.VisitTransposeLayer(this, GetParameters(), GetName());
}
} // namespace armnn
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