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//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ReverseV2Layer.hpp"
#include <armnn/backends/WorkloadFactory.hpp>
#include "layers/LayerCloneBase.hpp"
namespace armnn
{
ReverseV2Layer::ReverseV2Layer(const char* name)
: Layer(2, 1, LayerType::ReverseV2, name)
{
}
std::unique_ptr<IWorkload> ReverseV2Layer::CreateWorkload(const armnn::IWorkloadFactory &factory) const
{
ReverseV2QueueDescriptor descriptor;
SetAdditionalInfo(descriptor);
return factory.CreateWorkload(LayerType::ReverseV2, descriptor, PrepInfoAndDesc(descriptor));
}
ReverseV2Layer* ReverseV2Layer::Clone(armnn::Graph &graph) const
{
auto layer = CloneBase<ReverseV2Layer>(graph, GetName());
return std::move(layer);
}
std::vector<TensorShape> ReverseV2Layer::InferOutputShapes(const std::vector<TensorShape>& inputShapes) const
{
ARMNN_ASSERT(inputShapes.size() == 2);
const auto inputDims = inputShapes[0].GetNumDimensions();
std::vector<unsigned int> dimSizes(inputDims);
for (unsigned i=0; i<inputDims; i++)
{
dimSizes[i] = inputShapes[0][i];
}
TensorShape outputShape({ inputDims, dimSizes.data() });
return std::vector<TensorShape>({ outputShape });
}
void ReverseV2Layer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(2, CHECK_LOCATION());
const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
VerifyShapeInferenceType(outputShape, m_ShapeInferenceMethod);
auto inferredShapes = InferOutputShapes({
GetInputSlot(0).GetTensorInfo().GetShape(),
GetInputSlot(1).GetTensorInfo().GetShape()});
ARMNN_ASSERT(inferredShapes.size() == 1);
ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "ReverseV2Layer");
}
void ReverseV2Layer::ExecuteStrategy(IStrategy& strategy) const
{
strategy.ExecuteStrategy(this, BaseDescriptor(), {}, GetName());
}
}
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