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//
// Copyright © 2020 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ConvertFp32ToBf16Layer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <armnn/backends/WorkloadData.hpp>
#include <armnn/backends/WorkloadFactory.hpp>
namespace armnn
{
ConvertFp32ToBf16Layer::ConvertFp32ToBf16Layer(const char* name)
: Layer(1, 1, LayerType::ConvertFp32ToBf16, name)
{
}
std::unique_ptr<IWorkload> ConvertFp32ToBf16Layer::CreateWorkload(const IWorkloadFactory& factory) const
{
ConvertFp32ToBf16QueueDescriptor descriptor;
SetAdditionalInfo(descriptor);
return factory.CreateWorkload(LayerType::ConvertFp32ToBf16, descriptor, PrepInfoAndDesc(descriptor));
}
ConvertFp32ToBf16Layer* ConvertFp32ToBf16Layer::Clone(Graph& graph) const
{
return CloneBase<ConvertFp32ToBf16Layer>(graph, GetName());
}
void ConvertFp32ToBf16Layer::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, "LayerName");
}
ARMNN_NO_DEPRECATE_WARN_BEGIN
void ConvertFp32ToBf16Layer::Accept(ILayerVisitor& visitor) const
{
// these conversion layers are only inserted by the
// optimizer and so will never be in an input graph.
IgnoreUnused(visitor);
throw armnn::Exception("ConvertFp32ToBf16Layer should never appear in an input graph");
}
ARMNN_NO_DEPRECATE_WARN_END
} // namespace armnn
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