blob: 4dd30de77b10eefd88ca3332c85bddab077875a2 [file] [log] [blame]
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "DequantizeLayer.hpp"
#include "LayerCloneBase.hpp"
#include <backendsCommon/WorkloadData.hpp>
#include <backendsCommon/WorkloadFactory.hpp>
namespace armnn
{
DequantizeLayer::DequantizeLayer(const char* name)
: Layer(1, 1, LayerType::Dequantize, name)
{}
std::unique_ptr<IWorkload> DequantizeLayer::CreateWorkload(const Graph& graph,
const IWorkloadFactory& factory) const
{
DequantizeQueueDescriptor descriptor;
return factory.CreateDequantize(descriptor, PrepInfoAndDesc(descriptor, graph));
}
DequantizeLayer* DequantizeLayer::Clone(Graph& graph) const
{
return CloneBase<DequantizeLayer>(graph, GetName());
}
void DequantizeLayer::ValidateTensorShapesFromInputs()
{
VerifyLayerConnections(1, CHECK_LOCATION());
std::vector<TensorShape> inferredShapes = InferOutputShapes({
GetInputSlot(0).GetConnection()->GetTensorInfo().GetShape() });
BOOST_ASSERT(inferredShapes.size() == 1);
ConditionalThrowIfNotEqual<LayerValidationException>(
"DequantizeLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
inferredShapes[0]);
}
void DequantizeLayer::Accept(ILayerVisitor& visitor) const
{
visitor.VisitDequantizeLayer(this, GetName());
}
} // namespace armnn