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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "ConstantLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backends/CpuTensorHandle.hpp>
#include <backends/WorkloadData.hpp>
#include <backends/WorkloadFactory.hpp>
namespace armnn
{
ConstantLayer::ConstantLayer(const std::shared_ptr<ScopedCpuTensorHandle>& input, const char* name)
: Layer(0, 1, LayerType::Constant, name)
, m_LayerOutput(input)
{
}
std::unique_ptr<IWorkload> ConstantLayer::CreateWorkload(const Graph& graph,
const IWorkloadFactory& factory) const
{
ConstantQueueDescriptor descriptor;
descriptor.m_LayerOutput = m_LayerOutput.get();
return factory.CreateConstant(descriptor, PrepInfoAndDesc(descriptor, graph));
}
ConstantLayer* ConstantLayer::Clone(Graph& graph) const
{
// Cloned layers share the same layer output object
return CloneBase<ConstantLayer>(graph, m_LayerOutput, GetName());
}
void ConstantLayer::ValidateTensorShapesFromInputs()
{
// get the output shape from the value of the constant layer
TensorShape const& outShape = m_LayerOutput->GetTensorInfo().GetShape();
ConditionalThrowIfNotEqual<LayerValidationException>(
"ConstantLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
outShape);
}
} // namespace armnn
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