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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "ActivationLayer.hpp"
#include "LayerCloneBase.hpp"
#include <armnn/TypesUtils.hpp>
#include <backends/WorkloadData.hpp>
#include <backends/WorkloadFactory.hpp>
namespace armnn
{
ActivationLayer::ActivationLayer(const ActivationDescriptor& param, const char* name)
: LayerWithParameters(1, 1, LayerType::Activation, param, name)
{
}
std::unique_ptr<IWorkload> ActivationLayer::CreateWorkload(const Graph& graph, const IWorkloadFactory& factory) const
{
ActivationQueueDescriptor descriptor;
return factory.CreateActivation(descriptor, PrepInfoAndDesc(descriptor, graph));
}
ActivationLayer* ActivationLayer::Clone(Graph& graph) const
{
return CloneBase<ActivationLayer>(graph, m_Param, GetName());
}
void ActivationLayer::ValidateTensorShapesFromInputs()
{
auto& info = GetInputSlot(0).GetConnection()->GetTensorInfo();
ConditionalThrowIfNotEqual<LayerValidationException>(
"ActivationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape.",
GetOutputSlot(0).GetTensorInfo().GetShape(),
info.GetShape());
}
} // namespace armnn
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