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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#pragma once
#include "armnn/Tensor.hpp"
#include "armnn/Types.hpp"
#include "Network.hpp"
#include "LayerFwd.hpp"
#include "backends/Workload.hpp"
#include "backends/WorkloadFactory.hpp"
namespace cl
{
class Context;
class CommandQueue;
class Device;
}
namespace armnn
{
struct WorkloadFactories;
class LoadedNetwork
{
public:
TensorInfo GetInputTensorInfo(LayerBindingId layerId) const;
TensorInfo GetOutputTensorInfo(LayerBindingId layerId) const;
Status EnqueueWorkload(const InputTensors& inputTensors, const OutputTensors& outputTensors,
const WorkloadFactories& workloadFactories);
static std::unique_ptr<LoadedNetwork> MakeLoadedNetwork(std::unique_ptr<OptimizedNetwork> net,
const WorkloadFactories& workloadFactories);
private:
LoadedNetwork(std::unique_ptr<OptimizedNetwork> net, const WorkloadFactories& workloadFactories);
void EnqueueInput(const BindableLayer& layer, ITensorHandle* tensorHandle, const TensorInfo& tensorInfo,
const WorkloadFactories& workloadFactories);
void EnqueueOutput(const BindableLayer& layer, ITensorHandle* tensorHandle,
const TensorInfo& tensorInfo, const WorkloadFactories& workloadFactories);
bool Execute();
void TidyWorkloadQueue(size_t numInputs, size_t numOutputs);
const std::shared_ptr<IWorkloadFactory> GetWorkloadFactory(const Layer& layer,
const WorkloadFactories& workloadFactories) const;
std::unique_ptr<OptimizedNetwork> m_OptimizedNetwork;
std::vector< std::unique_ptr<IWorkload> > m_WorkloadQueue;
};
}
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