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//
// Copyright © 2021 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "Layer.hpp"
#include "Network.hpp"
#include "WorkingMemDescriptor.hpp"
#include <armnn/IWorkingMemHandle.hpp>
#include <armnn/Tensor.hpp>
#include <unordered_map>
#include <mutex>
namespace armnn
{
namespace experimental
{
class WorkingMemHandle final : public IWorkingMemHandle
{
public:
struct InputConnectionInfo
{
LayerBindingId m_LayerBindingId;
unsigned int m_DescriptorIndex;
unsigned int m_InputIndex;
};
WorkingMemHandle(NetworkId networkId) : m_NetworkId(networkId){}
WorkingMemHandle(NetworkId networkId,
std::vector<std::pair<LayerBindingId, LayerGuid>> inputHandles,
std::vector<InputConnectionInfo> inputConnections,
std::vector<WorkingMemDescriptor> workingMemDescriptors,
std::unordered_map<LayerGuid, WorkingMemDescriptor> workingMemDescriptorMap,
std::vector<std::shared_ptr<IMemoryManager>> memoryManagers,
std::unordered_map<LayerGuid, std::vector<std::unique_ptr<ITensorHandle> > > ownedTensorHandles);
~WorkingMemHandle()
{ Free(); }
NetworkId GetNetworkId() override
{
return m_NetworkId;
}
/// Allocate the backing memory required for execution. If this is not called, then allocation will be
/// deferred to execution time. The mutex must be locked.
void Allocate() override;
/// Free the backing memory required for execution. The mutex must be locked.
void Free() override;
/// IsAllocated returns true if the backing memory is currently allocated. The mutex must be locked.
bool IsAllocated() override
{
return m_IsAllocated;
}
/// Get a mutex which can be used for synchronizing access to the WorkingMemHandle object.
std::mutex& GetMutex() override
{
return m_Mutex;
}
/// Get the WorkingMemDescriptor for a Layer. The mutex must be locked.
WorkingMemDescriptor& GetWorkingMemDescriptor(LayerGuid id) override
{
auto result = m_WorkingMemDescriptorMap.find(id);
ARMNN_ASSERT(result != m_WorkingMemDescriptorMap.end());
return result->second;
}
/// Get the WorkingMemDescriptor at an index. The WorkingMemDescriptors are stored in the same order as
/// the Workloads in a topologically sorted graph. The mutex must be locked.
WorkingMemDescriptor& GetWorkingMemDescriptorAt(unsigned int id) override
{
return m_WorkingMemDescriptors[id];
}
ITensorHandle* GetInputHandle(LayerBindingId layerBindingId) const
{
return m_InputHandleMap.at(layerBindingId);
};
const std::vector<std::vector<ITensorHandle*>::iterator>& GetInputConnections(LayerBindingId layerBindingId) const
{
return m_InputConnectionMap.at(layerBindingId);
};
std::unordered_map<LayerBindingId, bool> GetValidationMap() const
{
return m_ValidationMap;
};
private:
NetworkId m_NetworkId;
std::shared_ptr<ProfilerImpl> m_Profiler;
std::unordered_map<LayerBindingId, ITensorHandle*> m_InputHandleMap;
std::unordered_map<LayerBindingId, std::vector<std::vector<ITensorHandle*>::iterator>> m_InputConnectionMap;
std::vector<WorkingMemDescriptor> m_WorkingMemDescriptors;
std::unordered_map<LayerGuid, WorkingMemDescriptor> m_WorkingMemDescriptorMap;
// Vector of IMemoryManagers that manage the WorkingMemHandle's memory
std::vector<std::shared_ptr<IMemoryManager>> m_MemoryManagers;
// TensorHandles owned by this WorkingMemHandle
// constant tensor's can be shared by multiple WorkingMemHandles and so will not be stored here
std::unordered_map<LayerGuid, std::vector<std::unique_ptr<ITensorHandle> > > m_OwnedTensorHandles;
std::unordered_map<LayerBindingId, bool> m_ValidationMap;
bool m_IsAllocated;
std::mutex m_Mutex;
};
} // end experimental namespace
} // end armnn namespace
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