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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 <memory>
#include "Types.hpp"
#include "Tensor.hpp"
#include "INetwork.hpp"
#include "TypesUtils.hpp"
namespace armnn
{
using NetworkId = int;
class IClTunedParameters;
class IRuntime;
using IRuntimePtr = std::unique_ptr<IRuntime, void(*)(IRuntime* runtime)>;
class IRuntime
{
public:
struct CreationOptions
{
Compute m_DefaultComputeDevice;
bool m_UseCpuRefAsFallback;
/// If set, uses the CL tuned parameters from the given object when executing CL workloads.
/// It will also be updated with new tuned parameters if it is configured to do so.
IClTunedParameters* m_ClTunedParameters;
CreationOptions(Compute defaultComputeDevice)
: m_DefaultComputeDevice(defaultComputeDevice)
, m_UseCpuRefAsFallback(true)
, m_ClTunedParameters(nullptr)
{
}
};
static IRuntime* CreateRaw(const CreationOptions& options);
static IRuntimePtr Create(const CreationOptions& options);
static void Destroy(IRuntime* runtime);
/// Load a complete network into the IRuntime.
/// @param [out] networkIdOut Unique identifier for the network is returned in this reference.
/// @param [in] network Complete network to load into the IRuntime.
/// The runtime takes ownership of the network once passed in.
/// @return armnn::Status
virtual Status LoadNetwork(NetworkId& networkIdOut, IOptimizedNetworkPtr network) = 0;
virtual TensorInfo GetInputTensorInfo(NetworkId networkId, LayerBindingId layerId) const = 0;
virtual TensorInfo GetOutputTensorInfo(NetworkId networkId, LayerBindingId layerId) const = 0;
// Evaluate network using input in inputTensors, outputs filled into outputTensors
virtual Status EnqueueWorkload(NetworkId networkId,
const InputTensors& inputTensors,
const OutputTensors& outputTensors) = 0;
/// Unload a network from the IRuntime.
/// At the moment this only removes the network from the m_Impl->m_Network.
/// This might need more work in the future to be AndroidNN compliant.
/// @param [in] networkId Unique identifier for the network to be unloaded. Generated in LoadNetwork().
/// @return armnn::Status
virtual Status UnloadNetwork(NetworkId networkId) = 0;
virtual const DeviceSpec& GetDeviceSpec() const = 0;
protected:
~IRuntime() {}
};
using IClTunedParametersPtr = std::unique_ptr<IClTunedParameters, void(*)(IClTunedParameters* params)>;
/// Manages a set of Open CL parameters which have been tuned for maximum performance.
/// Pass an instance of this object to the IRuntime::Create() method (via IRuntime::CreationOptions) to use it
/// for all CL workload execution.
///
/// Can be created in two modes:
/// - In UseTunedParameters mode the parameters stored in this object are used to execute CL workloads.
/// - In UpdateTunedParameters mode, additionally, whenever a CL workload is executed for the first time the
/// optimum parameters will be found and stored in this object. WARNING - This tuning can be slow.
///
/// The parameters can be loaded from and saved to a file so that you first run a slow initial read-write
/// execution, save the parameters for later and then run fast read-only executions using the optimised parameters.
class IClTunedParameters
{
public:
enum class Mode
{
UseTunedParameters,
UpdateTunedParameters
};
/// Creates an IClTunedParameters with the given mode.
/// @{
static IClTunedParameters* CreateRaw(Mode mode);
static IClTunedParametersPtr Create(Mode mode);
/// @}
static void Destroy(IClTunedParameters* params);
/// Loads an existing set of tuned parameters from the given file.
/// If there is an error loading the file, an armnn::Exception is thrown.
virtual void Load(const char* filename) = 0;
/// Saves the current set of tuned parameters to the given file.
/// If there is an error saving to the file, an armnn::Exception is thrown.
virtual void Save(const char* filename) const = 0;
protected:
virtual ~IClTunedParameters() {};
};
}
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