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//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include <armnn/Types.hpp>
#include <armnn/backends/WorkloadInfo.hpp>
namespace armnn
{
namespace experimental
{
struct ExecutionData;
} // end experimental namespace
using namespace armnn::experimental;
/// Workload interface to enqueue a layer computation.
class IWorkload {
public:
virtual ~IWorkload() {}
// Note: do not call for async networks via ExecuteAsync or otherwise,
// as async networks memory is allocated outside the workload.
virtual void PostAllocationConfigure() = 0;
virtual void Execute() const = 0;
virtual void ExecuteAsync(ExecutionData& executionData) = 0;
virtual arm::pipe::ProfilingGuid GetGuid() const = 0;
// SupportsTensorHandleReplacement signals that a given workload is capable of
// replacing any of its I/O tensors via ReplaceInput/OutputTensorHandle
virtual bool SupportsTensorHandleReplacement() const = 0;
// Replace input tensor handle with the given TensorHandle
virtual void ReplaceInputTensorHandle(ITensorHandle* /*input*/, unsigned int /*slot*/) = 0;
// Replace output tensor handle with the given TensorHandle
virtual void ReplaceOutputTensorHandle(ITensorHandle* /*output*/, unsigned int /*slot*/) = 0;
virtual void RegisterDebugCallback(const DebugCallbackFunction& /*func*/) {}
virtual armnn::Optional<armnn::MemoryRequirements> GetMemoryRequirements()
{
return armnn::EmptyOptional();
}
};
} //namespace armnn
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