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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#pragma once
#include "WorkloadData.hpp"
#include "WorkloadInfo.hpp"
#include <armnn/Types.hpp>
#include <Profiling.hpp>
#include <ProfilingService.hpp>
#include <algorithm>
namespace armnn
{
/// Workload interface to enqueue a layer computation.
class IWorkload
{
public:
virtual ~IWorkload() {}
virtual void PostAllocationConfigure() = 0;
virtual void Execute() const = 0;
virtual profiling::ProfilingGuid GetGuid() const = 0;
virtual void RegisterDebugCallback(const DebugCallbackFunction& func) {}
};
// NullWorkload used to denote an unsupported workload when used by the MakeWorkload<> template
// in the various workload factories.
// There should never be an instantiation of a NullWorkload.
class NullWorkload : public IWorkload
{
NullWorkload()=delete;
};
template <typename QueueDescriptor>
class BaseWorkload : public IWorkload
{
public:
BaseWorkload(const QueueDescriptor& descriptor, const WorkloadInfo& info)
: m_Data(descriptor),
m_Guid(profiling::ProfilingService::Instance().NextGuid())
{
m_Data.Validate(info);
}
void PostAllocationConfigure() override {}
const QueueDescriptor& GetData() const { return m_Data; }
profiling::ProfilingGuid GetGuid() const final { return m_Guid; }
protected:
const QueueDescriptor m_Data;
const profiling::ProfilingGuid m_Guid;
};
// TypedWorkload used
template <typename QueueDescriptor, armnn::DataType... DataTypes>
class TypedWorkload : public BaseWorkload<QueueDescriptor>
{
public:
TypedWorkload(const QueueDescriptor& descriptor, const WorkloadInfo& info)
: BaseWorkload<QueueDescriptor>(descriptor, info)
{
std::vector<armnn::DataType> dataTypes = {DataTypes...};
armnn::DataType expectedInputType;
if (!info.m_InputTensorInfos.empty())
{
expectedInputType = info.m_InputTensorInfos.front().GetDataType();
if (std::find(dataTypes.begin(), dataTypes.end(), expectedInputType) == dataTypes.end())
{
BOOST_ASSERT_MSG(false, "Trying to create workload with incorrect type");
}
BOOST_ASSERT_MSG(std::all_of(std::next(info.m_InputTensorInfos.begin()),
info.m_InputTensorInfos.end(),
[&](auto it){
return it.GetDataType() == expectedInputType;
}),
"Trying to create workload with incorrect type");
}
armnn::DataType expectedOutputType;
if (!info.m_OutputTensorInfos.empty())
{
expectedOutputType = info.m_OutputTensorInfos.front().GetDataType();
if (!info.m_InputTensorInfos.empty())
{
if (expectedOutputType != expectedInputType)
{
BOOST_ASSERT_MSG(false, "Trying to create workload with incorrect type");
}
}
else if (std::find(dataTypes.begin(), dataTypes.end(), expectedOutputType) == dataTypes.end())
{
BOOST_ASSERT_MSG(false, "Trying to create workload with incorrect type");
}
BOOST_ASSERT_MSG(std::all_of(std::next(info.m_OutputTensorInfos.begin()),
info.m_OutputTensorInfos.end(),
[&](auto it){
return it.GetDataType() == expectedOutputType;
}),
"Trying to create workload with incorrect type");
}
}
};
template <typename QueueDescriptor, armnn::DataType InputDataType, armnn::DataType OutputDataType>
class MultiTypedWorkload : public BaseWorkload<QueueDescriptor>
{
public:
MultiTypedWorkload(const QueueDescriptor& descriptor, const WorkloadInfo& info)
: BaseWorkload<QueueDescriptor>(descriptor, info)
{
BOOST_ASSERT_MSG(std::all_of(info.m_InputTensorInfos.begin(),
info.m_InputTensorInfos.end(),
[&](auto it){
return it.GetDataType() == InputDataType;
}),
"Trying to create workload with incorrect type");
BOOST_ASSERT_MSG(std::all_of(info.m_OutputTensorInfos.begin(),
info.m_OutputTensorInfos.end(),
[&](auto it){
return it.GetDataType() == OutputDataType;
}),
"Trying to create workload with incorrect type");
}
};
// FirstInputTypedWorkload used to check type of the first input
template <typename QueueDescriptor, armnn::DataType DataType>
class FirstInputTypedWorkload : public BaseWorkload<QueueDescriptor>
{
public:
FirstInputTypedWorkload(const QueueDescriptor& descriptor, const WorkloadInfo& info)
: BaseWorkload<QueueDescriptor>(descriptor, info)
{
if (!info.m_InputTensorInfos.empty())
{
BOOST_ASSERT_MSG(info.m_InputTensorInfos.front().GetDataType() == DataType,
"Trying to create workload with incorrect type");
}
BOOST_ASSERT_MSG(std::all_of(info.m_OutputTensorInfos.begin(),
info.m_OutputTensorInfos.end(),
[&](auto it){
return it.GetDataType() == DataType;
}),
"Trying to create workload with incorrect type");
}
};
template <typename QueueDescriptor>
using FloatWorkload = TypedWorkload<QueueDescriptor,
armnn::DataType::Float16,
armnn::DataType::Float32>;
template <typename QueueDescriptor>
using Float32Workload = TypedWorkload<QueueDescriptor, armnn::DataType::Float32>;
template <typename QueueDescriptor>
using Uint8Workload = TypedWorkload<QueueDescriptor, armnn::DataType::QuantisedAsymm8>;
template <typename QueueDescriptor>
using Int32Workload = TypedWorkload<QueueDescriptor, armnn::DataType::Signed32>;
template <typename QueueDescriptor>
using BooleanWorkload = TypedWorkload<QueueDescriptor, armnn::DataType::Boolean>;
template <typename QueueDescriptor>
using BaseFloat32ComparisonWorkload = MultiTypedWorkload<QueueDescriptor,
armnn::DataType::Float32,
armnn::DataType::Boolean>;
template <typename QueueDescriptor>
using BaseUint8ComparisonWorkload = MultiTypedWorkload<QueueDescriptor,
armnn::DataType::QuantisedAsymm8,
armnn::DataType::Boolean>;
template <typename QueueDescriptor>
using Float16ToFloat32Workload = MultiTypedWorkload<QueueDescriptor,
armnn::DataType::Float16,
armnn::DataType::Float32>;
template <typename QueueDescriptor>
using Float32ToFloat16Workload = MultiTypedWorkload<QueueDescriptor,
armnn::DataType::Float32,
armnn::DataType::Float16>;
template <typename QueueDescriptor>
using Uint8ToFloat32Workload = MultiTypedWorkload<QueueDescriptor,
armnn::DataType::QuantisedAsymm8,
armnn::DataType::Float32>;
} //namespace armnn
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