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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#pragma once
namespace armnn
{
namespace
{
// Make a workload of the specified WorkloadType
template<typename WorkloadType>
struct MakeWorkloadForType
{
template<typename QueueDescriptorType>
static std::unique_ptr<WorkloadType> Func(const QueueDescriptorType& descriptor, const WorkloadInfo& info)
{
return std::make_unique<WorkloadType>(descriptor, info);
}
};
// Specialization for void workload type used for unsupported workloads.
template<>
struct MakeWorkloadForType<NullWorkload>
{
template<typename QueueDescriptorType>
static std::unique_ptr<NullWorkload> Func(const QueueDescriptorType& descriptor, const WorkloadInfo& info)
{
return nullptr;
}
};
// Makes a workload for one the specified types based on the data type requirements of the tensorinfo.
// Specify type void as the WorkloadType for unsupported DataType/WorkloadType combos.
template <typename Float32Workload, typename Uint8Workload, typename QueueDescriptorType>
std::unique_ptr<IWorkload> MakeWorkload(const QueueDescriptorType& descriptor, const WorkloadInfo& info)
{
const DataType dataType = !info.m_InputTensorInfos.empty() ?
info.m_InputTensorInfos[0].GetDataType()
: info.m_OutputTensorInfos[0].GetDataType();
BOOST_ASSERT(info.m_InputTensorInfos.empty() || info.m_OutputTensorInfos.empty()
|| info.m_InputTensorInfos[0].GetDataType() == info.m_OutputTensorInfos[0].GetDataType());
switch (dataType)
{
case DataType::Float32:
return MakeWorkloadForType<Float32Workload>::Func(descriptor, info);
case DataType::QuantisedAsymm8:
return MakeWorkloadForType<Uint8Workload>::Func(descriptor, info);
default:
BOOST_ASSERT_MSG(false, "Unknown DataType.");
return nullptr;
}
}
} //namespace
} //namespace armnn
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