blob: d4be0fcb3eb1415efc2cd80088bd809631106fed [file] [log] [blame]
//
// Copyright © 2020 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <armnn/backends/MemCopyWorkload.hpp>
#include <armnn/backends/TensorHandle.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
#include "SampleDynamicAdditionWorkload.hpp"
#include "SampleDynamicBackend.hpp"
#include "SampleDynamicWorkloadFactory.hpp"
#include "SampleTensorHandle.hpp"
namespace sdb // sample dynamic backend
{
namespace
{
static const armnn::BackendId s_Id{ GetBackendId() };
}
SampleDynamicWorkloadFactory::SampleDynamicWorkloadFactory(const std::shared_ptr<SampleMemoryManager>& memoryManager)
: m_MemoryManager(memoryManager)
{
}
SampleDynamicWorkloadFactory::SampleDynamicWorkloadFactory()
: m_MemoryManager(new SampleMemoryManager())
{
}
const armnn::BackendId& SampleDynamicWorkloadFactory::GetBackendId() const
{
return s_Id;
}
bool SampleDynamicWorkloadFactory::IsLayerSupported(const armnn::IConnectableLayer& layer,
armnn::Optional<armnn::DataType> dataType,
std::string& outReasonIfUnsupported)
{
return IWorkloadFactory::IsLayerSupported(s_Id, layer, dataType, outReasonIfUnsupported);
}
std::unique_ptr<armnn::ITensorHandle> SampleDynamicWorkloadFactory::CreateTensorHandle(
const armnn::TensorInfo& tensorInfo,
const bool isMemoryManaged) const
{
return std::make_unique<armnn::ScopedTensorHandle>(tensorInfo);
}
std::unique_ptr<armnn::ITensorHandle> SampleDynamicWorkloadFactory::CreateTensorHandle(
const armnn::TensorInfo& tensorInfo,
armnn::DataLayout dataLayout,
const bool isMemoryManaged) const
{
return std::make_unique<armnn::ScopedTensorHandle>(tensorInfo);
}
std::unique_ptr<armnn::IWorkload> SampleDynamicWorkloadFactory::CreateAddition(
const armnn::AdditionQueueDescriptor& descriptor,
const armnn::WorkloadInfo& info) const
{
return std::make_unique<SampleDynamicAdditionWorkload>(descriptor, info);
}
std::unique_ptr<armnn::IWorkload> SampleDynamicWorkloadFactory::CreateInput(
const armnn::InputQueueDescriptor& descriptor,
const armnn::WorkloadInfo& info) const
{
return std::make_unique<armnn::CopyMemGenericWorkload>(descriptor, info);
}
std::unique_ptr<armnn::IWorkload> SampleDynamicWorkloadFactory::CreateOutput(
const armnn::OutputQueueDescriptor& descriptor,
const armnn::WorkloadInfo& info) const
{
return std::make_unique<armnn::CopyMemGenericWorkload>(descriptor, info);
}
std::unique_ptr<armnn::IWorkload> SampleDynamicWorkloadFactory::CreateWorkload(
armnn::LayerType type,
const armnn::QueueDescriptor& descriptor,
const armnn::WorkloadInfo& info) const
{
using namespace armnn;
using namespace sdb;
switch(type)
{
case LayerType::Addition:
{
auto additionQueueDescriptor = PolymorphicDowncast<const AdditionQueueDescriptor*>(&descriptor);
return std::make_unique<SampleDynamicAdditionWorkload>(*additionQueueDescriptor, info);
}
case LayerType::Input:
{
auto inputQueueDescriptor = PolymorphicDowncast<const InputQueueDescriptor*>(&descriptor);
return std::make_unique<CopyMemGenericWorkload>(*inputQueueDescriptor, info);
}
case LayerType::Output:
{
auto outputQueueDescriptor = PolymorphicDowncast<const OutputQueueDescriptor*>(&descriptor);
return std::make_unique<CopyMemGenericWorkload>(*outputQueueDescriptor, info);
}
default:
return nullptr;
}
}
} // namespace sdb