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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonTensorHandleFactory.hpp"
#include "NeonTensorHandle.hpp"
#include "Layer.hpp"
#include <armnn/utility/IgnoreUnused.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
namespace armnn
{
using FactoryId = ITensorHandleFactory::FactoryId;
std::unique_ptr<ITensorHandle> NeonTensorHandleFactory::CreateSubTensorHandle(ITensorHandle& parent,
const TensorShape& subTensorShape,
const unsigned int* subTensorOrigin)
const
{
const arm_compute::TensorShape shape = armcomputetensorutils::BuildArmComputeTensorShape(subTensorShape);
arm_compute::Coordinates coords;
coords.set_num_dimensions(subTensorShape.GetNumDimensions());
for (unsigned int i = 0; i < subTensorShape.GetNumDimensions(); ++i)
{
// Arm compute indexes tensor coords in reverse order.
unsigned int revertedIndex = subTensorShape.GetNumDimensions() - i - 1;
coords.set(i, boost::numeric_cast<int>(subTensorOrigin[revertedIndex]));
}
const arm_compute::TensorShape parentShape = armcomputetensorutils::BuildArmComputeTensorShape(parent.GetShape());
// In order for ACL to support subtensors the concat axis cannot be on x or y and the values of x and y
// must match the parent shapes
if (coords.x() != 0 || coords.y() != 0)
{
return nullptr;
}
if ((parentShape.x() != shape.x()) || (parentShape.y() != shape.y()))
{
return nullptr;
}
if (!::arm_compute::error_on_invalid_subtensor(__func__, __FILE__, __LINE__, parentShape, coords, shape))
{
return nullptr;
}
return std::make_unique<NeonSubTensorHandle>(
PolymorphicDowncast<IAclTensorHandle*>(&parent), shape, coords);
}
std::unique_ptr<ITensorHandle> NeonTensorHandleFactory::CreateTensorHandle(const TensorInfo& tensorInfo) const
{
return NeonTensorHandleFactory::CreateTensorHandle(tensorInfo, true);
}
std::unique_ptr<ITensorHandle> NeonTensorHandleFactory::CreateTensorHandle(const TensorInfo& tensorInfo,
DataLayout dataLayout) const
{
return NeonTensorHandleFactory::CreateTensorHandle(tensorInfo, dataLayout, true);
}
std::unique_ptr<ITensorHandle> NeonTensorHandleFactory::CreateTensorHandle(const TensorInfo& tensorInfo,
const bool IsMemoryManaged) const
{
auto tensorHandle = std::make_unique<NeonTensorHandle>(tensorInfo);
if (IsMemoryManaged)
{
tensorHandle->SetMemoryGroup(m_MemoryManager->GetInterLayerMemoryGroup());
}
// If we are not Managing the Memory then we must be importing
tensorHandle->SetImportEnabledFlag(!IsMemoryManaged);
tensorHandle->SetImportFlags(GetImportFlags());
return tensorHandle;
}
std::unique_ptr<ITensorHandle> NeonTensorHandleFactory::CreateTensorHandle(const TensorInfo& tensorInfo,
DataLayout dataLayout,
const bool IsMemoryManaged) const
{
auto tensorHandle = std::make_unique<NeonTensorHandle>(tensorInfo, dataLayout);
if (IsMemoryManaged)
{
tensorHandle->SetMemoryGroup(m_MemoryManager->GetInterLayerMemoryGroup());
}
// If we are not Managing the Memory then we must be importing
tensorHandle->SetImportEnabledFlag(!IsMemoryManaged);
tensorHandle->SetImportFlags(GetImportFlags());
return tensorHandle;
}
const FactoryId& NeonTensorHandleFactory::GetIdStatic()
{
static const FactoryId s_Id(NeonTensorHandleFactoryId());
return s_Id;
}
const FactoryId& NeonTensorHandleFactory::GetId() const
{
return GetIdStatic();
}
bool NeonTensorHandleFactory::SupportsSubTensors() const
{
return true;
}
MemorySourceFlags NeonTensorHandleFactory::GetExportFlags() const
{
return 0;
}
MemorySourceFlags NeonTensorHandleFactory::GetImportFlags() const
{
return 0;
}
std::vector<Capability> NeonTensorHandleFactory::GetCapabilities(const IConnectableLayer* layer,
const IConnectableLayer* connectedLayer,
CapabilityClass capabilityClass)
{
IgnoreUnused(connectedLayer);
std::vector<Capability> capabilities;
if (capabilityClass == CapabilityClass::PaddingRequired)
{
auto search = paddingRequiredLayers.find((PolymorphicDowncast<const Layer*>(layer))->GetType());
if ( search != paddingRequiredLayers.end())
{
Capability paddingCapability(CapabilityClass::PaddingRequired, true);
capabilities.push_back(paddingCapability);
}
}
return capabilities;
}
} // namespace armnn
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