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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonStackWorkload.hpp"
#include "NeonWorkloadUtils.hpp"
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <armnn/utility/NumericCast.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
#include <backendsCommon/CpuTensorHandle.hpp>
#include <neon/NeonTensorHandle.hpp>
namespace armnn
{
using namespace armcomputetensorutils;
namespace
{
int CalcAxis(const unsigned int axis, const unsigned int inputDimensions)
{
const int intAxis = armnn::numeric_cast<int>(axis);
return armnn::numeric_cast<int>(inputDimensions) - intAxis;
}
} //namespace
arm_compute::Status NeonStackWorkloadValidate(const std::vector<const TensorInfo*>& inputs,
const TensorInfo& output,
const StackDescriptor& descriptor)
{
std::vector<arm_compute::TensorInfo> aclInputs;
for (const TensorInfo* input : inputs)
{
arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(*input, armnn::DataLayout::NCHW);
aclInputs.emplace_back(aclInputInfo);
}
std::vector<arm_compute::ITensorInfo*> aclInputPtrs;
for (arm_compute::ITensorInfo& input : aclInputs)
{
aclInputPtrs.emplace_back(&input);
}
const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
int aclAxis = CalcAxis(descriptor.m_Axis, descriptor.m_InputShape.GetNumDimensions());
return arm_compute::NEStackLayer::validate(aclInputPtrs, aclAxis, &aclOutputInfo);
}
NeonStackWorkload::NeonStackWorkload(const StackQueueDescriptor& descriptor, const WorkloadInfo& info)
: BaseWorkload<StackQueueDescriptor>(descriptor, info)
{
std::vector<arm_compute::ITensor*> aclInputs;
for (auto input : m_Data.m_Inputs)
{
arm_compute::ITensor& aclInput = PolymorphicPointerDowncast<IAclTensorHandle>(input)->GetTensor();
aclInputs.emplace_back(&aclInput);
}
arm_compute::ITensor& output = PolymorphicPointerDowncast<IAclTensorHandle>(
m_Data.m_Outputs[0])->GetTensor();
m_Layer.reset(new arm_compute::NEStackLayer());
int aclAxis = CalcAxis(descriptor.m_Parameters.m_Axis, descriptor.m_Parameters.m_InputShape.GetNumDimensions());
m_Layer->configure(aclInputs, aclAxis, &output);
}
void NeonStackWorkload::Execute() const
{
if (m_Layer)
{
ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonStackWorkload_Execute");
m_Layer->run();
}
}
} //namespace armnn
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