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//
// Copyright © 2022 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonPooling3dWorkload.hpp"
#include "NeonWorkloadUtils.hpp"
#include <neon/NeonLayerSupport.hpp>
#include <neon/NeonTensorHandle.hpp>
#include <aclCommon/ArmComputeUtils.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
namespace armnn
{
using namespace armcomputetensorutils;
arm_compute::Status NeonPooling3dWorkloadValidate(const TensorInfo& input,
const TensorInfo& output,
const Pooling3dDescriptor& descriptor)
{
const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
arm_compute::Pooling3dLayerInfo layerInfo = BuildArmComputePooling3dLayerInfo(descriptor);
return arm_compute::NEPooling3dLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
}
NeonPooling3dWorkload::NeonPooling3dWorkload( const Pooling3dQueueDescriptor& descriptor,
const WorkloadInfo& info)
: NeonBaseWorkload<Pooling3dQueueDescriptor>(descriptor, info)
{
// Report Profiling Details
ARMNN_REPORT_PROFILING_WORKLOAD_DESC("NeonPooling3dWorkload_Construct",
descriptor.m_Parameters,
info,
this->GetGuid());
m_Data.ValidateInputsOutputs("NeonPooling3dWorkload", 1, 1);
arm_compute::ITensor& input = static_cast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output = static_cast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
arm_compute::DataLayout aclDataLayout = ConvertDataLayout(m_Data.m_Parameters.m_DataLayout);
input.info()->set_data_layout(aclDataLayout);
output.info()->set_data_layout(aclDataLayout);
// flag to use wider accumulators (32 bit instead of 16 for FP16) to improve accuracy
// enable fp_mixed_precision for the the FP16 cases that
// accumulation reaches a limit beyond which there is no more increment of the value
bool fpMixedPrecision = false;
arm_compute::Pooling3dLayerInfo layerInfo = BuildArmComputePooling3dLayerInfo(m_Data.m_Parameters,
fpMixedPrecision);
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::Undefined, "NeonPooling3dWorkload_configure");
auto layer = std::make_unique<arm_compute::NEPooling3dLayer>();
layer->configure(&input, &output, layerInfo);
m_PoolingLayer.reset(layer.release());
}
}
void NeonPooling3dWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonPooling3dWorkload_Execute", this->GetGuid());
m_PoolingLayer->run();
}
}
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