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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonResizeWorkload.hpp"
#include "NeonWorkloadUtils.hpp"
#include <aclCommon/ArmComputeUtils.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <backendsCommon/CpuTensorHandle.hpp>
#include <neon/NeonTensorHandle.hpp>
using namespace armnn::armcomputetensorutils;
namespace armnn
{
arm_compute::Status NeonResizeWorkloadValidate(const TensorInfo& input,
const TensorInfo& output,
const ResizeDescriptor& descriptor)
{
arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
arm_compute::DataLayout aclDataLayout = ConvertDataLayout(descriptor.m_DataLayout);
aclInputInfo.set_data_layout(aclDataLayout);
aclOutputInfo.set_data_layout(aclDataLayout);
arm_compute::InterpolationPolicy aclInterpolationPolicy =
ConvertResizeMethodToAclInterpolationPolicy(descriptor.m_Method);
return arm_compute::NEScale::validate(&aclInputInfo,
&aclOutputInfo,
aclInterpolationPolicy,
arm_compute::BorderMode::REPLICATE,
arm_compute::PixelValue(0.f),
arm_compute::SamplingPolicy::TOP_LEFT);
}
NeonResizeWorkload::NeonResizeWorkload(const ResizeQueueDescriptor& descriptor,
const WorkloadInfo& info)
: BaseWorkload<ResizeQueueDescriptor>(descriptor, info)
{
m_Data.ValidateInputsOutputs("NeonResizeWorkload", 1, 1);
arm_compute::ITensor& input = boost::polymorphic_downcast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output = boost::polymorphic_downcast<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);
arm_compute::InterpolationPolicy aclInterpolationPolicy =
ConvertResizeMethodToAclInterpolationPolicy(descriptor.m_Parameters.m_Method);
m_ResizeLayer.configure(&input,
&output,
aclInterpolationPolicy,
arm_compute::BorderMode::REPLICATE,
arm_compute::PixelValue(0.f),
arm_compute::SamplingPolicy::TOP_LEFT);
};
void NeonResizeWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonResizeWorkload_Execute");
m_ResizeLayer.run();
}
} //namespace armnn
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