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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonResizeBilinearWorkload.hpp"
#include <aclCommon/ArmComputeUtils.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <backendsCommon/CpuTensorHandle.hpp>
#include <neon/NeonTensorHandle.hpp>
#include <neon/NeonLayerSupport.hpp>
using namespace armnn::armcomputetensorutils;
namespace armnn
{
arm_compute::Status NeonResizeBilinearWorkloadValidate(const TensorInfo& input, const TensorInfo& output)
{
const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
return arm_compute::NEScale::validate(&aclInputInfo,
&aclOutputInfo,
arm_compute::InterpolationPolicy::BILINEAR,
arm_compute::BorderMode::REPLICATE,
arm_compute::PixelValue(0.f),
arm_compute::SamplingPolicy::TOP_LEFT);
}
NeonResizeBilinearWorkload::NeonResizeBilinearWorkload(const ResizeBilinearQueueDescriptor& descriptor,
const WorkloadInfo& info)
: BaseWorkload<ResizeBilinearQueueDescriptor>(descriptor, info)
{
m_Data.ValidateInputsOutputs("NeonResizeBilinearWorkload", 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);
m_ResizeBilinearLayer.configure(&input,
&output,
arm_compute::InterpolationPolicy::BILINEAR,
arm_compute::BorderMode::REPLICATE,
arm_compute::PixelValue(0.f),
arm_compute::SamplingPolicy::TOP_LEFT);
};
void NeonResizeBilinearWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON("NeonResizeBilinearWorkload_Execute");
m_ResizeBilinearLayer.run();
}
} //namespace armnn
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