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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ClPooling2dWorkload.hpp"
#include <backends/cl/ClLayerSupport.hpp>
#include <backends/cl/ClTensorHandle.hpp>
#include <backends/aclCommon/ArmComputeUtils.hpp>
#include <backends/aclCommon/ArmComputeTensorUtils.hpp>
#include "ClWorkloadUtils.hpp"
namespace armnn
{
using namespace armcomputetensorutils;
arm_compute::Status ClPooling2dWorkloadValidate(const TensorInfo& input,
const TensorInfo& output,
const Pooling2dDescriptor& descriptor)
{
const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input, descriptor.m_DataLayout);
const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output, descriptor.m_DataLayout);
arm_compute::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(descriptor);
return arm_compute::CLPoolingLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
}
ClPooling2dWorkload::ClPooling2dWorkload(
const Pooling2dQueueDescriptor& descriptor, const WorkloadInfo& info)
: BaseWorkload<Pooling2dQueueDescriptor>(descriptor, info)
{
m_Data.ValidateInputsOutputs("ClPooling2dWorkload", 1, 1);
arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(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::PoolingLayerInfo layerInfo = BuildArmComputePoolingLayerInfo(m_Data.m_Parameters);
// Run the layer.
m_PoolingLayer.configure(&input, &output, layerInfo);
}
void ClPooling2dWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_CL("ClPooling2dWorkload_Execute");
m_PoolingLayer.run();
}
}
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