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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "ClL2NormalizationFloat32Workload.hpp"
#include "backends/ClTensorHandle.hpp"
#include "backends/CpuTensorHandle.hpp"
#include "backends/ArmComputeUtils.hpp"
namespace armnn
{
using namespace armcomputetensorutils;
arm_compute::Status ClL2NormalizationWorkloadValidate(const TensorInfo& input,
const TensorInfo& output)
{
const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output);
arm_compute::NormalizationLayerInfo normalizationInfo =
CreateAclNormalizationLayerInfoForL2Normalization(input);
return arm_compute::CLNormalizationLayer::validate(&aclInput, &aclOutput, normalizationInfo);
}
ClL2NormalizationFloat32Workload::ClL2NormalizationFloat32Workload(const L2NormalizationQueueDescriptor& descriptor,
const WorkloadInfo& info)
: FloatWorkload<L2NormalizationQueueDescriptor>(descriptor, info)
{
m_Data.ValidateInputsOutputs("ClL2NormalizationFloat32Workload", 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();
m_Layer.configure(&input, &output, CreateAclNormalizationLayerInfoForL2Normalization(info.m_InputTensorInfos[0]));
}
void ClL2NormalizationFloat32Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_CL("ClL2NormalizationFloat32Workload_Execute");
m_Layer.run();
}
} //namespace armnn
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