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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#include "ClNormalizationFloat32Workload.hpp"
#include "backends/ClTensorHandle.hpp"
#include "backends/CpuTensorHandle.hpp"
#include "backends/ClLayerSupport.hpp"
#include "backends/ArmComputeUtils.hpp"
#include "backends/ArmComputeTensorUtils.hpp"
namespace armnn
{
arm_compute::Status ClNormalizationWorkloadValidate(const TensorInfo& input, const TensorInfo& output,
const NormalizationDescriptor& descriptor)
{
const arm_compute::TensorInfo aclInputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutputInfo = armcomputetensorutils::BuildArmComputeTensorInfo(output);
arm_compute::NormalizationLayerInfo layerInfo =
armcomputetensorutils::BuildArmComputeNormalizationLayerInfo(descriptor);
return arm_compute::CLNormalizationLayer::validate(&aclInputInfo, &aclOutputInfo, layerInfo);
}
ClNormalizationFloat32Workload::ClNormalizationFloat32Workload(const NormalizationQueueDescriptor& descriptor,
const WorkloadInfo& info)
: FloatWorkload<NormalizationQueueDescriptor>(descriptor, info)
{
m_Data.ValidateInputsOutputs("ClNormalizationFloat32Workload", 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::NormalizationLayerInfo normalizationInfo =
armcomputetensorutils::BuildArmComputeNormalizationLayerInfo(m_Data.m_Parameters);
m_NormalizationLayer.configure(&input, &output, normalizationInfo);
};
void ClNormalizationFloat32Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_CL("ClNormalizationFloat32Workload_Execute");
m_NormalizationLayer.run();
}
} //namespace armnn
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