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//
// Copyright © 2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ClReverseV2Workload.hpp"
#include "ClWorkloadUtils.hpp"
#include <aclCommon/ArmComputeUtils.hpp>
#include <cl/ClTensorHandle.hpp>
#include <backendsCommon/WorkloadUtils.hpp>
using namespace armnn::armcomputetensorutils;
namespace armnn
{
arm_compute::Status ClReverseV2WorkloadValidate(const TensorInfo& input,
const TensorInfo& axis,
const TensorInfo& output)
{
const arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclAxis = BuildArmComputeTensorInfo(axis);
const arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output);
return arm_compute::CLReverse::validate(&aclInput, &aclOutput, &aclAxis, true);
}
ClReverseV2Workload::ClReverseV2Workload(const armnn::ReverseV2QueueDescriptor &descriptor,
const armnn::WorkloadInfo &info,
const arm_compute::CLCompileContext& clCompileContext)
: BaseWorkload<ReverseV2QueueDescriptor>(descriptor, info)
{
m_Data.ValidateInputsOutputs("ClReverseV2Workload", 2, 1);
arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ICLTensor& axis = static_cast<IClTensorHandle*>(m_Data.m_Inputs[1])->GetTensor();
arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
{
ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClReverseV2Workload_configure");
m_Layer.configure(clCompileContext, &input, &output, &axis, true);
}
}
void ClReverseV2Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID("ClReverseV2Workload_Execute");
m_Layer.run();
}
} //namespace armnn
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