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//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ClSoftmaxFloatWorkload.hpp"
#include "ClWorkloadUtils.hpp"
#include <aclCommon/ArmComputeUtils.hpp>
#include <cl/ClTensorHandle.hpp>
#include <backendsCommon/CpuTensorHandle.hpp>
namespace armnn
{
ClSoftmaxFloatWorkload::ClSoftmaxFloatWorkload(const SoftmaxQueueDescriptor& descriptor, const WorkloadInfo& info,
std::shared_ptr<arm_compute::MemoryManagerOnDemand>& memoryManager)
: FloatWorkload<SoftmaxQueueDescriptor>(descriptor, info)
, m_SoftmaxLayer(memoryManager)
{
m_Data.ValidateInputsOutputs("ClSoftmaxFloatWorkload", 1, 1);
arm_compute::ICLTensor& input = static_cast<ClTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ICLTensor& output = static_cast<ClTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
unsigned int aclAxis = ComputeSoftmaxAclAxis(info.m_InputTensorInfos[0]);
m_SoftmaxLayer.configure(&input, &output, m_Data.m_Parameters.m_Beta, aclAxis);
}
void ClSoftmaxFloatWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_CL("ClSoftmaxFloatWorkload_Execute");
RunClFunction(m_SoftmaxLayer, CHECK_LOCATION());
}
} //namespace armnn
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