blob: fdbd9afbed919ee53bb2dc14aacb7716baab9b31 [file] [log] [blame]
//
// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonFloorFloatWorkload.hpp"
#include "NeonWorkloadUtils.hpp"
#include <armnn/utility/PolymorphicDowncast.hpp>
#include <arm_compute/runtime/NEON/functions/NEFloor.h>
namespace armnn
{
NeonFloorFloatWorkload::NeonFloorFloatWorkload(const FloorQueueDescriptor& descriptor,
const WorkloadInfo& info)
: FloatWorkload<FloorQueueDescriptor>(descriptor, info)
{
m_Data.ValidateInputsOutputs("NeonFloorFloatWorkload", 1, 1);
arm_compute::ITensor& input = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Inputs[0])->GetTensor();
arm_compute::ITensor& output = PolymorphicDowncast<IAclTensorHandle*>(m_Data.m_Outputs[0])->GetTensor();
auto layer = std::make_unique<arm_compute::NEFloor>();
layer->configure(&input, &output);
m_Layer.reset(layer.release());
}
void NeonFloorFloatWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID("NeonFloorFloatWorkload_Execute");
m_Layer->run();
}
void NeonFloorFloatWorkload::ReplaceInputTensorHandle(ITensorHandle* tensorHandle, unsigned int slot)
{
ITensorHandle* backupHandle = this->m_Data.m_Inputs[slot];
this->m_Data.m_Inputs[slot] = tensorHandle;
try
{
Reconfigure();
}
catch(armnn::UnimplementedException& e)
{
// Cannot reconfigure, revert the slot back and throw the exception.
this->m_Data.m_Inputs[slot] = backupHandle;
throw e;
}
}
// Replace output tensor handle with the given TensorHandle
void NeonFloorFloatWorkload::ReplaceOutputTensorHandle(ITensorHandle* tensorHandle, unsigned int slot)
{
ITensorHandle* backupHandle = this->m_Data.m_Inputs[slot];
this->m_Data.m_Inputs[slot] = tensorHandle;
try
{
Reconfigure();
}
catch(armnn::UnimplementedException& e)
{
// Cannot reconfigure, revert the slot back and throw the exception.
this->m_Data.m_Inputs[slot] = backupHandle;
throw e;
}
}
void NeonFloorFloatWorkload::Reconfigure()
{
throw armnn::UnimplementedException("Reconfigure not implemented for this workload");
}
} //namespace armnn