blob: a5146ca4c64b685bdec6c8d2fb0d10e4bff1d64e (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
|
//
// Copyright © 2019 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "NeonRsqrtWorkload.hpp"
#include "NeonWorkloadUtils.hpp"
#include <aclCommon/ArmComputeTensorHandle.hpp>
#include <aclCommon/ArmComputeTensorUtils.hpp>
#include <armnn/utility/PolymorphicDowncast.hpp>
namespace armnn
{
arm_compute::Status NeonRsqrtWorkloadValidate(const TensorInfo& input, const TensorInfo& output)
{
const arm_compute::TensorInfo aclInput = armcomputetensorutils::BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutput = armcomputetensorutils::BuildArmComputeTensorInfo(output);
return arm_compute::NERsqrtLayer::validate(&aclInput, &aclOutput);
}
NeonRsqrtWorkload::NeonRsqrtWorkload(const RsqrtQueueDescriptor& descriptor, const WorkloadInfo& info)
: NeonBaseWorkload<RsqrtQueueDescriptor>(descriptor, info)
{
m_Data.ValidateInputsOutputs("NeonRsqrtWorkload", 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();
m_RsqrtLayer.configure(&input, &output);
}
void NeonRsqrtWorkload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_NEON_GUID("NeonRsqrtWorkload_Execute", this->GetGuid());
m_RsqrtLayer.run();
}
} // namespace armnn
|
