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
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
|
//
// Copyright © 2024 Arm Ltd and Contributors. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include <fmt/format.h>
#include "RefScatterNdWorkload.hpp"
#include "RefWorkloadUtils.hpp"
#include "ScatterNd.hpp"
#include "Profiling.hpp"
namespace armnn
{
RefScatterNdWorkload::RefScatterNdWorkload(const ScatterNdQueueDescriptor& descriptor, const WorkloadInfo& info)
: RefBaseWorkload(descriptor, info)
{}
void RefScatterNdWorkload::Execute() const
{
Execute(m_Data.m_Inputs, m_Data.m_Outputs);
}
void RefScatterNdWorkload::ExecuteAsync(ExecutionData& executionData)
{
WorkingMemDescriptor* workingMemDescriptor = static_cast<WorkingMemDescriptor*>(executionData.m_Data);
Execute(workingMemDescriptor->m_Inputs, workingMemDescriptor->m_Outputs);
}
void RefScatterNdWorkload::Execute(std::vector<ITensorHandle*> inputs, std::vector<ITensorHandle*> outputs) const
{
ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID("RefScatterNdWorkload_Execute");
if (m_Data.m_Parameters.m_InputEnabled)
{
// Getting TensorInfos for three inputs slots
const TensorInfo& inputInfo = GetTensorInfo(inputs[0]);
const TensorInfo& indicesInfo = GetTensorInfo(inputs[1]);
const TensorInfo& updatesInfo = GetTensorInfo(inputs[2]);
// Getting Decoder for input
std::unique_ptr<Decoder<float>> inputDecoder = MakeDecoder<float>(GetTensorInfo(inputs[0]),
inputs[0]->Map());
// Getting Decoder for indices
std::unique_ptr<Decoder<int>> indicesDecoder = MakeDecoder<int>(GetTensorInfo(inputs[1]),
inputs[1]->Map());
// Getting Decoder for updates
std::unique_ptr<Decoder<float>> updatesDecoder = MakeDecoder<float>(GetTensorInfo(inputs[2]),
inputs[2]->Map());
// Getting Encoder for output
std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]),
outputs[0]->Map());
ScatterNd(inputInfo,
indicesInfo,
updatesInfo,
*inputDecoder,
*indicesDecoder,
*updatesDecoder,
*outputEncoder,
m_Data.m_Parameters);
}
else
{
// Getting TensorInfos for three inputs slots
const TensorInfo& shapeInfo = GetTensorInfo(inputs[0]);
const TensorInfo& indicesInfo = GetTensorInfo(inputs[1]);
const TensorInfo& updatesInfo = GetTensorInfo(inputs[2]);
// Getting Decoder for shape
std::unique_ptr<Decoder<int>> shapeDecoder = MakeDecoder<int>(GetTensorInfo(inputs[0]),
inputs[0]->Map());
// Getting Decoder for indices
std::unique_ptr<Decoder<int>> indicesDecoder = MakeDecoder<int>(GetTensorInfo(inputs[1]),
inputs[1]->Map());
// Getting Decoder for updates
std::unique_ptr<Decoder<float>> updatesDecoder = MakeDecoder<float>(GetTensorInfo(inputs[2]),
inputs[2]->Map());
// Getting Encoder for output
std::unique_ptr<Encoder<float>> outputEncoder = MakeEncoder<float>(GetTensorInfo(outputs[0]),
outputs[0]->Map());
ScatterNd(indicesInfo,
updatesInfo,
shapeInfo,
*indicesDecoder,
*updatesDecoder,
*shapeDecoder,
*outputEncoder,
m_Data.m_Parameters);
}
}
} // namespace armnn
|
