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
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
|
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "RefElementwiseWorkload.hpp"
#include "ElementwiseFunction.hpp"
#include "RefWorkloadUtils.hpp"
#include "Profiling.hpp"
#include "StringMapping.hpp"
#include "TypeUtils.hpp"
#include <vector>
namespace armnn
{
template <typename Functor,
typename armnn::DataType DataType,
typename ParentDescriptor,
typename armnn::StringMapping::Id DebugString>
void RefElementwiseWorkload<Functor, DataType, ParentDescriptor, DebugString>::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT(Compute::CpuRef, StringMapping::Instance().Get(DebugString));
const TensorInfo& inputInfo0 = GetTensorInfo(m_Data.m_Inputs[0]);
const TensorInfo& inputInfo1 = GetTensorInfo(m_Data.m_Inputs[1]);
const TensorInfo& outputInfo = GetTensorInfo(m_Data.m_Outputs[0]);
const TensorShape& inShape0 = inputInfo0.GetShape();
const TensorShape& inShape1 = inputInfo1.GetShape();
const TensorShape& outShape = outputInfo.GetShape();
switch(DataType)
{
case armnn::DataType::QuantisedAsymm8:
{
std::vector<float> results(outputInfo.GetNumElements());
ElementwiseFunction<Functor, float, float>(inShape0,
inShape1,
outShape,
Dequantize(GetInputTensorDataU8(0, m_Data), inputInfo0).data(),
Dequantize(GetInputTensorDataU8(1, m_Data), inputInfo1).data(),
results.data());
Quantize(GetOutputTensorDataU8(0, m_Data), results.data(), outputInfo);
break;
}
case armnn::DataType::Float32:
{
ElementwiseFunction<Functor, float, float>(inShape0,
inShape1,
outShape,
GetInputTensorDataFloat(0, m_Data),
GetInputTensorDataFloat(1, m_Data),
GetOutputTensorDataFloat(0, m_Data));
break;
}
default:
BOOST_ASSERT_MSG(false, "Unknown Data Type!");
break;
}
}
}
template class armnn::RefElementwiseWorkload<std::plus<float>,
armnn::DataType::Float32,
armnn::AdditionQueueDescriptor,
armnn::StringMapping::RefAdditionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::plus<float>,
armnn::DataType::QuantisedAsymm8,
armnn::AdditionQueueDescriptor,
armnn::StringMapping::RefAdditionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::minus<float>,
armnn::DataType::Float32,
armnn::SubtractionQueueDescriptor,
armnn::StringMapping::RefSubtractionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::minus<float>,
armnn::DataType::QuantisedAsymm8,
armnn::SubtractionQueueDescriptor,
armnn::StringMapping::RefSubtractionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::multiplies<float>,
armnn::DataType::Float32,
armnn::MultiplicationQueueDescriptor,
armnn::StringMapping::RefMultiplicationWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::multiplies<float>,
armnn::DataType::QuantisedAsymm8,
armnn::MultiplicationQueueDescriptor,
armnn::StringMapping::RefMultiplicationWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::divides<float>,
armnn::DataType::Float32,
armnn::DivisionQueueDescriptor,
armnn::StringMapping::RefDivisionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<std::divides<float>,
armnn::DataType::QuantisedAsymm8,
armnn::DivisionQueueDescriptor,
armnn::StringMapping::RefDivisionWorkload_Execute>;
template class armnn::RefElementwiseWorkload<armnn::maximum<float>,
armnn::DataType::Float32,
armnn::MaximumQueueDescriptor,
armnn::StringMapping::RefMaximumWorkload_Execute>;
template class armnn::RefElementwiseWorkload<armnn::maximum<float>,
armnn::DataType::QuantisedAsymm8,
armnn::MaximumQueueDescriptor,
armnn::StringMapping::RefMaximumWorkload_Execute>;
template class armnn::RefElementwiseWorkload<armnn::minimum<float>,
armnn::DataType::Float32,
armnn::MinimumQueueDescriptor,
armnn::StringMapping::RefMinimumWorkload_Execute>;
template class armnn::RefElementwiseWorkload<armnn::minimum<float>,
armnn::DataType::QuantisedAsymm8,
armnn::MinimumQueueDescriptor,
armnn::StringMapping::RefMinimumWorkload_Execute>;
|