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
125
|
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// See LICENSE file in the project root for full license information.
//
#pragma once
#include "backends/CpuTensorHandle.hpp"
#include <armnn/Tensor.hpp>
#include <armnn/Types.hpp>
#include <boost/polymorphic_cast.hpp>
namespace armnn
{
////////////////////////////////////////////
/// float32 helpers
////////////////////////////////////////////
inline const TensorInfo& GetTensorInfo(const ITensorHandle* tensorHandle)
{
// We know that reference workloads use CpuTensorHandles only, so this cast is legitimate.
const ConstCpuTensorHandle* cpuTensorHandle =
boost::polymorphic_downcast<const ConstCpuTensorHandle*>(tensorHandle);
return cpuTensorHandle->GetTensorInfo();
}
template <typename DataType>
inline const DataType* GetConstCpuData(const ITensorHandle* tensorHandle)
{
// We know that reference workloads use (Const)CpuTensorHandles only, so this cast is legitimate.
const ConstCpuTensorHandle* cpuTensorHandle =
boost::polymorphic_downcast<const ConstCpuTensorHandle*>(tensorHandle);
return cpuTensorHandle->GetConstTensor<DataType>();
}
template <typename DataType>
inline DataType* GetCpuData(const ITensorHandle* tensorHandle)
{
// We know that reference workloads use CpuTensorHandles only, so this cast is legitimate.
const CpuTensorHandle* cpuTensorHandle = boost::polymorphic_downcast<const CpuTensorHandle*>(tensorHandle);
return cpuTensorHandle->GetTensor<DataType>();
};
template <typename DataType, typename PayloadType>
const DataType* GetInputTensorData(unsigned int idx, const PayloadType& data)
{
const ITensorHandle* tensorHandle = data.m_Inputs[idx];
return GetConstCpuData<DataType>(tensorHandle);
}
template <typename DataType, typename PayloadType>
DataType* GetOutputTensorData(unsigned int idx, const PayloadType& data)
{
const ITensorHandle* tensorHandle = data.m_Outputs[idx];
return GetCpuData<DataType>(tensorHandle);
}
template <typename PayloadType>
const float* GetInputTensorDataFloat(unsigned int idx, const PayloadType& data)
{
return GetInputTensorData<float>(idx, data);
}
template <typename PayloadType>
float* GetOutputTensorDataFloat(unsigned int idx, const PayloadType& data)
{
return GetOutputTensorData<float>(idx, data);
}
////////////////////////////////////////////
/// u8 helpers
////////////////////////////////////////////
inline const uint8_t* GetConstCpuU8Data(const ITensorHandle* tensorHandle)
{
// We know that reference workloads use (Const)CpuTensorHandles only, so this cast is legitimate.
const ConstCpuTensorHandle* cpuTensorHandle =
boost::polymorphic_downcast<const ConstCpuTensorHandle*>(tensorHandle);
return cpuTensorHandle->GetConstTensor<uint8_t>();
};
inline uint8_t* GetCpuU8Data(const ITensorHandle* tensorHandle)
{
// We know that reference workloads use CpuTensorHandles only, so this cast is legitimate.
const CpuTensorHandle* cpuTensorHandle = boost::polymorphic_downcast<const CpuTensorHandle*>(tensorHandle);
return cpuTensorHandle->GetTensor<uint8_t>();
};
template <typename PayloadType>
const uint8_t* GetInputTensorDataU8(unsigned int idx, const PayloadType& data)
{
const ITensorHandle* tensorHandle = data.m_Inputs[idx];
return GetConstCpuU8Data(tensorHandle);
}
template <typename PayloadType>
uint8_t* GetOutputTensorDataU8(unsigned int idx, const PayloadType& data)
{
const ITensorHandle* tensorHandle = data.m_Outputs[idx];
return GetCpuU8Data(tensorHandle);
}
template<typename T>
std::vector<float> Dequantize(const T* quant, const TensorInfo& info)
{
std::vector<float> ret(info.GetNumElements());
for (size_t i = 0; i < info.GetNumElements(); i++)
{
ret[i] = armnn::Dequantize(quant[i], info.GetQuantizationScale(), info.GetQuantizationOffset());
}
return ret;
}
inline void Quantize(uint8_t* quant, const float* dequant, const TensorInfo& info)
{
for (size_t i = 0; i < info.GetNumElements(); i++)
{
quant[i] = armnn::Quantize<uint8_t>(dequant[i], info.GetQuantizationScale(), info.GetQuantizationOffset());
}
}
} //namespace armnn
|
