blob: 80e1bb057c975bfc3583b6c05ca1e3132f16647b (
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
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
|
/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#ifndef __INTERNAL_NNAPI_TENSOR_VIEW_H__
#define __INTERNAL_NNAPI_TENSOR_VIEW_H__
#include "util/tensor/Shape.h"
#include "util/tensor/Index.h"
namespace internal
{
namespace nnapi
{
namespace tensor
{
template <typename T> class View
{
public:
// NOTE The parameter len denotes the number of bytes.
View(const ::nnfw::util::tensor::Shape &shape, T *ptr, size_t len) : _shape{shape}, _ptr{ptr}
{
assert(shape.element_nums() * sizeof(T) == len);
}
public:
const nnfw::util::tensor::Shape &shape(void) const { return _shape; }
private:
uint32_t offset_of(const nnfw::util::tensor::Index &index) const
{
if (_shape.rank() == 0)
{
return 0;
}
uint32_t offset = index.at(0);
// Stride decreases as axis increases in NNAPI
for (uint32_t axis = 1; axis < _shape.rank(); ++axis)
{
offset *= _shape.dim(axis);
offset += index.at(axis);
}
return offset;
}
public:
T at(const nnfw::util::tensor::Index &index) const
{
const auto offset = offset_of(index);
return _ptr[offset];
}
T &at(const nnfw::util::tensor::Index &index)
{
const auto offset = offset_of(index);
return _ptr[offset];
}
private:
nnfw::util::tensor::Shape _shape;
private:
T *_ptr;
};
} // namespace tensor
} // namespace nnapi
} // namespace internal
#endif // __INTERNAL_NNAPI_TENSOR_VIEW_H__
|