blob: 3eaab0e54c7330e0d8e168819d3b8b24541ab622 (
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
|
/*
* 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 __NNCC_CORE_ADT_TENSOR_SHAPE_H__
#define __NNCC_CORE_ADT_TENSOR_SHAPE_H__
#include <initializer_list>
#include <vector>
#include <cstdint>
namespace nncc
{
namespace core
{
namespace ADT
{
namespace tensor
{
class Shape
{
public:
Shape() = default;
Shape(std::initializer_list<uint32_t> &&l);
public:
uint32_t rank(void) const;
public:
Shape &resize(uint32_t size);
public:
uint32_t &dim(uint32_t axis);
uint32_t dim(uint32_t axis) const;
public:
Shape &squeeze(void);
private:
std::vector<uint32_t> _dims;
};
/**
* NOTE num_elements returns 1 for rank-0 tensors
*/
uint64_t num_elements(const Shape &);
Shape squeeze(const Shape &);
bool operator==(const Shape &, const Shape &);
} // namespace tensor
} // namespace ADT
} // namespace core
} // namespace nncc
#endif // __NNCC_CORE_ADT_TENSOR_SHAPE_H__
|