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Anthony Barbier6ff3b192017-09-04 18:44:23 +01001/*
2 * Copyright (c) 2017 ARM Limited.
3 *
4 * SPDX-License-Identifier: MIT
5 *
6 * Permission is hereby granted, free of charge, to any person obtaining a copy
7 * of this software and associated documentation files (the "Software"), to
8 * deal in the Software without restriction, including without limitation the
9 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
10 * sell copies of the Software, and to permit persons to whom the Software is
11 * furnished to do so, subject to the following conditions:
12 *
13 * The above copyright notice and this permission notice shall be included in all
14 * copies or substantial portions of the Software.
15 *
16 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
17 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
18 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
19 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
20 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
21 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
22 * SOFTWARE.
23 */
24#ifndef __ARM_COMPUTE_TEST_RAW_TENSOR_H__
25#define __ARM_COMPUTE_TEST_RAW_TENSOR_H__
26
27#include "arm_compute/core/TensorShape.h"
28#include "arm_compute/core/Types.h"
29
30#include <cstddef>
31#include <cstdint>
32#include <memory>
33
34namespace arm_compute
35{
36namespace test
37{
38/** Simple tensor object that stores elements in a consecutive chunk of memory.
39 *
40 * It can be created by either loading an image from a file which also
41 * initialises the content of the tensor or by explcitly specifying the size.
42 * The latter leaves the content uninitialised.
43 *
44 * Furthermore, the class provides methods to convert the tensor's values into
45 * different image format.
46 */
47class RawTensor final
48{
49public:
50 /** Create an uninitialised tensor of the given @p shape and @p format.
51 *
52 * @param[in] shape Shape of the new raw tensor.
53 * @param[in] format Format of the new raw tensor.
54 * @param[in] fixed_point_position (Optional) Number of bits for the fractional part of the fixed point numbers
55 */
56 RawTensor(TensorShape shape, Format format, int fixed_point_position = 0);
57
58 /** Create an uninitialised tensor of the given @p shape and @p data type.
59 *
60 * @param[in] shape Shape of the new raw tensor.
61 * @param[in] data_type Data type of the new raw tensor.
62 * @param[in] num_channels (Optional) Number of channels (default = 1).
63 * @param[in] fixed_point_position (Optional) Number of bits for the fractional part of the fixed point numbers (default = 0).
64 */
65 RawTensor(TensorShape shape, DataType data_type, int num_channels = 1, int fixed_point_position = 0);
66
67 /** Create a deep copy of the given @p tensor.
68 *
69 * @param[in] tensor To be copied tensor.
70 */
71 RawTensor(const RawTensor &tensor);
72
73 /** Create a deep copy of the given @p tensor.
74 *
75 * @param[in] tensor To be copied tensor.
76 */
77 RawTensor &operator =(RawTensor tensor);
78 RawTensor(RawTensor &&) = default;
79 ~RawTensor() = default;
80
81 using BufferType = uint8_t;
82 using Buffer = std::unique_ptr<BufferType[]>;
83
84 /** Return value at @p offset in the buffer.
85 *
86 * @param[in] offset Offset within the buffer.
87 */
88 BufferType &operator[](size_t offset);
89
90 /** Return constant value at @p offset in the buffer.
91 *
92 * @param[in] offset Offset within the buffer.
93 */
94 const BufferType &operator[](size_t offset) const;
95
96 /** Shape of the tensor. */
97 TensorShape shape() const;
98
99 /** Size of each element in the tensor in bytes. */
100 size_t element_size() const;
101
102 /** Total size of the tensor in bytes. */
103 size_t size() const;
104
105 /** Image format of the tensor. */
106 Format format() const;
107
108 /** Data type of the tensor. */
109 DataType data_type() const;
110
111 /** Number of channels of the tensor. */
112 int num_channels() const;
113
114 /** Number of elements of the tensor. */
115 int num_elements() const;
116
117 /** The number of bits for the fractional part of the fixed point numbers. */
118 int fixed_point_position() const;
119
120 /** Constant pointer to the underlying buffer. */
121 const BufferType *data() const;
122
123 /** Pointer to the underlying buffer. */
124 BufferType *data();
125
126 /** Read only access to the specified element.
127 *
128 * @param[in] coord Coordinates of the desired element.
129 *
130 * @return A pointer to the desired element.
131 */
132 const BufferType *operator()(const Coordinates &coord) const;
133
134 /** Access to the specified element.
135 *
136 * @param[in] coord Coordinates of the desired element.
137 *
138 * @return A pointer to the desired element.
139 */
140 BufferType *operator()(const Coordinates &coord);
141
142 /** Swaps the content of the provided tensors.
143 *
144 * @param[in, out] tensor1 Tensor to be swapped.
145 * @param[in, out] tensor2 Tensor to be swapped.
146 */
147 friend void swap(RawTensor &tensor1, RawTensor &tensor2);
148
149private:
150 Buffer _buffer{ nullptr };
151 TensorShape _shape{};
152 Format _format{ Format::UNKNOWN };
153 DataType _data_type{ DataType::UNKNOWN };
154 int _num_channels{ 0 };
155 int _fixed_point_position{ 0 };
156};
157} // namespace test
158} // namespace arm_compute
Anthony Barbierac69aa12017-07-03 17:39:37 +0100159#endif /* __ARM_COMPUTE_TEST_RAW_TENSOR_H__ */