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Sang-Hoon Park68dd25f2020-10-19 16:00:11 +01001/*
2* Copyright (c) 2020 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 SRC_CORE_HELPERS_AUTOCONFIGURATION_H
25#define SRC_CORE_HELPERS_AUTOCONFIGURATION_H
26
27#include "arm_compute/core/ITensorInfo.h"
28#include "arm_compute/core/Types.h"
29
30namespace arm_compute
31{
32/** Auto initialize the tensor info (shape, number of channels and data type) if the current assignment is empty.
33 *
34 * @param[in,out] info Tensor info used to check and assign.
35 * @param[in] shape New shape.
36 * @param[in] num_channels New number of channels.
37 * @param[in] data_type New data type
38 * @param[in] quantization_info (Optional) New quantization info
39 *
40 * @return True if the tensor info has been initialized
41 */
42inline bool auto_init_if_empty(ITensorInfo &info,
43 const TensorShape &shape,
44 int num_channels, DataType data_type,
45 QuantizationInfo quantization_info = QuantizationInfo())
46{
47 if(info.tensor_shape().total_size() == 0)
48 {
49 info.set_data_type(data_type);
50 info.set_num_channels(num_channels);
51 info.set_tensor_shape(shape);
52 info.set_quantization_info(quantization_info);
53 return true;
54 }
55
56 return false;
57}
58
59/** Auto initialize the tensor info using another tensor info.
60*
61* @param info_sink Tensor info used to check and assign
62* @param info_source Tensor info used to assign
63*
64* @return True if the tensor info has been initialized
65*/
66inline bool auto_init_if_empty(ITensorInfo &info_sink, const ITensorInfo &info_source)
67{
68 if(info_sink.tensor_shape().total_size() == 0)
69 {
70 info_sink.set_data_type(info_source.data_type());
71 info_sink.set_num_channels(info_source.num_channels());
72 info_sink.set_tensor_shape(info_source.tensor_shape());
73 info_sink.set_quantization_info(info_source.quantization_info());
74 info_sink.set_data_layout(info_source.data_layout());
75 return true;
76 }
77
78 return false;
79}
80
81/** Set the shape to the specified value if the current assignment is empty.
82 *
83 * @param[in,out] info Tensor info used to check and assign.
84 * @param[in] shape New shape.
85 *
86 * @return True if the shape has been changed.
87 */
88inline bool set_shape_if_empty(ITensorInfo &info, const TensorShape &shape)
89{
90 if(info.tensor_shape().total_size() == 0)
91 {
92 info.set_tensor_shape(shape);
93 return true;
94 }
95
96 return false;
97}
98
99/** Set the format, data type and number of channels to the specified value if
100 * the current data type is unknown.
101 *
102 * @param[in,out] info Tensor info used to check and assign.
103 * @param[in] format New format.
104 *
105 * @return True if the format has been changed.
106 */
107inline bool set_format_if_unknown(ITensorInfo &info, Format format)
108{
109 if(info.data_type() == DataType::UNKNOWN)
110 {
111 info.set_format(format);
112 return true;
113 }
114
115 return false;
116}
117
118/** Set the data type and number of channels to the specified value if
119 * the current data type is unknown.
120 *
121 * @param[in,out] info Tensor info used to check and assign.
122 * @param[in] data_type New data type.
123 *
124 * @return True if the data type has been changed.
125 */
126inline bool set_data_type_if_unknown(ITensorInfo &info, DataType data_type)
127{
128 if(info.data_type() == DataType::UNKNOWN)
129 {
130 info.set_data_type(data_type);
131 return true;
132 }
133
134 return false;
135}
136
137/** Set the data layout to the specified value if
138 * the current data layout is unknown.
139 *
140 * @param[in,out] info Tensor info used to check and assign.
141 * @param[in] data_layout New data layout.
142 *
143 * @return True if the data type has been changed.
144 */
145inline bool set_data_layout_if_unknown(ITensorInfo &info, DataLayout data_layout)
146{
147 if(info.data_layout() == DataLayout::UNKNOWN)
148 {
149 info.set_data_layout(data_layout);
150 return true;
151 }
152
153 return false;
154}
155
156/** Set the quantization info to the specified value if
157 * the current quantization info is empty and the data type of asymmetric quantized type
158 *
159 * @param[in,out] info Tensor info used to check and assign.
160 * @param[in] quantization_info Quantization info
161 *
162 * @return True if the quantization info has been changed.
163 */
164inline bool set_quantization_info_if_empty(ITensorInfo &info, QuantizationInfo quantization_info)
165{
166 if(info.quantization_info().empty() && (is_data_type_quantized_asymmetric(info.data_type())))
167 {
168 info.set_quantization_info(quantization_info);
169 return true;
170 }
171
172 return false;
173}
174} // namespace arm_compute
175
176#endif /* SRC_CORE_HELPERS_AUTOCONFIGURATION_H */