Sang-Hoon Park | 68dd25f | 2020-10-19 16:00:11 +0100 | [diff] [blame] | 1 | /* |
| 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 | |
| 30 | namespace 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 | */ |
| 42 | inline 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 | */ |
| 66 | inline 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 | */ |
| 88 | inline 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 | */ |
| 107 | inline 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 | */ |
| 126 | inline 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 | */ |
| 145 | inline 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 | */ |
| 164 | inline 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 */ |