Anthony Barbier | 6ff3b19 | 2017-09-04 18:44:23 +0100 | [diff] [blame] | 1 | /* |
| 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 | #include "RawTensor.h" |
| 25 | |
| 26 | #include "Utils.h" |
| 27 | |
| 28 | #include "arm_compute/core/Utils.h" |
| 29 | |
| 30 | #include <algorithm> |
| 31 | #include <array> |
| 32 | #include <functional> |
| 33 | #include <stdexcept> |
| 34 | #include <utility> |
| 35 | |
| 36 | namespace arm_compute |
| 37 | { |
| 38 | namespace test |
| 39 | { |
| 40 | RawTensor::RawTensor(TensorShape shape, Format format, int fixed_point_position) |
| 41 | : _buffer(nullptr), |
| 42 | _shape(shape), |
| 43 | _format(format), |
| 44 | _fixed_point_position(fixed_point_position) |
| 45 | { |
| 46 | _buffer = ::arm_compute::test::cpp14::make_unique<BufferType[]>(size()); |
| 47 | } |
| 48 | |
| 49 | RawTensor::RawTensor(TensorShape shape, DataType data_type, int num_channels, int fixed_point_position) |
| 50 | : _buffer(nullptr), |
| 51 | _shape(shape), |
| 52 | _data_type(data_type), |
| 53 | _num_channels(num_channels), |
| 54 | _fixed_point_position(fixed_point_position) |
| 55 | { |
| 56 | _buffer = ::arm_compute::test::cpp14::make_unique<BufferType[]>(size()); |
| 57 | } |
| 58 | |
| 59 | RawTensor::RawTensor(const RawTensor &tensor) |
| 60 | : _buffer(nullptr), |
| 61 | _shape(tensor.shape()), |
| 62 | _format(tensor.format()), |
| 63 | _fixed_point_position(tensor.fixed_point_position()) |
| 64 | { |
| 65 | _buffer = ::arm_compute::test::cpp14::make_unique<BufferType[]>(tensor.size()); |
| 66 | std::copy(tensor.data(), tensor.data() + size(), _buffer.get()); |
| 67 | } |
| 68 | |
| 69 | RawTensor &RawTensor::operator=(RawTensor tensor) |
| 70 | { |
| 71 | swap(*this, tensor); |
| 72 | |
| 73 | return *this; |
| 74 | } |
| 75 | |
| 76 | RawTensor::BufferType &RawTensor::operator[](size_t offset) |
| 77 | { |
| 78 | return _buffer[offset]; |
| 79 | } |
| 80 | |
| 81 | const RawTensor::BufferType &RawTensor::operator[](size_t offset) const |
| 82 | { |
| 83 | return _buffer[offset]; |
| 84 | } |
| 85 | |
| 86 | TensorShape RawTensor::shape() const |
| 87 | { |
| 88 | return _shape; |
| 89 | } |
| 90 | |
| 91 | size_t RawTensor::element_size() const |
| 92 | { |
| 93 | return num_channels() * element_size_from_data_type(data_type()); |
| 94 | } |
| 95 | |
| 96 | int RawTensor::fixed_point_position() const |
| 97 | { |
| 98 | return _fixed_point_position; |
| 99 | } |
| 100 | |
| 101 | size_t RawTensor::size() const |
| 102 | { |
| 103 | const size_t size = std::accumulate(_shape.cbegin(), _shape.cend(), 1, std::multiplies<size_t>()); |
| 104 | return size * element_size(); |
| 105 | } |
| 106 | |
| 107 | Format RawTensor::format() const |
| 108 | { |
| 109 | return _format; |
| 110 | } |
| 111 | |
| 112 | DataType RawTensor::data_type() const |
| 113 | { |
| 114 | if(_format != Format::UNKNOWN) |
| 115 | { |
| 116 | return data_type_from_format(_format); |
| 117 | } |
| 118 | else |
| 119 | { |
| 120 | return _data_type; |
| 121 | } |
| 122 | } |
| 123 | |
| 124 | int RawTensor::num_channels() const |
| 125 | { |
| 126 | switch(_format) |
| 127 | { |
| 128 | case Format::U8: |
| 129 | case Format::S16: |
| 130 | case Format::U16: |
| 131 | case Format::S32: |
| 132 | case Format::U32: |
| 133 | return 1; |
| 134 | case Format::RGB888: |
| 135 | return 3; |
| 136 | case Format::UNKNOWN: |
| 137 | return _num_channels; |
| 138 | default: |
| 139 | ARM_COMPUTE_ERROR("NOT SUPPORTED!"); |
| 140 | } |
| 141 | } |
| 142 | |
| 143 | int RawTensor::num_elements() const |
| 144 | { |
| 145 | return _shape.total_size(); |
| 146 | } |
| 147 | |
| 148 | const RawTensor::BufferType *RawTensor::data() const |
| 149 | { |
| 150 | return _buffer.get(); |
| 151 | } |
| 152 | |
| 153 | RawTensor::BufferType *RawTensor::data() |
| 154 | { |
| 155 | return _buffer.get(); |
| 156 | } |
| 157 | |
| 158 | const RawTensor::BufferType *RawTensor::operator()(const Coordinates &coord) const |
| 159 | { |
| 160 | return _buffer.get() + coord2index(_shape, coord) * element_size(); |
| 161 | } |
| 162 | |
| 163 | RawTensor::BufferType *RawTensor::operator()(const Coordinates &coord) |
| 164 | { |
| 165 | return _buffer.get() + coord2index(_shape, coord) * element_size(); |
| 166 | } |
| 167 | |
| 168 | void swap(RawTensor &tensor1, RawTensor &tensor2) |
| 169 | { |
| 170 | // Use unqualified call to swap to enable ADL. But make std::swap available |
| 171 | // as backup. |
| 172 | using std::swap; |
| 173 | swap(tensor1._shape, tensor2._shape); |
| 174 | swap(tensor1._format, tensor2._format); |
| 175 | swap(tensor1._data_type, tensor2._data_type); |
| 176 | swap(tensor1._num_channels, tensor2._num_channels); |
| 177 | swap(tensor1._buffer, tensor2._buffer); |
| 178 | } |
| 179 | } // namespace test |
| 180 | } // namespace arm_compute |