Isabella Gottardi | 1fab09f | 2017-07-13 15:55:57 +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 | |
| 25 | #include "arm_compute/core/Helpers.h" |
| 26 | |
| 27 | #include "Scale.h" |
| 28 | #include "Utils.h" |
| 29 | |
| 30 | namespace arm_compute |
| 31 | { |
| 32 | namespace test |
| 33 | { |
| 34 | namespace validation |
| 35 | { |
| 36 | namespace reference |
| 37 | { |
| 38 | template <typename T> |
Georgios Pinitas | 583137c | 2017-08-31 18:12:42 +0100 | [diff] [blame] | 39 | SimpleTensor<T> scale(const SimpleTensor<T> &in, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, T constant_border_value) |
Isabella Gottardi | 1fab09f | 2017-07-13 15:55:57 +0100 | [diff] [blame] | 40 | { |
| 41 | TensorShape shape_scaled(in.shape()); |
| 42 | shape_scaled.set(0, in.shape()[0] * scale_x); |
| 43 | shape_scaled.set(1, in.shape()[1] * scale_y); |
| 44 | SimpleTensor<T> out(shape_scaled, in.data_type()); |
| 45 | |
| 46 | // Compute the ratio between source width/height and destination width/height |
| 47 | const auto wr = static_cast<float>(in.shape()[0]) / static_cast<float>(out.shape()[0]); |
| 48 | const auto hr = static_cast<float>(in.shape()[1]) / static_cast<float>(out.shape()[1]); |
| 49 | |
| 50 | const auto width = static_cast<int>(in.shape().x()); |
| 51 | const auto height = static_cast<int>(in.shape().y()); |
| 52 | |
| 53 | // Area interpolation behaves as Nearest Neighbour in case of up-sampling |
| 54 | if(policy == InterpolationPolicy::AREA && wr <= 1.f && hr <= 1.f) |
| 55 | { |
| 56 | policy = InterpolationPolicy::NEAREST_NEIGHBOR; |
| 57 | } |
| 58 | |
| 59 | for(int element_idx = 0, count = 0; element_idx < out.num_elements(); ++element_idx, ++count) |
| 60 | { |
| 61 | Coordinates id = index2coord(out.shape(), element_idx); |
| 62 | int idx = id.x(); |
| 63 | int idy = id.y(); |
| 64 | float x_src = (idx + 0.5f) * wr - 0.5f; |
| 65 | float y_src = (idy + 0.5f) * hr - 0.5f; |
| 66 | |
| 67 | switch(policy) |
| 68 | { |
| 69 | case InterpolationPolicy::NEAREST_NEIGHBOR: |
| 70 | { |
| 71 | //Calculate the source coords without -0.5f is equivalent to round the x_scr/y_src coords |
| 72 | x_src = (idx + 0.5f) * wr; |
| 73 | y_src = (idy + 0.5f) * hr; |
| 74 | id.set(0, x_src); |
| 75 | id.set(1, y_src); |
| 76 | |
| 77 | // If coordinates in range of tensor's width or height |
| 78 | if(x_src >= -1 || y_src >= -1 || x_src <= width || y_src <= height) |
| 79 | { |
| 80 | out[element_idx] = tensor_elem_at(in, id, border_mode, constant_border_value); |
| 81 | } |
| 82 | else |
| 83 | { |
| 84 | if(border_mode == BorderMode::CONSTANT) |
| 85 | { |
| 86 | out[element_idx] = constant_border_value; |
| 87 | } |
| 88 | else if(border_mode == BorderMode::REPLICATE) |
| 89 | { |
| 90 | id.set(0, clamp(static_cast<int>(x_src), 0, width - 1)); |
| 91 | id.set(1, clamp(static_cast<int>(y_src), 0, height - 1)); |
| 92 | out[element_idx] = in[coord2index(in.shape(), id)]; |
| 93 | } |
| 94 | } |
| 95 | break; |
| 96 | } |
| 97 | case InterpolationPolicy::BILINEAR: |
| 98 | { |
| 99 | id.set(0, std::floor(x_src)); |
| 100 | id.set(1, std::floor(y_src)); |
| 101 | if(x_src >= -1 || y_src >= -1 || x_src <= width || y_src <= height) |
| 102 | { |
| 103 | out[element_idx] = bilinear_policy(in, id, x_src, y_src, border_mode, constant_border_value); |
| 104 | } |
| 105 | else |
| 106 | { |
| 107 | if(border_mode == BorderMode::CONSTANT) |
| 108 | { |
| 109 | out[element_idx] = constant_border_value; |
| 110 | } |
| 111 | else if(border_mode == BorderMode::REPLICATE) |
| 112 | { |
| 113 | id.set(0, clamp(static_cast<int>(x_src), 0, width - 1)); |
| 114 | id.set(1, clamp(static_cast<int>(y_src), 0, height - 1)); |
| 115 | out[element_idx] = in[coord2index(in.shape(), id)]; |
| 116 | } |
| 117 | } |
| 118 | break; |
| 119 | } |
| 120 | case InterpolationPolicy::AREA: |
| 121 | { |
| 122 | int x_from = std::floor(idx * wr - 0.5f - x_src); |
| 123 | int y_from = std::floor(idy * hr - 0.5f - y_src); |
| 124 | int x_to = std::ceil((idx + 1) * wr - 0.5f - x_src); |
| 125 | int y_to = std::ceil((idy + 1) * hr - 0.5f - y_src); |
| 126 | const int xi = std::floor(x_src); |
| 127 | const int yi = std::floor(y_src); |
| 128 | |
| 129 | // Clamp position to borders |
| 130 | x_src = std::max(-1.f, std::min(x_src, static_cast<float>(width))); |
| 131 | y_src = std::max(-1.f, std::min(y_src, static_cast<float>(height))); |
| 132 | |
| 133 | // Clamp bounding box offsets to borders |
| 134 | x_from = ((x_src + x_from) < -1) ? -1 : x_from; |
| 135 | y_from = ((y_src + y_from) < -1) ? -1 : y_from; |
| 136 | x_to = ((x_src + x_to) > width) ? (width - x_src) : x_to; |
| 137 | y_to = ((y_src + y_to) > height) ? (height - y_src) : y_to; |
| 138 | ARM_COMPUTE_ERROR_ON((x_to - x_from + 1) == 0 || (y_to - y_from + 1) == 0); |
| 139 | |
| 140 | float sum = 0; |
| 141 | for(int j = yi + y_from, je = yi + y_to; j <= je; ++j) |
| 142 | { |
| 143 | for(int i = xi + x_from, ie = xi + x_to; i <= ie; ++i) |
| 144 | { |
| 145 | id.set(0, static_cast<int>(i)); |
| 146 | id.set(1, static_cast<int>(j)); |
| 147 | sum += tensor_elem_at(in, id, border_mode, constant_border_value); |
| 148 | } |
| 149 | } |
| 150 | out[element_idx] = sum / ((x_to - x_from + 1) * (y_to - y_from + 1)); |
| 151 | |
| 152 | break; |
| 153 | } |
| 154 | default: |
| 155 | ARM_COMPUTE_ERROR("Unsupported interpolation mode"); |
| 156 | } |
| 157 | } |
| 158 | |
| 159 | return out; |
| 160 | } |
| 161 | |
| 162 | template SimpleTensor<uint8_t> scale(const SimpleTensor<uint8_t> &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, uint8_t constant_border_value); |
Georgios Pinitas | 583137c | 2017-08-31 18:12:42 +0100 | [diff] [blame] | 163 | template SimpleTensor<int16_t> scale(const SimpleTensor<int16_t> &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, int16_t constant_border_value); |
| 164 | template SimpleTensor<half> scale(const SimpleTensor<half> &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, half constant_border_value); |
| 165 | template SimpleTensor<float> scale(const SimpleTensor<float> &src, float scale_x, float scale_y, InterpolationPolicy policy, BorderMode border_mode, float constant_border_value); |
Isabella Gottardi | 1fab09f | 2017-07-13 15:55:57 +0100 | [diff] [blame] | 166 | } // namespace reference |
| 167 | } // namespace validation |
| 168 | } // namespace test |
steniu01 | f81652d | 2017-09-11 15:29:12 +0100 | [diff] [blame] | 169 | } // namespace arm_compute |