giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 1 | /* |
Michele Di Giorgio | 4fc10b3 | 2021-04-30 18:30:41 +0100 | [diff] [blame] | 2 | * Copyright (c) 2018-2021 Arm Limited. |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 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_BOUNDINGBOXTRANSFORM_FIXTURE |
| 25 | #define ARM_COMPUTE_TEST_BOUNDINGBOXTRANSFORM_FIXTURE |
| 26 | |
| 27 | #include "arm_compute/core/TensorShape.h" |
| 28 | #include "arm_compute/core/Types.h" |
| 29 | #include "tests/AssetsLibrary.h" |
| 30 | #include "tests/Globals.h" |
| 31 | #include "tests/IAccessor.h" |
| 32 | #include "tests/framework/Asserts.h" |
| 33 | #include "tests/framework/Fixture.h" |
| 34 | #include "tests/validation/Helpers.h" |
| 35 | #include "tests/validation/reference/BoundingBoxTransform.h" |
| 36 | |
| 37 | namespace arm_compute |
| 38 | { |
| 39 | namespace test |
| 40 | { |
| 41 | namespace validation |
| 42 | { |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 43 | namespace |
| 44 | { |
| 45 | std::vector<float> generate_deltas(std::vector<float> &boxes, const TensorShape &image_shape, size_t num_boxes, size_t num_classes, std::mt19937 &gen) |
| 46 | { |
| 47 | std::vector<float> deltas(num_boxes * 4 * num_classes); |
| 48 | |
| 49 | std::uniform_int_distribution<> dist_x1(0, image_shape[0] - 1); |
| 50 | std::uniform_int_distribution<> dist_y1(0, image_shape[1] - 1); |
| 51 | std::uniform_int_distribution<> dist_w(1, image_shape[0]); |
| 52 | std::uniform_int_distribution<> dist_h(1, image_shape[1]); |
| 53 | |
| 54 | for(size_t i = 0; i < num_boxes; ++i) |
| 55 | { |
| 56 | const float ex_width = boxes[4 * i + 2] - boxes[4 * i] + 1.f; |
| 57 | const float ex_height = boxes[4 * i + 3] - boxes[4 * i + 1] + 1.f; |
| 58 | const float ex_ctr_x = boxes[4 * i] + 0.5f * ex_width; |
| 59 | const float ex_ctr_y = boxes[4 * i + 1] + 0.5f * ex_height; |
| 60 | |
| 61 | for(size_t j = 0; j < num_classes; ++j) |
| 62 | { |
| 63 | const float x1 = dist_x1(gen); |
| 64 | const float y1 = dist_y1(gen); |
| 65 | const float width = dist_w(gen); |
| 66 | const float height = dist_h(gen); |
| 67 | const float ctr_x = x1 + 0.5f * width; |
| 68 | const float ctr_y = y1 + 0.5f * height; |
| 69 | |
| 70 | deltas[4 * num_classes * i + 4 * j] = (ctr_x - ex_ctr_x) / ex_width; |
| 71 | deltas[4 * num_classes * i + 4 * j + 1] = (ctr_y - ex_ctr_y) / ex_height; |
| 72 | deltas[4 * num_classes * i + 4 * j + 2] = log(width / ex_width); |
| 73 | deltas[4 * num_classes * i + 4 * j + 3] = log(height / ex_height); |
| 74 | } |
| 75 | } |
| 76 | return deltas; |
| 77 | } |
| 78 | |
| 79 | std::vector<float> generate_boxes(const TensorShape &image_shape, size_t num_boxes, std::mt19937 &gen) |
| 80 | { |
| 81 | std::vector<float> boxes(num_boxes * 4); |
| 82 | |
| 83 | std::uniform_int_distribution<> dist_x1(0, image_shape[0] - 1); |
| 84 | std::uniform_int_distribution<> dist_y1(0, image_shape[1] - 1); |
| 85 | std::uniform_int_distribution<> dist_w(1, image_shape[0]); |
| 86 | std::uniform_int_distribution<> dist_h(1, image_shape[1]); |
| 87 | |
| 88 | for(size_t i = 0; i < num_boxes; ++i) |
| 89 | { |
| 90 | boxes[4 * i] = dist_x1(gen); |
| 91 | boxes[4 * i + 1] = dist_y1(gen); |
| 92 | boxes[4 * i + 2] = boxes[4 * i] + dist_w(gen) - 1; |
| 93 | boxes[4 * i + 3] = boxes[4 * i + 1] + dist_h(gen) - 1; |
| 94 | } |
| 95 | return boxes; |
| 96 | } |
| 97 | } // namespace |
| 98 | |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 99 | template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 100 | class BoundingBoxTransformGenericFixture : public framework::Fixture |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 101 | { |
| 102 | public: |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 103 | using TDeltas = typename std::conditional<std::is_same<typename std::decay<T>::type, uint16_t>::value, uint8_t, T>::type; |
| 104 | |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 105 | template <typename...> |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 106 | void setup(TensorShape deltas_shape, const BoundingBoxTransformInfo &info, DataType data_type, QuantizationInfo deltas_qinfo) |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 107 | { |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 108 | const bool is_qasymm16 = data_type == DataType::QASYMM16; |
| 109 | _data_type_deltas = (is_qasymm16) ? DataType::QASYMM8 : data_type; |
| 110 | _boxes_qinfo = (is_qasymm16) ? QuantizationInfo(.125f, 0) : QuantizationInfo(); |
| 111 | |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 112 | std::mt19937 gen_target(library->seed()); |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 113 | _target = compute_target(deltas_shape, data_type, info, gen_target, deltas_qinfo); |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 114 | |
| 115 | std::mt19937 gen_reference(library->seed()); |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 116 | _reference = compute_reference(deltas_shape, data_type, info, gen_reference, deltas_qinfo); |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 117 | } |
| 118 | |
| 119 | protected: |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 120 | template <typename data_type, typename U> |
| 121 | void fill(U &&tensor, std::vector<float> values) |
| 122 | { |
| 123 | data_type *data_ptr = reinterpret_cast<data_type *>(tensor.data()); |
| 124 | switch(tensor.data_type()) |
| 125 | { |
| 126 | case DataType::QASYMM8: |
| 127 | for(size_t i = 0; i < values.size(); ++i) |
| 128 | { |
| 129 | data_ptr[i] = quantize_qasymm8(values[i], tensor.quantization_info()); |
| 130 | } |
| 131 | break; |
| 132 | case DataType::QASYMM16: |
| 133 | for(size_t i = 0; i < values.size(); ++i) |
| 134 | { |
| 135 | data_ptr[i] = quantize_qasymm16(values[i], tensor.quantization_info()); |
| 136 | } |
| 137 | break; |
| 138 | default: |
| 139 | for(size_t i = 0; i < values.size(); ++i) |
| 140 | { |
| 141 | data_ptr[i] = static_cast<data_type>(values[i]); |
| 142 | } |
| 143 | } |
| 144 | } |
| 145 | |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 146 | TensorType compute_target(const TensorShape &deltas_shape, DataType data_type, |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 147 | const BoundingBoxTransformInfo &bbox_info, std::mt19937 &gen, |
| 148 | QuantizationInfo deltas_qinfo) |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 149 | { |
| 150 | // Create tensors |
| 151 | TensorShape boxes_shape(4, deltas_shape[1]); |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 152 | TensorType deltas = create_tensor<TensorType>(deltas_shape, _data_type_deltas, 1, deltas_qinfo); |
| 153 | TensorType boxes = create_tensor<TensorType>(boxes_shape, data_type, 1, _boxes_qinfo); |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 154 | TensorType pred_boxes; |
| 155 | |
| 156 | // Create and configure function |
| 157 | FunctionType bbox_transform; |
| 158 | bbox_transform.configure(&boxes, &pred_boxes, &deltas, bbox_info); |
| 159 | |
Michele Di Giorgio | 4fc10b3 | 2021-04-30 18:30:41 +0100 | [diff] [blame] | 160 | ARM_COMPUTE_ASSERT(deltas.info()->is_resizable()); |
| 161 | ARM_COMPUTE_ASSERT(boxes.info()->is_resizable()); |
| 162 | ARM_COMPUTE_ASSERT(pred_boxes.info()->is_resizable()); |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 163 | |
| 164 | // Allocate tensors |
| 165 | deltas.allocator()->allocate(); |
| 166 | boxes.allocator()->allocate(); |
| 167 | pred_boxes.allocator()->allocate(); |
| 168 | |
Michele Di Giorgio | 4fc10b3 | 2021-04-30 18:30:41 +0100 | [diff] [blame] | 169 | ARM_COMPUTE_ASSERT(!deltas.info()->is_resizable()); |
| 170 | ARM_COMPUTE_ASSERT(!boxes.info()->is_resizable()); |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 171 | |
| 172 | // Fill tensors |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 173 | TensorShape img_shape(bbox_info.scale() * bbox_info.img_width(), bbox_info.scale() * bbox_info.img_height()); |
| 174 | std::vector<float> boxes_vec = generate_boxes(img_shape, boxes_shape[1], gen); |
| 175 | std::vector<float> deltas_vec = generate_deltas(boxes_vec, img_shape, deltas_shape[1], deltas_shape[0] / 4, gen); |
| 176 | fill<T>(AccessorType(boxes), boxes_vec); |
| 177 | fill<TDeltas>(AccessorType(deltas), deltas_vec); |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 178 | |
| 179 | // Compute function |
| 180 | bbox_transform.run(); |
| 181 | |
| 182 | return pred_boxes; |
| 183 | } |
| 184 | |
| 185 | SimpleTensor<T> compute_reference(const TensorShape &deltas_shape, |
| 186 | DataType data_type, |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 187 | const BoundingBoxTransformInfo &bbox_info, |
| 188 | std::mt19937 &gen, |
| 189 | QuantizationInfo deltas_qinfo) |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 190 | { |
| 191 | // Create reference tensor |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 192 | TensorShape boxes_shape(4, deltas_shape[1]); |
| 193 | SimpleTensor<T> boxes{ boxes_shape, data_type, 1, _boxes_qinfo }; |
| 194 | SimpleTensor<TDeltas> deltas{ deltas_shape, _data_type_deltas, 1, deltas_qinfo }; |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 195 | |
| 196 | // Fill reference tensor |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 197 | TensorShape img_shape(bbox_info.scale() * bbox_info.img_width(), bbox_info.scale() * bbox_info.img_height()); |
| 198 | std::vector<float> boxes_vec = generate_boxes(img_shape, boxes_shape[1], gen); |
| 199 | std::vector<float> deltas_vec = generate_deltas(boxes_vec, img_shape, deltas_shape[1], deltas_shape[0] / 4, gen); |
| 200 | fill<T>(boxes, boxes_vec); |
| 201 | fill<TDeltas>(deltas, deltas_vec); |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 202 | |
| 203 | return reference::bounding_box_transform(boxes, deltas, bbox_info); |
| 204 | } |
| 205 | |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 206 | TensorType _target{}; |
| 207 | SimpleTensor<T> _reference{}; |
| 208 | DataType _data_type_deltas{}; |
| 209 | QuantizationInfo _boxes_qinfo{}; |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 210 | |
| 211 | private: |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 212 | }; |
| 213 | |
Michele Di Giorgio | 4aff98f | 2019-08-28 16:27:26 +0100 | [diff] [blame] | 214 | template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| 215 | class BoundingBoxTransformFixture : public BoundingBoxTransformGenericFixture<TensorType, AccessorType, FunctionType, T> |
| 216 | { |
| 217 | public: |
| 218 | template <typename...> |
| 219 | void setup(TensorShape deltas_shape, const BoundingBoxTransformInfo &info, DataType data_type) |
| 220 | { |
| 221 | BoundingBoxTransformGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(deltas_shape, info, data_type, QuantizationInfo()); |
| 222 | } |
| 223 | |
| 224 | private: |
| 225 | }; |
| 226 | |
| 227 | template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| 228 | class BoundingBoxTransformQuantizedFixture : public BoundingBoxTransformGenericFixture<TensorType, AccessorType, FunctionType, T> |
| 229 | { |
| 230 | public: |
| 231 | template <typename...> |
| 232 | void setup(TensorShape deltas_shape, const BoundingBoxTransformInfo &info, DataType data_type, QuantizationInfo deltas_qinfo) |
| 233 | { |
| 234 | BoundingBoxTransformGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(deltas_shape, info, data_type, deltas_qinfo); |
| 235 | } |
| 236 | }; |
giuros01 | c04a0e8 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 237 | } // namespace validation |
| 238 | } // namespace test |
| 239 | } // namespace arm_compute |
| 240 | #endif /* ARM_COMPUTE_TEST_BOUNDINGBOXTRANSFORM_FIXTURE */ |