giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2018 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 "arm_compute/runtime/CL/CLScheduler.h" |
| 25 | #include "arm_compute/runtime/CL/functions/CLComputeAllAnchors.h" |
| 26 | #include "arm_compute/runtime/CL/functions/CLGenerateProposalsLayer.h" |
| 27 | #include "arm_compute/runtime/CL/functions/CLSlice.h" |
| 28 | #include "tests/CL/CLAccessor.h" |
| 29 | #include "tests/CL/CLArrayAccessor.h" |
| 30 | #include "tests/Globals.h" |
| 31 | #include "tests/framework/Macros.h" |
| 32 | #include "tests/framework/datasets/Datasets.h" |
| 33 | #include "tests/validation/Validation.h" |
| 34 | #include "tests/validation/fixtures/ComputeAllAnchorsFixture.h" |
| 35 | #include "utils/TypePrinter.h" |
| 36 | |
| 37 | namespace arm_compute |
| 38 | { |
| 39 | namespace test |
| 40 | { |
| 41 | namespace validation |
| 42 | { |
| 43 | namespace |
| 44 | { |
| 45 | template <typename U, typename T> |
| 46 | inline void fill_tensor(U &&tensor, const std::vector<T> &v) |
| 47 | { |
| 48 | std::memcpy(tensor.data(), v.data(), sizeof(T) * v.size()); |
| 49 | } |
| 50 | |
| 51 | const auto ComputeAllInfoDataset = framework::dataset::make("ComputeAllInfo", |
| 52 | { |
| 53 | ComputeAnchorsInfo(10U, 10U, 1. / 16.f), |
| 54 | ComputeAnchorsInfo(100U, 1U, 1. / 2.f), |
| 55 | ComputeAnchorsInfo(100U, 1U, 1. / 4.f), |
| 56 | ComputeAnchorsInfo(100U, 100U, 1. / 4.f), |
| 57 | |
| 58 | }); |
| 59 | } // namespace |
| 60 | |
| 61 | TEST_SUITE(CL) |
| 62 | TEST_SUITE(GenerateProposals) |
| 63 | |
| 64 | // *INDENT-OFF* |
| 65 | // clang-format off |
| 66 | DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(zip(zip(zip( |
| 67 | framework::dataset::make("scores", { TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F32), |
| 68 | TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), // Mismatching types |
| 69 | TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), // Wrong deltas (number of transformation non multiple of 4) |
| 70 | TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), // Wrong anchors (number of values per roi != 5) |
Michele Di Giorgio | c8df89f | 2018-11-16 10:02:26 +0000 | [diff] [blame] | 71 | TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16), // Output tensor num_valid_proposals not scalar |
| 72 | TensorInfo(TensorShape(100U, 100U, 9U), 1, DataType::F16)}), // num_valid_proposals not U32 |
giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 73 | framework::dataset::make("deltas",{ TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32), |
| 74 | TensorInfo(TensorShape(100U, 100U, 36U), 1, DataType::F32), |
| 75 | TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), |
| 76 | TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), |
Michele Di Giorgio | c8df89f | 2018-11-16 10:02:26 +0000 | [diff] [blame] | 77 | TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32), |
giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 78 | TensorInfo(TensorShape(100U, 100U, 38U), 1, DataType::F32)})), |
| 79 | framework::dataset::make("anchors", { TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), |
| 80 | TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), |
| 81 | TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), |
| 82 | TensorInfo(TensorShape(5U, 9U), 1, DataType::F32), |
Michele Di Giorgio | c8df89f | 2018-11-16 10:02:26 +0000 | [diff] [blame] | 83 | TensorInfo(TensorShape(4U, 9U), 1, DataType::F32), |
giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 84 | TensorInfo(TensorShape(4U, 9U), 1, DataType::F32)})), |
| 85 | framework::dataset::make("proposals", { TensorInfo(TensorShape(5U, 100U*100U*9U), 1, DataType::F32), |
| 86 | TensorInfo(TensorShape(5U, 100U*100U*9U), 1, DataType::F32), |
| 87 | TensorInfo(TensorShape(5U, 100U*100U*9U), 1, DataType::F32), |
| 88 | TensorInfo(TensorShape(5U, 100U*100U*9U), 1, DataType::F32), |
Michele Di Giorgio | c8df89f | 2018-11-16 10:02:26 +0000 | [diff] [blame] | 89 | TensorInfo(TensorShape(5U, 100U*100U*9U), 1, DataType::F32), |
giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 90 | TensorInfo(TensorShape(5U, 100U*100U*9U), 1, DataType::F32)})), |
| 91 | framework::dataset::make("scores_out", { TensorInfo(TensorShape(100U*100U*9U), 1, DataType::F32), |
| 92 | TensorInfo(TensorShape(100U*100U*9U), 1, DataType::F32), |
| 93 | TensorInfo(TensorShape(100U*100U*9U), 1, DataType::F32), |
| 94 | TensorInfo(TensorShape(100U*100U*9U), 1, DataType::F32), |
Michele Di Giorgio | c8df89f | 2018-11-16 10:02:26 +0000 | [diff] [blame] | 95 | TensorInfo(TensorShape(100U*100U*9U), 1, DataType::F32), |
giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 96 | TensorInfo(TensorShape(100U*100U*9U), 1, DataType::F32)})), |
| 97 | framework::dataset::make("num_valid_proposals", { TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), |
| 98 | TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), |
| 99 | TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), |
| 100 | TensorInfo(TensorShape(1U, 1U), 1, DataType::U32), |
Michele Di Giorgio | c8df89f | 2018-11-16 10:02:26 +0000 | [diff] [blame] | 101 | TensorInfo(TensorShape(1U, 10U), 1, DataType::U32), |
| 102 | TensorInfo(TensorShape(1U, 1U), 1, DataType::F16)})), |
giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 103 | framework::dataset::make("generate_proposals_info", { GenerateProposalsInfo(10.f, 10.f, 1.f), |
| 104 | GenerateProposalsInfo(10.f, 10.f, 1.f), |
| 105 | GenerateProposalsInfo(10.f, 10.f, 1.f), |
| 106 | GenerateProposalsInfo(10.f, 10.f, 1.f), |
Michele Di Giorgio | c8df89f | 2018-11-16 10:02:26 +0000 | [diff] [blame] | 107 | GenerateProposalsInfo(10.f, 10.f, 1.f), |
giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 108 | GenerateProposalsInfo(10.f, 10.f, 1.f)})), |
Michele Di Giorgio | c8df89f | 2018-11-16 10:02:26 +0000 | [diff] [blame] | 109 | framework::dataset::make("Expected", { true, false, false, false, false, false })), |
giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 110 | scores, deltas, anchors, proposals, scores_out, num_valid_proposals, generate_proposals_info, expected) |
| 111 | { |
| 112 | ARM_COMPUTE_EXPECT(bool(CLGenerateProposalsLayer::validate(&scores.clone()->set_is_resizable(true), |
| 113 | &deltas.clone()->set_is_resizable(true), |
| 114 | &anchors.clone()->set_is_resizable(true), |
| 115 | &proposals.clone()->set_is_resizable(true), |
| 116 | &scores_out.clone()->set_is_resizable(true), |
| 117 | &num_valid_proposals.clone()->set_is_resizable(true), |
| 118 | generate_proposals_info)) == expected, framework::LogLevel::ERRORS); |
| 119 | } |
| 120 | // clang-format on |
| 121 | // *INDENT-ON* |
| 122 | |
| 123 | template <typename T> |
| 124 | using CLComputeAllAnchorsFixture = ComputeAllAnchorsFixture<CLTensor, CLAccessor, CLComputeAllAnchors, T>; |
| 125 | |
| 126 | TEST_SUITE(Float) |
| 127 | TEST_SUITE(FP32) |
| 128 | DATA_TEST_CASE(IntegrationTestCaseAllAnchors, framework::DatasetMode::ALL, framework::dataset::make("DataType", { DataType::F32 }), |
| 129 | data_type) |
| 130 | { |
| 131 | const int values_per_roi = 4; |
| 132 | const int num_anchors = 3; |
| 133 | const int feature_height = 4; |
| 134 | const int feature_width = 3; |
| 135 | |
| 136 | SimpleTensor<float> anchors_expected(TensorShape(values_per_roi, feature_width * feature_height * num_anchors), DataType::F32); |
| 137 | fill_tensor(anchors_expected, std::vector<float> { -38, -16, 53, 31, -84, -40, 99, 55, -176, -88, 191, 103, |
| 138 | -22, -16, 69, 31, -68, -40, 115, 55, -160, -88, 207, 103, |
| 139 | -6, -16, 85, 31, -52, -40, 131, 55, -144, -88, 223, 103, -38, |
| 140 | 0, 53, 47, -84, -24, 99, 71, |
| 141 | -176, -72, 191, 119, -22, 0, 69, 47, -68, -24, 115, 71, -160, -72, 207, |
| 142 | 119, -6, 0, 85, 47, -52, -24, 131, 71, -144, -72, 223, 119, -38, 16, 53, |
| 143 | 63, -84, -8, 99, 87, -176, -56, 191, 135, -22, 16, 69, 63, -68, -8, 115, |
| 144 | 87, -160, -56, 207, 135, -6, 16, 85, 63, -52, -8, 131, 87, -144, -56, 223, |
| 145 | 135, -38, 32, 53, 79, -84, 8, 99, 103, -176, -40, 191, 151, -22, 32, 69, |
| 146 | 79, -68, 8, 115, 103, -160, -40, 207, 151, -6, 32, 85, 79, -52, 8, 131, |
| 147 | 103, -144, -40, 223, 151 |
| 148 | }); |
| 149 | |
| 150 | CLTensor all_anchors; |
| 151 | CLTensor anchors = create_tensor<CLTensor>(TensorShape(4, num_anchors), data_type); |
| 152 | |
| 153 | // Create and configure function |
| 154 | CLComputeAllAnchors compute_anchors; |
| 155 | compute_anchors.configure(&anchors, &all_anchors, ComputeAnchorsInfo(feature_width, feature_height, 1. / 16.0)); |
| 156 | anchors.allocator()->allocate(); |
| 157 | all_anchors.allocator()->allocate(); |
| 158 | |
| 159 | fill_tensor(CLAccessor(anchors), std::vector<float> { -38, -16, 53, 31, |
| 160 | -84, -40, 99, 55, |
| 161 | -176, -88, 191, 103 |
| 162 | }); |
| 163 | // Compute function |
| 164 | compute_anchors.run(); |
| 165 | validate(CLAccessor(all_anchors), anchors_expected); |
| 166 | } |
| 167 | |
| 168 | DATA_TEST_CASE(IntegrationTestCaseGenerateProposals, framework::DatasetMode::ALL, framework::dataset::make("DataType", { DataType::F32 }), |
| 169 | data_type) |
| 170 | { |
| 171 | const int values_per_roi = 4; |
| 172 | const int num_anchors = 2; |
| 173 | const int feature_height = 4; |
| 174 | const int feature_width = 5; |
| 175 | |
| 176 | std::vector<float> scores_vector |
| 177 | { |
| 178 | 5.44218998e-03f, 1.19207997e-03f, 1.12379994e-03f, 1.17181998e-03f, |
| 179 | 1.20544003e-03f, 6.17993006e-04f, 1.05261997e-05f, 8.91025957e-06f, |
| 180 | 9.29536981e-09f, 6.09605013e-05f, 4.72735002e-04f, 1.13482002e-10f, |
| 181 | 1.50015003e-05f, 4.45032993e-06f, 3.21612994e-08f, 8.02662980e-04f, |
| 182 | 1.40488002e-04f, 3.12508007e-07f, 3.02616991e-06f, 1.97759000e-08f, |
| 183 | 2.66913995e-02f, 5.26766013e-03f, 5.05053019e-03f, 5.62100019e-03f, |
| 184 | 5.37420018e-03f, 5.26280981e-03f, 2.48894998e-04f, 1.06842002e-04f, |
| 185 | 3.92931997e-06f, 1.79388002e-03f, 4.79440019e-03f, 3.41609990e-07f, |
| 186 | 5.20430971e-04f, 3.34090000e-05f, 2.19159006e-07f, 2.28786003e-03f, |
| 187 | 5.16703985e-05f, 4.04523007e-06f, 1.79227004e-06f, 5.32449000e-08f |
| 188 | }; |
| 189 | |
| 190 | std::vector<float> bbx_vector |
| 191 | { |
| 192 | -1.65040009e-02f, -1.84051003e-02f, -1.85930002e-02f, -2.08263006e-02f, |
| 193 | -1.83814000e-02f, -2.89172009e-02f, -3.89706008e-02f, -7.52277970e-02f, |
| 194 | -1.54091999e-01f, -2.55433004e-02f, -1.77490003e-02f, -1.10340998e-01f, |
| 195 | -4.20190990e-02f, -2.71421000e-02f, 6.89801015e-03f, 5.71171008e-02f, |
| 196 | -1.75665006e-01f, 2.30021998e-02f, 3.08554992e-02f, -1.39333997e-02f, |
| 197 | 3.40579003e-01f, 3.91070992e-01f, 3.91624004e-01f, 3.92527014e-01f, |
| 198 | 3.91445011e-01f, 3.79328012e-01f, 4.26631987e-01f, 3.64892989e-01f, |
| 199 | 2.76894987e-01f, 5.13985991e-01f, 3.79999995e-01f, 1.80457994e-01f, |
| 200 | 4.37402993e-01f, 4.18545991e-01f, 2.51549989e-01f, 4.48318988e-01f, |
| 201 | 1.68564007e-01f, 4.65440989e-01f, 4.21891987e-01f, 4.45928007e-01f, |
| 202 | 3.27155995e-03f, 3.71480011e-03f, 3.60032008e-03f, 4.27092984e-03f, |
| 203 | 3.74579988e-03f, 5.95752988e-03f, -3.14473989e-03f, 3.52022005e-03f, |
| 204 | -1.88564006e-02f, 1.65188999e-03f, 1.73791999e-03f, -3.56074013e-02f, |
| 205 | -1.66615995e-04f, 3.14146001e-03f, -1.11830998e-02f, -5.35363983e-03f, |
| 206 | 6.49790000e-03f, -9.27671045e-03f, -2.83346009e-02f, -1.61233004e-02f, |
| 207 | -2.15505004e-01f, -2.19910994e-01f, -2.20872998e-01f, -2.12831005e-01f, |
| 208 | -2.19145000e-01f, -2.27687001e-01f, -3.43973994e-01f, -2.75869995e-01f, |
| 209 | -3.19516987e-01f, -2.50418007e-01f, -2.48537004e-01f, -5.08224010e-01f, |
| 210 | -2.28724003e-01f, -2.82402009e-01f, -3.75815988e-01f, -2.86352992e-01f, |
| 211 | -5.28333001e-02f, -4.43836004e-01f, -4.55134988e-01f, -4.34897989e-01f, |
| 212 | -5.65053988e-03f, -9.25739005e-04f, -1.06790999e-03f, -2.37016007e-03f, |
| 213 | -9.71166010e-04f, -8.90910998e-03f, -1.17592998e-02f, -2.08992008e-02f, |
| 214 | -4.94231991e-02f, 6.63906988e-03f, 3.20469006e-03f, -6.44695014e-02f, |
| 215 | -3.11607006e-03f, 2.02738005e-03f, 1.48096997e-02f, 4.39785011e-02f, |
| 216 | -8.28424022e-02f, 3.62076014e-02f, 2.71668993e-02f, 1.38250999e-02f, |
| 217 | 6.76669031e-02f, 1.03252999e-01f, 1.03255004e-01f, 9.89722982e-02f, |
| 218 | 1.03646003e-01f, 4.79663983e-02f, 1.11014001e-01f, 9.31736007e-02f, |
| 219 | 1.15768999e-01f, 1.04014002e-01f, -8.90677981e-03f, 1.13103002e-01f, |
| 220 | 1.33085996e-01f, 1.25405997e-01f, 1.50051996e-01f, -1.13038003e-01f, |
| 221 | 7.01059997e-02f, 1.79651007e-01f, 1.41055003e-01f, 1.62841007e-01f, |
| 222 | -1.00247003e-02f, -8.17587040e-03f, -8.32176022e-03f, -8.90108012e-03f, |
| 223 | -8.13035015e-03f, -1.77263003e-02f, -3.69572006e-02f, -3.51580009e-02f, |
| 224 | -5.92143014e-02f, -1.80795006e-02f, -5.46086021e-03f, -4.10550982e-02f, |
| 225 | -1.83081999e-02f, -2.15411000e-02f, -1.17953997e-02f, 3.33894007e-02f, |
| 226 | -5.29635996e-02f, -6.97528012e-03f, -3.15250992e-03f, -3.27355005e-02f, |
| 227 | 1.29676998e-01f, 1.16080999e-01f, 1.15947001e-01f, 1.21797003e-01f, |
| 228 | 1.16089001e-01f, 1.44875005e-01f, 1.15617000e-01f, 1.31586999e-01f, |
| 229 | 1.74735002e-02f, 1.21973999e-01f, 1.31596997e-01f, 2.48907991e-02f, |
| 230 | 6.18605018e-02f, 1.12855002e-01f, -6.99798986e-02f, 9.58312973e-02f, |
| 231 | 1.53593004e-01f, -8.75087008e-02f, -4.92327996e-02f, -3.32239009e-02f |
| 232 | }; |
| 233 | |
| 234 | std::vector<float> anchors_vector{ -38, -16, 53, 31, |
| 235 | -120, -120, 135, 135 }; |
| 236 | |
| 237 | SimpleTensor<float> proposals_expected(TensorShape(5, 9), DataType::F32); |
| 238 | fill_tensor(proposals_expected, std::vector<float> { 0, 0, 0, 79, 59, |
| 239 | 0, 0, 5.0005703f, 52.63237f, 43.69501495f, |
| 240 | 0, 24.13628387f, 7.51243401f, 79, 46.06628418f, |
| 241 | 0, 0, 7.50924301f, 68.47792816f, 46.03357315f, |
| 242 | 0, 0, 23.09477997f, 51.61448669f, 59, |
| 243 | 0, 0, 39.52141571f, 52.44710541f, 59, |
| 244 | 0, 23.57396317f, 29.98791885f, 79, 59, |
| 245 | 0, 0, 41.90219116f, 79, 59, |
| 246 | 0, 0, 23.30098343f, 79, 59 |
| 247 | }); |
| 248 | |
| 249 | SimpleTensor<float> scores_expected(TensorShape(9), DataType::F32); |
| 250 | fill_tensor(scores_expected, std::vector<float> |
| 251 | { |
| 252 | 2.66913995e-02f, |
| 253 | 5.44218998e-03f, |
| 254 | 1.20544003e-03f, |
| 255 | 1.19207997e-03f, |
| 256 | 6.17993006e-04f, |
| 257 | 4.72735002e-04f, |
| 258 | 6.09605013e-05f, |
| 259 | 1.50015003e-05f, |
| 260 | 8.91025957e-06f |
| 261 | }); |
| 262 | |
| 263 | // Inputs |
| 264 | CLTensor scores = create_tensor<CLTensor>(TensorShape(feature_width, feature_height, num_anchors), data_type); |
| 265 | CLTensor bbox_deltas = create_tensor<CLTensor>(TensorShape(feature_width, feature_height, values_per_roi * num_anchors), data_type); |
| 266 | CLTensor anchors = create_tensor<CLTensor>(TensorShape(values_per_roi, num_anchors), data_type); |
| 267 | |
| 268 | // Outputs |
| 269 | CLTensor proposals; |
| 270 | CLTensor num_valid_proposals; |
| 271 | CLTensor scores_out; |
Michele Di Giorgio | c8df89f | 2018-11-16 10:02:26 +0000 | [diff] [blame] | 272 | num_valid_proposals.allocator()->init(TensorInfo(TensorShape(1), 1, DataType::U32)); |
giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 273 | |
| 274 | CLGenerateProposalsLayer generate_proposals; |
| 275 | generate_proposals.configure(&scores, &bbox_deltas, &anchors, &proposals, &scores_out, &num_valid_proposals, |
| 276 | GenerateProposalsInfo(80, 60, 0.166667f, 1 / 16.0, 6000, 300, 0.7f, 16.0f)); |
| 277 | |
| 278 | // Allocate memory for input/output tensors |
| 279 | scores.allocator()->allocate(); |
| 280 | bbox_deltas.allocator()->allocate(); |
| 281 | anchors.allocator()->allocate(); |
| 282 | proposals.allocator()->allocate(); |
| 283 | num_valid_proposals.allocator()->allocate(); |
| 284 | scores_out.allocator()->allocate(); |
| 285 | |
| 286 | // Fill inputs |
| 287 | fill_tensor(CLAccessor(scores), scores_vector); |
| 288 | fill_tensor(CLAccessor(bbox_deltas), bbx_vector); |
| 289 | fill_tensor(CLAccessor(anchors), anchors_vector); |
| 290 | |
| 291 | // Run operator |
| 292 | generate_proposals.run(); |
| 293 | |
| 294 | // Gather num_valid_proposals |
| 295 | num_valid_proposals.map(); |
Michele Di Giorgio | c8df89f | 2018-11-16 10:02:26 +0000 | [diff] [blame] | 296 | const uint32_t N = *reinterpret_cast<uint32_t *>(num_valid_proposals.ptr_to_element(Coordinates(0, 0))); |
giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 297 | num_valid_proposals.unmap(); |
| 298 | |
| 299 | // Select the first N entries of the proposals |
| 300 | CLTensor proposals_final; |
| 301 | CLSlice select_proposals; |
Michele Di Giorgio | c8df89f | 2018-11-16 10:02:26 +0000 | [diff] [blame] | 302 | select_proposals.configure(&proposals, &proposals_final, Coordinates(0, 0), Coordinates(values_per_roi + 1, N)); |
giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 303 | proposals_final.allocator()->allocate(); |
| 304 | select_proposals.run(); |
| 305 | |
| 306 | // Select the first N entries of the proposals |
| 307 | CLTensor scores_final; |
| 308 | CLSlice select_scores; |
Michele Di Giorgio | c8df89f | 2018-11-16 10:02:26 +0000 | [diff] [blame] | 309 | select_scores.configure(&scores_out, &scores_final, Coordinates(0), Coordinates(N)); |
giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 310 | scores_final.allocator()->allocate(); |
| 311 | select_scores.run(); |
| 312 | |
Michele Di Giorgio | c8df89f | 2018-11-16 10:02:26 +0000 | [diff] [blame] | 313 | const RelativeTolerance<float> tolerance_f32(1e-6f); |
giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 314 | // Validate the output |
Michele Di Giorgio | c8df89f | 2018-11-16 10:02:26 +0000 | [diff] [blame] | 315 | validate(CLAccessor(proposals_final), proposals_expected, tolerance_f32); |
| 316 | validate(CLAccessor(scores_final), scores_expected, tolerance_f32); |
giuros01 | cd96a26 | 2018-10-03 12:44:35 +0100 | [diff] [blame] | 317 | } |
| 318 | |
| 319 | FIXTURE_DATA_TEST_CASE(ComputeAllAnchors, CLComputeAllAnchorsFixture<float>, framework::DatasetMode::ALL, |
| 320 | combine(combine(framework::dataset::make("NumAnchors", { 2, 4, 8 }), ComputeAllInfoDataset), framework::dataset::make("DataType", { DataType::F32 }))) |
| 321 | { |
| 322 | // Validate output |
| 323 | validate(CLAccessor(_target), _reference); |
| 324 | } |
| 325 | TEST_SUITE_END() // FP32 |
| 326 | |
| 327 | TEST_SUITE(FP16) |
| 328 | FIXTURE_DATA_TEST_CASE(ComputeAllAnchors, CLComputeAllAnchorsFixture<half>, framework::DatasetMode::ALL, |
| 329 | combine(combine(framework::dataset::make("NumAnchors", { 2, 4, 8 }), ComputeAllInfoDataset), framework::dataset::make("DataType", { DataType::F16 }))) |
| 330 | { |
| 331 | // Validate output |
| 332 | validate(CLAccessor(_target), _reference); |
| 333 | } |
| 334 | TEST_SUITE_END() // FP16 |
| 335 | TEST_SUITE_END() // Float |
| 336 | |
| 337 | TEST_SUITE_END() // GenerateProposals |
| 338 | TEST_SUITE_END() // CL |
| 339 | |
| 340 | } // namespace validation |
| 341 | } // namespace test |
| 342 | } // namespace arm_compute |