1 /* 2 * Copyright (c) 2017-2018 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 #ifndef ARM_COMPUTE_TEST_NORMALIZE_PLANAR_YUV_LAYER_DATASET 25 #define ARM_COMPUTE_TEST_NORMALIZE_PLANAR_YUV_LAYER_DATASET 26 27 #include "utils/TypePrinter.h" 28 29 #include "arm_compute/core/TensorShape.h" 30 #include "arm_compute/core/Types.h" 31 32 namespace arm_compute 33 { 34 namespace test 35 { 36 namespace datasets 37 { 38 class NormalizePlanarYUVLayerDataset 39 { 40 public: 41 using type = std::tuple<TensorShape, TensorShape>; 42 43 struct iterator 44 { iteratoriterator45 iterator(std::vector<TensorShape>::const_iterator tensor_it, 46 std::vector<TensorShape>::const_iterator param_it) 47 : _tensor_it{ std::move(tensor_it) }, 48 _param_it{ std::move(param_it) } 49 { 50 } 51 descriptioniterator52 std::string description() const 53 { 54 std::stringstream description; 55 description << "In=" << *_tensor_it << ":"; 56 description << "Out=" << *_tensor_it << ":"; 57 description << "Mean=" << *_param_it << ":"; 58 description << "Std=" << *_param_it << ":"; 59 return description.str(); 60 } 61 62 NormalizePlanarYUVLayerDataset::type operator*() const 63 { 64 return std::make_tuple(*_tensor_it, *_param_it); 65 } 66 67 iterator &operator++() 68 { 69 ++_tensor_it; 70 ++_param_it; 71 72 return *this; 73 } 74 75 private: 76 std::vector<TensorShape>::const_iterator _tensor_it; 77 std::vector<TensorShape>::const_iterator _param_it; 78 }; 79 begin()80 iterator begin() const 81 { 82 return iterator(_tensor_shapes.begin(), _param_shapes.begin()); 83 } 84 size()85 int size() const 86 { 87 return std::min(_tensor_shapes.size(), _param_shapes.size()); 88 } 89 add_config(TensorShape tensor,TensorShape param)90 void add_config(TensorShape tensor, TensorShape param) 91 { 92 _tensor_shapes.emplace_back(std::move(tensor)); 93 _param_shapes.emplace_back(std::move(param)); 94 } 95 96 protected: 97 NormalizePlanarYUVLayerDataset() = default; 98 NormalizePlanarYUVLayerDataset(NormalizePlanarYUVLayerDataset &&) = default; 99 100 private: 101 std::vector<TensorShape> _tensor_shapes{}; 102 std::vector<TensorShape> _param_shapes{}; 103 }; 104 } // namespace datasets 105 } // namespace test 106 } // namespace arm_compute 107 #endif /* ARM_COMPUTE_TEST_NORMALIZE_PLANAR_YUV_LAYER_DATASET */ 108