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 #ifndef ARM_COMPUTE_TEST_BATCHNORMALIZATION_LAYER_DATASET 25 #define ARM_COMPUTE_TEST_BATCHNORMALIZATION_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 BatchNormalizationLayerDataset 39 { 40 public: 41 using type = std::tuple<TensorShape, TensorShape, float>; 42 43 struct iterator 44 { iteratoriterator45 iterator(std::vector<TensorShape>::const_iterator tensor_it, 46 std::vector<TensorShape>::const_iterator param_it, 47 std::vector<float>::const_iterator epsilon_it) 48 : _tensor_it{ std::move(tensor_it) }, 49 _param_it{ std::move(param_it) }, 50 _epsilon_it{ std::move(epsilon_it) } 51 { 52 } 53 descriptioniterator54 std::string description() const 55 { 56 std::stringstream description; 57 description << "In=" << *_tensor_it << ":"; 58 description << "Out=" << *_tensor_it << ":"; 59 description << "Mean=" << *_param_it << ":"; 60 description << "Variance=" << *_param_it << ":"; 61 description << "Beta=" << *_param_it << ":"; 62 description << "Gamma=" << *_param_it << ":"; 63 description << "Epsilon=" << *_epsilon_it; 64 return description.str(); 65 } 66 67 BatchNormalizationLayerDataset::type operator*() const 68 { 69 return std::make_tuple(*_tensor_it, *_param_it, *_epsilon_it); 70 } 71 72 iterator &operator++() 73 { 74 ++_tensor_it; 75 ++_param_it; 76 ++_epsilon_it; 77 78 return *this; 79 } 80 81 private: 82 std::vector<TensorShape>::const_iterator _tensor_it; 83 std::vector<TensorShape>::const_iterator _param_it; 84 std::vector<float>::const_iterator _epsilon_it; 85 }; 86 begin()87 iterator begin() const 88 { 89 return iterator(_tensor_shapes.begin(), _param_shapes.begin(), _epsilons.begin()); 90 } 91 size()92 int size() const 93 { 94 return std::min(_tensor_shapes.size(), std::min(_param_shapes.size(), _epsilons.size())); 95 } 96 add_config(TensorShape tensor,TensorShape param,float epsilon)97 void add_config(TensorShape tensor, TensorShape param, float epsilon) 98 { 99 _tensor_shapes.emplace_back(std::move(tensor)); 100 _param_shapes.emplace_back(std::move(param)); 101 _epsilons.emplace_back(std::move(epsilon)); 102 } 103 104 protected: 105 BatchNormalizationLayerDataset() = default; 106 BatchNormalizationLayerDataset(BatchNormalizationLayerDataset &&) = default; 107 108 private: 109 std::vector<TensorShape> _tensor_shapes{}; 110 std::vector<TensorShape> _param_shapes{}; 111 std::vector<float> _epsilons{}; 112 }; 113 } // namespace datasets 114 } // namespace test 115 } // namespace arm_compute 116 #endif /* ARM_COMPUTE_TEST_BATCHNORMALIZATION_LAYER_DATASET */ 117