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 #ifndef ARM_COMPUTE_TEST_RNN_LAYER_DATASET 25 #define ARM_COMPUTE_TEST_RNN_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 RNNLayerDataset 39 { 40 public: 41 using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape, TensorShape, ActivationLayerInfo>; 42 43 struct iterator 44 { iteratoriterator45 iterator(std::vector<TensorShape>::const_iterator src_it, 46 std::vector<TensorShape>::const_iterator weights_it, 47 std::vector<TensorShape>::const_iterator recurrent_weights_it, 48 std::vector<TensorShape>::const_iterator biases_it, 49 std::vector<TensorShape>::const_iterator dst_it, 50 std::vector<ActivationLayerInfo>::const_iterator infos_it) 51 : _src_it{ std::move(src_it) }, 52 _weights_it{ std::move(weights_it) }, 53 _recurrent_weights_it{ std::move(recurrent_weights_it) }, 54 _biases_it{ std::move(biases_it) }, 55 _dst_it{ std::move(dst_it) }, 56 _infos_it{ std::move(infos_it) } 57 { 58 } 59 descriptioniterator60 std::string description() const 61 { 62 std::stringstream description; 63 description << "In=" << *_src_it << ":"; 64 description << "Weights=" << *_weights_it << ":"; 65 description << "Biases=" << *_biases_it << ":"; 66 description << "Out=" << *_dst_it; 67 return description.str(); 68 } 69 70 RNNLayerDataset::type operator*() const 71 { 72 return std::make_tuple(*_src_it, *_weights_it, *_recurrent_weights_it, *_biases_it, *_dst_it, *_infos_it); 73 } 74 75 iterator &operator++() 76 { 77 ++_src_it; 78 ++_weights_it; 79 ++_recurrent_weights_it; 80 ++_biases_it; 81 ++_dst_it; 82 ++_infos_it; 83 84 return *this; 85 } 86 87 private: 88 std::vector<TensorShape>::const_iterator _src_it; 89 std::vector<TensorShape>::const_iterator _weights_it; 90 std::vector<TensorShape>::const_iterator _recurrent_weights_it; 91 std::vector<TensorShape>::const_iterator _biases_it; 92 std::vector<TensorShape>::const_iterator _dst_it; 93 std::vector<ActivationLayerInfo>::const_iterator _infos_it; 94 }; 95 begin()96 iterator begin() const 97 { 98 return iterator(_src_shapes.begin(), _weight_shapes.begin(), _recurrent_weight_shapes.begin(), _bias_shapes.begin(), _dst_shapes.begin(), _infos.begin()); 99 } 100 size()101 int size() const 102 { 103 return std::min(_src_shapes.size(), std::min(_weight_shapes.size(), std::min(_recurrent_weight_shapes.size(), std::min(_bias_shapes.size(), std::min(_dst_shapes.size(), _infos.size()))))); 104 } 105 add_config(TensorShape src,TensorShape weights,TensorShape recurrent_weights,TensorShape biases,TensorShape dst,ActivationLayerInfo info)106 void add_config(TensorShape src, TensorShape weights, TensorShape recurrent_weights, TensorShape biases, TensorShape dst, ActivationLayerInfo info) 107 { 108 _src_shapes.emplace_back(std::move(src)); 109 _weight_shapes.emplace_back(std::move(weights)); 110 _recurrent_weight_shapes.emplace_back(std::move(recurrent_weights)); 111 _bias_shapes.emplace_back(std::move(biases)); 112 _dst_shapes.emplace_back(std::move(dst)); 113 _infos.emplace_back(std::move(info)); 114 } 115 116 protected: 117 RNNLayerDataset() = default; 118 RNNLayerDataset(RNNLayerDataset &&) = default; 119 120 private: 121 std::vector<TensorShape> _src_shapes{}; 122 std::vector<TensorShape> _weight_shapes{}; 123 std::vector<TensorShape> _recurrent_weight_shapes{}; 124 std::vector<TensorShape> _bias_shapes{}; 125 std::vector<TensorShape> _dst_shapes{}; 126 std::vector<ActivationLayerInfo> _infos{}; 127 }; 128 129 class SmallRNNLayerDataset final : public RNNLayerDataset 130 { 131 public: SmallRNNLayerDataset()132 SmallRNNLayerDataset() 133 { 134 add_config(TensorShape(128U, 16U), TensorShape(128U, 32U), TensorShape(32U, 32U), TensorShape(32U), TensorShape(32U, 16U), ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)); 135 } 136 }; 137 138 } // namespace datasets 139 } // namespace test 140 } // namespace arm_compute 141 #endif /* ARM_COMPUTE_TEST_RNN_LAYER_DATASET */ 142