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_LSTM_LAYER_DATASET 25 #define ARM_COMPUTE_TEST_LSTM_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 LSTMLayerDataset 39 { 40 public: 41 using type = std::tuple<TensorShape, TensorShape, TensorShape, TensorShape, TensorShape, TensorShape, TensorShape, ActivationLayerInfo, float, float>; 42 43 struct iterator 44 { iteratoriterator45 iterator(std::vector<TensorShape>::const_iterator src_it, 46 std::vector<TensorShape>::const_iterator input_weights_it, 47 std::vector<TensorShape>::const_iterator recurrent_weights_it, 48 std::vector<TensorShape>::const_iterator cells_bias_it, 49 std::vector<TensorShape>::const_iterator output_cell_it, 50 std::vector<TensorShape>::const_iterator dst_it, 51 std::vector<TensorShape>::const_iterator scratch_it, 52 std::vector<ActivationLayerInfo>::const_iterator infos_it, 53 std::vector<float>::const_iterator cell_threshold_it, 54 std::vector<float>::const_iterator projection_threshold_it) 55 : _src_it{ std::move(src_it) }, 56 _input_weights_it{ std::move(input_weights_it) }, 57 _recurrent_weights_it{ std::move(recurrent_weights_it) }, 58 _cells_bias_it{ std::move(cells_bias_it) }, 59 _output_cell_it{ std::move(output_cell_it) }, 60 _dst_it{ std::move(dst_it) }, 61 _scratch_it{ std::move(scratch_it) }, 62 _infos_it{ std::move(infos_it) }, 63 _cell_threshold_it{ std::move(cell_threshold_it) }, 64 _projection_threshold_it{ std::move(projection_threshold_it) } 65 { 66 } 67 descriptioniterator68 std::string description() const 69 { 70 std::stringstream description; 71 description << "In=" << *_src_it << ":"; 72 description << "InputWeights=" << *_input_weights_it << ":"; 73 description << "RecurrentWeights=" << *_recurrent_weights_it << ":"; 74 description << "Biases=" << *_cells_bias_it << ":"; 75 description << "Scratch=" << *_scratch_it << ":"; 76 description << "Out=" << *_dst_it; 77 return description.str(); 78 } 79 80 LSTMLayerDataset::type operator*() const 81 { 82 return std::make_tuple(*_src_it, *_input_weights_it, *_recurrent_weights_it, *_cells_bias_it, *_output_cell_it, *_dst_it, *_scratch_it, *_infos_it, *_cell_threshold_it, *_projection_threshold_it); 83 } 84 85 iterator &operator++() 86 { 87 ++_src_it; 88 ++_input_weights_it; 89 ++_recurrent_weights_it; 90 ++_cells_bias_it; 91 ++_output_cell_it; 92 ++_dst_it; 93 ++_scratch_it; 94 ++_infos_it; 95 ++_cell_threshold_it; 96 ++_projection_threshold_it; 97 98 return *this; 99 } 100 101 private: 102 std::vector<TensorShape>::const_iterator _src_it; 103 std::vector<TensorShape>::const_iterator _input_weights_it; 104 std::vector<TensorShape>::const_iterator _recurrent_weights_it; 105 std::vector<TensorShape>::const_iterator _cells_bias_it; 106 std::vector<TensorShape>::const_iterator _output_cell_it; 107 std::vector<TensorShape>::const_iterator _dst_it; 108 std::vector<TensorShape>::const_iterator _scratch_it; 109 std::vector<ActivationLayerInfo>::const_iterator _infos_it; 110 std::vector<float>::const_iterator _cell_threshold_it; 111 std::vector<float>::const_iterator _projection_threshold_it; 112 }; 113 begin()114 iterator begin() const 115 { 116 return iterator(_src_shapes.begin(), _input_weights_shapes.begin(), _recurrent_weights_shapes.begin(), _cell_bias_shapes.begin(), _output_cell_shapes.begin(), _dst_shapes.begin(), 117 _scratch_shapes.begin(), _infos.begin(), _cell_threshold.begin(), _projection_threshold.begin()); 118 } 119 size()120 int size() const 121 { 122 return std::min(_src_shapes.size(), std::min(_input_weights_shapes.size(), std::min(_recurrent_weights_shapes.size(), std::min(_cell_bias_shapes.size(), std::min(_output_cell_shapes.size(), 123 std::min(_dst_shapes.size(), std::min(_scratch_shapes.size(), std::min(_cell_threshold.size(), std::min(_projection_threshold.size(), _infos.size()))))))))); 124 } 125 add_config(TensorShape src,TensorShape input_weights,TensorShape recurrent_weights,TensorShape cell_bias_weights,TensorShape output_cell_state,TensorShape dst,TensorShape scratch,ActivationLayerInfo info,float cell_threshold,float projection_threshold)126 void add_config(TensorShape src, TensorShape input_weights, TensorShape recurrent_weights, TensorShape cell_bias_weights, TensorShape output_cell_state, TensorShape dst, TensorShape scratch, 127 ActivationLayerInfo info, float cell_threshold, float projection_threshold) 128 { 129 _src_shapes.emplace_back(std::move(src)); 130 _input_weights_shapes.emplace_back(std::move(input_weights)); 131 _recurrent_weights_shapes.emplace_back(std::move(recurrent_weights)); 132 _cell_bias_shapes.emplace_back(std::move(cell_bias_weights)); 133 _output_cell_shapes.emplace_back(std::move(output_cell_state)); 134 _dst_shapes.emplace_back(std::move(dst)); 135 _scratch_shapes.emplace_back(std::move(scratch)); 136 _infos.emplace_back(std::move(info)); 137 _cell_threshold.emplace_back(std::move(cell_threshold)); 138 _projection_threshold.emplace_back(std::move(projection_threshold)); 139 } 140 141 protected: 142 LSTMLayerDataset() = default; 143 LSTMLayerDataset(LSTMLayerDataset &&) = default; 144 145 private: 146 std::vector<TensorShape> _src_shapes{}; 147 std::vector<TensorShape> _input_weights_shapes{}; 148 std::vector<TensorShape> _recurrent_weights_shapes{}; 149 std::vector<TensorShape> _cell_bias_shapes{}; 150 std::vector<TensorShape> _output_cell_shapes{}; 151 std::vector<TensorShape> _dst_shapes{}; 152 std::vector<TensorShape> _scratch_shapes{}; 153 std::vector<ActivationLayerInfo> _infos{}; 154 std::vector<float> _cell_threshold{}; 155 std::vector<float> _projection_threshold{}; 156 }; 157 158 class SmallLSTMLayerDataset final : public LSTMLayerDataset 159 { 160 public: SmallLSTMLayerDataset()161 SmallLSTMLayerDataset() 162 { 163 add_config(TensorShape(8U), TensorShape(8U, 16U), TensorShape(16U, 16U), TensorShape(16U), TensorShape(16U), TensorShape(16U), TensorShape(64U), 164 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), 0.05f, 0.93f); 165 add_config(TensorShape(8U, 2U), TensorShape(8U, 16U), TensorShape(16U, 16U), TensorShape(16U), TensorShape(16U, 2U), TensorShape(16U, 2U), TensorShape(64U, 2U), 166 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), 0.05f, 0.93f); 167 add_config(TensorShape(8U, 2U), TensorShape(8U, 16U), TensorShape(16U, 16U), TensorShape(16U), TensorShape(16U, 2U), TensorShape(16U, 2U), TensorShape(48U, 2U), 168 ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU), 0.05f, 0.93f); 169 } 170 }; 171 172 } // namespace datasets 173 } // namespace test 174 } // namespace arm_compute 175 #endif /* ARM_COMPUTE_TEST_LSTM_LAYER_DATASET */ 176