Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 1 | /* |
SiCong Li | 4841c97 | 2021-02-03 12:17:35 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2021 Arm Limited. |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 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 | */ |
Georgios Pinitas | d9eb275 | 2018-04-03 13:44:29 +0100 | [diff] [blame] | 24 | #include "arm_compute/graph.h" |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 25 | |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 26 | #include "support/ToolchainSupport.h" |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 27 | #include "utils/CommonGraphOptions.h" |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 28 | #include "utils/GraphUtils.h" |
| 29 | #include "utils/Utils.h" |
| 30 | |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 31 | using namespace arm_compute; |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 32 | using namespace arm_compute::utils; |
Georgios Pinitas | d9eb275 | 2018-04-03 13:44:29 +0100 | [diff] [blame] | 33 | using namespace arm_compute::graph::frontend; |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 34 | using namespace arm_compute::graph_utils; |
| 35 | |
Georgios Pinitas | 108ab0b | 2018-09-14 18:35:11 +0100 | [diff] [blame] | 36 | /** Example demonstrating how to implement MobileNet's network using the Compute Library's graph API */ |
Gian Marco Iodice | 11a7e32 | 2018-07-05 15:42:02 +0100 | [diff] [blame] | 37 | class GraphMobilenetExample : public Example |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 38 | { |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 39 | public: |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 40 | GraphMobilenetExample() : cmd_parser(), common_opts(cmd_parser), common_params(), graph(0, "MobileNetV1") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 41 | { |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 42 | // Add model id option |
| 43 | model_id_opt = cmd_parser.add_option<SimpleOption<int>>("model-id", 0); |
| 44 | model_id_opt->set_help("Mobilenet model id (0: 1.0_224, else: 0.75_160"); |
| 45 | } |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 46 | GraphMobilenetExample(const GraphMobilenetExample &) = delete; |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 47 | GraphMobilenetExample &operator=(const GraphMobilenetExample &) = delete; |
Matthew Bentham | f5f2391 | 2020-03-05 22:32:16 +0000 | [diff] [blame] | 48 | ~GraphMobilenetExample() override = default; |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 49 | bool do_setup(int argc, char **argv) override |
| 50 | { |
| 51 | // Parse arguments |
| 52 | cmd_parser.parse(argc, argv); |
Georgios Pinitas | cd60a5f | 2019-08-21 17:06:54 +0100 | [diff] [blame] | 53 | cmd_parser.validate(); |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 54 | |
| 55 | // Consume common parameters |
| 56 | common_params = consume_common_graph_parameters(common_opts); |
| 57 | |
| 58 | // Return when help menu is requested |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 59 | if (common_params.help) |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 60 | { |
| 61 | cmd_parser.print_help(argv[0]); |
| 62 | return false; |
| 63 | } |
| 64 | |
| 65 | // Print parameter values |
| 66 | std::cout << common_params << std::endl; |
| 67 | |
| 68 | // Get model parameters |
| 69 | int model_id = model_id_opt->value(); |
| 70 | |
| 71 | // Create input descriptor |
| 72 | unsigned int spatial_size = (model_id == 0 || common_params.data_type == DataType::QASYMM8) ? 224 : 160; |
Georgios Pinitas | 7d66a8e | 2018-07-17 12:28:42 +0100 | [diff] [blame] | 73 | |
| 74 | // Create input descriptor |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 75 | const TensorShape tensor_shape = |
| 76 | permute_shape(TensorShape(spatial_size, spatial_size, 3U, common_params.batches), DataLayout::NCHW, |
| 77 | common_params.data_layout); |
| 78 | TensorDescriptor input_descriptor = |
| 79 | TensorDescriptor(tensor_shape, common_params.data_type).set_layout(common_params.data_layout); |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 80 | |
| 81 | // Set graph hints |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 82 | graph << common_params.target << common_params.fast_math_hint; |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 83 | |
| 84 | // Create core graph |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 85 | if (arm_compute::is_data_type_float(common_params.data_type)) |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 86 | { |
| 87 | create_graph_float(input_descriptor, model_id); |
| 88 | } |
| 89 | else |
| 90 | { |
| 91 | create_graph_qasymm(input_descriptor); |
| 92 | } |
| 93 | |
| 94 | // Create common tail |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 95 | graph << ReshapeLayer(TensorShape(1001U)).set_name("Reshape") << SoftmaxLayer().set_name("Softmax") |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 96 | << OutputLayer(get_output_accessor(common_params, 5)); |
| 97 | |
| 98 | // Finalize graph |
| 99 | GraphConfig config; |
| 100 | config.num_threads = common_params.threads; |
| 101 | config.use_tuner = common_params.enable_tuner; |
Vidhya Sudhan Loganathan | 050471e | 2019-04-25 09:27:24 +0100 | [diff] [blame] | 102 | config.tuner_mode = common_params.tuner_mode; |
Anthony Barbier | 7b607dc | 2018-07-13 15:55:24 +0100 | [diff] [blame] | 103 | config.tuner_file = common_params.tuner_file; |
SiCong Li | 4841c97 | 2021-02-03 12:17:35 +0000 | [diff] [blame] | 104 | config.mlgo_file = common_params.mlgo_file; |
Anthony Barbier | 7b607dc | 2018-07-13 15:55:24 +0100 | [diff] [blame] | 105 | |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 106 | graph.finalize(common_params.target, config); |
| 107 | |
| 108 | return true; |
| 109 | } |
| 110 | void do_run() override |
| 111 | { |
| 112 | // Run graph |
| 113 | graph.run(); |
| 114 | } |
| 115 | |
| 116 | private: |
| 117 | CommandLineParser cmd_parser; |
| 118 | CommonGraphOptions common_opts; |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 119 | SimpleOption<int> *model_id_opt{nullptr}; |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 120 | CommonGraphParams common_params; |
| 121 | Stream graph; |
| 122 | |
| 123 | void create_graph_float(TensorDescriptor &input_descriptor, int model_id) |
| 124 | { |
| 125 | float depth_scale = (model_id == 0) ? 1.f : 0.75; |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 126 | std::string model_path = |
| 127 | (model_id == 0) ? "/cnn_data/mobilenet_v1_1_224_model/" : "/cnn_data/mobilenet_v1_075_160_model/"; |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 128 | |
Georgios Pinitas | 140fdc7 | 2018-02-16 11:42:38 +0000 | [diff] [blame] | 129 | // Create a preprocessor object |
Georgios Pinitas | 40f51a6 | 2020-11-21 03:04:18 +0000 | [diff] [blame] | 130 | std::unique_ptr<IPreprocessor> preprocessor = std::make_unique<TFPreproccessor>(); |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 131 | |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 132 | // Get trainable parameters data path |
| 133 | std::string data_path = common_params.data_path; |
Georgios Pinitas | 7f530b3 | 2018-01-22 11:20:44 +0000 | [diff] [blame] | 134 | |
| 135 | // Add model path to data path |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 136 | if (!data_path.empty()) |
Georgios Pinitas | 7f530b3 | 2018-01-22 11:20:44 +0000 | [diff] [blame] | 137 | { |
| 138 | data_path += model_path; |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 139 | } |
| 140 | |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 141 | graph << InputLayer(input_descriptor, get_input_accessor(common_params, std::move(preprocessor), false)) |
| 142 | << ConvolutionLayer(3U, 3U, 32U * depth_scale, |
| 143 | get_weights_accessor(data_path, "Conv2d_0_weights.npy", DataLayout::NCHW), |
| 144 | std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), |
| 145 | PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::FLOOR)) |
| 146 | .set_name("Conv2d_0") |
| 147 | << BatchNormalizationLayer(get_weights_accessor(data_path, "Conv2d_0_BatchNorm_moving_mean.npy"), |
| 148 | get_weights_accessor(data_path, "Conv2d_0_BatchNorm_moving_variance.npy"), |
| 149 | get_weights_accessor(data_path, "Conv2d_0_BatchNorm_gamma.npy"), |
| 150 | get_weights_accessor(data_path, "Conv2d_0_BatchNorm_beta.npy"), 0.001f) |
| 151 | .set_name("Conv2d_0/BatchNorm") |
| 152 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f)) |
| 153 | .set_name("Conv2d_0/Relu6"); |
| 154 | graph << get_dwsc_node_float(data_path, "Conv2d_1", 64 * depth_scale, PadStrideInfo(1, 1, 1, 1), |
| 155 | PadStrideInfo(1, 1, 0, 0)); |
| 156 | graph << get_dwsc_node_float(data_path, "Conv2d_2", 128 * depth_scale, |
| 157 | PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::CEIL), |
| 158 | PadStrideInfo(1, 1, 0, 0)); |
| 159 | graph << get_dwsc_node_float(data_path, "Conv2d_3", 128 * depth_scale, |
| 160 | PadStrideInfo(1, 1, 1, 1, 1, 1, DimensionRoundingType::CEIL), |
| 161 | PadStrideInfo(1, 1, 0, 0)); |
| 162 | graph << get_dwsc_node_float(data_path, "Conv2d_4", 256 * depth_scale, |
| 163 | PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::CEIL), |
| 164 | PadStrideInfo(1, 1, 0, 0)); |
| 165 | graph << get_dwsc_node_float(data_path, "Conv2d_5", 256 * depth_scale, |
| 166 | PadStrideInfo(1, 1, 1, 1, 1, 1, DimensionRoundingType::CEIL), |
| 167 | PadStrideInfo(1, 1, 0, 0)); |
| 168 | graph << get_dwsc_node_float(data_path, "Conv2d_6", 512 * depth_scale, |
| 169 | PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::CEIL), |
| 170 | PadStrideInfo(1, 1, 0, 0)); |
| 171 | graph << get_dwsc_node_float(data_path, "Conv2d_7", 512 * depth_scale, |
| 172 | PadStrideInfo(1, 1, 1, 1, 1, 1, DimensionRoundingType::CEIL), |
| 173 | PadStrideInfo(1, 1, 0, 0)); |
| 174 | graph << get_dwsc_node_float(data_path, "Conv2d_8", 512 * depth_scale, |
| 175 | PadStrideInfo(1, 1, 1, 1, 1, 1, DimensionRoundingType::CEIL), |
| 176 | PadStrideInfo(1, 1, 0, 0)); |
| 177 | graph << get_dwsc_node_float(data_path, "Conv2d_9", 512 * depth_scale, |
| 178 | PadStrideInfo(1, 1, 1, 1, 1, 1, DimensionRoundingType::CEIL), |
| 179 | PadStrideInfo(1, 1, 0, 0)); |
| 180 | graph << get_dwsc_node_float(data_path, "Conv2d_10", 512 * depth_scale, |
| 181 | PadStrideInfo(1, 1, 1, 1, 1, 1, DimensionRoundingType::CEIL), |
| 182 | PadStrideInfo(1, 1, 0, 0)); |
| 183 | graph << get_dwsc_node_float(data_path, "Conv2d_11", 512 * depth_scale, |
| 184 | PadStrideInfo(1, 1, 1, 1, 1, 1, DimensionRoundingType::CEIL), |
| 185 | PadStrideInfo(1, 1, 0, 0)); |
| 186 | graph << get_dwsc_node_float(data_path, "Conv2d_12", 1024 * depth_scale, |
| 187 | PadStrideInfo(2, 2, 0, 1, 0, 1, DimensionRoundingType::CEIL), |
| 188 | PadStrideInfo(1, 1, 0, 0)); |
| 189 | graph << get_dwsc_node_float(data_path, "Conv2d_13", 1024 * depth_scale, |
| 190 | PadStrideInfo(1, 1, 1, 1, 1, 1, DimensionRoundingType::CEIL), |
| 191 | PadStrideInfo(1, 1, 0, 0)); |
| 192 | graph |
| 193 | << PoolingLayer(PoolingLayerInfo(PoolingType::AVG, common_params.data_layout)).set_name("Logits/AvgPool_1a") |
| 194 | << ConvolutionLayer( |
| 195 | 1U, 1U, 1001U, get_weights_accessor(data_path, "Logits_Conv2d_1c_1x1_weights.npy", DataLayout::NCHW), |
| 196 | get_weights_accessor(data_path, "Logits_Conv2d_1c_1x1_biases.npy"), PadStrideInfo(1, 1, 0, 0)) |
| 197 | .set_name("Logits/Conv2d_1c_1x1"); |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 198 | } |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 199 | |
| 200 | void create_graph_qasymm(TensorDescriptor &input_descriptor) |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 201 | { |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 202 | // Get trainable parameters data path |
| 203 | std::string data_path = common_params.data_path; |
| 204 | |
Georgios Pinitas | a799ce0 | 2018-09-12 20:11:34 +0100 | [diff] [blame] | 205 | // Add model path to data path |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 206 | if (!data_path.empty()) |
Georgios Pinitas | a799ce0 | 2018-09-12 20:11:34 +0100 | [diff] [blame] | 207 | { |
| 208 | data_path += "/cnn_data/mobilenet_qasymm8_model/"; |
| 209 | } |
| 210 | |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 211 | // Quantization info taken from the AndroidNN QASYMM8 MobileNet example |
Isabella Gottardi | 8baaa45 | 2019-05-20 18:22:15 +0100 | [diff] [blame] | 212 | const QuantizationInfo in_quant_info = QuantizationInfo(0.0078125f, 128); |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 213 | |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 214 | const std::vector<QuantizationInfo> conv_weights_quant_info = { |
Isabella Gottardi | 8baaa45 | 2019-05-20 18:22:15 +0100 | [diff] [blame] | 215 | QuantizationInfo(0.02182667888700962f, 151), // conv0 |
| 216 | QuantizationInfo(0.004986600950360298f, 74) // conv14 |
| 217 | }; |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 218 | const std::vector<QuantizationInfo> conv_out_quant_info = { |
Isabella Gottardi | 8baaa45 | 2019-05-20 18:22:15 +0100 | [diff] [blame] | 219 | QuantizationInfo(0.023528477177023888f, 0), // conv0 |
| 220 | QuantizationInfo(0.16609922051429749f, 66) // conv14 |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 221 | }; |
| 222 | |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 223 | const std::vector<QuantizationInfo> depth_weights_quant_info = { |
Isabella Gottardi | 8baaa45 | 2019-05-20 18:22:15 +0100 | [diff] [blame] | 224 | QuantizationInfo(0.29219913482666016f, 110), // dwsc1 |
| 225 | QuantizationInfo(0.40277284383773804f, 130), // dwsc2 |
| 226 | QuantizationInfo(0.06053730100393295f, 160), // dwsc3 |
| 227 | QuantizationInfo(0.01675807684659958f, 123), // dwsc4 |
| 228 | QuantizationInfo(0.04105526953935623f, 129), // dwsc5 |
| 229 | QuantizationInfo(0.013460792601108551f, 122), // dwsc6 |
| 230 | QuantizationInfo(0.036934755742549896f, 132), // dwsc7 |
| 231 | QuantizationInfo(0.042609862983226776f, 94), // dwsc8 |
| 232 | QuantizationInfo(0.028358859941363335f, 127), // dwsc9 |
| 233 | QuantizationInfo(0.024329448118805885f, 134), // dwsc10 |
| 234 | QuantizationInfo(0.019366811960935593f, 106), // dwsc11 |
| 235 | QuantizationInfo(0.007835594937205315f, 126), // dwsc12 |
| 236 | QuantizationInfo(0.12616927921772003f, 211) // dwsc13 |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 237 | }; |
| 238 | |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 239 | const std::vector<QuantizationInfo> point_weights_quant_info = { |
Isabella Gottardi | 8baaa45 | 2019-05-20 18:22:15 +0100 | [diff] [blame] | 240 | QuantizationInfo(0.030420949682593346f, 121), // dwsc1 |
| 241 | QuantizationInfo(0.015148180536925793f, 104), // dwsc2 |
| 242 | QuantizationInfo(0.013755458407104015f, 94), // dwsc3 |
| 243 | QuantizationInfo(0.007601846940815449f, 151), // dwsc4 |
| 244 | QuantizationInfo(0.006431614048779011f, 122), // dwsc5 |
| 245 | QuantizationInfo(0.00917122047394514f, 109), // dwsc6 |
| 246 | QuantizationInfo(0.005300046876072884f, 140), // dwsc7 |
| 247 | QuantizationInfo(0.0049632852897048f, 127), // dwsc8 |
| 248 | QuantizationInfo(0.007770895957946777f, 89), // dwsc9 |
| 249 | QuantizationInfo(0.009658650495111942f, 99), // dwsc10 |
| 250 | QuantizationInfo(0.005446993745863438f, 153), // dwsc11 |
| 251 | QuantizationInfo(0.00817922968417406f, 130), // dwsc12 |
| 252 | QuantizationInfo(0.018048152327537537f, 95) // dwsc13 |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 253 | }; |
| 254 | |
| 255 | graph << InputLayer(input_descriptor.set_quantization_info(in_quant_info), |
Manuel Bottini | 3252795 | 2019-11-05 16:55:57 +0000 | [diff] [blame] | 256 | get_input_accessor(common_params, nullptr, false)) |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 257 | << ConvolutionLayer(3U, 3U, 32U, get_weights_accessor(data_path, "Conv2d_0_weights.npy"), |
| 258 | get_weights_accessor(data_path, "Conv2d_0_bias.npy"), |
| 259 | PadStrideInfo(2U, 2U, 0U, 1U, 0U, 1U, DimensionRoundingType::FLOOR), 1, |
| 260 | conv_weights_quant_info.at(0), conv_out_quant_info.at(0)) |
| 261 | .set_name("Conv2d_0") |
| 262 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f)) |
| 263 | .set_name("Conv2d_0/Relu6"); |
| 264 | graph << get_dwsc_node_qasymm(data_path, "Conv2d_1", 64U, PadStrideInfo(1U, 1U, 1U, 1U), |
| 265 | PadStrideInfo(1U, 1U, 0U, 0U), depth_weights_quant_info.at(0), |
| 266 | point_weights_quant_info.at(0)); |
| 267 | graph << get_dwsc_node_qasymm( |
| 268 | data_path, "Conv2d_2", 128U, PadStrideInfo(2U, 2U, 0U, 1U, 0U, 1U, DimensionRoundingType::FLOOR), |
| 269 | PadStrideInfo(1U, 1U, 0U, 0U), depth_weights_quant_info.at(1), point_weights_quant_info.at(1)); |
| 270 | graph << get_dwsc_node_qasymm( |
| 271 | data_path, "Conv2d_3", 128U, PadStrideInfo(1U, 1U, 1U, 1U, 1U, 1U, DimensionRoundingType::FLOOR), |
| 272 | PadStrideInfo(1U, 1U, 0U, 0U), depth_weights_quant_info.at(2), point_weights_quant_info.at(2)); |
| 273 | graph << get_dwsc_node_qasymm( |
| 274 | data_path, "Conv2d_4", 256U, PadStrideInfo(2U, 2U, 0U, 1U, 0U, 1U, DimensionRoundingType::FLOOR), |
| 275 | PadStrideInfo(1U, 1U, 0U, 0U), depth_weights_quant_info.at(3), point_weights_quant_info.at(3)); |
| 276 | graph << get_dwsc_node_qasymm( |
| 277 | data_path, "Conv2d_5", 256U, PadStrideInfo(1U, 1U, 1U, 1U, 1U, 1U, DimensionRoundingType::FLOOR), |
| 278 | PadStrideInfo(1U, 1U, 0U, 0U), depth_weights_quant_info.at(4), point_weights_quant_info.at(4)); |
| 279 | graph << get_dwsc_node_qasymm( |
| 280 | data_path, "Conv2d_6", 512U, PadStrideInfo(2U, 2U, 0U, 1U, 0U, 1U, DimensionRoundingType::FLOOR), |
| 281 | PadStrideInfo(1U, 1U, 0U, 0U), depth_weights_quant_info.at(5), point_weights_quant_info.at(5)); |
| 282 | graph << get_dwsc_node_qasymm( |
| 283 | data_path, "Conv2d_7", 512U, PadStrideInfo(1U, 1U, 1U, 1U, 1U, 1U, DimensionRoundingType::FLOOR), |
| 284 | PadStrideInfo(1U, 1U, 0U, 0U), depth_weights_quant_info.at(6), point_weights_quant_info.at(6)); |
| 285 | graph << get_dwsc_node_qasymm( |
| 286 | data_path, "Conv2d_8", 512U, PadStrideInfo(1U, 1U, 1U, 1U, 1U, 1U, DimensionRoundingType::FLOOR), |
| 287 | PadStrideInfo(1U, 1U, 0U, 0U), depth_weights_quant_info.at(7), point_weights_quant_info.at(7)); |
| 288 | graph << get_dwsc_node_qasymm( |
| 289 | data_path, "Conv2d_9", 512U, PadStrideInfo(1U, 1U, 1U, 1U, 1U, 1U, DimensionRoundingType::FLOOR), |
| 290 | PadStrideInfo(1U, 1U, 0U, 0U), depth_weights_quant_info.at(8), point_weights_quant_info.at(8)); |
| 291 | graph << get_dwsc_node_qasymm( |
| 292 | data_path, "Conv2d_10", 512U, PadStrideInfo(1U, 1U, 1U, 1U, 1U, 1U, DimensionRoundingType::FLOOR), |
| 293 | PadStrideInfo(1U, 1U, 0U, 0U), depth_weights_quant_info.at(9), point_weights_quant_info.at(9)); |
| 294 | graph << get_dwsc_node_qasymm( |
| 295 | data_path, "Conv2d_11", 512U, PadStrideInfo(1U, 1U, 1U, 1U, 1U, 1U, DimensionRoundingType::FLOOR), |
| 296 | PadStrideInfo(1U, 1U, 0U, 0U), depth_weights_quant_info.at(10), point_weights_quant_info.at(10)); |
| 297 | graph << get_dwsc_node_qasymm( |
| 298 | data_path, "Conv2d_12", 1024U, PadStrideInfo(2U, 2U, 0U, 1U, 0U, 1U, DimensionRoundingType::FLOOR), |
| 299 | PadStrideInfo(1U, 1U, 0U, 0U), depth_weights_quant_info.at(11), point_weights_quant_info.at(11)); |
| 300 | graph |
| 301 | << get_dwsc_node_qasymm( |
| 302 | data_path, "Conv2d_13", 1024U, PadStrideInfo(1U, 1U, 1U, 1U, 1U, 1U, DimensionRoundingType::FLOOR), |
| 303 | PadStrideInfo(1U, 1U, 0U, 0U), depth_weights_quant_info.at(12), point_weights_quant_info.at(12)) |
| 304 | << PoolingLayer(PoolingLayerInfo(PoolingType::AVG, common_params.data_layout)).set_name("Logits/AvgPool_1a") |
| 305 | << ConvolutionLayer(1U, 1U, 1001U, get_weights_accessor(data_path, "Logits_Conv2d_1c_1x1_weights.npy"), |
| 306 | get_weights_accessor(data_path, "Logits_Conv2d_1c_1x1_bias.npy"), |
| 307 | PadStrideInfo(1U, 1U, 0U, 0U), 1, conv_weights_quant_info.at(1), |
| 308 | conv_out_quant_info.at(1)) |
| 309 | .set_name("Logits/Conv2d_1c_1x1"); |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 310 | } |
| 311 | |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 312 | ConcatLayer get_dwsc_node_float(const std::string &data_path, |
| 313 | std::string &¶m_path, |
| 314 | unsigned int conv_filt, |
| 315 | PadStrideInfo dwc_pad_stride_info, |
| 316 | PadStrideInfo conv_pad_stride_info) |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 317 | { |
Georgios Pinitas | 7f530b3 | 2018-01-22 11:20:44 +0000 | [diff] [blame] | 318 | std::string total_path = param_path + "_"; |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 319 | SubStream sg(graph); |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 320 | sg << DepthwiseConvolutionLayer( |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 321 | 3U, 3U, |
| 322 | get_weights_accessor(data_path, total_path + "depthwise_depthwise_weights.npy", DataLayout::NCHW), |
| 323 | std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), dwc_pad_stride_info) |
| 324 | .set_name(total_path + "depthwise/depthwise") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 325 | << BatchNormalizationLayer( |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 326 | get_weights_accessor(data_path, total_path + "depthwise_BatchNorm_moving_mean.npy"), |
| 327 | get_weights_accessor(data_path, total_path + "depthwise_BatchNorm_moving_variance.npy"), |
| 328 | get_weights_accessor(data_path, total_path + "depthwise_BatchNorm_gamma.npy"), |
| 329 | get_weights_accessor(data_path, total_path + "depthwise_BatchNorm_beta.npy"), 0.001f) |
| 330 | .set_name(total_path + "depthwise/BatchNorm") |
| 331 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f)) |
| 332 | .set_name(total_path + "depthwise/Relu6") |
| 333 | << ConvolutionLayer(1U, 1U, conv_filt, |
| 334 | get_weights_accessor(data_path, total_path + "pointwise_weights.npy", DataLayout::NCHW), |
| 335 | std::unique_ptr<arm_compute::graph::ITensorAccessor>(nullptr), conv_pad_stride_info) |
| 336 | .set_name(total_path + "pointwise/Conv2D") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 337 | << BatchNormalizationLayer( |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 338 | get_weights_accessor(data_path, total_path + "pointwise_BatchNorm_moving_mean.npy"), |
| 339 | get_weights_accessor(data_path, total_path + "pointwise_BatchNorm_moving_variance.npy"), |
| 340 | get_weights_accessor(data_path, total_path + "pointwise_BatchNorm_gamma.npy"), |
| 341 | get_weights_accessor(data_path, total_path + "pointwise_BatchNorm_beta.npy"), 0.001f) |
| 342 | .set_name(total_path + "pointwise/BatchNorm") |
| 343 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::BOUNDED_RELU, 6.f)) |
| 344 | .set_name(total_path + "pointwise/Relu6"); |
Gian Marco | bfa3b52 | 2017-12-12 10:08:38 +0000 | [diff] [blame] | 345 | |
Georgios Pinitas | 427bbbf | 2018-08-28 13:32:02 +0100 | [diff] [blame] | 346 | return ConcatLayer(std::move(sg)); |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 347 | } |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 348 | |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 349 | ConcatLayer get_dwsc_node_qasymm(const std::string &data_path, |
| 350 | std::string &¶m_path, |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 351 | const unsigned int conv_filt, |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 352 | PadStrideInfo dwc_pad_stride_info, |
| 353 | PadStrideInfo conv_pad_stride_info, |
| 354 | QuantizationInfo depth_weights_quant_info, |
| 355 | QuantizationInfo point_weights_quant_info) |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 356 | { |
Georgios Pinitas | a799ce0 | 2018-09-12 20:11:34 +0100 | [diff] [blame] | 357 | std::string total_path = param_path + "_"; |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 358 | SubStream sg(graph); |
| 359 | |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 360 | sg << DepthwiseConvolutionLayer(3U, 3U, get_weights_accessor(data_path, total_path + "depthwise_weights.npy"), |
| 361 | get_weights_accessor(data_path, total_path + "depthwise_bias.npy"), |
| 362 | dwc_pad_stride_info, 1, std::move(depth_weights_quant_info)) |
| 363 | .set_name(total_path + "depthwise/depthwise") |
| 364 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f)) |
| 365 | .set_name(total_path + "depthwise/Relu6") |
| 366 | << ConvolutionLayer(1U, 1U, conv_filt, get_weights_accessor(data_path, total_path + "pointwise_weights.npy"), |
| 367 | get_weights_accessor(data_path, total_path + "pointwise_bias.npy"), conv_pad_stride_info, |
| 368 | 1, std::move(point_weights_quant_info)) |
| 369 | .set_name(total_path + "pointwise/Conv2D") |
| 370 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::LU_BOUNDED_RELU, 6.f)) |
| 371 | .set_name(total_path + "pointwise/Relu6"); |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 372 | |
Georgios Pinitas | 427bbbf | 2018-08-28 13:32:02 +0100 | [diff] [blame] | 373 | return ConcatLayer(std::move(sg)); |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 374 | } |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 375 | }; |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 376 | |
| 377 | /** Main program for MobileNetV1 |
| 378 | * |
Georgios Pinitas | bdbbbe8 | 2018-11-07 16:06:47 +0000 | [diff] [blame] | 379 | * Model is based on: |
| 380 | * https://arxiv.org/abs/1704.04861 |
| 381 | * "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications" |
| 382 | * Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig Adam |
| 383 | * |
Georgios Pinitas | 588ebc5 | 2018-12-21 13:39:07 +0000 | [diff] [blame] | 384 | * Provenance: download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_1.0_224.tgz |
| 385 | * download.tensorflow.org/models/mobilenet_v1_2018_08_02/mobilenet_v1_0.75_160.tgz |
| 386 | * |
Georgios Pinitas | 9f28b39 | 2018-07-18 20:01:53 +0100 | [diff] [blame] | 387 | * @note To list all the possible arguments execute the binary appended with the --help option |
| 388 | * |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 389 | * @param[in] argc Number of arguments |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 390 | * @param[in] argv Arguments |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 391 | */ |
Anthony Barbier | 6db0ff5 | 2018-01-05 10:59:12 +0000 | [diff] [blame] | 392 | int main(int argc, char **argv) |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 393 | { |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 394 | return arm_compute::utils::run_example<GraphMobilenetExample>(argc, argv); |
Georgios Pinitas | 236bfe7 | 2017-11-23 15:59:55 +0000 | [diff] [blame] | 395 | } |