Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 1 | /* |
SiCong Li | 4841c97 | 2021-02-03 12:17:35 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2021 Arm Limited. |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [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 | e2c82fe | 2017-10-02 18:51:47 +0100 | [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 | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 28 | #include "utils/GraphUtils.h" |
| 29 | #include "utils/Utils.h" |
| 30 | |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 31 | using namespace arm_compute::utils; |
Georgios Pinitas | d9eb275 | 2018-04-03 13:44:29 +0100 | [diff] [blame] | 32 | using namespace arm_compute::graph::frontend; |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 33 | using namespace arm_compute::graph_utils; |
| 34 | |
Georgios Pinitas | 108ab0b | 2018-09-14 18:35:11 +0100 | [diff] [blame] | 35 | /** Example demonstrating how to implement Googlenet's network using the Compute Library's graph API */ |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 36 | class GraphGooglenetExample : public Example |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 37 | { |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 38 | public: |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 39 | GraphGooglenetExample() : cmd_parser(), common_opts(cmd_parser), common_params(), graph(0, "GoogleNet") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 40 | { |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 41 | } |
| 42 | bool do_setup(int argc, char **argv) override |
| 43 | { |
| 44 | // Parse arguments |
| 45 | cmd_parser.parse(argc, argv); |
Georgios Pinitas | cd60a5f | 2019-08-21 17:06:54 +0100 | [diff] [blame] | 46 | cmd_parser.validate(); |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 47 | |
| 48 | // Consume common parameters |
| 49 | common_params = consume_common_graph_parameters(common_opts); |
| 50 | |
| 51 | // Return when help menu is requested |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 52 | if (common_params.help) |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 53 | { |
| 54 | cmd_parser.print_help(argv[0]); |
| 55 | return false; |
| 56 | } |
| 57 | |
| 58 | // Checks |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 59 | ARM_COMPUTE_EXIT_ON_MSG(arm_compute::is_data_type_quantized_asymmetric(common_params.data_type), |
| 60 | "QASYMM8 not supported for this graph"); |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 61 | |
| 62 | // Print parameter values |
| 63 | std::cout << common_params << std::endl; |
| 64 | |
| 65 | // Get trainable parameters data path |
| 66 | std::string data_path = common_params.data_path; |
Isabella Gottardi | a4c6188 | 2017-11-03 12:11:55 +0000 | [diff] [blame] | 67 | |
Georgios Pinitas | 140fdc7 | 2018-02-16 11:42:38 +0000 | [diff] [blame] | 68 | // Create a preprocessor object |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 69 | const std::array<float, 3> mean_rgb{{122.68f, 116.67f, 104.01f}}; |
Georgios Pinitas | 40f51a6 | 2020-11-21 03:04:18 +0000 | [diff] [blame] | 70 | std::unique_ptr<IPreprocessor> preprocessor = std::make_unique<CaffePreproccessor>(mean_rgb); |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 71 | |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 72 | // Create input descriptor |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 73 | const auto operation_layout = common_params.data_layout; |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 74 | const TensorShape tensor_shape = |
| 75 | permute_shape(TensorShape(224U, 224U, 3U, common_params.batches), DataLayout::NCHW, operation_layout); |
| 76 | TensorDescriptor input_descriptor = |
| 77 | TensorDescriptor(tensor_shape, common_params.data_type).set_layout(operation_layout); |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 78 | |
| 79 | // Set weights trained layout |
| 80 | const DataLayout weights_layout = DataLayout::NCHW; |
| 81 | |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 82 | graph << common_params.target << common_params.fast_math_hint |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 83 | << InputLayer(input_descriptor, get_input_accessor(common_params, std::move(preprocessor))) |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 84 | << ConvolutionLayer(7U, 7U, 64U, |
| 85 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv1/conv1_7x7_s2_w.npy", |
| 86 | weights_layout), |
| 87 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv1/conv1_7x7_s2_b.npy"), |
| 88 | PadStrideInfo(2, 2, 3, 3)) |
| 89 | .set_name("conv1/7x7_s2") |
| 90 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) |
| 91 | .set_name("conv1/relu_7x7") |
| 92 | << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, operation_layout, |
| 93 | PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))) |
| 94 | .set_name("pool1/3x3_s2") |
| 95 | << NormalizationLayer(NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f)) |
| 96 | .set_name("pool1/norm1") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 97 | << ConvolutionLayer( |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 98 | 1U, 1U, 64U, |
| 99 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv2/conv2_3x3_reduce_w.npy", |
| 100 | weights_layout), |
| 101 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv2/conv2_3x3_reduce_b.npy"), |
| 102 | PadStrideInfo(1, 1, 0, 0)) |
| 103 | .set_name("conv2/3x3_reduce") |
| 104 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) |
| 105 | .set_name("conv2/relu_3x3_reduce") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 106 | << ConvolutionLayer( |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 107 | 3U, 3U, 192U, |
| 108 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv2/conv2_3x3_w.npy", weights_layout), |
| 109 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv2/conv2_3x3_b.npy"), |
| 110 | PadStrideInfo(1, 1, 1, 1)) |
| 111 | .set_name("conv2/3x3") |
| 112 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) |
| 113 | .set_name("conv2/relu_3x3") |
| 114 | << NormalizationLayer(NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f)) |
| 115 | .set_name("conv2/norm2") |
| 116 | << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, operation_layout, |
| 117 | PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))) |
| 118 | .set_name("pool2/3x3_s2"); |
| 119 | graph << get_inception_node(data_path, "inception_3a", weights_layout, 64, std::make_tuple(96U, 128U), |
| 120 | std::make_tuple(16U, 32U), 32U) |
| 121 | .set_name("inception_3a/concat"); |
| 122 | graph << get_inception_node(data_path, "inception_3b", weights_layout, 128, std::make_tuple(128U, 192U), |
| 123 | std::make_tuple(32U, 96U), 64U) |
| 124 | .set_name("inception_3b/concat"); |
| 125 | graph << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, operation_layout, |
| 126 | PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))) |
| 127 | .set_name("pool3/3x3_s2"); |
| 128 | graph << get_inception_node(data_path, "inception_4a", weights_layout, 192, std::make_tuple(96U, 208U), |
| 129 | std::make_tuple(16U, 48U), 64U) |
| 130 | .set_name("inception_4a/concat"); |
| 131 | graph << get_inception_node(data_path, "inception_4b", weights_layout, 160, std::make_tuple(112U, 224U), |
| 132 | std::make_tuple(24U, 64U), 64U) |
| 133 | .set_name("inception_4b/concat"); |
| 134 | graph << get_inception_node(data_path, "inception_4c", weights_layout, 128, std::make_tuple(128U, 256U), |
| 135 | std::make_tuple(24U, 64U), 64U) |
| 136 | .set_name("inception_4c/concat"); |
| 137 | graph << get_inception_node(data_path, "inception_4d", weights_layout, 112, std::make_tuple(144U, 288U), |
| 138 | std::make_tuple(32U, 64U), 64U) |
| 139 | .set_name("inception_4d/concat"); |
| 140 | graph << get_inception_node(data_path, "inception_4e", weights_layout, 256, std::make_tuple(160U, 320U), |
| 141 | std::make_tuple(32U, 128U), 128U) |
| 142 | .set_name("inception_4e/concat"); |
| 143 | graph << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, operation_layout, |
| 144 | PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))) |
| 145 | .set_name("pool4/3x3_s2"); |
| 146 | graph << get_inception_node(data_path, "inception_5a", weights_layout, 256, std::make_tuple(160U, 320U), |
| 147 | std::make_tuple(32U, 128U), 128U) |
| 148 | .set_name("inception_5a/concat"); |
| 149 | graph << get_inception_node(data_path, "inception_5b", weights_layout, 384, std::make_tuple(192U, 384U), |
| 150 | std::make_tuple(48U, 128U), 128U) |
| 151 | .set_name("inception_5b/concat"); |
| 152 | graph << PoolingLayer(PoolingLayerInfo(PoolingType::AVG, 7, operation_layout, |
| 153 | PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL))) |
| 154 | .set_name("pool5/7x7_s1") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 155 | << FullyConnectedLayer( |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 156 | 1000U, |
| 157 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/loss3/loss3_classifier_w.npy", |
| 158 | weights_layout), |
| 159 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/loss3/loss3_classifier_b.npy")) |
| 160 | .set_name("loss3/classifier") |
| 161 | << SoftmaxLayer().set_name("prob") << OutputLayer(get_output_accessor(common_params, 5)); |
Gian Marco | c1b6e37 | 2018-02-21 18:03:26 +0000 | [diff] [blame] | 162 | |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 163 | // Finalize graph |
Georgios Pinitas | 9a8c672 | 2018-03-21 17:52:35 +0000 | [diff] [blame] | 164 | GraphConfig config; |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 165 | config.num_threads = common_params.threads; |
| 166 | config.use_tuner = common_params.enable_tuner; |
Vidhya Sudhan Loganathan | 050471e | 2019-04-25 09:27:24 +0100 | [diff] [blame] | 167 | config.tuner_mode = common_params.tuner_mode; |
Anthony Barbier | 7b607dc | 2018-07-13 15:55:24 +0100 | [diff] [blame] | 168 | config.tuner_file = common_params.tuner_file; |
SiCong Li | 4841c97 | 2021-02-03 12:17:35 +0000 | [diff] [blame] | 169 | config.mlgo_file = common_params.mlgo_file; |
Anthony Barbier | 7b607dc | 2018-07-13 15:55:24 +0100 | [diff] [blame] | 170 | |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 171 | graph.finalize(common_params.target, config); |
| 172 | |
| 173 | return true; |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 174 | } |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 175 | void do_run() override |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 176 | { |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 177 | // Run graph |
| 178 | graph.run(); |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 179 | } |
| 180 | |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 181 | private: |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 182 | CommandLineParser cmd_parser; |
| 183 | CommonGraphOptions common_opts; |
| 184 | CommonGraphParams common_params; |
| 185 | Stream graph; |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 186 | |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 187 | ConcatLayer get_inception_node(const std::string &data_path, |
| 188 | std::string &¶m_path, |
| 189 | DataLayout weights_layout, |
| 190 | unsigned int a_filt, |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 191 | std::tuple<unsigned int, unsigned int> b_filters, |
| 192 | std::tuple<unsigned int, unsigned int> c_filters, |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 193 | unsigned int d_filt) |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 194 | { |
| 195 | std::string total_path = "/cnn_data/googlenet_model/" + param_path + "/" + param_path + "_"; |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 196 | SubStream i_a(graph); |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 197 | i_a << ConvolutionLayer(1U, 1U, a_filt, |
| 198 | get_weights_accessor(data_path, total_path + "1x1_w.npy", weights_layout), |
| 199 | get_weights_accessor(data_path, total_path + "1x1_b.npy"), PadStrideInfo(1, 1, 0, 0)) |
| 200 | .set_name(param_path + "/1x1") |
| 201 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) |
| 202 | .set_name(param_path + "/relu_1x1"); |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 203 | |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 204 | SubStream i_b(graph); |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 205 | i_b << ConvolutionLayer(1U, 1U, std::get<0>(b_filters), |
| 206 | get_weights_accessor(data_path, total_path + "3x3_reduce_w.npy", weights_layout), |
| 207 | get_weights_accessor(data_path, total_path + "3x3_reduce_b.npy"), |
| 208 | PadStrideInfo(1, 1, 0, 0)) |
| 209 | .set_name(param_path + "/3x3_reduce") |
| 210 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) |
| 211 | .set_name(param_path + "/relu_3x3_reduce") |
| 212 | << ConvolutionLayer(3U, 3U, std::get<1>(b_filters), |
| 213 | get_weights_accessor(data_path, total_path + "3x3_w.npy", weights_layout), |
| 214 | get_weights_accessor(data_path, total_path + "3x3_b.npy"), PadStrideInfo(1, 1, 1, 1)) |
| 215 | .set_name(param_path + "/3x3") |
| 216 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) |
| 217 | .set_name(param_path + "/relu_3x3"); |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 218 | |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 219 | SubStream i_c(graph); |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 220 | i_c << ConvolutionLayer(1U, 1U, std::get<0>(c_filters), |
| 221 | get_weights_accessor(data_path, total_path + "5x5_reduce_w.npy", weights_layout), |
| 222 | get_weights_accessor(data_path, total_path + "5x5_reduce_b.npy"), |
| 223 | PadStrideInfo(1, 1, 0, 0)) |
| 224 | .set_name(param_path + "/5x5_reduce") |
| 225 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) |
| 226 | .set_name(param_path + "/relu_5x5_reduce") |
| 227 | << ConvolutionLayer(5U, 5U, std::get<1>(c_filters), |
| 228 | get_weights_accessor(data_path, total_path + "5x5_w.npy", weights_layout), |
| 229 | get_weights_accessor(data_path, total_path + "5x5_b.npy"), PadStrideInfo(1, 1, 2, 2)) |
| 230 | .set_name(param_path + "/5x5") |
| 231 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) |
| 232 | .set_name(param_path + "/relu_5x5"); |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 233 | |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 234 | SubStream i_d(graph); |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 235 | i_d << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, common_params.data_layout, |
| 236 | PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))) |
| 237 | .set_name(param_path + "/pool") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 238 | << ConvolutionLayer( |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 239 | 1U, 1U, d_filt, get_weights_accessor(data_path, total_path + "pool_proj_w.npy", weights_layout), |
| 240 | get_weights_accessor(data_path, total_path + "pool_proj_b.npy"), PadStrideInfo(1, 1, 0, 0)) |
| 241 | .set_name(param_path + "/pool_proj") |
| 242 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)) |
| 243 | .set_name(param_path + "/relu_pool_proj"); |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 244 | |
Georgios Pinitas | 427bbbf | 2018-08-28 13:32:02 +0100 | [diff] [blame] | 245 | return ConcatLayer(std::move(i_a), std::move(i_b), std::move(i_c), std::move(i_d)); |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 246 | } |
| 247 | }; |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 248 | |
| 249 | /** Main program for Googlenet |
| 250 | * |
Georgios Pinitas | bdbbbe8 | 2018-11-07 16:06:47 +0000 | [diff] [blame] | 251 | * Model is based on: |
| 252 | * https://arxiv.org/abs/1409.4842 |
| 253 | * "Going deeper with convolutions" |
| 254 | * Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich |
| 255 | * |
Georgios Pinitas | 588ebc5 | 2018-12-21 13:39:07 +0000 | [diff] [blame] | 256 | * Provenance: https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet |
| 257 | * |
Georgios Pinitas | 9f28b39 | 2018-07-18 20:01:53 +0100 | [diff] [blame] | 258 | * @note To list all the possible arguments execute the binary appended with the --help option |
| 259 | * |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 260 | * @param[in] argc Number of arguments |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 261 | * @param[in] argv Arguments |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 262 | */ |
Anthony Barbier | 6db0ff5 | 2018-01-05 10:59:12 +0000 | [diff] [blame] | 263 | int main(int argc, char **argv) |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 264 | { |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 265 | return arm_compute::utils::run_example<GraphGooglenetExample>(argc, argv); |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 266 | } |