Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 1 | /* |
Georgios Pinitas | 62c3639 | 2019-01-31 12:53:10 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2019 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" |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 25 | #include "support/ToolchainSupport.h" |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 26 | #include "utils/CommonGraphOptions.h" |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 27 | #include "utils/GraphUtils.h" |
| 28 | #include "utils/Utils.h" |
| 29 | |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 30 | using namespace arm_compute::utils; |
Georgios Pinitas | d9eb275 | 2018-04-03 13:44:29 +0100 | [diff] [blame] | 31 | using namespace arm_compute::graph::frontend; |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 32 | using namespace arm_compute::graph_utils; |
| 33 | |
Georgios Pinitas | 108ab0b | 2018-09-14 18:35:11 +0100 | [diff] [blame] | 34 | /** 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] | 35 | class GraphGooglenetExample : public Example |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 36 | { |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 37 | public: |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 38 | GraphGooglenetExample() |
| 39 | : 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); |
| 46 | |
| 47 | // Consume common parameters |
| 48 | common_params = consume_common_graph_parameters(common_opts); |
| 49 | |
| 50 | // Return when help menu is requested |
| 51 | if(common_params.help) |
| 52 | { |
| 53 | cmd_parser.print_help(argv[0]); |
| 54 | return false; |
| 55 | } |
| 56 | |
| 57 | // Checks |
Anthony Barbier | cdd68c0 | 2018-08-23 15:03:41 +0100 | [diff] [blame] | 58 | ARM_COMPUTE_EXIT_ON_MSG(arm_compute::is_data_type_quantized_asymmetric(common_params.data_type), "QASYMM8 not supported for this graph"); |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 59 | |
| 60 | // Print parameter values |
| 61 | std::cout << common_params << std::endl; |
| 62 | |
| 63 | // Get trainable parameters data path |
| 64 | std::string data_path = common_params.data_path; |
Isabella Gottardi | a4c6188 | 2017-11-03 12:11:55 +0000 | [diff] [blame] | 65 | |
Georgios Pinitas | 140fdc7 | 2018-02-16 11:42:38 +0000 | [diff] [blame] | 66 | // Create a preprocessor object |
| 67 | const std::array<float, 3> mean_rgb{ { 122.68f, 116.67f, 104.01f } }; |
| 68 | std::unique_ptr<IPreprocessor> preprocessor = arm_compute::support::cpp14::make_unique<CaffePreproccessor>(mean_rgb); |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 69 | |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 70 | // Create input descriptor |
| 71 | const TensorShape tensor_shape = permute_shape(TensorShape(224U, 224U, 3U, 1U), DataLayout::NCHW, common_params.data_layout); |
| 72 | TensorDescriptor input_descriptor = TensorDescriptor(tensor_shape, common_params.data_type).set_layout(common_params.data_layout); |
| 73 | |
| 74 | // Set weights trained layout |
| 75 | const DataLayout weights_layout = DataLayout::NCHW; |
| 76 | |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 77 | graph << common_params.target |
| 78 | << common_params.fast_math_hint |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 79 | << InputLayer(input_descriptor, get_input_accessor(common_params, std::move(preprocessor))) |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 80 | << ConvolutionLayer( |
| 81 | 7U, 7U, 64U, |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 82 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv1/conv1_7x7_s2_w.npy", weights_layout), |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 83 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv1/conv1_7x7_s2_b.npy"), |
| 84 | PadStrideInfo(2, 2, 3, 3)) |
Georgios Pinitas | 62c3639 | 2019-01-31 12:53:10 +0000 | [diff] [blame] | 85 | .set_name("conv1/7x7_s2") |
| 86 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv1/relu_7x7") |
| 87 | << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))).set_name("pool1/3x3_s2") |
| 88 | << NormalizationLayer(NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f)).set_name("pool1/norm1") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 89 | << ConvolutionLayer( |
| 90 | 1U, 1U, 64U, |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 91 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv2/conv2_3x3_reduce_w.npy", weights_layout), |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 92 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv2/conv2_3x3_reduce_b.npy"), |
| 93 | PadStrideInfo(1, 1, 0, 0)) |
Georgios Pinitas | 62c3639 | 2019-01-31 12:53:10 +0000 | [diff] [blame] | 94 | .set_name("conv2/3x3_reduce") |
| 95 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv2/relu_3x3_reduce") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 96 | << ConvolutionLayer( |
| 97 | 3U, 3U, 192U, |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 98 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv2/conv2_3x3_w.npy", weights_layout), |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 99 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/conv2/conv2_3x3_b.npy"), |
| 100 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 62c3639 | 2019-01-31 12:53:10 +0000 | [diff] [blame] | 101 | .set_name("conv2/3x3") |
| 102 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv2/relu_3x3") |
| 103 | << NormalizationLayer(NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f)).set_name("conv2/norm2") |
| 104 | << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))).set_name("pool2/3x3_s2"); |
| 105 | graph << get_inception_node(data_path, "inception_3a", weights_layout, 64, std::make_tuple(96U, 128U), std::make_tuple(16U, 32U), 32U).set_name("inception_3a/concat"); |
| 106 | graph << get_inception_node(data_path, "inception_3b", weights_layout, 128, std::make_tuple(128U, 192U), std::make_tuple(32U, 96U), 64U).set_name("inception_3b/concat"); |
| 107 | graph << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))).set_name("pool3/3x3_s2"); |
| 108 | graph << get_inception_node(data_path, "inception_4a", weights_layout, 192, std::make_tuple(96U, 208U), std::make_tuple(16U, 48U), 64U).set_name("inception_4a/concat"); |
| 109 | graph << get_inception_node(data_path, "inception_4b", weights_layout, 160, std::make_tuple(112U, 224U), std::make_tuple(24U, 64U), 64U).set_name("inception_4b/concat"); |
| 110 | graph << get_inception_node(data_path, "inception_4c", weights_layout, 128, std::make_tuple(128U, 256U), std::make_tuple(24U, 64U), 64U).set_name("inception_4c/concat"); |
| 111 | graph << get_inception_node(data_path, "inception_4d", weights_layout, 112, std::make_tuple(144U, 288U), std::make_tuple(32U, 64U), 64U).set_name("inception_4d/concat"); |
| 112 | graph << get_inception_node(data_path, "inception_4e", weights_layout, 256, std::make_tuple(160U, 320U), std::make_tuple(32U, 128U), 128U).set_name("inception_4e/concat"); |
| 113 | graph << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(2, 2, 0, 0, DimensionRoundingType::CEIL))).set_name("pool4/3x3_s2"); |
| 114 | graph << get_inception_node(data_path, "inception_5a", weights_layout, 256, std::make_tuple(160U, 320U), std::make_tuple(32U, 128U), 128U).set_name("inception_5a/concat"); |
| 115 | graph << get_inception_node(data_path, "inception_5b", weights_layout, 384, std::make_tuple(192U, 384U), std::make_tuple(48U, 128U), 128U).set_name("inception_5b/concat"); |
| 116 | graph << PoolingLayer(PoolingLayerInfo(PoolingType::AVG, 7, PadStrideInfo(1, 1, 0, 0, DimensionRoundingType::CEIL))).set_name("pool5/7x7_s1") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 117 | << FullyConnectedLayer( |
| 118 | 1000U, |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 119 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/loss3/loss3_classifier_w.npy", weights_layout), |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 120 | get_weights_accessor(data_path, "/cnn_data/googlenet_model/loss3/loss3_classifier_b.npy")) |
Georgios Pinitas | 62c3639 | 2019-01-31 12:53:10 +0000 | [diff] [blame] | 121 | .set_name("loss3/classifier") |
| 122 | << SoftmaxLayer().set_name("prob") |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 123 | << OutputLayer(get_output_accessor(common_params, 5)); |
Gian Marco | c1b6e37 | 2018-02-21 18:03:26 +0000 | [diff] [blame] | 124 | |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 125 | // Finalize graph |
Georgios Pinitas | 9a8c672 | 2018-03-21 17:52:35 +0000 | [diff] [blame] | 126 | GraphConfig config; |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 127 | config.num_threads = common_params.threads; |
| 128 | config.use_tuner = common_params.enable_tuner; |
Vidhya Sudhan Loganathan | 050471e | 2019-04-25 09:27:24 +0100 | [diff] [blame] | 129 | config.tuner_mode = common_params.tuner_mode; |
Anthony Barbier | 7b607dc | 2018-07-13 15:55:24 +0100 | [diff] [blame] | 130 | config.tuner_file = common_params.tuner_file; |
| 131 | |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 132 | graph.finalize(common_params.target, config); |
| 133 | |
| 134 | return true; |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 135 | } |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 136 | void do_run() override |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 137 | { |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 138 | // Run graph |
| 139 | graph.run(); |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 140 | } |
| 141 | |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 142 | private: |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 143 | CommandLineParser cmd_parser; |
| 144 | CommonGraphOptions common_opts; |
| 145 | CommonGraphParams common_params; |
| 146 | Stream graph; |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 147 | |
Georgios Pinitas | 427bbbf | 2018-08-28 13:32:02 +0100 | [diff] [blame] | 148 | ConcatLayer get_inception_node(const std::string &data_path, std::string &¶m_path, DataLayout weights_layout, |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 149 | unsigned int a_filt, |
| 150 | std::tuple<unsigned int, unsigned int> b_filters, |
| 151 | std::tuple<unsigned int, unsigned int> c_filters, |
| 152 | unsigned int d_filt) |
| 153 | { |
| 154 | std::string total_path = "/cnn_data/googlenet_model/" + param_path + "/" + param_path + "_"; |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 155 | SubStream i_a(graph); |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 156 | i_a << ConvolutionLayer( |
| 157 | 1U, 1U, a_filt, |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 158 | get_weights_accessor(data_path, total_path + "1x1_w.npy", weights_layout), |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 159 | get_weights_accessor(data_path, total_path + "1x1_b.npy"), |
| 160 | PadStrideInfo(1, 1, 0, 0)) |
Georgios Pinitas | 62c3639 | 2019-01-31 12:53:10 +0000 | [diff] [blame] | 161 | .set_name(param_path + "/1x1") |
| 162 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/relu_1x1"); |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 163 | |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 164 | SubStream i_b(graph); |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 165 | i_b << ConvolutionLayer( |
| 166 | 1U, 1U, std::get<0>(b_filters), |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 167 | get_weights_accessor(data_path, total_path + "3x3_reduce_w.npy", weights_layout), |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 168 | get_weights_accessor(data_path, total_path + "3x3_reduce_b.npy"), |
| 169 | PadStrideInfo(1, 1, 0, 0)) |
Georgios Pinitas | 62c3639 | 2019-01-31 12:53:10 +0000 | [diff] [blame] | 170 | .set_name(param_path + "/3x3_reduce") |
| 171 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/relu_3x3_reduce") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 172 | << ConvolutionLayer( |
| 173 | 3U, 3U, std::get<1>(b_filters), |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 174 | get_weights_accessor(data_path, total_path + "3x3_w.npy", weights_layout), |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 175 | get_weights_accessor(data_path, total_path + "3x3_b.npy"), |
| 176 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 62c3639 | 2019-01-31 12:53:10 +0000 | [diff] [blame] | 177 | .set_name(param_path + "/3x3") |
| 178 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/relu_3x3"); |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 179 | |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 180 | SubStream i_c(graph); |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 181 | i_c << ConvolutionLayer( |
| 182 | 1U, 1U, std::get<0>(c_filters), |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 183 | get_weights_accessor(data_path, total_path + "5x5_reduce_w.npy", weights_layout), |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 184 | get_weights_accessor(data_path, total_path + "5x5_reduce_b.npy"), |
| 185 | PadStrideInfo(1, 1, 0, 0)) |
Georgios Pinitas | 62c3639 | 2019-01-31 12:53:10 +0000 | [diff] [blame] | 186 | .set_name(param_path + "/5x5_reduce") |
| 187 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/relu_5x5_reduce") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 188 | << ConvolutionLayer( |
| 189 | 5U, 5U, std::get<1>(c_filters), |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 190 | get_weights_accessor(data_path, total_path + "5x5_w.npy", weights_layout), |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 191 | get_weights_accessor(data_path, total_path + "5x5_b.npy"), |
| 192 | PadStrideInfo(1, 1, 2, 2)) |
Georgios Pinitas | 62c3639 | 2019-01-31 12:53:10 +0000 | [diff] [blame] | 193 | .set_name(param_path + "/5x5") |
| 194 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/relu_5x5"); |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 195 | |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 196 | SubStream i_d(graph); |
Georgios Pinitas | 62c3639 | 2019-01-31 12:53:10 +0000 | [diff] [blame] | 197 | i_d << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, PadStrideInfo(1, 1, 1, 1, DimensionRoundingType::CEIL))).set_name(param_path + "/pool") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 198 | << ConvolutionLayer( |
| 199 | 1U, 1U, d_filt, |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 200 | get_weights_accessor(data_path, total_path + "pool_proj_w.npy", weights_layout), |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 201 | get_weights_accessor(data_path, total_path + "pool_proj_b.npy"), |
| 202 | PadStrideInfo(1, 1, 0, 0)) |
Georgios Pinitas | 62c3639 | 2019-01-31 12:53:10 +0000 | [diff] [blame] | 203 | .set_name(param_path + "/pool_proj") |
| 204 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(param_path + "/relu_pool_proj"); |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 205 | |
Georgios Pinitas | 427bbbf | 2018-08-28 13:32:02 +0100 | [diff] [blame] | 206 | 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] | 207 | } |
| 208 | }; |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 209 | |
| 210 | /** Main program for Googlenet |
| 211 | * |
Georgios Pinitas | bdbbbe8 | 2018-11-07 16:06:47 +0000 | [diff] [blame] | 212 | * Model is based on: |
| 213 | * https://arxiv.org/abs/1409.4842 |
| 214 | * "Going deeper with convolutions" |
| 215 | * Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich |
| 216 | * |
Georgios Pinitas | 588ebc5 | 2018-12-21 13:39:07 +0000 | [diff] [blame] | 217 | * Provenance: https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet |
| 218 | * |
Georgios Pinitas | 9f28b39 | 2018-07-18 20:01:53 +0100 | [diff] [blame] | 219 | * @note To list all the possible arguments execute the binary appended with the --help option |
| 220 | * |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 221 | * @param[in] argc Number of arguments |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 222 | * @param[in] argv Arguments |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 223 | */ |
Anthony Barbier | 6db0ff5 | 2018-01-05 10:59:12 +0000 | [diff] [blame] | 224 | int main(int argc, char **argv) |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 225 | { |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 226 | return arm_compute::utils::run_example<GraphGooglenetExample>(argc, argv); |
Georgios Pinitas | e2c82fe | 2017-10-02 18:51:47 +0100 | [diff] [blame] | 227 | } |