Georgios Pinitas | 6f669f0 | 2017-09-26 12:32:57 +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 | 6f669f0 | 2017-09-26 12:32:57 +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" |
Inki Dae | ea2ce17 | 2020-04-09 10:01:44 +0900 | [diff] [blame] | 25 | #ifdef ARM_COMPUTE_CL |
| 26 | #include "arm_compute/runtime/CL/Utils.h" |
| 27 | #endif /* ARM_COMPUTE_CL */ |
Georgios Pinitas | 6f669f0 | 2017-09-26 12:32:57 +0100 | [diff] [blame] | 28 | #include "support/ToolchainSupport.h" |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 29 | #include "utils/CommonGraphOptions.h" |
Georgios Pinitas | 6f669f0 | 2017-09-26 12:32:57 +0100 | [diff] [blame] | 30 | #include "utils/GraphUtils.h" |
| 31 | #include "utils/Utils.h" |
| 32 | |
Inki Dae | ea2ce17 | 2020-04-09 10:01:44 +0900 | [diff] [blame] | 33 | using namespace arm_compute; |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 34 | using namespace arm_compute::utils; |
Georgios Pinitas | d9eb275 | 2018-04-03 13:44:29 +0100 | [diff] [blame] | 35 | using namespace arm_compute::graph::frontend; |
Georgios Pinitas | 6f669f0 | 2017-09-26 12:32:57 +0100 | [diff] [blame] | 36 | using namespace arm_compute::graph_utils; |
| 37 | |
Georgios Pinitas | 108ab0b | 2018-09-14 18:35:11 +0100 | [diff] [blame] | 38 | /** Example demonstrating how to implement AlexNet's network using the Compute Library's graph API */ |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 39 | class GraphAlexnetExample : public Example |
Georgios Pinitas | 6f669f0 | 2017-09-26 12:32:57 +0100 | [diff] [blame] | 40 | { |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 41 | public: |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 42 | GraphAlexnetExample() : cmd_parser(), common_opts(cmd_parser), common_params(), graph(0, "AlexNet") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 43 | { |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 44 | } |
| 45 | bool do_setup(int argc, char **argv) override |
| 46 | { |
| 47 | // Parse arguments |
| 48 | cmd_parser.parse(argc, argv); |
Georgios Pinitas | cd60a5f | 2019-08-21 17:06:54 +0100 | [diff] [blame] | 49 | cmd_parser.validate(); |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 50 | |
| 51 | // Consume common parameters |
| 52 | common_params = consume_common_graph_parameters(common_opts); |
| 53 | |
| 54 | // Return when help menu is requested |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 55 | if (common_params.help) |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 56 | { |
| 57 | cmd_parser.print_help(argv[0]); |
| 58 | return false; |
| 59 | } |
| 60 | |
| 61 | // Checks |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 62 | ARM_COMPUTE_EXIT_ON_MSG(arm_compute::is_data_type_quantized_asymmetric(common_params.data_type), |
| 63 | "QASYMM8 not supported for this graph"); |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 64 | |
| 65 | // Print parameter values |
| 66 | std::cout << common_params << std::endl; |
| 67 | |
| 68 | // Get trainable parameters data path |
| 69 | std::string data_path = common_params.data_path; |
Gian Marco | 44ec2e7 | 2017-10-19 14:13:38 +0100 | [diff] [blame] | 70 | |
Georgios Pinitas | 140fdc7 | 2018-02-16 11:42:38 +0000 | [diff] [blame] | 71 | // Create a preprocessor object |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 72 | 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] | 73 | std::unique_ptr<IPreprocessor> preprocessor = std::make_unique<CaffePreproccessor>(mean_rgb); |
Georgios Pinitas | 6f669f0 | 2017-09-26 12:32:57 +0100 | [diff] [blame] | 74 | |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 75 | // Create input descriptor |
Sang-Hoon Park | 11fedda | 2020-01-15 14:44:04 +0000 | [diff] [blame] | 76 | const auto operation_layout = common_params.data_layout; |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 77 | const TensorShape tensor_shape = |
| 78 | permute_shape(TensorShape(227U, 227U, 3U, common_params.batches), DataLayout::NCHW, operation_layout); |
| 79 | TensorDescriptor input_descriptor = |
| 80 | TensorDescriptor(tensor_shape, common_params.data_type).set_layout(operation_layout); |
Georgios Pinitas | e222055 | 2018-07-20 13:23:44 +0100 | [diff] [blame] | 81 | |
| 82 | // Set weights trained layout |
| 83 | const DataLayout weights_layout = DataLayout::NCHW; |
| 84 | |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 85 | graph |
| 86 | << common_params.target << common_params.fast_math_hint |
| 87 | << InputLayer(input_descriptor, get_input_accessor(common_params, std::move(preprocessor))) |
| 88 | // Layer 1 |
| 89 | << ConvolutionLayer(11U, 11U, 96U, |
| 90 | get_weights_accessor(data_path, "/cnn_data/alexnet_model/conv1_w.npy", weights_layout), |
| 91 | get_weights_accessor(data_path, "/cnn_data/alexnet_model/conv1_b.npy"), |
| 92 | PadStrideInfo(4, 4, 0, 0)) |
| 93 | .set_name("conv1") |
| 94 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("relu1") |
| 95 | << NormalizationLayer(NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f)).set_name("norm1") |
| 96 | << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, operation_layout, PadStrideInfo(2, 2, 0, 0))) |
| 97 | .set_name("pool1") |
| 98 | // Layer 2 |
| 99 | << ConvolutionLayer( |
| 100 | 5U, 5U, 256U, get_weights_accessor(data_path, "/cnn_data/alexnet_model/conv2_w.npy", weights_layout), |
| 101 | get_weights_accessor(data_path, "/cnn_data/alexnet_model/conv2_b.npy"), PadStrideInfo(1, 1, 2, 2), 2) |
| 102 | .set_name("conv2") |
| 103 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("relu2") |
| 104 | << NormalizationLayer(NormalizationLayerInfo(NormType::CROSS_MAP, 5, 0.0001f, 0.75f)).set_name("norm2") |
| 105 | << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, operation_layout, PadStrideInfo(2, 2, 0, 0))) |
| 106 | .set_name("pool2") |
| 107 | // Layer 3 |
| 108 | << ConvolutionLayer( |
| 109 | 3U, 3U, 384U, get_weights_accessor(data_path, "/cnn_data/alexnet_model/conv3_w.npy", weights_layout), |
| 110 | get_weights_accessor(data_path, "/cnn_data/alexnet_model/conv3_b.npy"), PadStrideInfo(1, 1, 1, 1)) |
| 111 | .set_name("conv3") |
| 112 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("relu3") |
| 113 | // Layer 4 |
| 114 | << ConvolutionLayer( |
| 115 | 3U, 3U, 384U, get_weights_accessor(data_path, "/cnn_data/alexnet_model/conv4_w.npy", weights_layout), |
| 116 | get_weights_accessor(data_path, "/cnn_data/alexnet_model/conv4_b.npy"), PadStrideInfo(1, 1, 1, 1), 2) |
| 117 | .set_name("conv4") |
| 118 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("relu4") |
| 119 | // Layer 5 |
| 120 | << ConvolutionLayer( |
| 121 | 3U, 3U, 256U, get_weights_accessor(data_path, "/cnn_data/alexnet_model/conv5_w.npy", weights_layout), |
| 122 | get_weights_accessor(data_path, "/cnn_data/alexnet_model/conv5_b.npy"), PadStrideInfo(1, 1, 1, 1), 2) |
| 123 | .set_name("conv5") |
| 124 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("relu5") |
| 125 | << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 3, operation_layout, PadStrideInfo(2, 2, 0, 0))) |
| 126 | .set_name("pool5") |
| 127 | // Layer 6 |
| 128 | << FullyConnectedLayer(4096U, |
| 129 | get_weights_accessor(data_path, "/cnn_data/alexnet_model/fc6_w.npy", weights_layout), |
| 130 | get_weights_accessor(data_path, "/cnn_data/alexnet_model/fc6_b.npy")) |
| 131 | .set_name("fc6") |
| 132 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("relu6") |
| 133 | // Layer 7 |
| 134 | << FullyConnectedLayer(4096U, |
| 135 | get_weights_accessor(data_path, "/cnn_data/alexnet_model/fc7_w.npy", weights_layout), |
| 136 | get_weights_accessor(data_path, "/cnn_data/alexnet_model/fc7_b.npy")) |
| 137 | .set_name("fc7") |
| 138 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("relu7") |
| 139 | // Layer 8 |
| 140 | << FullyConnectedLayer(1000U, |
| 141 | get_weights_accessor(data_path, "/cnn_data/alexnet_model/fc8_w.npy", weights_layout), |
| 142 | get_weights_accessor(data_path, "/cnn_data/alexnet_model/fc8_b.npy")) |
| 143 | .set_name("fc8") |
| 144 | // Softmax |
| 145 | << SoftmaxLayer().set_name("prob") << OutputLayer(get_output_accessor(common_params, 5)); |
Gian Marco | c1b6e37 | 2018-02-21 18:03:26 +0000 | [diff] [blame] | 146 | |
Georgios Pinitas | ee33ea5 | 2018-03-08 16:01:29 +0000 | [diff] [blame] | 147 | // Finalize graph |
Georgios Pinitas | 9a8c672 | 2018-03-21 17:52:35 +0000 | [diff] [blame] | 148 | GraphConfig config; |
Pablo Tello | db9116f | 2019-07-11 16:50:37 +0100 | [diff] [blame] | 149 | |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 150 | config.num_threads = common_params.threads; |
| 151 | config.use_tuner = common_params.enable_tuner; |
Vidhya Sudhan Loganathan | 050471e | 2019-04-25 09:27:24 +0100 | [diff] [blame] | 152 | config.tuner_mode = common_params.tuner_mode; |
Anthony Barbier | 7b607dc | 2018-07-13 15:55:24 +0100 | [diff] [blame] | 153 | config.tuner_file = common_params.tuner_file; |
SiCong Li | 4841c97 | 2021-02-03 12:17:35 +0000 | [diff] [blame] | 154 | config.mlgo_file = common_params.mlgo_file; |
Anthony Barbier | 7b607dc | 2018-07-13 15:55:24 +0100 | [diff] [blame] | 155 | |
Pablo Tello | db9116f | 2019-07-11 16:50:37 +0100 | [diff] [blame] | 156 | // Load the precompiled kernels from a file into the kernel library, in this way the next time they are needed |
| 157 | // compilation won't be required. |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 158 | if (common_params.enable_cl_cache) |
Pablo Tello | db9116f | 2019-07-11 16:50:37 +0100 | [diff] [blame] | 159 | { |
Inki Dae | ea2ce17 | 2020-04-09 10:01:44 +0900 | [diff] [blame] | 160 | #ifdef ARM_COMPUTE_CL |
Pablo Tello | db9116f | 2019-07-11 16:50:37 +0100 | [diff] [blame] | 161 | restore_program_cache_from_file(); |
Inki Dae | ea2ce17 | 2020-04-09 10:01:44 +0900 | [diff] [blame] | 162 | #endif /* ARM_COMPUTE_CL */ |
Pablo Tello | db9116f | 2019-07-11 16:50:37 +0100 | [diff] [blame] | 163 | } |
| 164 | |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 165 | graph.finalize(common_params.target, config); |
| 166 | |
Pablo Tello | db9116f | 2019-07-11 16:50:37 +0100 | [diff] [blame] | 167 | // Save the opencl kernels to a file |
Felix Thomasmathibalan | afd38f0 | 2023-09-27 17:46:17 +0100 | [diff] [blame] | 168 | if (common_opts.enable_cl_cache) |
Pablo Tello | db9116f | 2019-07-11 16:50:37 +0100 | [diff] [blame] | 169 | { |
Inki Dae | ea2ce17 | 2020-04-09 10:01:44 +0900 | [diff] [blame] | 170 | #ifdef ARM_COMPUTE_CL |
Pablo Tello | db9116f | 2019-07-11 16:50:37 +0100 | [diff] [blame] | 171 | save_program_cache_to_file(); |
Inki Dae | ea2ce17 | 2020-04-09 10:01:44 +0900 | [diff] [blame] | 172 | #endif /* ARM_COMPUTE_CL */ |
Pablo Tello | db9116f | 2019-07-11 16:50:37 +0100 | [diff] [blame] | 173 | } |
| 174 | |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 175 | return true; |
Georgios Pinitas | 6f669f0 | 2017-09-26 12:32:57 +0100 | [diff] [blame] | 176 | } |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 177 | void do_run() override |
Georgios Pinitas | 6f669f0 | 2017-09-26 12:32:57 +0100 | [diff] [blame] | 178 | { |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 179 | // Run graph |
| 180 | graph.run(); |
Georgios Pinitas | 6f669f0 | 2017-09-26 12:32:57 +0100 | [diff] [blame] | 181 | } |
| 182 | |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 183 | private: |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 184 | CommandLineParser cmd_parser; |
| 185 | CommonGraphOptions common_opts; |
| 186 | CommonGraphParams common_params; |
| 187 | Stream graph; |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 188 | }; |
Georgios Pinitas | 6f669f0 | 2017-09-26 12:32:57 +0100 | [diff] [blame] | 189 | |
| 190 | /** Main program for AlexNet |
| 191 | * |
Georgios Pinitas | bdbbbe8 | 2018-11-07 16:06:47 +0000 | [diff] [blame] | 192 | * Model is based on: |
| 193 | * https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks |
| 194 | * "ImageNet Classification with Deep Convolutional Neural Networks" |
| 195 | * Alex Krizhevsky and Sutskever, Ilya and Hinton, Geoffrey E |
| 196 | * |
Georgios Pinitas | 588ebc5 | 2018-12-21 13:39:07 +0000 | [diff] [blame] | 197 | * Provenance: https://github.com/BVLC/caffe/tree/master/models/bvlc_alexnet |
| 198 | * |
Georgios Pinitas | 9f28b39 | 2018-07-18 20:01:53 +0100 | [diff] [blame] | 199 | * @note To list all the possible arguments execute the binary appended with the --help option |
| 200 | * |
Georgios Pinitas | 6f669f0 | 2017-09-26 12:32:57 +0100 | [diff] [blame] | 201 | * @param[in] argc Number of arguments |
Georgios Pinitas | 12be7ab | 2018-07-03 12:06:23 +0100 | [diff] [blame] | 202 | * @param[in] argv Arguments |
| 203 | * |
| 204 | * @return Return code |
Georgios Pinitas | 6f669f0 | 2017-09-26 12:32:57 +0100 | [diff] [blame] | 205 | */ |
Anthony Barbier | 6db0ff5 | 2018-01-05 10:59:12 +0000 | [diff] [blame] | 206 | int main(int argc, char **argv) |
Georgios Pinitas | 6f669f0 | 2017-09-26 12:32:57 +0100 | [diff] [blame] | 207 | { |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 208 | return arm_compute::utils::run_example<GraphAlexnetExample>(argc, argv); |
Georgios Pinitas | 6f669f0 | 2017-09-26 12:32:57 +0100 | [diff] [blame] | 209 | } |