Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +0100 | [diff] [blame] | 1 | /* |
Gian Marco | 36a0a46 | 2018-01-12 10:21:40 +0000 | [diff] [blame] | 2 | * Copyright (c) 2017-2018 ARM Limited. |
Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +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" |
Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +0100 | [diff] [blame] | 25 | #include "support/ToolchainSupport.h" |
| 26 | #include "utils/GraphUtils.h" |
| 27 | #include "utils/Utils.h" |
| 28 | |
| 29 | #include <cstdlib> |
| 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; |
Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +0100 | [diff] [blame] | 33 | using namespace arm_compute::graph_utils; |
| 34 | |
| 35 | /** Example demonstrating how to implement VGG16's network using the Compute Library's graph API |
| 36 | * |
| 37 | * @param[in] argc Number of arguments |
Giorgio Arena | 59631a1 | 2018-05-02 13:59:04 +0100 | [diff] [blame] | 38 | * @param[in] argv Arguments ( [optional] Target (0 = NEON, 1 = OpenCL), [optional] Path to the weights folder, [optional] image, [optional] labels, [optional] Fast math for convolution layer (0 = DISABLED, 1 = ENABLED) ) |
Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +0100 | [diff] [blame] | 39 | */ |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 40 | class GraphVGG16Example : public Example |
Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +0100 | [diff] [blame] | 41 | { |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 42 | public: |
| 43 | void do_setup(int argc, char **argv) override |
| 44 | { |
| 45 | std::string data_path; /* Path to the trainable data */ |
| 46 | std::string image; /* Image data */ |
| 47 | std::string label; /* Label data */ |
Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +0100 | [diff] [blame] | 48 | |
Georgios Pinitas | 140fdc7 | 2018-02-16 11:42:38 +0000 | [diff] [blame] | 49 | // Create a preprocessor object |
| 50 | const std::array<float, 3> mean_rgb{ { 123.68f, 116.779f, 103.939f } }; |
| 51 | std::unique_ptr<IPreprocessor> preprocessor = arm_compute::support::cpp14::make_unique<CaffePreproccessor>(mean_rgb); |
Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +0100 | [diff] [blame] | 52 | |
Michele Di Giorgio | e3fba0a | 2018-02-14 14:18:01 +0000 | [diff] [blame] | 53 | // Set target. 0 (NEON), 1 (OpenCL), 2 (OpenCL with Tuner). By default it is NEON |
Gian Marco Iodice | 1ed442a | 2018-04-11 10:58:31 +0100 | [diff] [blame] | 54 | const int target = argc > 1 ? std::strtol(argv[1], nullptr, 10) : 0; |
| 55 | Target target_hint = set_target_hint(target); |
| 56 | const bool is_opencl = target_hint == Target::CL; |
Gian Marco | 5ca7409 | 2018-02-08 16:21:54 +0000 | [diff] [blame] | 57 | |
Gian Marco Iodice | ed99f41 | 2018-03-21 17:45:31 +0000 | [diff] [blame] | 58 | ConvolutionMethod first_convolution3x3_hint = is_opencl ? ConvolutionMethod::DIRECT : ConvolutionMethod::GEMM; |
Gian Marco Iodice | 1ed442a | 2018-04-11 10:58:31 +0100 | [diff] [blame] | 59 | ConvolutionMethod convolution3x3_hint = ConvolutionMethod::DEFAULT; |
Giorgio Arena | 59631a1 | 2018-05-02 13:59:04 +0100 | [diff] [blame] | 60 | FastMathHint fast_math_hint = FastMathHint::DISABLED; |
Gian Marco | bfa3b52 | 2017-12-12 10:08:38 +0000 | [diff] [blame] | 61 | |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 62 | // Parse arguments |
| 63 | if(argc < 2) |
| 64 | { |
| 65 | // Print help |
Giorgio Arena | 59631a1 | 2018-05-02 13:59:04 +0100 | [diff] [blame] | 66 | std::cout << "Usage: " << argv[0] << " [target] [path_to_data] [image] [labels] [fast_math_hint]\n\n"; |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 67 | std::cout << "No data folder provided: using random values\n\n"; |
| 68 | } |
| 69 | else if(argc == 2) |
| 70 | { |
Giorgio Arena | 59631a1 | 2018-05-02 13:59:04 +0100 | [diff] [blame] | 71 | std::cout << "Usage: " << argv[0] << " " << argv[1] << " [path_to_data] [image] [labels] [fast_math_hint]\n\n"; |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 72 | std::cout << "No data folder provided: using random values\n\n"; |
| 73 | } |
| 74 | else if(argc == 3) |
| 75 | { |
| 76 | data_path = argv[2]; |
Giorgio Arena | 59631a1 | 2018-05-02 13:59:04 +0100 | [diff] [blame] | 77 | std::cout << "Usage: " << argv[0] << " " << argv[1] << " " << argv[2] << " [image] [labels] [fast_math_hint]\n\n"; |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 78 | std::cout << "No image provided: using random values\n\n"; |
| 79 | } |
| 80 | else if(argc == 4) |
| 81 | { |
| 82 | data_path = argv[2]; |
| 83 | image = argv[3]; |
Giorgio Arena | 59631a1 | 2018-05-02 13:59:04 +0100 | [diff] [blame] | 84 | std::cout << "Usage: " << argv[0] << " " << argv[1] << " " << argv[2] << " " << argv[3] << " [labels] [fast_math_hint]\n\n"; |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 85 | std::cout << "No text file with labels provided: skipping output accessor\n\n"; |
| 86 | } |
Giorgio Arena | 59631a1 | 2018-05-02 13:59:04 +0100 | [diff] [blame] | 87 | else if(argc == 5) |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 88 | { |
| 89 | data_path = argv[2]; |
| 90 | image = argv[3]; |
| 91 | label = argv[4]; |
Giorgio Arena | 59631a1 | 2018-05-02 13:59:04 +0100 | [diff] [blame] | 92 | std::cout << "Usage: " << argv[0] << " " << argv[1] << " " << argv[2] << " " << argv[3] << " " << argv[4] << " [fast_math_hint]\n\n"; |
| 93 | std::cout << "No fast math info provided: disabling fast math\n\n"; |
| 94 | } |
| 95 | else |
| 96 | { |
| 97 | data_path = argv[2]; |
| 98 | image = argv[3]; |
| 99 | label = argv[4]; |
| 100 | fast_math_hint = (std::strtol(argv[5], nullptr, 1) == 0) ? FastMathHint::DISABLED : FastMathHint::ENABLED; |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 101 | } |
| 102 | |
| 103 | graph << target_hint |
Giorgio Arena | 59631a1 | 2018-05-02 13:59:04 +0100 | [diff] [blame] | 104 | << fast_math_hint |
Gian Marco Iodice | ed99f41 | 2018-03-21 17:45:31 +0000 | [diff] [blame] | 105 | << first_convolution3x3_hint |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 106 | << InputLayer(TensorDescriptor(TensorShape(224U, 224U, 3U, 1U), DataType::F32), |
| 107 | get_input_accessor(image, std::move(preprocessor))) |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 108 | // Layer 1 |
| 109 | << ConvolutionLayer( |
| 110 | 3U, 3U, 64U, |
| 111 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv1_1_w.npy"), |
| 112 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv1_1_b.npy"), |
| 113 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 114 | .set_name("conv1_1") |
| 115 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv1_1/Relu") |
Gian Marco Iodice | ed99f41 | 2018-03-21 17:45:31 +0000 | [diff] [blame] | 116 | << convolution3x3_hint |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 117 | // Layer 2 |
| 118 | << ConvolutionLayer( |
| 119 | 3U, 3U, 64U, |
| 120 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv1_2_w.npy"), |
| 121 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv1_2_b.npy"), |
| 122 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 123 | .set_name("conv1_2") |
| 124 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv1_2/Relu") |
| 125 | << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0))).set_name("pool1") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 126 | // Layer 3 |
| 127 | << ConvolutionLayer( |
| 128 | 3U, 3U, 128U, |
| 129 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv2_1_w.npy"), |
| 130 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv2_1_b.npy"), |
| 131 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 132 | .set_name("conv2_1") |
| 133 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv2_1/Relu") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 134 | // Layer 4 |
| 135 | << ConvolutionLayer( |
| 136 | 3U, 3U, 128U, |
| 137 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv2_2_w.npy"), |
| 138 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv2_2_b.npy"), |
| 139 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 140 | .set_name("conv2_2") |
| 141 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv2_2/Relu") |
| 142 | << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0))).set_name("pool2") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 143 | // Layer 5 |
| 144 | << ConvolutionLayer( |
| 145 | 3U, 3U, 256U, |
| 146 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv3_1_w.npy"), |
| 147 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv3_1_b.npy"), |
| 148 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 149 | .set_name("conv3_1") |
| 150 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv3_1/Relu") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 151 | // Layer 6 |
| 152 | << ConvolutionLayer( |
| 153 | 3U, 3U, 256U, |
| 154 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv3_2_w.npy"), |
| 155 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv3_2_b.npy"), |
| 156 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 157 | .set_name("conv3_2") |
| 158 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv3_2/Relu") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 159 | // Layer 7 |
| 160 | << ConvolutionLayer( |
| 161 | 3U, 3U, 256U, |
| 162 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv3_3_w.npy"), |
| 163 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv3_3_b.npy"), |
| 164 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 165 | .set_name("conv3_3") |
| 166 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv3_3/Relu") |
| 167 | << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0))).set_name("pool3") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 168 | // Layer 8 |
| 169 | << ConvolutionLayer( |
| 170 | 3U, 3U, 512U, |
| 171 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv4_1_w.npy"), |
| 172 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv4_1_b.npy"), |
| 173 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 174 | .set_name("conv4_1") |
| 175 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv4_1/Relu") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 176 | // Layer 9 |
| 177 | << ConvolutionLayer( |
| 178 | 3U, 3U, 512U, |
| 179 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv4_2_w.npy"), |
| 180 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv4_2_b.npy"), |
| 181 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 182 | .set_name("conv4_2") |
| 183 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv4_2/Relu") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 184 | // Layer 10 |
| 185 | << ConvolutionLayer( |
| 186 | 3U, 3U, 512U, |
| 187 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv4_3_w.npy"), |
| 188 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv4_3_b.npy"), |
| 189 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 190 | .set_name("conv4_3") |
| 191 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv4_3/Relu") |
| 192 | << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0))).set_name("pool4") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 193 | // Layer 11 |
| 194 | << ConvolutionLayer( |
| 195 | 3U, 3U, 512U, |
| 196 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv5_1_w.npy"), |
| 197 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv5_1_b.npy"), |
| 198 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 199 | .set_name("conv5_1") |
| 200 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv5_1/Relu") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 201 | // Layer 12 |
| 202 | << ConvolutionLayer( |
| 203 | 3U, 3U, 512U, |
| 204 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv5_2_w.npy"), |
| 205 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv5_2_b.npy"), |
| 206 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 207 | .set_name("conv5_2") |
| 208 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv5_2/Relu") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 209 | // Layer 13 |
| 210 | << ConvolutionLayer( |
| 211 | 3U, 3U, 512U, |
| 212 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv5_3_w.npy"), |
| 213 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/conv5_3_b.npy"), |
| 214 | PadStrideInfo(1, 1, 1, 1)) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 215 | .set_name("conv5_3") |
| 216 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv5_3/Relu") |
| 217 | << PoolingLayer(PoolingLayerInfo(PoolingType::MAX, 2, PadStrideInfo(2, 2, 0, 0))).set_name("pool5") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 218 | // Layer 14 |
| 219 | << FullyConnectedLayer( |
| 220 | 4096U, |
| 221 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/fc6_w.npy"), |
| 222 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/fc6_b.npy")) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 223 | .set_name("fc6") |
| 224 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Relu") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 225 | // Layer 15 |
| 226 | << FullyConnectedLayer( |
| 227 | 4096U, |
| 228 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/fc7_w.npy"), |
| 229 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/fc7_b.npy")) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 230 | .set_name("fc7") |
| 231 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("Relu_1") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 232 | // Layer 16 |
| 233 | << FullyConnectedLayer( |
| 234 | 1000U, |
| 235 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/fc8_w.npy"), |
| 236 | get_weights_accessor(data_path, "/cnn_data/vgg16_model/fc8_b.npy")) |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 237 | .set_name("fc8") |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 238 | // Softmax |
Georgios Pinitas | 5c2fb3f | 2018-05-01 15:26:20 +0100 | [diff] [blame] | 239 | << SoftmaxLayer().set_name("prob") |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 240 | << OutputLayer(get_output_accessor(label, 5)); |
Gian Marco | c1b6e37 | 2018-02-21 18:03:26 +0000 | [diff] [blame] | 241 | |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 242 | // Finalize graph |
Georgios Pinitas | 9a8c672 | 2018-03-21 17:52:35 +0000 | [diff] [blame] | 243 | GraphConfig config; |
Georgios Pinitas | 3d1489d | 2018-05-03 20:47:16 +0100 | [diff] [blame] | 244 | config.use_tuner = (target == 2); |
Georgios Pinitas | 9a8c672 | 2018-03-21 17:52:35 +0000 | [diff] [blame] | 245 | graph.finalize(target_hint, config); |
Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +0100 | [diff] [blame] | 246 | } |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 247 | void do_run() override |
Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +0100 | [diff] [blame] | 248 | { |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 249 | // Run graph |
| 250 | graph.run(); |
Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +0100 | [diff] [blame] | 251 | } |
| 252 | |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 253 | private: |
Georgios Pinitas | d8734b5 | 2017-12-22 15:27:52 +0000 | [diff] [blame] | 254 | Stream graph{ 0, "VGG16" }; |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 255 | }; |
Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +0100 | [diff] [blame] | 256 | |
| 257 | /** Main program for VGG16 |
| 258 | * |
| 259 | * @param[in] argc Number of arguments |
Giorgio Arena | 59631a1 | 2018-05-02 13:59:04 +0100 | [diff] [blame] | 260 | * @param[in] argv Arguments ( [optional] Target (0 = NEON, 1 = OpenCL), [optional] Path to the weights folder, [optional] image, [optional] labels, [optional] Fast math for convolution layer (0 = DISABLED, 1 = ENABLED) ) |
Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +0100 | [diff] [blame] | 261 | */ |
Anthony Barbier | 6db0ff5 | 2018-01-05 10:59:12 +0000 | [diff] [blame] | 262 | int main(int argc, char **argv) |
Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +0100 | [diff] [blame] | 263 | { |
Michalis Spyrou | 2b5f0f2 | 2018-01-10 14:08:50 +0000 | [diff] [blame] | 264 | return arm_compute::utils::run_example<GraphVGG16Example>(argc, argv); |
Gian Marco Iodice | e10bddb | 2017-10-11 15:03:26 +0100 | [diff] [blame] | 265 | } |