Georgios Pinitas | 0e2b526 | 2018-12-04 11:55:31 +0000 | [diff] [blame] | 1 | /* |
| 2 | * Copyright (c) 2018 ARM Limited. |
| 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 | */ |
| 24 | #include "arm_compute/graph.h" |
| 25 | #include "support/ToolchainSupport.h" |
| 26 | #include "utils/CommonGraphOptions.h" |
| 27 | #include "utils/GraphUtils.h" |
| 28 | #include "utils/Utils.h" |
| 29 | |
| 30 | using namespace arm_compute; |
| 31 | using namespace arm_compute::utils; |
| 32 | using namespace arm_compute::graph::frontend; |
| 33 | using namespace arm_compute::graph_utils; |
| 34 | |
| 35 | /** Example demonstrating how to implement VGG based VDSR network using the Compute Library's graph API */ |
| 36 | class GraphVDSRExample : public Example |
| 37 | { |
| 38 | public: |
| 39 | GraphVDSRExample() |
| 40 | : cmd_parser(), common_opts(cmd_parser), common_params(), graph(0, "VDSR") |
| 41 | { |
| 42 | model_input_width = cmd_parser.add_option<SimpleOption<unsigned int>>("image-width", 192); |
| 43 | model_input_height = cmd_parser.add_option<SimpleOption<unsigned int>>("image-height", 192); |
| 44 | |
| 45 | // Add model id option |
| 46 | model_input_width->set_help("Input image width."); |
| 47 | model_input_height->set_help("Input image height."); |
| 48 | } |
| 49 | GraphVDSRExample(const GraphVDSRExample &) = delete; |
| 50 | GraphVDSRExample &operator=(const GraphVDSRExample &) = delete; |
| 51 | GraphVDSRExample(GraphVDSRExample &&) = default; // NOLINT |
| 52 | GraphVDSRExample &operator=(GraphVDSRExample &&) = default; // NOLINT |
| 53 | ~GraphVDSRExample() override = default; |
| 54 | bool do_setup(int argc, char **argv) override |
| 55 | { |
| 56 | // Parse arguments |
| 57 | cmd_parser.parse(argc, argv); |
| 58 | |
| 59 | // Consume common parameters |
| 60 | common_params = consume_common_graph_parameters(common_opts); |
| 61 | |
| 62 | // Return when help menu is requested |
| 63 | if(common_params.help) |
| 64 | { |
| 65 | cmd_parser.print_help(argv[0]); |
| 66 | return false; |
| 67 | } |
| 68 | |
| 69 | // Get input image width and height |
| 70 | const unsigned int image_width = model_input_width->value(); |
| 71 | const unsigned int image_height = model_input_height->value(); |
| 72 | |
| 73 | // Print parameter values |
| 74 | std::cout << common_params << std::endl; |
| 75 | std::cout << "Image width: " << image_width << std::endl; |
| 76 | std::cout << "Image height: " << image_height << std::endl; |
| 77 | |
Georgios Pinitas | 0e2b526 | 2018-12-04 11:55:31 +0000 | [diff] [blame] | 78 | // Get trainable parameters data path |
| 79 | const std::string data_path = common_params.data_path; |
| 80 | const std::string model_path = "/cnn_data/vdsr_model/"; |
| 81 | |
| 82 | // Create a preprocessor object |
| 83 | std::unique_ptr<IPreprocessor> preprocessor = arm_compute::support::cpp14::make_unique<TFPreproccessor>(); |
| 84 | |
| 85 | // Create input descriptor |
| 86 | const TensorShape tensor_shape = permute_shape(TensorShape(image_width, image_height, 1U, 1U), DataLayout::NCHW, common_params.data_layout); |
| 87 | TensorDescriptor input_descriptor = TensorDescriptor(tensor_shape, common_params.data_type).set_layout(common_params.data_layout); |
| 88 | |
| 89 | // Set weights trained layout |
| 90 | const DataLayout weights_layout = DataLayout::NCHW; |
| 91 | |
| 92 | // Note: Quantization info are random and used only for benchmarking purposes |
| 93 | graph << common_params.target |
| 94 | << common_params.fast_math_hint |
| 95 | << InputLayer(input_descriptor.set_quantization_info(QuantizationInfo(0.0078125f, 128)), |
| 96 | get_input_accessor(common_params, std::move(preprocessor), false)); |
| 97 | |
| 98 | SubStream left(graph); |
| 99 | SubStream right(graph); |
| 100 | |
| 101 | // Layer 1 |
| 102 | right << ConvolutionLayer( |
| 103 | 3U, 3U, 64U, |
| 104 | get_weights_accessor(data_path, "conv0_w.npy", weights_layout), |
| 105 | get_weights_accessor(data_path, "conv0_b.npy"), |
| 106 | PadStrideInfo(1, 1, 1, 1), 1, QuantizationInfo(0.031778190285f, 156), QuantizationInfo(0.0784313753247f, 128)) |
| 107 | .set_name("conv0") |
| 108 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv0/Relu"); |
| 109 | |
| 110 | // Rest 17 layers |
| 111 | for(unsigned int i = 1; i < 19; ++i) |
| 112 | { |
| 113 | const std::string conv_w_path = "conv" + arm_compute::support::cpp11::to_string(i) + "_w.npy"; |
| 114 | const std::string conv_b_path = "conv" + arm_compute::support::cpp11::to_string(i) + "_b.npy"; |
| 115 | const std::string conv_name = "conv" + arm_compute::support::cpp11::to_string(i); |
| 116 | right << ConvolutionLayer( |
| 117 | 3U, 3U, 64U, |
| 118 | get_weights_accessor(data_path, conv_w_path, weights_layout), |
| 119 | get_weights_accessor(data_path, conv_b_path), |
| 120 | PadStrideInfo(1, 1, 1, 1), 1, QuantizationInfo(0.015851572156f, 93)) |
| 121 | .set_name(conv_name) |
| 122 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name(conv_name + "/Relu"); |
| 123 | } |
| 124 | |
| 125 | // Final layer |
| 126 | right << ConvolutionLayer( |
| 127 | 3U, 3U, 1U, |
| 128 | get_weights_accessor(data_path, "conv20_w.npy", weights_layout), |
| 129 | get_weights_accessor(data_path, "conv20_b.npy"), |
| 130 | PadStrideInfo(1, 1, 1, 1), 1, QuantizationInfo(0.015851572156f, 93)) |
| 131 | .set_name("conv20") |
| 132 | << ActivationLayer(ActivationLayerInfo(ActivationLayerInfo::ActivationFunction::RELU)).set_name("conv20/Relu"); |
| 133 | |
| 134 | // Add residual to input |
| 135 | graph << EltwiseLayer(std::move(left), std::move(right), EltwiseOperation::Add).set_name("add") |
| 136 | << OutputLayer(arm_compute::support::cpp14::make_unique<DummyAccessor>(0)); |
| 137 | |
| 138 | // Finalize graph |
| 139 | GraphConfig config; |
| 140 | config.num_threads = common_params.threads; |
| 141 | config.use_tuner = common_params.enable_tuner; |
| 142 | config.tuner_file = common_params.tuner_file; |
| 143 | |
| 144 | graph.finalize(common_params.target, config); |
| 145 | |
| 146 | return true; |
| 147 | } |
| 148 | void do_run() override |
| 149 | { |
| 150 | // Run graph |
| 151 | graph.run(); |
| 152 | } |
| 153 | |
| 154 | private: |
| 155 | CommandLineParser cmd_parser; |
| 156 | CommonGraphOptions common_opts; |
| 157 | SimpleOption<unsigned int> *model_input_width{ nullptr }; |
| 158 | SimpleOption<unsigned int> *model_input_height{ nullptr }; |
| 159 | CommonGraphParams common_params; |
| 160 | Stream graph; |
| 161 | }; |
| 162 | |
| 163 | /** Main program for VGG-based VDSR |
| 164 | * |
| 165 | * Model is based on: |
| 166 | * https://arxiv.org/pdf/1511.04587.pdf |
| 167 | * "Accurate Image Super-Resolution Using Very Deep Convolutional Networks" |
| 168 | * Jiwon Kim, Jung Kwon Lee and Kyoung Mu Lee |
| 169 | * |
| 170 | * @note To list all the possible arguments execute the binary appended with the --help option |
| 171 | * |
| 172 | * @param[in] argc Number of arguments |
| 173 | * @param[in] argv Arguments |
| 174 | */ |
| 175 | int main(int argc, char **argv) |
| 176 | { |
| 177 | return arm_compute::utils::run_example<GraphVDSRExample>(argc, argv); |
| 178 | } |