| /* |
| * Copyright (c) 2020-2021 Arm Limited. |
| * |
| * SPDX-License-Identifier: MIT |
| * |
| * Permission is hereby granted, free of charge, to any person obtaining a copy |
| * of this software and associated documentation files (the "Software"), to |
| * deal in the Software without restriction, including without limitation the |
| * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or |
| * sell copies of the Software, and to permit persons to whom the Software is |
| * furnished to do so, subject to the following conditions: |
| * |
| * The above copyright notice and this permission notice shall be included in all |
| * copies or substantial portions of the Software. |
| * |
| * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR |
| * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, |
| * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE |
| * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER |
| * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, |
| * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE |
| * SOFTWARE. |
| */ |
| |
| #include "arm_compute/graph/Utils.h" |
| |
| #include "support/ToolchainSupport.h" |
| #include "utils/CommonGraphOptions.h" |
| #include "utils/Utils.h" |
| |
| #include "graph_edsr.h" |
| |
| using namespace arm_compute::graph; |
| using namespace arm_compute::utils; |
| |
| class GraphEdsrExample : public Example |
| { |
| public: |
| GraphEdsrExample() |
| : cmd_parser(), common_opts(cmd_parser), common_params() |
| { |
| expected_output_filename = cmd_parser.add_option<SimpleOption<std::string>>("expected-output-filename", ""); |
| expected_output_filename->set_help("Name of npy file containing the expected output to validate the graph output."); |
| } |
| |
| GraphEdsrExample(const GraphEdsrExample &) = delete; |
| GraphEdsrExample &operator=(const GraphEdsrExample &) = delete; |
| ~GraphEdsrExample() override = default; |
| |
| bool do_setup(int argc, char **argv) override |
| { |
| // Parse arguments |
| cmd_parser.parse(argc, argv); |
| cmd_parser.validate(); |
| |
| // Consume common parameters |
| common_params = consume_common_graph_parameters(common_opts); |
| |
| // Return when help menu is requested |
| if(common_params.help) |
| { |
| cmd_parser.print_help(argv[0]); |
| return false; |
| } |
| |
| ARM_COMPUTE_EXIT_ON_MSG(common_params.data_type != DataType::QASYMM8, "Only QASYMM8 is supported for this graph example"); |
| |
| // Print parameter values |
| std::cout << common_params << std::endl; |
| |
| model.setup(common_params, *expected_output_filename); |
| |
| GraphConfig config; |
| config.num_threads = common_params.threads; |
| config.use_tuner = common_params.enable_tuner; |
| config.tuner_mode = common_params.tuner_mode; |
| config.tuner_file = common_params.tuner_file; |
| config.mlgo_file = common_params.mlgo_file; |
| |
| context.set_config(config); |
| |
| auto pass_manager = create_default_pass_manager(common_params.target, config); |
| manager.finalize_graph(model.graph(), context, pass_manager, common_params.target); |
| |
| return true; |
| } |
| |
| void do_run() override |
| { |
| manager.execute_graph(model.graph()); |
| } |
| |
| private: |
| CommandLineParser cmd_parser; |
| CommonGraphOptions common_opts; |
| CommonGraphParams common_params; |
| |
| GraphContext context{}; |
| GraphManager manager{}; |
| |
| SimpleOption<std::string> *expected_output_filename{ nullptr }; |
| |
| GraphEdsr model{}; |
| }; |
| |
| /** Internal implementation of UINT8 EDSR with some modifications from the paper. |
| * The sub-pixel convolution has been replaced with a deconvolution layer. This |
| * operation is mathematically the same. |
| * |
| * Convolution replaced by deconvolution: |
| * https://arxiv.org/abs/1609.07009 |
| * "Is the deconvolution layer the same as a convolutional layer?" |
| * Wenzhe Shi, Jose Caballero, Lucas Theis, Ferenc Huszar, Andrew Aitken, Christian Ledig, Zehan Wang |
| * |
| * Original model is: |
| * https://arxiv.org/abs/1707.02921 |
| * "Enhanced Deep Residual Networks for Single Image Super-Resolution" |
| * Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee |
| * |
| * @note To list all the possible arguments execute the binary appended with the --help option |
| * |
| * @param[in] argc Number of arguments |
| * @param[in] argv Arguments |
| * |
| * @return Return code |
| */ |
| int main(int argc, char **argv) |
| { |
| return run_example<GraphEdsrExample>(argc, argv); |
| } |