Expand description
the crate gcn_agg is a graph convolutional neural network accelerator simulator. there are 4 parts in the crate:
- accelerator: the accelerator is a graph convolutional neural network accelerator.
- graph: the data structure to represent the graph.
- node_features: the data structure to represent the node features.
- statics: the result statics to record the result.
Examples
use chrono::Local;
use gcn_agg::{
accelerator::System, gcn_result::GcnAggResult, graph::Graph, node_features::NodeFeatures,
settings::Settings,
};
use itertools::Itertools;
fn test_system() -> Result<(), Box<dyn std::error::Error>> {
std::fs::create_dir_all("output")?;
simple_logger::init_with_level(log::Level::Info).unwrap_or(());
let current_time: String = Local::now().format("%Y-%m-%d-%H-%M-%S%.6f").to_string();
let start_time = std::time::Instant::now();
let mut results = GcnAggResult::default();
let settings = Settings::new(vec!["configs/default.toml".into()]).unwrap();
results.settings = Some(settings.clone());
// create the folder for output
std::fs::create_dir_all("output")?;
let graph_name = &settings.graph_path;
let features_name = &settings.features_paths;
let graph = Graph::new(graph_name.as_str())?;
let node_features: Vec<_> = features_name
.iter()
.map(|x| NodeFeatures::new(x.as_str()))
.try_collect()?;
let mem_stat_path = format!("output/{}_mem_stat.txt", current_time);
let mut system = System::new(
&graph,
&node_features,
settings.accelerator_settings,
&mem_stat_path,
);
// run the system
let mut stat = system.run()?;
// record the simulation time
let simulation_time = start_time.elapsed().as_secs();
// record the result
let seconds = simulation_time % 60;
let minutes = (simulation_time / 60) % 60;
let hours = (simulation_time / 60) / 60;
let time_str = format!("{}:{}:{}", hours, minutes, seconds);
stat.simulation_time = time_str;
results.stats = Some(stat);
let output_path = format!("output/{}.json", current_time);
println!("{}", serde_json::to_string_pretty(&results)?);
// write json of results to output_path
std::fs::write(output_path, serde_json::to_string_pretty(&results)?)?;
Ok(())
}
match test_system() {
Ok(_) => println!("test_system success"),
Err(e) => println!("test_system failed: {}", e),
}
Re-exports
pub use gcn_result::GcnAggResult;
pub use gcn_result::GcnStatistics;
pub use graph::Graph;
pub use node_features::NodeFeatures;
pub use settings::Settings;
Modules
Description
mod gcn result
the settings of the gcn accelerator