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This commit is contained in:
Simon Gardling 2021-03-27 02:43:27 +00:00
parent a17b81c354
commit 06b9c0aef6
2 changed files with 127 additions and 106 deletions
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36
src/main.rs
View File

@ -5,7 +5,7 @@ use rand::Rng;
use arrayfire as af;
fn main() {
let gpu_compute: bool = false;
let gpu_compute: bool = true;
if gpu_compute {
backend_man();
// af::set_backend(af::Backend::CPU);
@ -14,7 +14,7 @@ fn main() {
}
// let n_iterations = 16384;
let n_iterations = 1000;
let n_iterations = 2048;
// let n_iterations = 10;
// let (width, height) = (512, 512);
@ -23,38 +23,38 @@ fn main() {
// let n_particles = 1 << 22;
let n_particles = 1 << 24;
// let n_particles = 1 << 10;
// let n_particles = 100;
println!("n_particles: {}", n_particles);
let diffusivity = 1;
let mut rng = rand::thread_rng();
let pb = ProgressBar::new(n_iterations);
pb.set_style(
ProgressStyle::default_bar()
.template(
"{spinner:.green} [{elapsed_precise}] [{bar:40.cyan/blue}] {pos}/{len} ({eta} {percent}%, {per_sec})",
)
.progress_chars("#>-"),
);
// let n_populations = 1 + rng.gen_range(1..4);
let n_populations = 10;
let n_populations = 1;
let mut model = model::Model::new(width, height, n_particles, n_populations, diffusivity);
model.print_configurations();
if gpu_compute {
let dims = af::Dim4::new(&[n_particles as u64, 1, 1, 1]);
for i in 0..n_iterations {
model.step_cl(dims);
pb.set_position(i);
}
model.step_cl(n_iterations);
} else {
let pb = ProgressBar::new(n_iterations as u64);
pb.set_style(
ProgressStyle::default_bar()
.template(
"{spinner:.green} [{elapsed_precise}] [{bar:40.cyan/blue}] {pos}/{len} ({eta} {percent}%, {per_sec})",
)
.progress_chars("#>-"),
);
for i in 0..n_iterations {
model.step();
pb.set_position(i);
pb.set_position(i as u64);
}
pb.finish();
}
pb.finish();
println!("Rendering all saved image data....");
model.render_all_imgdata();

197
src/model.rs
View File

@ -231,116 +231,137 @@ impl Model {
self.iteration += 1;
}
pub fn step_cl(&mut self, dims: af::Dim4) {
// Combine grids
let grids = &mut self.grids;
combine(grids, &self.attraction_table);
pub fn step_cl(&mut self, steps: usize) {
let pb = ProgressBar::new(steps as u64);
pb.set_style(
ProgressStyle::default_bar()
.template(
"{spinner:.green} [{elapsed_precise}] [{bar:40.cyan/blue}] {pos}/{len} ({eta} {percent}%, {per_sec})",
)
.progress_chars("#>-"),
);
println!("Starting tick for all agents...");
let agents_tick_time = Instant::now();
let agents_list = &*self.agents.clone();
let agent_num: usize = self.agents.len() as usize;
// let dims = af::Dim4::new(&[self.agents.len() as u64, 1, 1, 1]);
let dims = af::Dim4::new(&[self.agents.len() as u64, 1, 1, 1]);
let agent_angles_list: Vec<f32> = agents_list.iter().map(|agent| agent.angle).collect();
let agent_x_list: Vec<f32> = agents_list.iter().map(|agent| agent.x).collect();
let agent_y_list: Vec<f32> = agents_list.iter().map(|agent| agent.y).collect();
let mut sensor_distance_list: Vec<f32> = Vec::new();
let mut sensor_angle_list: Vec<f32> = Vec::new();
let mut rotation_angle_list: Vec<f32> = Vec::new();
let mut step_distance_list: Vec<f32> = Vec::new();
for agent in &*self.agents.clone() {
let grid = &grids[agent.population_id];
let PopulationConfig {
sensor_distance,
sensor_angle,
rotation_angle,
step_distance,
..
} = grid.config;
sensor_distance_list.push(sensor_distance);
sensor_angle_list.push(sensor_angle);
rotation_angle_list.push(rotation_angle);
step_distance_list.push(step_distance);
}
let sensor_distance = af::Array::new(&sensor_distance_list, dims);
let sensor_angle = af::Array::new(&sensor_angle_list, dims);
let mut agent_angles_list: Vec<f32> = Vec::new();
let mut agent_x_list: Vec<f32> = Vec::new();
let mut agent_y_list: Vec<f32> = Vec::new();
let agent_angles = af::Array::new(&agent_angles_list, dims);
let agent_x = af::Array::new(&agent_x_list, dims);
let agent_y = af::Array::new(&agent_y_list, dims);
for i in 0..steps {
println!("Starting tick for all agents...");
let agents_tick_time = Instant::now();
// Combine grids
let grids = &mut self.grids;
combine(grids, &self.attraction_table);
agent_angles_list = agents_list.iter().map(|agent| agent.angle).collect();
agent_x_list = agents_list.iter().map(|agent| agent.x).collect();
agent_y_list = agents_list.iter().map(|agent| agent.y).collect();
for agent in &*self.agents.clone() {
let grid = &grids.clone()[agent.population_id];
let PopulationConfig {
sensor_distance,
sensor_angle,
rotation_angle,
step_distance,
..
} = grid.config;
sensor_distance_list.push(sensor_distance);
sensor_angle_list.push(sensor_angle);
rotation_angle_list.push(rotation_angle);
step_distance_list.push(step_distance);
}
let sensor_distance = af::Array::new(&sensor_distance_list, dims);
let sensor_angle = af::Array::new(&sensor_angle_list, dims);
let agent_angles = af::Array::new(&agent_angles_list, dims);
let agent_x = af::Array::new(&agent_x_list, dims);
let agent_y = af::Array::new(&agent_y_list, dims);
let cos_angles = af::cos(&agent_angles);
let sin_angles = af::sin(&agent_angles);
let cos_angles = af::cos(&agent_angles);
let sin_angles = af::sin(&agent_angles);
let cos_angle_dis = af::mul(&cos_angles, &sensor_distance, false);
let sin_angle_dis = af::mul(&sin_angles, &sensor_distance, false);
let cos_angle_dis = af::mul(&cos_angles, &sensor_distance, false);
let sin_angle_dis = af::mul(&sin_angles, &sensor_distance, false);
let xc = Self::to_vec(&af::add(&agent_x, &cos_angle_dis, false));
let yc = Self::to_vec(&af::add(&agent_y, &sin_angle_dis, false));
let agent_add_sens = &agent_angles + &sensor_angle;
let agent_sub_sens = &agent_angles - &sensor_angle;
let agent_add_sens_mul = af::mul(&agent_add_sens, &sensor_distance, false);
let agent_sub_sens_mul = af::mul(&agent_sub_sens, &sensor_distance, false);
let xl = Self::to_vec(&af::add(&agent_x, &af::sin(&agent_sub_sens_mul), false));
let yl = Self::to_vec(&af::add(&agent_y, &af::sin(&agent_sub_sens_mul), false));
let xr = Self::to_vec(&af::add(&agent_x, &af::sin(&agent_add_sens_mul), false));
let yr = Self::to_vec(&af::add(&agent_y, &af::sin(&agent_add_sens_mul), false));
self.agents.par_iter_mut().for_each(|agent| {
let i: usize = agent.i;
let rotation_angle = rotation_angle_list[i];
let step_distance = rotation_angle_list[i];
let xc = xc[i];
let xl = xl[i];
let xr = xr[i];
let yc = yc[i];
let yl = yl[i];
let yr = yr[i];
let grid = &grids[agent.population_id];
let (width, height) = (grid.width, grid.height);
let xc = Self::to_vec(&af::add(&agent_x, &cos_angle_dis, false));
let yc = Self::to_vec(&af::add(&agent_y, &sin_angle_dis, false));
let trail_c = grid.get_buf(xc, yc);
let trail_l = grid.get_buf(xl, yl);
let trail_r = grid.get_buf(xr, yr);
let agent_add_sens = &agent_angles + &sensor_angle;
let agent_sub_sens = &agent_angles - &sensor_angle;
let mut rng = rand::thread_rng();
let direction = Model::pick_direction(trail_c, trail_l, trail_r, &mut rng);
agent.rotate_and_move(direction, rotation_angle, step_distance, width, height);
});
let agent_add_sens_mul = af::mul(&agent_add_sens, &sensor_distance, false);
let agent_sub_sens_mul = af::mul(&agent_sub_sens, &sensor_distance, false);
// /*
let agents_tick_elapsed = agents_tick_time.elapsed().as_millis();
let ms_per_agent: f64 = (agents_tick_elapsed as f64) / (self.agents.len() as f64);
println!("Finished tick for all agents. took {}ms\nTime peragent: {}ms", agents_tick_time.elapsed().as_millis(), ms_per_agent);
// */
let xl = Self::to_vec(&af::add(&agent_x, &af::sin(&agent_sub_sens_mul), false));
let yl = Self::to_vec(&af::add(&agent_y, &af::sin(&agent_sub_sens_mul), false));
let xr = Self::to_vec(&af::add(&agent_x, &af::sin(&agent_add_sens_mul), false));
let yr = Self::to_vec(&af::add(&agent_y, &af::sin(&agent_add_sens_mul), false));
// Deposit
for agent in self.agents.iter() {
self.grids[agent.population_id].deposit(agent.x, agent.y);
self.agents.par_iter_mut().for_each(|agent| {
let i: usize = agent.i;
let rotation_angle = rotation_angle_list[i];
let step_distance = rotation_angle_list[i];
let xc = xc[i];
let xl = xl[i];
let xr = xr[i];
let yc = yc[i];
let yl = yl[i];
let yr = yr[i];
let grid = &grids[agent.population_id];
let (width, height) = (grid.width, grid.height);
let trail_c = grid.get_buf(xc, yc);
let trail_l = grid.get_buf(xl, yl);
let trail_r = grid.get_buf(xr, yr);
let mut rng = rand::thread_rng();
let direction = Model::pick_direction(trail_c, trail_l, trail_r, &mut rng);
agent.rotate_and_move(direction, rotation_angle, step_distance, width, height);
});
// /*
let agents_tick_elapsed = agents_tick_time.elapsed().as_millis();
let ms_per_agent: f64 = (agents_tick_elapsed as f64) / (self.agents.len() as f64);
println!("Finished tick for all agents. took {}ms\nTime peragent: {}ms", agents_tick_time.elapsed().as_millis(), ms_per_agent);
// */
// Deposit
for agent in self.agents.iter() {
self.grids[agent.population_id].deposit(agent.x, agent.y);
}
// Diffuse + Decay
let diffusivity = self.diffusivity;
self.grids.par_iter_mut().for_each(|grid| {
grid.diffuse(diffusivity);
});
self.save_image_data();
self.iteration += 1;
pb.set_position(i as u64);
}
// Diffuse + Decay
let diffusivity = self.diffusivity;
self.grids.par_iter_mut().for_each(|grid| {
grid.diffuse(diffusivity);
});
self.save_image_data();
self.iteration += 1;
pb.finish();
}
fn to_vec<T:af::HasAfEnum+Default+Clone>(array: &af::Array<T>) -> Vec<T> {