titaniumtown/physarum
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(bad) opencl/cuda implementation (slower than cpu atm)

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Simon Gardling
2021-03-26 19:36:24 +00:00
parent 7965d55de9
commit a479181882
5 changed files with 252 additions and 36 deletions
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151
src/model.rs
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@@ -4,20 +4,15 @@ use crate::{
imgdata::ImgData,
};
use rand::{seq::SliceRandom, Rng};
use rand_distr::{Distribution, Normal};
use rayon::prelude::*;
use itertools::multizip;
use std::f32::consts::TAU;
use std::time::{Duration, Instant};
use rayon::iter::{ParallelIterator, IntoParallelIterator};
use indicatif::{ParallelProgressIterator, ProgressBar, ProgressStyle};
use arrayfire as af;
use std::path::Path;
/// A single Physarum agent. The x and y positions are continuous, hence we use floating point
@@ -28,17 +23,19 @@ struct Agent {
y: f32,
angle: f32,
population_id: usize,
i: usize,
}
impl Agent {
/// Construct a new agent with random parameters.
fn new<R: Rng + ?Sized>(width: usize, height: usize, id: usize, rng: &mut R) -> Self {
fn new<R: Rng + ?Sized>(width: usize, height: usize, id: usize, rng: &mut R, i: usize) -> Self {
let (x, y, angle) = rng.gen::<(f32, f32, f32)>();
Agent {
x: x * width as f32,
y: y * height as f32,
angle: angle * TAU,
population_id: id,
i: i,
}
}
@@ -59,6 +56,25 @@ impl Agent {
}
}
impl Clone for Agent {
fn clone(&self) -> Agent {
return Agent {
x: self.x,
y: self.y,
angle: self.angle,
population_id: self.population_id,
i: self.i,
}
}
}
impl PartialEq for Agent {
fn eq(&self, other: &Self) -> bool {
return self.x == other.x && self.y == other.y && self.angle == other.angle && self.population_id == other.population_id && self.i == other.i;
}
}
/// Top-level simulation class.
pub struct Model {
// Physarum agents.
@@ -127,7 +143,7 @@ impl Model {
Model {
agents: (0..n_particles)
.map(|i| Agent::new(width, height, i / particles_per_grid, &mut rng))
.map(|i| Agent::new(width, height, i / particles_per_grid, &mut rng, i))
.collect(),
grids: (0..n_populations)
.map(|_| Grid::new(width, height, &mut rng))
@@ -160,7 +176,7 @@ impl Model {
combine(grids, &self.attraction_table);
// println!("Starting tick for all agents...");
let agents_tick_time = Instant::now();
// let agents_tick_time = Instant::now();
self.agents.par_iter_mut().for_each(|agent| {
let grid = &grids[agent.population_id];
let PopulationConfig {
@@ -215,6 +231,123 @@ 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);
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 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 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_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 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;
}
fn to_vec<T:af::HasAfEnum+Default+Clone>(array: &af::Array<T>) -> Vec<T> {
let mut vec = vec!(T::default();array.elements());
array.host(&mut vec);
return vec;
}
fn save_image_data(&mut self) {
let grids = self.grids.clone();