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main_optimized.py
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import numpy as np
import pyopencl as cl
import pyopencl.array as cl_array
import pyopencl.clrandom as cl_random
import pyopencl.clmath as cl_math
from boilerplate import *
import matplotlib.pyplot as plot
# ======== GLOBAL PARAMS =========
N_PARTICLES = 1000
LODs = int(np.ceil(np.log(N_PARTICLES)/np.log(4)))
PRECISION = 0.0001
MULTIPOLE_TERMS = int(np.ceil(-np.log2(PRECISION)))
TIME_STEP = 0.00001 # yr
CLAMP_VEL = 120.
PRESSURE_SCALE = 0.0001
IMG_X = IMG_Y = 2000
G = 1. # kpc^3 yr^-2 M_sun^-1
m = 1. # solar mass
box_size = 3.
initial_v = 0 # kpc/yr
# ======== LOAD OPENCL ===============
ctx = cl.create_some_context()
queue = cl.CommandQueue(ctx)
mf = cl.mem_flags
rendered_code = load_cl('gravity_optimized.cl', namespace=globals())
prg = cl.Program(ctx, rendered_code).build()
# ============= INIT MEMORY ========================
meshes = [cl_array.zeros(queue, shape=(2**n,2**n,2**n,2**n), dtype=np.cdouble) for n in range(LODs)]
print('Made %s LODs' % LODs)
x_np = 0.5 * box_size * np.random.random_sample(N_PARTICLES) * np.exp(2.j*np.pi*np.random.random_sample(N_PARTICLES))
x = cl_array.to_device(queue, x_np)
print(x_np)
mesh = meshes[-1]
prg.calculate_multipoles(queue, mesh.shape[:2], None, np.int32(mesh.shape[0]), mesh.data, x.data).wait()
#print(np.real(meshes[-1].get())[0][0])
plot.imshow(np.real(meshes[-1].get()[7][7]), interpolation='none')
ml = mesh.shape[0]
plot.scatter((np.real(x_np)+0.5*box_size)/box_size*ml-0.5, (np.imag(x_np)+0.5*box_size)/box_size*ml-0.5, s=2, color='red')
plot.show()
exit()
xy = cl_array.empty(queue, shape=N_PARTICLES, dtype=np.double)
a = cl_array.empty(queue, shape=N_PARTICLES, dtype=np.double)
cl_random.fill_rand(xx, queue, a=0, b=box_size)
cl_random.fill_rand(xy, queue, a=0, b=box_size)
if initial_v:
vrand = cl_array.empty(queue, shape=N_PARTICLES, dtype=np.double)
cl_random.fill_rand(vrand, queue, a=0, b=initial_v)
vtheta = cl_math.atan2((xy - box_size / 2) ,( xx - box_size / 2), queue=queue)
vx = -vrand*(0.9*cl_math.sin(vtheta)+0.1*cl_math.cos(vtheta))
vy = vrand*(0.9*cl_math.cos(vtheta)+0.1*cl_math.sin(vtheta))
print(vtheta[0], vx[0], vy[0])
else:
vx = cl_array.empty(queue, shape=N_PARTICLES, dtype=np.double)
vy = cl_array.zeros(queue, shape=N_PARTICLES, dtype=np.double)
img_buffer_R = cl_array.zeros(queue, shape=(IMG_X, IMG_Y), dtype=np.uint8)
img_buffer_G = cl_array.zeros(queue, shape=(IMG_X, IMG_Y), dtype=np.uint8)
img_buffer_B = cl_array.zeros(queue, shape=(IMG_X, IMG_Y), dtype=np.uint8)
img_buffer_local_R = np.empty(shape=(IMG_X, IMG_Y), dtype=np.uint8)
img_buffer_local_G = np.empty(shape=(IMG_X, IMG_Y), dtype=np.uint8)
img_buffer_local_B = np.empty(shape=(IMG_X, IMG_Y), dtype=np.uint8)
#prg.to_image(queue, (N_PARTICLES,), None, x.data, img_buffer.data).wait()
# ============ DISPLAY ===============
#import matplotlib.pyplot as plot
#from PIL import Image
import pygame
from pygame.locals import *
pygame.display.init()
screen = pygame.display.set_mode((IMG_X, IMG_Y))
pygame.font.init()
FPS = 60
clock = pygame.time.Clock()
pygame.display.set_caption('Galaxy')
img_surf = pygame.surface.Surface((IMG_X, IMG_Y), depth=24)
SUBSTEPS = 1
std = 2
x, y = np.meshgrid(np.linspace(-3, 3, 7), np.linspace(-1, 1, 7))
gaussian_filter = np.exp(- (x/std)**2 - (y/std)**2)
#from scipy.ndimage import convolve
#import cv2
#video = cv2.VideoCapture(0)
#result = cv2.VideoWriter('video.mp4',
#cv2.VideoWriter_fourcc(*'mp4v'),
#30, (IMG_X, IMG_Y))
def main():
global a
while 1:
for event in pygame.event.get():
if event.type == QUIT:
pygame.quit()
return
img_buffer_R.fill(0)
img_buffer_G.fill(0)
img_buffer_B.fill(0)
for _ in range(SUBSTEPS):
prg.step_gravity(queue, (N_PARTICLES,), None, xx.data, xy.data, vx.data, vy.data, a.data).wait()
#print(xx[0], vx[0])
a /= cl_array.max(a)
prg.to_image(queue, (N_PARTICLES,), None, xx.data, xy.data,a.data, img_buffer_R.data, img_buffer_G.data, img_buffer_B.data).wait()
img_buffer_R.get(ary=img_buffer_local_R)
img_buffer_G.get(ary=img_buffer_local_G)
img_buffer_B.get(ary=img_buffer_local_B)
#print('hello')
#print(gaussian_filter.shape)
#print(img_buffer.shape)
#convolve(img_buffer_local_B, gaussian_filter, output=img_buffer_local_B, mode='constant')
#convolve(img_buffer_local_G, gaussian_filter, output=img_buffer_local_G, mode='constant')
#print(img_buffer_local.shape)
frame = np.transpose(np.stack([img_buffer_local_R,img_buffer_local_G,img_buffer_local_B]), (1,2,0))
#cv2.imshow('stuff', frame)
#result.write(frame)
pygame.surfarray.blit_array(img_surf, frame)
screen.blit(img_surf, (0,0))
pygame.display.update()
pygame.display.flip()
clock.tick(FPS)
print(clock.get_fps())
main()