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LiveDataDemoBigJobs.py
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LiveDataDemoBigJobs.py
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import numpy as np
import networkx
from zephyr.Problem import SeisFDFDProblem
# Plotting configuration
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import matplotlib.ticker as ticker
import matplotlib
matplotlib.rcParams.update({'font.size': 20})
# System / modelling configuration
cellSize = 1 # m
freqs = [2e2] # Hz
density = 2700 # units of density
Q = np.inf # can be inf
nx = 164 # count
nz = 264 # count
freeSurf = [False, False, False, False] # t r b l
dims = (nx,nz) # tuple
nPML = 32
rho = np.fliplr(np.ones(dims) * density)
nfreq = len(freqs) # number of frequencies
nky = 48 # number of y-directional plane-wave components
nsp = nfreq * nky # total number of 2D subproblems
velocity = 2500 # m/s
vanom = 500 # m/s
cPert = np.zeros(dims)
cPert[(nx/2)-20:(nx/2)+20,(nz/2)-20:(nz/2)+20] = vanom
c = np.fliplr(np.ones(dims) * velocity)
cFlat = c
c += np.fliplr(cPert)
cTrue = c
srcs = np.array([np.ones(101)*32, np.zeros(101), np.linspace(32, 232, 101)]).T
recs = np.array([np.ones(101)*132, np.zeros(101), np.linspace(32, 232, 101)]).T
nsrc = len(srcs)
nrec = len(recs)
recmode = 'fixed'
geom = {
'src': srcs,
'rec': recs,
'mode': 'fixed',
}
cache = False
cacheDir = '.'
# Base configuration for all subproblems
systemConfig = {
'dx': cellSize, # m
'dz': cellSize, # m
'c': c.T, # m/s
'rho': rho.T, # density
'Q': Q, # can be inf
'nx': nx, # count
'nz': nz, # count
'freeSurf': freeSurf, # t r b l
'nPML': nPML,
'geom': geom,
'cache': cache,
'cacheDir': cacheDir,
'freqs': freqs,
'nky': nky,
}
sp = SeisFDFDProblem(systemConfig)
jobs = sp.forwardAccumulate()
def trackprogress(sp, jobs, interval=1.0):
systemJobs = jobs['systemJobs']
jobkeys = systemJobs.keys()
jobkeys.sort()
fig = plt.figure()
ax1 = fig.add_axes([0.1,0.10,0.15,0.85], xlabel='Subproblem', ylabel='Source')
ax1.get_xaxis().set_major_locator(ticker.MaxNLocator(integer=True))
ax2 = fig.add_axes([0.25,0.10,0.75,0.85], xlabel='Receiver')
im1 = ax2.imshow(np.zeros((nsrc, nrec)), vmin=-50*nky, vmax=50*nky, cmap=cm.bwr)
im2 = ax1.imshow(np.zeros((nsrc, nsp)), vmin=0, vmax=2, interpolation='nearest', aspect='auto')
plt.show()
def update():
#try:
# res = reduce(np.add, sp.par['dview']['resultTracker'])
#except:
# res = {}
#keys = [(freqs[0], i) for i in range(nrec)]
#resarr = np.array([res[key] if key in res.keys() else np.zeros(nrec) for key in keys])
status = np.zeros((len(jobkeys),nsrc))
for i, key in enumerate(jobkeys):
status[i,:] = 1. * systemJobs[key][0].ready()#np.array([systemJobs[key][j].ready() for j in xrange(1)])
if systemJobs[key][0].ready():#for j in np.argwhere(status[i,:]):
status[i,:] += not systemJobs[key][0].successful()
#im1.set_data(resarr.real)
im2.set_data(status.T)
fig.canvas.draw()
fig.canvas.flush_events()
while True:
try:
plt.pause(interval)
update()
except KeyboardInterrupt:
print('Exiting loop...')
break
finally:
if not reduce(np.add, sp.par['dview']['resultTracker.interactcounter']) < (nsp * nsrc):
break
trackprogress(sp, jobs)