Python cuda_match Examples

Example #1

File: distances.py Project: gravitino/gem

def gpugem(query, subject, St0=2, St1=2, E=0.01, symmetric=False, squared=True):
    """GEM local similarity measure"""

    N = lgemc.TimeSeries(query)
    H = lgemc.TimeSeries(subject)
    R = lgemc.Result()

    lgemc.cuda_match(N, H, R, St0, St1, E, squared)
    dist = R[0].penalty

    if (symmetric):
        R = lgemc.Result()
        lgemc.cuda_match(H, N, R, St0, St1, E, squared)
        dist = min(dist, R[0].penalty)
    
    return dist

Example #2

def gpugem(query,
           subject,
           St0=2,
           St1=2,
           E=0.01,
           symmetric=False,
           squared=True):
    """GEM local similarity measure"""

    N = lgemc.TimeSeries(query)
    H = lgemc.TimeSeries(subject)
    R = lgemc.Result()

    lgemc.cuda_match(N, H, R, St0, St1, E, squared)
    dist = R[0].penalty

    if (symmetric):
        R = lgemc.Result()
        lgemc.cuda_match(H, N, R, St0, St1, E, squared)
        dist = min(dist, R[0].penalty)

    return dist

Example #3

    return (series - np.mean(series)) / np.std(series)


# generate query and subject
S = znormalize(get_signal(1001000))
N = gem.TimeSeries(S[:1000])
H = gem.TimeSeries(S[1000:])

print len(N), len(H)

# matching parameters
St0, St1, E = 2, 2, 0.01

R = gem.Result()
t = time.time()
gemc.cuda_match(N, H, R, St0, St1, E, True)
print "time needed:", time.time(
) - t, "best match:", R[0].penalty, R[0].left, R[0].right

R = gem.Result()
t = time.time()
gem.match(N, H, R, St0, St1, E, True, True)
print "time needed:", time.time(
) - t, "best match:", R[0].penalty, R[0].left, R[0].right

pl.plot(np.array(N) + 1)
pl.plot(H, c="lightgrey")

for item in R[:10]:
    L = gem.TimeSeries()
    X = gem.TimeCoords()

Example #4

File: example.py Project: gravitino/gem

    return (series-np.mean(series))/np.std(series)

# generate query and subject
S = znormalize(get_signal(1001000))
N = gem.TimeSeries(S[:1000])
H = gem.TimeSeries(S[1000:])

print len(N), len(H)

# matching parameters
St0, St1, E = 2, 2, 0.01

R = gem.Result()
t=time.time()
gemc.cuda_match(N, H, R, St0, St1, E, True)
print "time needed:", time.time()-t, "best match:", R[0].penalty, R[0].left, R[0].right

R = gem.Result()
t=time.time()
gem.match(N, H, R, St0, St1, E, True, True)
print "time needed:", time.time()-t, "best match:", R[0].penalty, R[0].left, R[0].right

pl.plot(np.array(N) + 1)
pl.plot(H, c = "lightgrey")

for item in R[:10]:
    L = gem.TimeSeries()
    X = gem.TimeCoords()
    Y = gem.TimeSeries()