Python fvec_new_rand Examples

Example #1

#!/usr/bin/env python
from yael import yael
import time

n = 20000  # number of vectors
nq = 1000
d = 128  # dimensionality of the vectors
nt = 2  # number of threads to use
k = 1  # number of nn returned

v = yael.fvec_new_rand(d * n)  # random set of vectors
q = yael.fvec_new_rand(d * nq)

idx = yael.ivec_new(nq * k)
dis = yael.fvec_new(nq * k)

t1 = time.time()
yael.knn_thread(nq, n, d, k, v, q, idx, nt)
t2 = time.time()

idx = yael.IntArray.acquirepointer(idx)

print([idx[i] for i in xrange(nq * k)])

print('kmeans performed in %.3fs' % (t2 - t1))

Example #2

File: test_mmul.py Project: wyx0722/BoW_frameworks

from yael import yael

m = 3
n = 4
k = 5

a = yael.FloatArray.acquirepointer(yael.fvec_new_rand(m * k))
b = yael.FloatArray.acquirepointer(yael.fvec_new_rand(k * n))

for transp in ['NN', 'NT', 'TN', 'TT']:

    print "=====================", transp

    print "a=",
    if transp[0] == 'N': yael.fmat_print(a, m, k)
    else: yael.fmat_print_tranposed(a, m, k)

    print "b=",
    if transp[1] == 'N': yael.fmat_print(b, k, n)
    else: yael.fmat_print_tranposed(b, k, n)

    res = yael.FloatArray.acquirepointer(
        yael.fmat_new_mul_full(a, b, m, n, k, transp))

    print "a*b=",
    yael.fmat_print(res, m, n)

Example #3

File: test_nn.py Project: Erotemic/yael

from yael import yael
import time

n = 20000                         # number of vectors
nq = 1000 
d = 128                           # dimensionality of the vectors
nt = 2                            # number of threads to use
k = 1                             # number of nn returned

v = yael.fvec_new_rand (d * n)    # random set of vectors 
q = yael.fvec_new_rand (d * nq)

idx = yael.ivec_new (nq * k)
dis = yael.fvec_new (nq * k)


t1 = time.time()
yael.knn_thread (nq, n, d, k, v, q, idx, nt)
t2 = time.time()

idx = yael.IntArray.acquirepointer (idx)

print [idx[i] for i in xrange (nq * k)]

print 'kmeans performed in %.3fs' % (t2 - t1)

Example #4

File: test_kmeans_alt_dist.py Project: wyx0722/BoW_frameworks

import time

from yael import yael

yael.common_srandom(12345)

d = 16
n = 1024
k = 4

pts = yael.fvec_new_rand(d * n)

pts = yael.fvec.acquirepointer(pts)

cents = yael.fvec(d * k)

nt = 1
assign = yael.ivec(n)


def d_chi2(a, b):
    return (a - b)**2 / (a + b)


print "clustering %d uniform %dD pts in %d centroids" % (n, d, k)

for name, flags in ("L2", 0), ("L1", yael.KMEANS_L1), ("Chi2",
                                                       yael.KMEANS_CHI2):
    print "%s clustering" % name

    t0 = time.time()

Example #5

File: test_kmeans_alt_dist.py Project: Erotemic/yael

import time

from yael import yael

yael.common_srandom(12345)

d=16
n=1024
k=4

pts = yael.fvec_new_rand(d * n)

pts = yael.fvec.acquirepointer(pts)

cents = yael.fvec(d * k)

nt = 1
assign = yael.ivec(n)
  

def d_chi2(a, b):
  return (a - b) ** 2 / (a + b)

print "clustering %d uniform %dD pts in %d centroids" % (n, d, k) 

for name, flags in ("L2", 0), ("L1", yael.KMEANS_L1), ("Chi2", yael.KMEANS_CHI2):
  print "%s clustering" % name 

  t0 = time.time()
  

Example #6

File: test_mmul.py Project: Erotemic/yael

from yael import yael


m=3
n=4
k=5

a=yael.FloatArray.acquirepointer(yael.fvec_new_rand(m*k))
b=yael.FloatArray.acquirepointer(yael.fvec_new_rand(k*n))

for transp in ['NN','NT','TN','TT']: 

  print "=====================",transp

  print "a=",
  if transp[0]=='N': yael.fmat_print(a,m,k)
  else:              yael.fmat_print_tranposed(a,m,k)

  print "b=",
  if transp[1]=='N': yael.fmat_print(b,k,n)
  else:              yael.fmat_print_tranposed(b,k,n)

  res=yael.FloatArray.acquirepointer(yael.fmat_new_mul_full(a,b,m,n,k,transp))

  print "a*b=",
  yael.fmat_print(res,m,n)