test script for numpy BLAS linkage

test_numpy_blas_1.py

import numpy
from numpy.distutils.system_info import get_info
import sys
import timeit

print("version: %s" % numpy.__version__)
print("maxint:  %i\n" % sys.maxsize)

info = get_info('blas_opt')
print('BLAS info:')
for kk, vv in info.items():
    print(' * ' + kk + ' ' + str(vv))

setup = "import numpy; x = numpy.random.random((1000, 1000))"
count = 10

t = timeit.Timer("numpy.dot(x, x.T)", setup=setup)
print("\ndot: %f sec" % (t.timeit(count) / count))

test_numpy_blas_2.py

import numpy as np
import numpy.random as npr
import time

# --- Test 1
N = 1
n = 1000

A = npr.randn(n, n)
B = npr.randn(n, n)

t = time.time()
for i in range(N):
    C = np.dot(A, B)
td = time.time() - t
print("dotted two (%d,%d) matrices in %0.1f ms" % (n, n, 1e3*td/N))

# --- Test 2
N = 100
n = 4000

A = npr.randn(n)
B = npr.randn(n)

t = time.time()
for i in range(N):
    C = np.dot(A, B)
td = time.time() - t
print("dotted two (%d) vectors in %0.2f us" % (n, 1e6*td/N))

# --- Test 3
m,n = (2000,1000)

A = npr.randn(m,n)

t = time.time()
[U,s,V] = np.linalg.svd(A, full_matrices=False)
td = time.time() - t
print("SVD of (%d,%d) matrix in %0.3f s" % (m,n,td))

# --- Test 4
n = 1500
A = npr.randn(n,n)

t = time.time()
w, v = np.linalg.eig(A)
td = time.time() - t
print("Eigendecomp of (%d,%d) matrix in %0.3f s" % (n,n,td))