Created
August 29, 2017 07:33
-
-
Save benoitrosa/5087120222c38a6646dfc8e04cad5d1d to your computer and use it in GitHub Desktop.
Revisions
-
benoitrosa created this gist
Aug 29, 2017 .There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,49 @@ import numpy as np import timeit def norm(A): if A.ndim == 1: return np.sqrt(np.inner(A,A)) return np.linalg.norm(A) def time_norms(A, n_eval): start_time = timeit.default_timer() for i in range(n_eval): norm(A) end_time = timeit.default_timer() time_norm_ms = (end_time-start_time)*1.0/n_eval*10**3 start_time = timeit.default_timer() for i in range(n_eval): np.linalg.norm(A) end_time = timeit.default_timer() time_linalg_ms = (end_time-start_time)*1.0/n_eval*10**3 print "time(Norm)/time(np.linalg.norm) = ", time_norm_ms/time_linalg_ms if __name__ == '__main__': n_eval = 100 m = 35 for n in range(10,50,5): print "n = ", n A = np.random.rand(n) print "1D array" time_norms(A,n_eval) A = np.random.rand(n,m) print "2D array" time_norms(A,n_eval) A = np.random.rand(n,m,n) print "3D array" time_norms(A,n_eval) print ""