Mercurial > hg > smallbox
changeset 86:f6cc633fd94b
cpu/tic-toc time comments
author | Maria Jafari <maria.jafari@eecs.qmul.ac.uk> |
---|---|
date | Mon, 11 Apr 2011 16:44:31 +0100 |
parents | fd1c32cda22c |
children | c54e7f2b39d5 e829f7ef8418 6fa65aec8742 013a5819996b edf4ff7b6790 |
files | examples/Image Denoising/SMALL_ImgDenoise_DL_test_KSVDvsRLSDLA.m util/SMALL_learn.m util/SMALL_solve.m |
diffstat | 3 files changed, 5 insertions(+), 5 deletions(-) [+] |
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--- a/examples/Image Denoising/SMALL_ImgDenoise_DL_test_KSVDvsRLSDLA.m Tue Apr 05 17:03:26 2011 +0100 +++ b/examples/Image Denoising/SMALL_ImgDenoise_DL_test_KSVDvsRLSDLA.m Mon Apr 11 16:44:31 2011 +0100 @@ -206,7 +206,7 @@ 'dictsize', SMALL.Problem.p,... 'forgettingMode', 'FIX',... 'forgettingFactor', lambda,... - 'show_dict', 500); + 'show_dict', 1000); SMALL.DL(3) = SMALL_learn(SMALL.Problem, SMALL.DL(3));
--- a/util/SMALL_learn.m Tue Apr 05 17:03:26 2011 +0100 +++ b/util/SMALL_learn.m Mon Apr 11 16:44:31 2011 +0100 @@ -95,8 +95,8 @@ % Dictionary Learning time tElapsed=toc(tStart); DL.time = cputime - start; - fprintf('\n%s finished task in %2f seconds. \n', DL.name, DL.time); - fprintf('\n%s finished task in %2f seconds. \n', DL.name, tElapsed); + fprintf('\n%s finished task in %2f seconds (cpu time). \n', DL.name, DL.time); + fprintf('\n%s finished task in %2f seconds (tic-toc time). \n', DL.name, tElapsed); DL.time=tElapsed; % If dictionary is given as a sparse matrix change it to full
--- a/util/SMALL_solve.m Tue Apr 05 17:03:26 2011 +0100 +++ b/util/SMALL_solve.m Mon Apr 11 16:44:31 2011 +0100 @@ -93,8 +93,8 @@ % Sparse representation time tElapsed=toc(tStart); solver.time = cputime - start; -fprintf('Solver %s finished task in %2f seconds. \n', solver.name, solver.time); -fprintf('Solver %s finished task in %2f seconds. \n', solver.name, tElapsed); +fprintf('Solver %s finished task in %2f seconds (cpu time). \n', solver.name, solver.time); +fprintf('Solver %s finished task in %2f seconds (tic-toc time). \n', solver.name, tElapsed); solver.time=tElapsed; % geting around out of memory problem when converting big matrix from % sparse to full...