def plot_and_save_statistics(solvers, args):
"""Plot some desired statistics."""
dname = args.dataset if not args.use_gray else args.dataset + '.gray'
for k, v in solvers.items():
# save statistics
stats_arr = su.ntpl2array(v.getitstat())
np.save(os.path.join(args.output_path, k, f'{dname}.stats.npy'),
stats_arr)
# we save time separately
time_stats = {'Time': v.getitstat().Time}
pickle.dump(
time_stats,
open(os.path.join(args.output_path, k, f'{dname}.time_stats.pkl'),
'wb'))
# save dictionaries visualization
plt.clf()
d = v.getdict().squeeze()
if d.ndim == 3: # grayscale image
plt.imshow(su.tiledict(d), cmap='gray')
else:
plt.imshow(su.tiledict(d))
plt.savefig(os.path.join(args.output_path, k, f'{dname}.pdf'),
bbox_inches='tight')
if 1:
plt.clf()
nsol = len(solvers)
for i, (k, v) in enumerate(solvers.items()):
plt.subplot(1, nsol, i + 1)
d = v.getdict().squeeze()
if d.ndim == 3: # grayscale image
plt.imshow(su.tiledict(d), cmap='gray')
else:
plt.imshow(su.tiledict(d))
plt.title(k)
plt.show()
def snapshot_solver_stats(solver, path):
"""Save solver's running time statistics (and others) to path."""
if _cfg.SNAPSHOT:
stats_arr = su.ntpl2array(solver.getitstat())
np.save(os.path.join(path, 'stats.npy'), stats_arr)
time_stats = {'Time': solver.getitstat().Time}
with open(os.path.join(path, 'time_stats.pkl'), 'wb') as f:
pickle.dump(time_stats, f)
return time_stats
return None
def test_01(self):
nt = collections.namedtuple('NT', ('A', 'B', 'C'))
t0 = nt(0, 1, 2)
t0a = util.ntpl2array(t0)
t1 = util.array2ntpl(t0a)
assert t0 == t1
def test_01(self):
nt = collections.namedtuple('NT', ('A', 'B', 'C'))
t0 = nt(0, 1, 2)
t0a = util.ntpl2array(t0)
t1 = util.array2ntpl(t0a)
assert t0 == t1
