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Typo.
[pysvrt.git]
/
cnn-svrt.py
diff --git
a/cnn-svrt.py
b/cnn-svrt.py
index
58035d2
..
63b11ee
100755
(executable)
--- a/
cnn-svrt.py
+++ b/
cnn-svrt.py
@@
-77,6
+77,10
@@
parser.add_argument('--test_loaded_models',
type = distutils.util.strtobool, default = 'False',
help = 'Should we compute the test errors of loaded models')
type = distutils.util.strtobool, default = 'False',
help = 'Should we compute the test errors of loaded models')
+parser.add_argument('--problems',
+ type = str, default = '1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23',
+ help = 'What problems to process')
+
args = parser.parse_args()
######################################################################
args = parser.parse_args()
######################################################################
@@
-247,6
+251,22
@@
def int_to_suffix(n):
else:
return str(n)
else:
return str(n)
+class vignette_logger():
+ def __init__(self, delay_min = 60):
+ self.start_t = time.time()
+ self.last_t = self.start_t
+ self.delay_min = delay_min
+
+ def __call__(self, n, m):
+ t = time.time()
+ if t > self.last_t + self.delay_min:
+ dt = (t - self.start_t) / m
+ log_string('sample_generation {:d} / {:d}'.format(
+ m,
+ n), ' [ETA ' + time.ctime(time.time() + dt * (n - m)) + ']'
+ )
+ self.last_t = t
+
######################################################################
if args.nb_train_samples%args.batch_size > 0 or args.nb_test_samples%args.batch_size > 0:
######################################################################
if args.nb_train_samples%args.batch_size > 0 or args.nb_test_samples%args.batch_size > 0:
@@
-260,7
+280,7
@@
else:
log_string('using_uncompressed_vignettes')
VignetteSet = svrtset.VignetteSet
log_string('using_uncompressed_vignettes')
VignetteSet = svrtset.VignetteSet
-for problem_number in
range(1, 24
):
+for problem_number in
map(int, args.problems.split(',')
):
log_string('############### problem ' + str(problem_number) + ' ###############')
log_string('############### problem ' + str(problem_number) + ' ###############')
@@
-300,7
+320,8
@@
for problem_number in range(1, 24):
train_set = VignetteSet(problem_number,
args.nb_train_samples, args.batch_size,
train_set = VignetteSet(problem_number,
args.nb_train_samples, args.batch_size,
- cuda = torch.cuda.is_available())
+ cuda = torch.cuda.is_available(),
+ logger = vignette_logger())
log_string('data_generation {:0.2f} samples / s'.format(
train_set.nb_samples / (time.time() - t))
log_string('data_generation {:0.2f} samples / s'.format(
train_set.nb_samples / (time.time() - t))