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Fixed the parsing of Boolean arguments.
[pysvrt.git]
/
cnn-svrt.py
diff --git
a/cnn-svrt.py
b/cnn-svrt.py
index
153bdc9
..
0216b4e
100755
(executable)
--- a/
cnn-svrt.py
+++ b/
cnn-svrt.py
@@
-24,6
+24,7
@@
import time
import argparse
import math
import time
import argparse
import math
+import distutils.util
from colorama import Fore, Back, Style
from colorama import Fore, Back, Style
@@
-65,15
+66,15
@@
parser.add_argument('--log_file',
type = str, default = 'default.log')
parser.add_argument('--compress_vignettes',
type = str, default = 'default.log')
parser.add_argument('--compress_vignettes',
-
action='store_true', default = True
,
+
type = distutils.util.strtobool, default = 'True'
,
help = 'Use lossless compression to reduce the memory footprint')
parser.add_argument('--deep_model',
help = 'Use lossless compression to reduce the memory footprint')
parser.add_argument('--deep_model',
-
action='store_true', default = True
,
+
type = distutils.util.strtobool, default = 'True'
,
help = 'Use Afroze\'s Alexnet-like deep model')
parser.add_argument('--test_loaded_models',
help = 'Use Afroze\'s Alexnet-like deep model')
parser.add_argument('--test_loaded_models',
-
action='store_true', default = False
,
+
type = distutils.util.strtobool, default = 'False'
,
help = 'Should we compute the test errors of loaded models')
args = parser.parse_args()
help = 'Should we compute the test errors of loaded models')
args = parser.parse_args()
@@
-255,9
+256,9
@@
for arg in vars(args):
######################################################################
def int_to_suffix(n):
######################################################################
def int_to_suffix(n):
- if n > 1000000 and n%1000000 == 0:
+ if n >
=
1000000 and n%1000000 == 0:
return str(n//1000000) + 'M'
return str(n//1000000) + 'M'
- elif n > 1000 and n%1000 == 0:
+ elif n >
=
1000 and n%1000 == 0:
return str(n//1000) + 'K'
else:
return str(n)
return str(n//1000) + 'K'
else:
return str(n)
@@
-269,8
+270,10
@@
if args.nb_train_samples%args.batch_size > 0 or args.nb_test_samples%args.batch_
raise
if args.compress_vignettes:
raise
if args.compress_vignettes:
+ log_string('using_compressed_vignettes')
VignetteSet = vignette_set.CompressedVignetteSet
else:
VignetteSet = vignette_set.CompressedVignetteSet
else:
+ log_string('using_uncompressed_vignettes')
VignetteSet = vignette_set.VignetteSet
for problem_number in range(1, 24):
VignetteSet = vignette_set.VignetteSet
for problem_number in range(1, 24):
@@
-284,8
+287,8
@@
for problem_number in range(1, 24):
if torch.cuda.is_available(): model.cuda()
if torch.cuda.is_available(): model.cuda()
- model_filename = model.name + '_' + \
- str(problem_number) + '_' + \
+ model_filename = model.name + '_
pb:
' + \
+ str(problem_number) + '_
ns:
' + \
int_to_suffix(args.nb_train_samples) + '.param'
nb_parameters = 0
int_to_suffix(args.nb_train_samples) + '.param'
nb_parameters = 0