# General Public License for more details.
#
# You should have received a copy of the GNU General Public License
-# along with selector. If not, see <http://www.gnu.org/licenses/>.
+# along with svrt. If not, see <http://www.gnu.org/licenses/>.
import time
import argparse
import math
+import distutils.util
from colorama import Fore, Back, Style
# SVRT
-import vignette_set
+import svrtset
######################################################################
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',
- 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',
- 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()
# Afroze's DeepNet
-# map size nb. maps
-# ----------------------
-# input 128x128 1
-# -- conv(21x21 x 32 stride=4) -> 28x28 32
-# -- max(2x2) -> 14x14 6
-# -- conv(7x7 x 96) -> 8x8 16
-# -- max(2x2) -> 4x4 16
-# -- conv(5x5 x 96) -> 26x36 16
-# -- conv(3x3 x 128) -> 36x36 16
-# -- conv(3x3 x 128) -> 36x36 16
-
-# -- conv(5x5 x 120) -> 1x1 120
-# -- reshape -> 120 1
-# -- full(3x84) -> 84 1
-# -- full(84x2) -> 2 1
-
class AfrozeDeepNet(nn.Module):
def __init__(self):
super(AfrozeDeepNet, self).__init__()
raise
if args.compress_vignettes:
- VignetteSet = vignette_set.CompressedVignetteSet
+ log_string('using_compressed_vignettes')
+ VignetteSet = svrtset.CompressedVignetteSet
else:
- VignetteSet = vignette_set.VignetteSet
+ log_string('using_uncompressed_vignettes')
+ VignetteSet = svrtset.VignetteSet
for problem_number in range(1, 24):