Renamed vignette_set.py to svrtset.py

diff --git a/cnn-svrt.py b/cnn-svrt.py
index 0d4b313..58035d2 100755 (executable)
--- a/cnn-svrt.py
+++ b/cnn-svrt.py
@@ -41,7 +41,7 @@ from torchvision import datasets, transforms, utils
 
 # SVRT
 
-import vignette_set
+import svrtset
 
 ######################################################################
 
@@ -255,10 +255,10 @@ if args.nb_train_samples%args.batch_size > 0 or args.nb_test_samples%args.batch_
 
 if args.compress_vignettes:
     log_string('using_compressed_vignettes')
-    VignetteSet = vignette_set.CompressedVignetteSet
+    VignetteSet = svrtset.CompressedVignetteSet
 else:
     log_string('using_uncompressed_vignettes')
-    VignetteSet = vignette_set.VignetteSet
+    VignetteSet = svrtset.VignetteSet
 
 for problem_number in range(1, 24):
 

diff --git a/vignette_set.py b/svrtset.py
similarity index 97%
rename from vignette_set.py
rename to svrtset.py
index aef23d8..cbc71a3 100755 (executable)
--- a/vignette_set.py
+++ b/svrtset.py
@@ -44,7 +44,7 @@ class VignetteSet:
     def __init__(self, problem_number, nb_samples, batch_size, cuda = False):
 
         if nb_samples%batch_size > 0:
-            print('nb_samples must be a mutiple of batch_size')
+            print('nb_samples must be a multiple of batch_size')
             raise
 
         self.cuda = cuda
@@ -91,7 +91,7 @@ class CompressedVignetteSet:
     def __init__(self, problem_number, nb_samples, batch_size, cuda = False):
 
         if nb_samples%batch_size > 0:
-            print('nb_samples must be a mutiple of batch_size')
+            print('nb_samples must be a multiple of batch_size')
             raise
 
         self.cuda = cuda