X-Git-Url: https://fleuret.org/cgi-bin/gitweb/gitweb.cgi?a=blobdiff_plain;f=ae_size.py;h=25ecc4a13222f176356028c93e32a69858e413d9;hb=10f39c31de6f66ff238b661c86ab6a29dc4f0b7f;hp=71839378d3001d1c5b5eae1601d64b3509712995;hpb=0a30c677bfb0aac1f9eebc9646728519ca72bf5b;p=pytorch.git

diff --git a/ae_size.py b/ae_size.py
index 7183937..25ecc4a 100755
--- a/ae_size.py
+++ b/ae_size.py
@@ -11,10 +11,10 @@ def minimal_input_size(w, layer_specs):
     if layer_specs == []:
         return w
     else:
-        k, s = layer_specs[0]
-        w = math.ceil((w - k) / s) + 1
+        kernel_size, stride = layer_specs[0]
+        w = math.ceil((w - kernel_size) / stride) + 1
         w = minimal_input_size(w, layer_specs[1:])
-        return int((w - 1) * s + k)
+        return int((w - 1) * stride + kernel_size)
 
 ######################################################################
 
@@ -22,14 +22,14 @@ def minimal_input_size(w, layer_specs):
 
 if __name__ == "__main__":
 
-    layer_specs = [ (11, 5), (5, 2), (3, 2), (3, 2) ]
+    layer_specs = [ (11, 5), (5, 4), (3, 2), (3, 2) ]
 
     layers = []
-    for l in layer_specs:
-        layers.append(nn.Conv2d(1, 1, l[0], l[1]))
+    for kernel_size, stride in layer_specs:
+        layers.append(nn.Conv2d(1, 1, kernel_size, stride))
 
-    for l in reversed(layer_specs):
-        layers.append(nn.ConvTranspose2d(1, 1, l[0], l[1]))
+    for kernel_size, stride in reversed(layer_specs):
+        layers.append(nn.ConvTranspose2d(1, 1, kernel_size, stride))
 
     m = nn.Sequential(*layers)