Fix merge

Author: guaneec

modules/hypernetworks/hypernetwork.py

@@ -60,7 +60,7 @@ def __init__(self, dim, state_dict=None, layer_structure=None, activation_func=N
                 linears.append(torch.nn.LayerNorm(int(dim * layer_structure[i+1])))
 
             # Add dropout except last layer
-            if use_dropout and i < len(layer_structure) - 2:
+            if use_dropout and i < len(layer_structure) - 3:
                 linears.append(torch.nn.Dropout(p=0.3))
 
         self.linear = torch.nn.Sequential(*linears)
@@ -126,7 +126,7 @@ class Hypernetwork:
     filename = None
     name = None
 
-    def __init__(self, name=None, enable_sizes=None, layer_structure=None, activation_func=None, weight_init=None, add_layer_norm=False, use_dropout=False, activate_output=False)
+    def __init__(self, name=None, enable_sizes=None, layer_structure=None, activation_func=None, weight_init=None, add_layer_norm=False, use_dropout=False, activate_output=False):
         self.filename = None
         self.name = name
         self.layers = {}