diff options
Diffstat (limited to 'modules')
| -rw-r--r-- | modules/hypernetworks/hypernetwork.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py index d647ea55..54346b64 100644 --- a/modules/hypernetworks/hypernetwork.py +++ b/modules/hypernetworks/hypernetwork.py @@ -41,8 +41,8 @@ class HypernetworkModule(torch.nn.Module): # Add a fully-connected layer
linears.append(torch.nn.Linear(int(dim * layer_structure[i]), int(dim * layer_structure[i+1])))
- # Add an activation func
- if activation_func == "linear" or activation_func is None:
+ # Add an activation func except last layer
+ if activation_func == "linear" or activation_func is None or i >= len(layer_structure) - 3:
pass
elif activation_func in self.activation_dict:
linears.append(self.activation_dict[activation_func]())
@@ -53,7 +53,7 @@ class HypernetworkModule(torch.nn.Module): if add_layer_norm:
linears.append(torch.nn.LayerNorm(int(dim * layer_structure[i+1])))
- # Add dropout expect last layer
+ # Add dropout except last layer
if use_dropout and i < len(layer_structure) - 3:
linears.append(torch.nn.Dropout(p=0.3))
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