From 7912acef725832debef58c4c7bf8ec22fb446c0b Mon Sep 17 00:00:00 2001 From: discus0434 Date: Sat, 22 Oct 2022 13:00:44 +0000 Subject: [PATCH] small fix --- modules/hypernetworks/hypernetwork.py | 12 +++++------- modules/ui.py | 1 - 2 files changed, 5 insertions(+), 8 deletions(-) diff --git a/modules/hypernetworks/hypernetwork.py b/modules/hypernetworks/hypernetwork.py index 3132a56c..7d12e0ff 100644 --- a/modules/hypernetworks/hypernetwork.py +++ b/modules/hypernetworks/hypernetwork.py @@ -42,22 +42,20 @@ class HypernetworkModule(torch.nn.Module): # Add an activation func if activation_func == "linear" or activation_func is None: pass - # If ReLU, Skip adding it to the first layer to avoid dying ReLU - elif activation_func == "relu" and i < 1: - pass elif activation_func in self.activation_dict: linears.append(self.activation_dict[activation_func]()) else: raise RuntimeError(f'hypernetwork uses an unsupported activation function: {activation_func}') - # Add dropout - if use_dropout: - linears.append(torch.nn.Dropout(p=0.3)) - # Add layer normalization if add_layer_norm: linears.append(torch.nn.LayerNorm(int(dim * layer_structure[i+1]))) + # Add dropout + if use_dropout: + p = 0.5 if 0 <= i <= len(layer_structure) - 3 else 0.2 + linears.append(torch.nn.Dropout(p=p)) + self.linear = torch.nn.Sequential(*linears) if state_dict is not None: diff --git a/modules/ui.py b/modules/ui.py index cd118552..eca887ca 100644 --- a/modules/ui.py +++ b/modules/ui.py @@ -1244,7 +1244,6 @@ def create_ui(wrap_gradio_gpu_call): new_hypernetwork_add_layer_norm = gr.Checkbox(label="Add layer normalization") new_hypernetwork_use_dropout = gr.Checkbox(label="Use dropout") overwrite_old_hypernetwork = gr.Checkbox(value=False, label="Overwrite Old Hypernetwork") - new_hypernetwork_activation_func = gr.Dropdown(value="relu", label="Select activation function of hypernetwork", choices=["linear", "relu", "leakyrelu"]) with gr.Row(): with gr.Column(scale=3):