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support stable diffusion v2
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@@ -10,24 +10,28 @@ class LitEma(nn.Module):
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self.m_name2s_name = {}
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self.register_buffer('decay', torch.tensor(decay, dtype=torch.float32))
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self.register_buffer('num_updates', torch.tensor(0,dtype=torch.int) if use_num_upates
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else torch.tensor(-1,dtype=torch.int))
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self.register_buffer('num_updates', torch.tensor(0, dtype=torch.int) if use_num_upates
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else torch.tensor(-1, dtype=torch.int))
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for name, p in model.named_parameters():
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if p.requires_grad:
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#remove as '.'-character is not allowed in buffers
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s_name = name.replace('.','')
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self.m_name2s_name.update({name:s_name})
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self.register_buffer(s_name,p.clone().detach().data)
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# remove as '.'-character is not allowed in buffers
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s_name = name.replace('.', '')
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self.m_name2s_name.update({name: s_name})
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self.register_buffer(s_name, p.clone().detach().data)
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self.collected_params = []
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def forward(self,model):
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def reset_num_updates(self):
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del self.num_updates
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self.register_buffer('num_updates', torch.tensor(0, dtype=torch.int))
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def forward(self, model):
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decay = self.decay
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if self.num_updates >= 0:
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self.num_updates += 1
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decay = min(self.decay,(1 + self.num_updates) / (10 + self.num_updates))
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decay = min(self.decay, (1 + self.num_updates) / (10 + self.num_updates))
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one_minus_decay = 1.0 - decay
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