Fix raise
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@ -165,6 +165,8 @@ class PrenormResidual(nn.Module):
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elif norm_type == "adaln":
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elif norm_type == "adaln":
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assert n_levels is not None
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assert n_levels is not None
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self.norm = AdaLN(d_model, n_levels)
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self.norm = AdaLN(d_model, n_levels)
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else:
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raise NotImplementedError(norm_type)
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self.dropout = nn.Dropout(p_dropout)
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self.dropout = nn.Dropout(p_dropout)
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def forward(self, x, m, l):
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def forward(self, x, m, l):
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