update ks
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@@ -201,6 +201,10 @@ def main():
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if cont_clamp_x0 > 0:
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x0_pred = torch.clamp(x0_pred, -cont_clamp_x0, cont_clamp_x0)
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eps_pred = (x_cont - torch.sqrt(a_bar_t) * x0_pred) / torch.sqrt(1.0 - a_bar_t)
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elif cont_target == "v":
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v_pred = eps_pred
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x0_pred = torch.sqrt(a_bar_t) * x_cont - torch.sqrt(1.0 - a_bar_t) * v_pred
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eps_pred = torch.sqrt(1.0 - a_bar_t) * x_cont + torch.sqrt(a_bar_t) * v_pred
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coef1 = 1.0 / torch.sqrt(a_t)
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coef2 = (1 - a_t) / torch.sqrt(1 - a_bar_t)
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mean_x = coef1 * (x_cont - coef2 * eps_pred)
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