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Show the right amount of steps in the progress bar for uni_pc.
The extra step doesn't actually call the unet so it doesn't belong in the progress bar.
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@ -712,7 +712,7 @@ class UniPC:
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# timesteps = self.get_time_steps(skip_type=skip_type, t_T=t_T, t_0=t_0, N=steps, device=device)
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# timesteps = self.get_time_steps(skip_type=skip_type, t_T=t_T, t_0=t_0, N=steps, device=device)
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assert timesteps.shape[0] - 1 == steps
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assert timesteps.shape[0] - 1 == steps
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# with torch.no_grad():
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# with torch.no_grad():
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for step_index in trange(steps + 1):
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for step_index in trange(steps):
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if step_index == 0:
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if step_index == 0:
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vec_t = timesteps[0].expand((x.shape[0]))
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vec_t = timesteps[0].expand((x.shape[0]))
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model_prev_list = [self.model_fn(x, vec_t)]
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model_prev_list = [self.model_fn(x, vec_t)]
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@ -728,8 +728,10 @@ class UniPC:
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model_prev_list.append(model_x)
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model_prev_list.append(model_x)
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t_prev_list.append(vec_t)
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t_prev_list.append(vec_t)
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else:
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else:
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step = step_index
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extra_final_step = 0
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# for step in range(order, steps + 1):
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if step_index == (steps - 1):
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extra_final_step = 1
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for step in range(step_index, step_index + 1 + extra_final_step):
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vec_t = timesteps[step].expand(x.shape[0])
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vec_t = timesteps[step].expand(x.shape[0])
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if lower_order_final:
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if lower_order_final:
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step_order = min(order, steps + 1 - step)
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step_order = min(order, steps + 1 - step)
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