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Dumb typo
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@@ -382,7 +382,7 @@ class SDTrainer(BaseSDTrainProcess):
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loss = torch.nn.functional.mse_loss(pred.float(), target.float(), reduction="none")
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# handle linear timesteps and only adjust the weight of the timesteps
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if self.sd.is_flow_matching and self.train_config.linear_timestqeps:
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if self.sd.is_flow_matching and self.train_config.linear_timesteps:
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# calculate the weights for the timesteps
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timestep_weight = self.sd.noise_scheduler.get_weights_for_timesteps(timesteps).to(loss.device, dtype=loss.dtype)
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timestep_weight = timestep_weight.view(-1, 1, 1, 1).detach()
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