Update train_ms.py
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@@ -160,8 +160,8 @@ def run(rank, n_gpus, hps):
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optim_g, skip_optimizer=True)
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optim_g, skip_optimizer=True)
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_, _, _, epoch_str = utils.load_checkpoint(utils.latest_checkpoint_path(hps.model_dir, "D_*.pth"), net_d,
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_, _, _, epoch_str = utils.load_checkpoint(utils.latest_checkpoint_path(hps.model_dir, "D_*.pth"), net_d,
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optim_d, skip_optimizer=True)
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optim_d, skip_optimizer=True)
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if net_dur_disc is not None:
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#if net_dur_disc is not None:
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_, _, _, epoch_str = utils.load_checkpoint(utils.latest_checkpoint_path(hps.model_dir, "DUR_*.pth"), net_dur_disc, optim_dur_disc, skip_optimizer=True)
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# _, _, _, epoch_str = utils.load_checkpoint(utils.latest_checkpoint_path(hps.model_dir, "DUR_*.pth"), net_dur_disc, optim_dur_disc, skip_optimizer=True)
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epoch_str = max(epoch_str, 1)
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epoch_str = max(epoch_str, 1)
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global_step = (epoch_str - 1) * len(train_loader)
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global_step = (epoch_str - 1) * len(train_loader)
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except Exception as e:
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except Exception as e:
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