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pytorch/utils.py

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@@ -90,7 +90,7 @@ def do_one_epoch(self, dl, epoch):
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metrics = {"train/train_loss": loss,
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"train/epoch": (step + 1 + (self.n_steps_per_epoch * epoch)) / self.n_steps_per_epoch,
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"train/example_ct": self.example_ct,
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"seq_per_sec":len(batch["labels"])/(tf-ti),
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"sqe_per_sec":len(batch["labels"])/(tf-ti),
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"seq_per_sec_dl":len(batch["labels"])/tf_with_dataloader,}
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if step + 1 < self.n_steps_per_epoch:
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# 🐝 Log train metrics to wandb

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