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Weights & Biases (wandb): Difference between revisions
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(Simplify and fix example) |
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import wandb | import wandb | ||
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wandb.init(project="wandb-pytorch-test") | wandb.init(project="wandb-pytorch-test") | ||
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for my_metric in range(10): | for my_metric in range(10): | ||
wandb.log({'my_metric': my_metric}) | wandb.log({'my_metric': my_metric}) | ||
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}} | }} | ||
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After a training run in offline mode, there will be a new folder <code>./wandb/offline-run*</code>. You can send the metrics to the server using the command <code>wandb sync ./wandb/offline-run*</code>. Note that using <code>*</code> will sync all runs. | After a training run in offline mode, there will be a new folder <code>./wandb/offline-run*</code>. You can send the metrics to the server using the command <code>wandb sync ./wandb/offline-run*</code>. Note that using <code>*</code> will sync all runs. | ||
</translate> | </translate> | ||