show pipeline progress #48
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pytorch_ie/pipeline.py
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| @@ -279,7 +280,7 @@ def __call__( | |||
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| model_outputs: List = [] | |||
| with torch.no_grad(): | |||
| for batch in dataloader: | |||
| for batch in tqdm.tqdm(dataloader, total=len(dataloader), desc="inference"): | |||
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Is the total=len(dataloader) actually necessary?
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Also lets make this optional. I'd suggest a show_progress_bar: bool = False as parameter. tqdm has a parameter disable which can be used as disable=not show_progress_bar.
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Also tqdm must be added to the dependencies.
ArneBinder
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