Fixes to ImageNet training script #19
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soumith
approved these changes
Dec 19, 2016
apaszke
reviewed
Dec 19, 2016
| @@ -247,7 +265,7 @@ def accuracy(output, target, topk=(1,)): | |||
| maxk = max(topk) | |||
| batch_size = target.size(0) | |||
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| _, pred = output.topk(maxk, True, True) | |||
| _, pred = output.topk(maxk, dim=1, smallest=True, sorted=True) | |||
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- Fix call to top-k which had produced incorrect prec@1 calculation - Fix checkpoint loading. Create the DataParallel container before resuming checkpoints so that the structure matches. - Weight average precision by batch size - Add '--evaluate FILE' option to only run on validation set
g00u
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Mar 21, 2025
- Fix call to top-k which had produced incorrect prec@1 calculation - Fix checkpoint loading. Create the DataParallel container before resuming checkpoints so that the structure matches. - Weight average precision by batch size - Add '--evaluate FILE' option to only run on validation set
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resuming checkpoints so that the structure matches.