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Add Loss, Top1 and Top5 to iteration hook #109

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Add Loss, Top1 and Top5 to iteration hook #109

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854761a
losses, top1, top5 added to iteration hook
alexriedel1 Jan 9, 2022
bf822ae
losses, top1, top5 and docstring
alexriedel1 Jan 9, 2022
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4 changes: 2 additions & 2 deletions robustness/train.py
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Original file line number Diff line number Diff line change
Expand Up @@ -254,7 +254,7 @@ def train_model(args, model, loaders, *, checkpoint=None, dp_device_ids=None,
If given, this function is called every training iteration by
the training loop (useful for custom logging). The function is
given arguments `model, iteration #, loop_type [train/eval],
current_batch_ims, current_batch_labels`.
current_batch_ims, current_batch_labels, losses (AverageMeter), top1 accuracy (AverageMeter), top5 accuracy (AverageMeter)`.
epoch hook (function, optional)
Similar to iteration_hook but called every epoch instead, and
given arguments `model, log_info` where `log_info` is a
Expand Down Expand Up @@ -501,7 +501,7 @@ def _model_loop(args, loop_type, loader, model, opt, epoch, adv, writer):

# USER-DEFINED HOOK
if has_attr(args, 'iteration_hook'):
args.iteration_hook(model, i, loop_type, inp, target)
args.iteration_hook(model, i, loop_type, inp, target, losses, top1, top5)

iterator.set_description(desc)
iterator.refresh()
Expand Down