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Merge pull request #1586 from lorenzbaraldi/eval_loss
Put validation loss under amp_autocast
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commit
f266f841a0
16
train.py
16
train.py
@ -970,16 +970,16 @@ def validate(
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with amp_autocast():
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output = model(input)
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if isinstance(output, (tuple, list)):
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output = output[0]
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if isinstance(output, (tuple, list)):
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output = output[0]
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# augmentation reduction
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reduce_factor = args.tta
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if reduce_factor > 1:
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output = output.unfold(0, reduce_factor, reduce_factor).mean(dim=2)
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target = target[0:target.size(0):reduce_factor]
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# augmentation reduction
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reduce_factor = args.tta
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if reduce_factor > 1:
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output = output.unfold(0, reduce_factor, reduce_factor).mean(dim=2)
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target = target[0:target.size(0):reduce_factor]
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loss = loss_fn(output, target)
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loss = loss_fn(output, target)
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acc1, acc5 = utils.accuracy(output, target, topk=(1, 5))
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if args.distributed:
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@ -294,9 +294,9 @@ def validate(args):
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with amp_autocast():
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output = model(input)
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if valid_labels is not None:
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output = output[:, valid_labels]
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loss = criterion(output, target)
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if valid_labels is not None:
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output = output[:, valid_labels]
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loss = criterion(output, target)
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if real_labels is not None:
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real_labels.add_result(output)
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