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Fix broadcasting for batch size > 1 #84

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Fix broadcasting for batch size > 1 #84

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  • fix broadcasting for inference batch size > 1
  • change 4 instances of x.data[0] to x.item()

@tomrunia
- fix broadcasting for inference batch size > 1
7ac8b2f 
- change 4 instances of x.data[0] to x.item()
@tomrunia tomrunia mentioned this pull request Sep 10, 2018
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stefan-sf-wu
stefan-sf-wu reviewed Jan 22, 2022
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main.py
@@ -366,10 +366,10 @@ def inference(args, epoch, data_loader, model, offset=0):
with torch.no_grad():
losses, output = model(data[0], target[0], inference=True)

losses = [torch.mean(loss_value) for loss_value in losses]
losses = [torch.mean(loss_value) for loss_value in losses]
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Duplicate.

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