Comments (2)
You need to have your target Tensor to be a 1 tensor (target = torch.Tensor(10)
), so that when it gets concatenated it becomes a 2D tensor instead.
Also, you need to remove the meters
that only work for classification, like the ClassErrorMeter
.
Those are the only changes needed in the example for it to work with MSECriterion.
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Thank you. I've checked it.
But absence of meter (and also class error meter) makes results to nonsensed one.
I'll think further.
The question what I asked is closed.
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