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| criterion = nn.CrossEntropyLoss() |
This line has a minor bug in that the below line gives normalized probabilities, as you mentioned in your lecture.
| y = probabilities_adqc_classifier(psi1, 1, 2) |
So, the criterion should not be cross entropy. Instead, it should be like this line
| loss = criteria(tc.log(psi1), lbs) |
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