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Why is every term of the loss function reduced by 2 in the proposed method? #1

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aki916 opened this issue Jun 12, 2024 · 0 comments

aki916 commented Jun 12, 2024

iMTSP/my_train.py

Lines 40 to 42 in c17ff89

    
           loss = torch.mul(torch.tensor(cost, device=device) - 2, log_prob.sum(dim=1)).sum() \ 
        
                  - torch.mul(cost_s.detach() - 2, log_prob.sum(dim=1)).sum() \ 
        
                  + (cost_s - 2).sum()

Would it be possible to tell me the reason why every term of the loss function is reduced by 2 in the proposed method?
Thanks in advance.

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