Related Issues (20)
- About the usage of initial hidden state in calculating attention HOT 2
- The Pytorch version? HOT 1
- torchtext Multi30k HOT 2
- What's the exact Pytorch and Torchtext version for your code? I am trying to downgrade to a previous version in order to avoid the Multi30k.split() problem but failed. HOT 5
- About overfitting HOT 1
- about the way to calculate attention weight HOT 2
- in model.py line 76: context = attn_weights.bmm(encoder_outputs.transpose(0, 1)) # (B,1,N) HOT 1
- Hello,I have a question about the
- Hello,I have a question about the "encoder_outputs"of the model.py
- Repo is broken HOT 1
- [EROOR] Not Work Relu HOT 2
- don't have the inference mode?
- A problem with loss computation. HOT 1
- Why using relu to compute additaive attention
- Use of non-linearity in calculating attention HOT 1
- A question about the nn.Embedding
- A bug of the Loss function in the def 'train' and 'evaluate' HOT 3
- what is the nn.Parameter v for? HOT 3
- Model still uses teacher forcing when evaluating HOT 1
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from seq2seq.