New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

The dimension of predicted_softmax in DecoderRNN.py #193

Open

tk1363704 opened this issue Oct 12, 2019 · 0 comments

tk1363704 commented Oct 12, 2019 •

edited

Loading

pytorch-seq2seq/seq2seq/models/DecoderRNN.py

Line 105 in f146087

    
           predicted_softmax = function(self.out(output.contiguous().view(-1, self.hidden_size)), dim=1).view(batch_size, output_size, -1)

I think .view(batch_size, output_size, -1) should be .view(batch_size, -1, output_size) or this line just makes no sense.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment