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License: Other
Example usages of Chainer for natural language processing.
License: Other
Hi, I have some problem.
I compile the code that lm_rnn.py
a float is required...
File "lm_rnn.py", line 219, in
main()
File "lm_rnn.py", line 213, in main
save_rnnlm_model(args.model + '.%d' % (epoch + 1), args.vocab, args.embed, args.hidden, vocab, model)
File "lm_rnn.py", line 107, in save_rnnlm_model
print(dlm.join(fmt % x for x in row), file=fp)
File "lm_rnn.py", line 107, in
print(dlm.join(fmt % x for x in row), file=fp)
TypeError: a float is required
Hi,
Your attention mechanism is quite slow. Since you compute the linear projections (aw and bw) each time although they do not change, the time is almost quadratic.
I have implemented a faster version of attention which does a lot of precomputation and would like to push it as soon as I am done testing.
Regards.
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