Comments (3)
@Mega4alik You can change next_word_probs = model.forward_propagation(new_sentence)
to next_word_probs, _ = model.forward_propagation(new_sentence)
or next_word_probs = model.forward_propagation(new_sentence)[0]
, in my test it can run again.
from rnn-tutorial-rnnlm.
Having the same issue.
@yuanzhigang10 Could you resolve this problem?
from rnn-tutorial-rnnlm.
I meet the same problem.
model.forward_propagation(new_sentence)
return o,s
, but in this code, just return value to next_word_probs
, so next_word_probs
will to be a tuple.
When we use next_word_probs
in np.random.multinomial(1, next_word_probs[-1])
, that means we use a 2-D array ,but np.random.multinomial()
require 1-D array, so it will raise ValueError: object too deep for desired array
error.
We can next_word_probs,_ = model.forward_propagation(new_sentence)
or other methods to solve this problem.
from rnn-tutorial-rnnlm.
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from rnn-tutorial-rnnlm.