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yuanzhigang10 avatar yuanzhigang10 commented on September 13, 2024 4

@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.

Mega4alik avatar Mega4alik commented on September 13, 2024

Having the same issue.
@yuanzhigang10 Could you resolve this problem?

from rnn-tutorial-rnnlm.

zhbzz2007 avatar zhbzz2007 commented on September 13, 2024

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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