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Fix one-hot encoding #80

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Fix one-hot encoding #80

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331daa8
Fix one-hot encoding
maxim5 Dec 16, 2017
430d756
fix the sample generator as well
maxim5 Dec 16, 2017
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6 changes: 3 additions & 3 deletions examples/11_char_rnn_gist.py
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Original file line number Diff line number Diff line change
Expand Up @@ -59,7 +59,7 @@ def create_rnn(seq, hidden_size=HIDDEN_SIZE):
return output, in_state, out_state

def create_model(seq, temp, vocab, hidden=HIDDEN_SIZE):
seq = tf.one_hot(seq, len(vocab))
seq = tf.one_hot(seq - 1, len(vocab))
output, in_state, out_state = create_rnn(seq, hidden)
# fully_connected is syntactic sugar for tf.matmul(w, output) + b
# it will create w and b for us
Expand Down Expand Up @@ -103,7 +103,7 @@ def online_inference(sess, vocab, seq, sample, temp, in_state, out_state, seed='
if state is not None:
feed.update({in_state: state})
index, state = sess.run([sample, out_state], feed)
sentence += vocab_decode(index, vocab)
sentence += vocab_decode(index + 1, vocab)
print(sentence)

def main():
Expand All @@ -120,4 +120,4 @@ def main():
training(vocab, seq, loss, optimizer, global_step, temp, sample, in_state, out_state)

if __name__ == '__main__':
main()
main()