opts = Options()
with tf.Graph().as_default(), tf.Session() as session:
model = Word2Vec(opts, session)
if FLAGS.interactive:
#print('load model from file %s %s', opts.save_path, os.path.join(opts.save_path, "/model.ckpt"))
#model.saver.restore(session, os.path.join(opts.save_path, "/model.ckpt"))
model.saver.restore(session, "./data/result/model.ckpt")
#print(model.nearby(['elephant']))
print('finsh model loading')
while True:
print('input your word')
word = sys.stdin.readline().strip()
print('haha')
print(model.nearby(['proton', 'elephant', 'maxwell']))
print(model.nearby([word]))
[root@cq01-forum-rstree01 embedding]# pwd
/home/users/chenghuige/other/tensorflow/bazel-bin/tensorflow/models/embedding
[root@cq01-forum-rstree01 embedding]# ./word2vec_optimized --train_data ./data/text8 --eval_data ./data/questions-words.txt --save_path ./data/result/ --interactive=1
