Using TensorFlow backend.
2022-07-28 17:26:14.946123: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll
Traceback (most recent call last):
File "main.py", line 34, in
helper.exec()
File "C:\Users\30863\Function-level-Vulnerability-Detection-master\src\helper.py", line 150, in exec
embedding_model.TrainWordToVec(total_list)
File "C:\Users\30863\Function-level-Vulnerability-Detection-master\src\embedding.py", line 52, in TrainWordToVec
w2vModel = Word2Vec(data_list, workers = self.n_workers, size = self.wordtovec_size, window = self.wordtovec_window, min_count = self.wordtovec_min_count, sg = self.wordtovec_algorithm, seed = self.seed)
File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\gensim\models\word2vec.py", line 600, in init
seed=seed, hs=hs, negative=negative, cbow_mean=cbow_mean, min_alpha=min_alpha, compute_loss=compute_loss)
File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\gensim\models\base_any2vec.py", line 749, in init
end_alpha=self.min_alpha, compute_loss=compute_loss)
File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\gensim\models\word2vec.py", line 727, in train
queue_factor=queue_factor, report_delay=report_delay, compute_loss=compute_loss, callbacks=callbacks)
File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\gensim\models\base_any2vec.py", line 1067, in train
kwargs)
File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\gensim\models\base_any2vec.py", line 535, in train
total_words=total_words, kwargs)
File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\gensim\models\base_any2vec.py", line 1173, in _check_training_sanity
raise RuntimeError("you must first build vocabulary before training the model")
RuntimeError: you must first build vocabulary before training the model
conda list -n myenv.txt
Using TensorFlow backend. 2022-07-28 17:26:14.946123: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll Traceback (most recent call last): File "main.py", line 34, in
helper.exec()
File "C:\Users\30863\Function-level-Vulnerability-Detection-master\src\helper.py", line 150, in exec
embedding_model.TrainWordToVec(total_list)
File "C:\Users\30863\Function-level-Vulnerability-Detection-master\src\embedding.py", line 52, in TrainWordToVec
w2vModel = Word2Vec(data_list, workers = self.n_workers, size = self.wordtovec_size, window = self.wordtovec_window, min_count = self.wordtovec_min_count, sg = self.wordtovec_algorithm, seed = self.seed)
File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\gensim\models\word2vec.py", line 600, in init
seed=seed, hs=hs, negative=negative, cbow_mean=cbow_mean, min_alpha=min_alpha, compute_loss=compute_loss)
File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\gensim\models\base_any2vec.py", line 749, in init
end_alpha=self.min_alpha, compute_loss=compute_loss)
File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\gensim\models\word2vec.py", line 727, in train
queue_factor=queue_factor, report_delay=report_delay, compute_loss=compute_loss, callbacks=callbacks)
File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\gensim\models\base_any2vec.py", line 1067, in train
kwargs)
File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\gensim\models\base_any2vec.py", line 535, in train
total_words=total_words, kwargs)
File "C:\Users\30863\Anaconda3\envs\myenv\lib\site-packages\gensim\models\base_any2vec.py", line 1173, in _check_training_sanity
raise RuntimeError("you must first build vocabulary before training the model")
RuntimeError: you must first build vocabulary before training the model
conda list -n myenv.txt