我正在使用tensorflow实现神经机器翻译（NMT）。
https://www.tensorflow.org/versions/master/tutorials/seq2seq#sequence-to-sequence-models
我打算为韩语和英语创建一个NMT系统。我按照Tensorflow提供的格式创建了训练、开发和测试数据。
然而，以下错误不断出现。我不知道哪里出了问题。
File "/Users/hapkim/miniconda3/lib/python3.6/runpy.py", line 193, in _run_module_as_main "__main__", mod_spec) File "/Users/hapkim/miniconda3/lib/python3.6/runpy.py", line 85, in _run_code exec(code, run_globals) File "/Users/hapkim/Desktop/stat_kaggle/nmt/nmt/nmt.py", line 605, in <module> tf.app.run(main=main, argv=[sys.argv[0]] + unparsed) File "/Users/hapkim/Desktop/stat_kaggle/seq2seq_tutorial/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 126, in run _sys.exit(main(argv)) File "/Users/hapkim/Desktop/stat_kaggle/nmt/nmt/nmt.py", line 598, in main run_main(FLAGS, default_hparams, train_fn, inference_fn) File "/Users/hapkim/Desktop/stat_kaggle/nmt/nmt/nmt.py", line 591, in run_main train_fn(hparams, target_session=target_session) File "/Users/hapkim/Desktop/stat_kaggle/nmt/nmt/train.py", line 303, in train sample_src_data = inference.load_data(dev_src_file) File "/Users/hapkim/Desktop/stat_kaggle/nmt/nmt/inference.py", line 75, in load_data inference_data = f.read().splitlines() File "/Users/hapkim/Desktop/stat_kaggle/seq2seq_tutorial/lib/python3.6/codecs.py", line 493, in read newdata = self.stream.read() File "/Users/hapkim/Desktop/stat_kaggle/seq2seq_tutorial/lib/python3.6/site-packages/tensorflow/python/lib/io/file_io.py", line 120, in read self._preread_check() File "/Users/hapkim/Desktop/stat_kaggle/seq2seq_tutorial/lib/python3.6/site-packages/tensorflow/python/lib/io/file_io.py", line 80, in _preread_check compat.as_bytes(self.__name), 1024 * 512, status) File "/Users/hapkim/Desktop/stat_kaggle/seq2seq_tutorial/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 519, in __exit__ c_api.TF_GetCode(self.status.status))tensorflow.python.framework.errors_impl.NotFoundError: None.ko; No such file or directory
命令如下所示。
我的问题是，我不确定None.ko文件是否存在，并且显示了NotFoundError错误。
python -m nmt.nmt \ --src=ko --tgt=en \ --vocab_prefix=/tmp/nmt_data/mydata/vocab \ --train_prefix=/tmp/nmt_data/mydata/train \ --dev_prefix=/tmp/nmt_data/mydata/tst2012 \ --test_prefix=/tmp/nmt_data/mydata/tst2013 \ --out_dir=/tmp/nmt_model \ --num_train_steps=12000 \ --steps_per_stats=100 \ --num_layers=2 \ --num_units=128 \ --dropout=0.2 \ --metrics=bleu回答：
我刚刚通过删除日志数据解决了这个问题。
