service.log

2021-09-07 17:09:44.522272: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/local/cuda-10.0/lib64::/home/cuda-8.0/lib64:/home/rhino/GPUInstallPackages/cuda/lib64:/home/rhino/mysql-5.6.25-linux-x86_64/lib:/usr/lib:/home/rhino/zkq/software/python/envs/bert/lib
2021-09-07 17:09:44.522316: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Building prefix dict from the default dictionary ...
Building prefix dict from the default dictionary ...
Loading model from cache /tmp/jieba.cache
Loading model from cache /tmp/jieba.cache
Loading model cost 0.825 seconds.
Loading model cost 0.825 seconds.
Prefix dict has been built successfully.
Prefix dict has been built successfully.
/data02/gob/virtua_env/python3.7/lib/python3.7/site-packages/transformers/tokenization_utils_base.py:1621: FutureWarning: Calling BertTokenizer.from_pretrained() with the path to a single file or url is deprecated and won't be possible anymore in v5. Use a model identifier or the path to a directory instead.
  FutureWarning,
 * Serving Flask app 'el_service' (lazy loading)
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: off
 * Running on all addresses.
   WARNING: This is a development server. Do not use it in a production deployment.
 * Running on http://10.45.150.74:1080/ (Press CTRL+C to quit)