Why does main.py get stuck in this state after running? The process can be seen by ps, but not by top command, and no error is reported. What is the reason?

[hojiahao]

(score_sde_pytorch) root@dqnjrsjllvraojle-wind-5b766c4d47-m5l9l:/data/coding/score_sde_pytorch# python3 main.py --config ./configs/ve/bedroom_ncsnpp_continuous.py --mode train --workdir score_sde/ve 2025-01-17 18:24:03.674485: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0. 2025-01-17 18:24:03.678085: 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 2025-01-17 18:24:03.678102: 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. 2025-01-17 18:24:04.449546: W external/org_tensorflow/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 2025-01-17 18:24:04.485683: W external/org_tensorflow/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 2025-01-17 18:24:04.488883: W external/org_tensorflow/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 WARNING:tensorflow:From /data/miniconda/envs/score_sde_pytorch/lib/python3.8/site-packages/tensorflow_gan/python/estimator/tpu_gan_estimator.py:42: The name tf.estimator.tpu.TPUEstimator is deprecated. Please use tf.compat.v1.estimator.tpu.TPUEstimator instead.