hanlp.load(SIGHAN2005_MSR_CONVSEG) 卡住了

[wencan]

Describe the bug 第一次import hanlp hanlp.load(SIGHAN2005_MSR_CONVSEG) 卡住了

Code to reproduce the issue Provide a reproducible test case that is the bare minimum necessary to generate the problem.

import hanlp
from hanlp.utils.rules import split_sentence
from hanlp.pretrained.tok import SIGHAN2005_MSR_CONVSEG

tok = hanlp.load(SIGHAN2005_MSR_CONVSEG)

输出

2023-09-08 17:42:46.670747: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
2023-09-08 17:42:46.716386: I tensorflow/tsl/cuda/cudart_stub.cc:28] Could not find cuda drivers on your machine, GPU will not be used.
2023-09-08 17:42:46.716815: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-09-08 17:42:47.808801: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT

看之前的输出，下载已经完成

输入ctrl-d，会输出：

terminate called after throwing an instance of 'std::runtime_error'
  what():  random_device could not be read

试了另一个tok.SIGHAN2005_PKU_CONVSEG，也是这样 COARSE_ELECTRA_SMALL_ZH没问题

Describe the current behavior A clear and concise description of what happened.

Expected behavior A clear and concise description of what you expected to happen.

System information os: Fedora Linux 38 (Workstation Edition) kernel: 6.4.14 python: 3.11.4 hanlp: 2.1.0b50

Other info / logs Include any logs or source code that would be helpful to diagnose the problem. If including tracebacks, please include the full traceback. Large logs and files should be attached.

• [x] I've completed this form and searched the web for solutions.

[hankcs]

无法复现：https://colab.research.google.com/drive/1ghZToCWKzStRZV_a6npuzLHALIYVTBB6#scrollTo=rkVVUh9jeX5S&line=2&uniqifier=1

可能是tf不支持你的硬件，建议向对方社区反馈。

[wencan]

已经确认，不是hanlp的bug

应该是这个bug： https://github.com/pytorch/pytorch/issues/102360