``` - Githubissues

(wenda) root@ubuntu103:/home/zxc/wenda# python wenda.py -t glm6b
Namespace(Config='config.yml', Port=None, Logging=None, LLM_Type='glm6b')
library:
  count: 5
  step: 2
  strategy: calc:2 rtst:2 agents:0
librarys:
  bing:
    count: 5
  bingsite:
    count: 5
    site: www.12371.cn
  fess:
    count: 1
    fess_host: 127.0.0.1:8080
  kg:
    count: 5
    graph_host: ''
    knowledge_path: ''
    model_path: ''
  qdrant:
    batch_size: 32
    collection: qa_collection
    count: 3
    device: cpu
    model_path: model/m3e-base
    overlap: 0
    path: txt
    qdrant_path: memory/q
    similarity_threshold: 0.8
    size: 20
  remote:
    host: http://127.0.0.1:17860/api/find
  rtst:
    count: 3
    device: cuda
    model_path: model/m3e-base
    overlap: 0
    size: 20
llm:
  path: /home/zxc/models/chatglm2-6b
  strategy: cuda fp16
llm_type: glm6b
logging: false
port: 17860

Traceback (most recent call last):
  File "/home/zxc/wenda/wenda.py", line 355, in <module>
    app.mount("/txt/", StaticFiles(directory="txt"), name="txt")
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/starlette/staticfiles.py", line 57, in __init__
    raise RuntimeError(f"Directory '{directory}' does not exist")
RuntimeError: Directory 'txt' does not exist
[['cuda', 'fp16']]
2023-06-28 11:44:50.752 | ERROR    | __main__:load_zsk:69 - can't register atexit after shutdown
Traceback (most recent call last):

  File "/root/anaconda3/envs/wenda/lib/python3.10/threading.py", line 966, in _bootstrap
    self._bootstrap_inner()
    │    └ <function Thread._bootstrap_inner at 0x7fee960f60e0>
    └ <Thread(Thread-2 (load_zsk), started 140658058716736)>
  File "/root/anaconda3/envs/wenda/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
    self.run()
    │    └ <function Thread.run at 0x7fee960f5e10>
    └ <Thread(Thread-2 (load_zsk), started 140658058716736)>
  File "/root/anaconda3/envs/wenda/lib/python3.10/threading.py", line 946, in run
    self._target(*self._args, **self._kwargs)
    │    │        │    │        │    └ {}
    │    │        │    │        └ <Thread(Thread-2 (load_zsk), started 140658058716736)>
    │    │        │    └ ()
    │    │        └ <Thread(Thread-2 (load_zsk), started 140658058716736)>
    │    └ <function load_zsk at 0x7fed8253c430>
    └ <Thread(Thread-2 (load_zsk), started 140658058716736)>

> File "/home/zxc/wenda/wenda.py", line 65, in load_zsk
    import plugins.zhishiku as zsk

  File "/home/zxc/wenda/plugins/zhishiku.py", line 15, in <module>
    zhishiku = import_module('plugins.zhishiku_'+item[0])
               │                                 └ ['rtst', '2']
               └ <function import_module at 0x7fee95c16e60>

  File "/root/anaconda3/envs/wenda/lib/python3.10/importlib/__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
           │          │           │    │        │        └ 0
           │          │           │    │        └ None
           │          │           │    └ 0
           │          │           └ 'plugins.zhishiku_rtst'
           │          └ <function _gcd_import at 0x7fee9652f400>
           └ <module '_frozen_importlib' (frozen)>

  File "/home/zxc/wenda/plugins/zhishiku_rtst.py", line 3, in <module>
    import sentence_transformers

  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sentence_transformers/__init__.py", line 3, in <module>
    from .datasets import SentencesDataset, ParallelSentencesDataset
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sentence_transformers/datasets/__init__.py", line 1, in <module>
    from .DenoisingAutoEncoderDataset import DenoisingAutoEncoderDataset
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sentence_transformers/datasets/DenoisingAutoEncoderDataset.py", line 5, in <module>
    import nltk
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/__init__.py", line 146, in <module>
    from nltk.chunk import *
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/chunk/__init__.py", line 155, in <module>
    from nltk.chunk.api import ChunkParserI
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/chunk/api.py", line 13, in <module>
    from nltk.chunk.util import ChunkScore
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/chunk/util.py", line 12, in <module>
    from nltk.tag.mapping import map_tag
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/tag/__init__.py", line 70, in <module>
    from nltk.tag.sequential import (
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/tag/sequential.py", line 26, in <module>
    from nltk.classify import NaiveBayesClassifier
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/classify/__init__.py", line 97, in <module>
    from nltk.classify.scikitlearn import SklearnClassifier
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/classify/scikitlearn.py", line 38, in <module>
    from sklearn.feature_extraction import DictVectorizer
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/__init__.py", line 82, in <module>
    from .base import clone
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/base.py", line 17, in <module>
    from .utils import _IS_32BIT
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/utils/__init__.py", line 21, in <module>
    from . import _joblib
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/utils/_joblib.py", line 7, in <module>
    import joblib
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/__init__.py", line 120, in <module>
    from .parallel import Parallel
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/parallel.py", line 26, in <module>
    from ._parallel_backends import (FallbackToBackend, MultiprocessingBackend,
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/_parallel_backends.py", line 17, in <module>
    from .pool import MemmappingPool
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/pool.py", line 31, in <module>
    from ._memmapping_reducer import get_memmapping_reducers
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/_memmapping_reducer.py", line 37, in <module>
    from .externals.loky.backend import resource_tracker
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/externals/loky/__init__.py", line 20, in <module>
    from .reusable_executor import get_reusable_executor
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/externals/loky/reusable_executor.py", line 11, in <module>
    from .process_executor import ProcessPoolExecutor, EXTRA_QUEUED_CALLS
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/externals/loky/process_executor.py", line 77, in <module>
    from concurrent.futures.process import BrokenProcessPool as _BPPException
  File "/root/anaconda3/envs/wenda/lib/python3.10/concurrent/futures/process.py", line 101, in <module>
    threading._register_atexit(_python_exit)
    │         │                └ <function _python_exit at 0x7fec982752d0>
    │         └ <function _register_atexit at 0x7fee960f71c0>
    └ <module 'threading' from '/root/anaconda3/envs/wenda/lib/python3.10/threading.py'>
  File "/root/anaconda3/envs/wenda/lib/python3.10/threading.py", line 1484, in _register_atexit
    raise RuntimeError("can't register atexit after shutdown")

RuntimeError: can't register atexit after shutdown
知识库加载失败，请阅读说明
查看： https://github.com/l15y/wenda#%E7%9F%A5%E8%AF%86%E5%BA%93
Exception in thread Thread-2 (load_zsk):
Traceback (most recent call last):
  File "/root/anaconda3/envs/wenda/lib/python3.10/threading.py", line 1009, in _bootstrap_inner
    self.run()
  File "/root/anaconda3/envs/wenda/lib/python3.10/threading.py", line 946, in run
    self._target(*self._args, **self._kwargs)
  File "/home/zxc/wenda/wenda.py", line 72, in load_zsk
    raise e
  File "/home/zxc/wenda/wenda.py", line 65, in load_zsk
    import plugins.zhishiku as zsk
  File "/home/zxc/wenda/plugins/zhishiku.py", line 15, in <module>
    zhishiku = import_module('plugins.zhishiku_'+item[0])
  File "/root/anaconda3/envs/wenda/lib/python3.10/importlib/__init__.py", line 126, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/home/zxc/wenda/plugins/zhishiku_rtst.py", line 3, in <module>
    import sentence_transformers
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sentence_transformers/__init__.py", line 3, in <module>
    from .datasets import SentencesDataset, ParallelSentencesDataset
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sentence_transformers/datasets/__init__.py", line 1, in <module>
    from .DenoisingAutoEncoderDataset import DenoisingAutoEncoderDataset
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sentence_transformers/datasets/DenoisingAutoEncoderDataset.py", line 5, in <module>
    import nltk
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/__init__.py", line 146, in <module>
    from nltk.chunk import *
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/chunk/__init__.py", line 155, in <module>
    from nltk.chunk.api import ChunkParserI
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/chunk/api.py", line 13, in <module>
    from nltk.chunk.util import ChunkScore
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/chunk/util.py", line 12, in <module>
    from nltk.tag.mapping import map_tag
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/tag/__init__.py", line 70, in <module>
    from nltk.tag.sequential import (
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/tag/sequential.py", line 26, in <module>
    from nltk.classify import NaiveBayesClassifier
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/classify/__init__.py", line 97, in <module>
    from nltk.classify.scikitlearn import SklearnClassifier
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/classify/scikitlearn.py", line 38, in <module>
    from sklearn.feature_extraction import DictVectorizer
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/__init__.py", line 82, in <module>
    from .base import clone
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/base.py", line 17, in <module>
    from .utils import _IS_32BIT
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/utils/__init__.py", line 21, in <module>
    from . import _joblib
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/utils/_joblib.py", line 7, in <module>
    import joblib
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/__init__.py", line 120, in <module>
    from .parallel import Parallel
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/parallel.py", line 26, in <module>
    from ._parallel_backends import (FallbackToBackend, MultiprocessingBackend,
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/_parallel_backends.py", line 17, in <module>
    from .pool import MemmappingPool
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/pool.py", line 31, in <module>
    from ._memmapping_reducer import get_memmapping_reducers
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/_memmapping_reducer.py", line 37, in <module>
    from .externals.loky.backend import resource_tracker
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/externals/loky/__init__.py", line 20, in <module>
    from .reusable_executor import get_reusable_executor
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/externals/loky/reusable_executor.py", line 11, in <module>
    from .process_executor import ProcessPoolExecutor, EXTRA_QUEUED_CALLS
  File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/externals/loky/process_executor.py", line 77, in <module>
    from concurrent.futures.process import BrokenProcessPool as _BPPException
  File "/root/anaconda3/envs/wenda/lib/python3.10/concurrent/futures/process.py", line 101, in <module>
    threading._register_atexit(_python_exit)
  File "/root/anaconda3/envs/wenda/lib/python3.10/threading.py", line 1484, in _register_atexit
    raise RuntimeError("can't register atexit after shutdown")
RuntimeError: can't register atexit after shutdown
Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████| 7/7 [01:10<00:00, 10.08s/it]
模型加载完成
(wenda) root@ubuntu103:/home/zxc/wenda#

这个错误怎么解决呢

Originally posted by @Lufffya in https://github.com/wenda-LLM/wenda/issues/411#issuecomment-1610642669

(wenda) root@ubuntu103:/home/zxc/wenda# python wenda.py -t glm6b Namespace(Config='config.yml', Port=None, Logging=None, LLM_Type='glm6b') library: count: 5 step: 2 strategy: calc:2 rtst:2 agents:0 librarys: bing: count: 5 bingsite: count: 5 site: www.12371.cn fess: count: 1 fess_host: 127.0.0.1:8080 kg: count: 5 graph_host: '' knowledge_path: '' model_path: '' qdrant: batch_size: 32 collection: qa_collection count: 3 device: cpu model_path: model/m3e-base overlap: 0 path: txt qdrant_path: memory/q similarity_threshold: 0.8 size: 20 remote: host: http://127.0.0.1:17860/api/find rtst: count: 3 device: cuda model_path: model/m3e-base overlap: 0 size: 20 llm: path: /home/zxc/models/chatglm2-6b strategy: cuda fp16 llm_type: glm6b logging: false port: 17860 Traceback (most recent call last): File "/home/zxc/wenda/wenda.py", line 355, in <module> app.mount("/txt/", StaticFiles(directory="txt"), name="txt") File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/starlette/staticfiles.py", line 57, in __init__ raise RuntimeError(f"Directory '{directory}' does not exist") RuntimeError: Directory 'txt' does not exist [['cuda', 'fp16']] 2023-06-28 11:44:50.752 | ERROR | __main__:load_zsk:69 - can't register atexit after shutdown Traceback (most recent call last): File "/root/anaconda3/envs/wenda/lib/python3.10/threading.py", line 966, in _bootstrap self._bootstrap_inner() │ └ <function Thread._bootstrap_inner at 0x7fee960f60e0> └ <Thread(Thread-2 (load_zsk), started 140658058716736)> File "/root/anaconda3/envs/wenda/lib/python3.10/threading.py", line 1009, in _bootstrap_inner self.run() │ └ <function Thread.run at 0x7fee960f5e10> └ <Thread(Thread-2 (load_zsk), started 140658058716736)> File "/root/anaconda3/envs/wenda/lib/python3.10/threading.py", line 946, in run self._target(*self._args, **self._kwargs) │ │ │ │ │ └ {} │ │ │ │ └ <Thread(Thread-2 (load_zsk), started 140658058716736)> │ │ │ └ () │ │ └ <Thread(Thread-2 (load_zsk), started 140658058716736)> │ └ <function load_zsk at 0x7fed8253c430> └ <Thread(Thread-2 (load_zsk), started 140658058716736)> > File "/home/zxc/wenda/wenda.py", line 65, in load_zsk import plugins.zhishiku as zsk File "/home/zxc/wenda/plugins/zhishiku.py", line 15, in <module> zhishiku = import_module('plugins.zhishiku_'+item[0]) │ └ ['rtst', '2'] └ <function import_module at 0x7fee95c16e60> File "/root/anaconda3/envs/wenda/lib/python3.10/importlib/__init__.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) │ │ │ │ │ └ 0 │ │ │ │ └ None │ │ │ └ 0 │ │ └ 'plugins.zhishiku_rtst' │ └ <function _gcd_import at 0x7fee9652f400> └ <module '_frozen_importlib' (frozen)> File "/home/zxc/wenda/plugins/zhishiku_rtst.py", line 3, in <module> import sentence_transformers File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sentence_transformers/__init__.py", line 3, in <module> from .datasets import SentencesDataset, ParallelSentencesDataset File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sentence_transformers/datasets/__init__.py", line 1, in <module> from .DenoisingAutoEncoderDataset import DenoisingAutoEncoderDataset File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sentence_transformers/datasets/DenoisingAutoEncoderDataset.py", line 5, in <module> import nltk File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/__init__.py", line 146, in <module> from nltk.chunk import * File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/chunk/__init__.py", line 155, in <module> from nltk.chunk.api import ChunkParserI File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/chunk/api.py", line 13, in <module> from nltk.chunk.util import ChunkScore File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/chunk/util.py", line 12, in <module> from nltk.tag.mapping import map_tag File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/tag/__init__.py", line 70, in <module> from nltk.tag.sequential import ( File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/tag/sequential.py", line 26, in <module> from nltk.classify import NaiveBayesClassifier File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/classify/__init__.py", line 97, in <module> from nltk.classify.scikitlearn import SklearnClassifier File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/classify/scikitlearn.py", line 38, in <module> from sklearn.feature_extraction import DictVectorizer File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/__init__.py", line 82, in <module> from .base import clone File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/base.py", line 17, in <module> from .utils import _IS_32BIT File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/utils/__init__.py", line 21, in <module> from . import _joblib File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/utils/_joblib.py", line 7, in <module> import joblib File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/__init__.py", line 120, in <module> from .parallel import Parallel File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/parallel.py", line 26, in <module> from ._parallel_backends import (FallbackToBackend, MultiprocessingBackend, File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/_parallel_backends.py", line 17, in <module> from .pool import MemmappingPool File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/pool.py", line 31, in <module> from ._memmapping_reducer import get_memmapping_reducers File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/_memmapping_reducer.py", line 37, in <module> from .externals.loky.backend import resource_tracker File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/externals/loky/__init__.py", line 20, in <module> from .reusable_executor import get_reusable_executor File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/externals/loky/reusable_executor.py", line 11, in <module> from .process_executor import ProcessPoolExecutor, EXTRA_QUEUED_CALLS File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/externals/loky/process_executor.py", line 77, in <module> from concurrent.futures.process import BrokenProcessPool as _BPPException File "/root/anaconda3/envs/wenda/lib/python3.10/concurrent/futures/process.py", line 101, in <module> threading._register_atexit(_python_exit) │ │ └ <function _python_exit at 0x7fec982752d0> │ └ <function _register_atexit at 0x7fee960f71c0> └ <module 'threading' from '/root/anaconda3/envs/wenda/lib/python3.10/threading.py'> File "/root/anaconda3/envs/wenda/lib/python3.10/threading.py", line 1484, in _register_atexit raise RuntimeError("can't register atexit after shutdown") RuntimeError: can't register atexit after shutdown 知识库加载失败，请阅读说明查看： https://github.com/l15y/wenda#%E7%9F%A5%E8%AF%86%E5%BA%93 Exception in thread Thread-2 (load_zsk): Traceback (most recent call last): File "/root/anaconda3/envs/wenda/lib/python3.10/threading.py", line 1009, in _bootstrap_inner self.run() File "/root/anaconda3/envs/wenda/lib/python3.10/threading.py", line 946, in run self._target(*self._args, **self._kwargs) File "/home/zxc/wenda/wenda.py", line 72, in load_zsk raise e File "/home/zxc/wenda/wenda.py", line 65, in load_zsk import plugins.zhishiku as zsk File "/home/zxc/wenda/plugins/zhishiku.py", line 15, in <module> zhishiku = import_module('plugins.zhishiku_'+item[0]) File "/root/anaconda3/envs/wenda/lib/python3.10/importlib/__init__.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "/home/zxc/wenda/plugins/zhishiku_rtst.py", line 3, in <module> import sentence_transformers File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sentence_transformers/__init__.py", line 3, in <module> from .datasets import SentencesDataset, ParallelSentencesDataset File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sentence_transformers/datasets/__init__.py", line 1, in <module> from .DenoisingAutoEncoderDataset import DenoisingAutoEncoderDataset File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sentence_transformers/datasets/DenoisingAutoEncoderDataset.py", line 5, in <module> import nltk File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/__init__.py", line 146, in <module> from nltk.chunk import * File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/chunk/__init__.py", line 155, in <module> from nltk.chunk.api import ChunkParserI File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/chunk/api.py", line 13, in <module> from nltk.chunk.util import ChunkScore File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/chunk/util.py", line 12, in <module> from nltk.tag.mapping import map_tag File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/tag/__init__.py", line 70, in <module> from nltk.tag.sequential import ( File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/tag/sequential.py", line 26, in <module> from nltk.classify import NaiveBayesClassifier File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/classify/__init__.py", line 97, in <module> from nltk.classify.scikitlearn import SklearnClassifier File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/nltk/classify/scikitlearn.py", line 38, in <module> from sklearn.feature_extraction import DictVectorizer File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/__init__.py", line 82, in <module> from .base import clone File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/base.py", line 17, in <module> from .utils import _IS_32BIT File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/utils/__init__.py", line 21, in <module> from . import _joblib File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/sklearn/utils/_joblib.py", line 7, in <module> import joblib File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/__init__.py", line 120, in <module> from .parallel import Parallel File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/parallel.py", line 26, in <module> from ._parallel_backends import (FallbackToBackend, MultiprocessingBackend, File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/_parallel_backends.py", line 17, in <module> from .pool import MemmappingPool File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/pool.py", line 31, in <module> from ._memmapping_reducer import get_memmapping_reducers File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/_memmapping_reducer.py", line 37, in <module> from .externals.loky.backend import resource_tracker File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/externals/loky/__init__.py", line 20, in <module> from .reusable_executor import get_reusable_executor File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/externals/loky/reusable_executor.py", line 11, in <module> from .process_executor import ProcessPoolExecutor, EXTRA_QUEUED_CALLS File "/root/anaconda3/envs/wenda/lib/python3.10/site-packages/joblib/externals/loky/process_executor.py", line 77, in <module> from concurrent.futures.process import BrokenProcessPool as _BPPException File "/root/anaconda3/envs/wenda/lib/python3.10/concurrent/futures/process.py", line 101, in <module> threading._register_atexit(_python_exit) File "/root/anaconda3/envs/wenda/lib/python3.10/threading.py", line 1484, in _register_atexit raise RuntimeError("can't register atexit after shutdown") RuntimeError: can't register atexit after shutdown Loading checkpoint shards: 100%|█████████████████████████████████████████████████████████████████████████████████████| 7/7 [01:10<00:00, 10.08s/it] 模型加载完成 (wenda) root@ubuntu103:/home/zxc/wenda#

vci34 / Ghcg

``` #2