当我输入“import tensorflow as tf”后,导入TensorFlow GPU时出现此错误属性错误:部分初始化的模块“charset_normalizer”没有属性“md__mypyc”(很可能是由于循环导入),如下所示:
你的短信
AttributeError Traceback (most recent call last)
Cell In[22], line 1
----> 1 import tensorflow as tf
File ~\anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\__init__.py:51
49 from ._api.v2 import autograph
50 from ._api.v2 import bitwise
---> 51 from ._api.v2 import compat
52 from ._api.v2 import config
53 from ._api.v2 import data
File ~\anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\_api\v2\compat\__init__.py:37
3 """Compatibility functions.
4
5 The `tf.compat` module contains two sets of compatibility functions.
(...)
32
33 """
35 import sys as _sys
---> 37 from . import v1
38 from . import v2
39 from tensorflow.python.compat.compat import forward_compatibility_horizon
File ~\anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\_api\v2\compat\v1\__init__.py:30
28 from . import autograph
29 from . import bitwise
---> 30 from . import compat
31 from . import config
32 from . import data
File ~\anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\_api\v2\compat\v1\compat\__init__.py:38
35 import sys as _sys
37 from . import v1
---> 38 from . import v2
39 from tensorflow.python.compat.compat import forward_compatibility_horizon
40 from tensorflow.python.compat.compat import forward_compatible
File ~\anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\_api\v2\compat\v1\compat\v2\__init__.py:28
25 # pylint: disable=g-bad-import-order
27 from . import compat
---> 28 from tensorflow._api.v2.compat.v2 import __internal__
29 from tensorflow._api.v2.compat.v2 import __operators__
30 from tensorflow._api.v2.compat.v2 import audio
File ~\anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\_api\v2\compat\v2\__init__.py:33
31 from . import autograph
32 from . import bitwise
---> 33 from . import compat
34 from . import config
35 from . import data
File ~\anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\_api\v2\compat\v2\compat\__init__.py:38
35 import sys as _sys
37 from . import v1
---> 38 from . import v2
39 from tensorflow.python.compat.compat import forward_compatibility_horizon
40 from tensorflow.python.compat.compat import forward_compatible
File ~\anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\_api\v2\compat\v2\compat\v2\__init__.py:37
35 from tensorflow._api.v2.compat.v2 import data
36 from tensorflow._api.v2.compat.v2 import debugging
---> 37 from tensorflow._api.v2.compat.v2 import distribute
38 from tensorflow._api.v2.compat.v2 import dtypes
39 from tensorflow._api.v2.compat.v2 import errors
File ~\anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\_api\v2\compat\v2\distribute\__init__.py:182
180 from . import cluster_resolver
181 from . import coordinator
--> 182 from . import experimental
183 from tensorflow.python.distribute.collective_all_reduce_strategy import CollectiveAllReduceStrategy as MultiWorkerMirroredStrategy
184 from tensorflow.python.distribute.cross_device_ops import CrossDeviceOps
File ~\anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\_api\v2\compat\v2\distribute\experimental\__init__.py:10
8 from . import coordinator
9 from . import partitioners
---> 10 from . import rpc
11 from tensorflow.python.distribute.central_storage_strategy import CentralStorageStrategy
12 from tensorflow.python.distribute.collective_all_reduce_strategy import _CollectiveAllReduceStrategyExperimental as MultiWorkerMirroredStrategy
File ~\anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\_api\v2\compat\v2\distribute\experimental\rpc\__init__.py:8
3 """Public API for tf.distribute.experimental.rpc namespace.
4 """
6 import sys as _sys
----> 8 from tensorflow.python.distribute.experimental.rpc.rpc_ops import Client
9 from tensorflow.python.distribute.experimental.rpc.rpc_ops import Server
File ~\anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\python\distribute\experimental\__init__.py:22
20 from tensorflow.python.distribute import parameter_server_strategy
21 from tensorflow.python.distribute import tpu_strategy
---> 22 from tensorflow.python.distribute.failure_handling import failure_handling
File ~\anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\python\distribute\failure_handling\failure_handling.py:33
31 from tensorflow.python.checkpoint import checkpoint_management
32 from tensorflow.python.distribute import multi_worker_util
---> 33 from tensorflow.python.distribute.failure_handling import gce_util
34 from tensorflow.python.eager import context
35 from tensorflow.python.framework import constant_op
File ~\anaconda3\envs\tf_gpu\lib\site-packages\tensorflow\python\distribute\failure_handling\gce_util.py:20
17 import os
18 import sys
---> 20 import requests
22 from six.moves.urllib import request
23 from tensorflow.python.eager import context
File ~\anaconda3\envs\tf_gpu\lib\site-packages\requests\__init__.py:48
45 from .exceptions import RequestsDependencyWarning
47 try:
---> 48 from charset_normalizer import __version__ as charset_normalizer_version
49 except ImportError:
50 charset_normalizer_version = None
File ~\anaconda3\envs\tf_gpu\lib\site-packages\charset_normalizer\__init__.py:23
1 """
2 Charset-Normalizer
3 ~~~~~~~~~~~~~~
(...)
21 :license: MIT, see LICENSE for more details.
22 """
---> 23 from charset_normalizer.api import from_fp, from_path, from_bytes, normalize
24 from charset_normalizer.legacy import detect
25 from charset_normalizer.version import __version__, VERSION
File ~\anaconda3\envs\tf_gpu\lib\site-packages\charset_normalizer\api.py:10
7 PathLike = Union[str, 'os.PathLike[str]'] # type: ignore
9 from charset_normalizer.constant import TOO_SMALL_SEQUENCE, TOO_BIG_SEQUENCE, IANA_SUPPORTED
---> 10 from charset_normalizer.md import mess_ratio
11 from charset_normalizer.models import CharsetMatches, CharsetMatch
12 from warnings import warn
AttributeError: partially initialized module 'charset_normalizer' has no attribute 'md__mypyc' (most likely due to a circular import)
t '
我安装了“requests”、“chardet”、“openpyxl”,但是没有任何变化。
1条答案
按热度按时间ao218c7q1#
您的跟踪没有显示安装了哪个版本的字符集规范化程序包。
我在使用Ray训练xgboost模型时遇到了类似的错误。我安装了charset-normalizer v3.0.1。升级到v3.1.0修复了这个错误。
试试跑
或者干脆
然后重新运行您的代码,看看这是否有效!