Tensorflow TypeError：无法直接创建描述符答案

【问题标题】：Tensorflow TypeError: Descriptors cannot be created directlyTensorflow TypeError：无法直接创建描述符
【发布时间】：2022-06-11 03:46:35
【问题描述】：

我已经安装和设置 GPU 版本的 tensorflow 大约 8 个小时了。我终于把所有东西都安装好了，但是当我尝试测试它时，我得到了这个错误：

   More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates
>>> import tensorflow as tf                                                                                                                                                                         
Traceback (most recent call last):              
  File "<stdin>", line 1, in <module>
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\__init__.py", line 41, in <module>
    from tensorflow.python.tools import module_util as _module_util
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\__init__.py", line 40, in <module>
    from tensorflow.python.eager import context
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\eager\context.py", line 32, in <module>
    from tensorflow.core.framework import function_pb2
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\core\framework\function_pb2.py", line 16, in <module>
    from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attr__value__pb2
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\core\framework\attr_value_pb2.py", line 16, in <module>
    from tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__pb2
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\core\framework\tensor_pb2.py", line 16, in <module>
    from tensorflow.core.framework import resource_handle_pb2 as tensorflow_dot_core_dot_framework_dot_resource__handle__pb2
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\core\framework\resource_handle_pb2.py", line 16, in <module>
    from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\core\framework\tensor_shape_pb2.py", line 36, in <module>
    _descriptor.FieldDescriptor(
  File "C:\Users\Admin\AppData\Local\Programs\Python\Python38\lib\site-packages\google\protobuf\descriptor.py", line 560, in __new__
    return _message.default_pool.FindFieldByName(full_name)
TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
 1. Downgrade the protobuf package to 3.20.x or lower.
 2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates

我会把我的安装设置放在下面以供参考：

张量流 2.3.0
Python 3.8.10
CUDA 10.1
cuDNN 7.6
操作系统：Windows 10

【问题讨论】：

请提供足够的代码，以便其他人更好地理解或重现问题。
在 FieldDescriptor.__new__(cls , name, full_name, index, number, type, cpp_type, ... 559 file=None, create_key=None): # pylint: disable=redefined-builtin --> 560 _message.Message._CheckCalledFromGeneratedFile() 561 if is_extension: 562 return _message.default_pool.FindExtensionByName(full_name) TypeError: Descriptors cannot be created directly

标签： python tensorflow

【解决方案1】：

我通过将 protobuf 从 4.21.1 降级到 3.19.4 解决了导入 tensorflow 模块时遇到的类似问题

$ pip install protobuf
Requirement already satisfied ... (4.21.1)

$ pip uninstall protobuf
Found existing installation: protobuf 4.21.1
Uninstalling protobuf-4.21.1:
  Would remove:
    /usr/local/lib/python3.10/dist-packages/google/_upb/_message.abi3.so
    /usr/local/lib/python3.10/dist-packages/google/protobuf/*
    /usr/local/lib/python3.10/dist-packages/protobuf-4.21.1.dist-info/*
Proceed (Y/n)? Y
  Successfully uninstalled protobuf-4.21.1

$ pip install protobuf==3.19.4

【讨论】：