问题：
Traceback (most recent call last): File "main_VAE.py", line 2, in <module>import tensorflow as tfFile "D:\Anaconda\envs\tensorflow1\lib\site-packages\tensorflow\__init__.py", line 99, in <module> from tensorflow_core import *File "D:\Anaconda\envs\tensorflow1\lib\site-packages\tensorflow_core\__init__.py", line 28, in <module>from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-importFile "<frozen importlib._bootstrap>", line 1019, in _handle_fromlistFile "D:\Anaconda\envs\tensorflow1\lib\site-packages\tensorflow\__init__.py", line 50, in __getattr__ module = self._load()File "D:\Anaconda\envs\tensorflow1\lib\site-packages\tensorflow\__init__.py", line 44, in _load module = _importlib.import_module(self.__name__)File "D:\Anaconda\envs\tensorflow1\lib\importlib\__init__.py", line 127, in import_modulereturn _bootstrap._gcd_import(name[level:], package, level)File "D:\Anaconda\envs\tensorflow1\lib\site-packages\tensorflow_core\python\__init__.py", line 52, in <module>from tensorflow.core.framework.graph_pb2 import *File "D:\Anaconda\envs\tensorflow1\lib\site-packages\tensorflow_core\core\framework\graph_pb2.py", line 16, in <module>from tensorflow.core.framework import node_def_pb2 as tensorflow_dot_core_dot_framework_dot_node__def__pb2File "D:\Anaconda\envs\tensorflow1\lib\site-packages\tensorflow_core\core\framework\node_def_pb2.py", line 16, in <module>from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attr__value__pb2File "D:\Anaconda\envs\tensorflow1\lib\site-packages\tensorflow_core\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__pb2File "D:\Anaconda\envs\tensorflow1\lib\site-packages\tensorflow_core\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__pb2File "D:\Anaconda\envs\tensorflow1\lib\site-packages\tensorflow_core\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__pb2File "D:\Anaconda\envs\tensorflow1\lib\site-packages\tensorflow_core\core\framework\tensor_shape_pb2.py", line 42, in <module>serialized_options=None, file=DESCRIPTOR),File "D:\Anaconda\envs\tensorflow1\lib\site-packages\google\protobuf\descriptor.py", line 561, in __new___message.Message._CheckCalledFromGeneratedFile()
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主要报错就是最后面的：
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).解决方法：
方法一：
降低protobuf的版本：
pip install protobuf==3.20.*方法二：
你可以设置以下环境变量：
export PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python
)
