tensorboardX: tensorboardX is incompatible with protobuf 4.21.0

This is originally found when our CI server installed protobuf 4.12.0, which was released today, as a dependency of the tensorboardX.

$ pip3 install tensorboardX  # installs the newest protobuf as a dependency
$ python3
Python 3.8.13 (default, Mar 17 2022, 16:53:17) 
[Clang 9.1.0 (clang-902.0.39.2)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> from tensorboardX import SummaryWriter
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/tensorboardX/__init__.py", line 5, in <module>
    from .torchvis import TorchVis
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/tensorboardX/torchvis.py", line 11, in <module>
    from .writer import SummaryWriter
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/tensorboardX/writer.py", line 17, in <module>
    from .comet_utils import CometLogger
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/tensorboardX/comet_utils.py", line 7, in <module>
    from .summary import _clean_tag
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/tensorboardX/summary.py", line 13, in <module>
    from .proto.summary_pb2 import Summary
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/tensorboardX/proto/summary_pb2.py", line 16, in <module>
    from tensorboardX.proto import tensor_pb2 as tensorboardX_dot_proto_dot_tensor__pb2
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/tensorboardX/proto/tensor_pb2.py", line 16, in <module>
    from tensorboardX.proto import resource_handle_pb2 as tensorboardX_dot_proto_dot_resource__handle__pb2
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/tensorboardX/proto/resource_handle_pb2.py", line 36, in <module>
    _descriptor.FieldDescriptor(
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/google/protobuf/descriptor.py", line 560, 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If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc 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
>>> 

Environment

$ pip3 list | grep -E "torch|proto|tensor"
protobuf                      4.21.0
tensorboard                   2.7.0
tensorboard-data-server       0.6.1
tensorboard-plugin-wit        1.8.0
tensorboardX                  2.5
torch                         1.10.1
$ python3 --version
Python 3.8.13

Thank you very much in advance.