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tensorboardX is incompatible with protobuf 4.21.0

See original GitHub issue

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/", line 5, in <module>
    from .torchvis import TorchVis
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/tensorboardX/", line 11, in <module>
    from .writer import SummaryWriter
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/tensorboardX/", line 17, in <module>
    from .comet_utils import CometLogger
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/tensorboardX/", line 7, in <module>
    from .summary import _clean_tag
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/tensorboardX/", line 13, in <module>
    from .proto.summary_pb2 import Summary
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/tensorboardX/proto/", 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/", 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/", line 36, in <module>
  File "/Users/dtakahashi/Library/Python/3.8/lib/python/site-packages/google/protobuf/", line 560, in __new__
TypeError: Descriptors cannot not be created directly.
If this call came from a file, your generated code is out of date and must be regenerated with protoc 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:


$ 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.

Issue Analytics

  • State:closed
  • Created a year ago
  • Reactions:1
  • Comments:11 (4 by maintainers)

github_iconTop GitHub Comments

erikfreycommented, Jun 1, 2022

+1, brax uses tensorboardX and we are seeing this problem too.

But also, thanks for tensorboardX, we find it quite useful 😃

erikfreycommented, Jun 7, 2022

@lanpa I just tried and it’s working for Brax:

  Running develop for brax
Successfully installed Pillow-9.1.1 absl-py-1.1.0 brax-0.0.13 chex-0.1.3 cloudpickle-2.1.0 cycler-0.11.0 dataclasses-0.6 dm-tree-0.1.7 flatbuffers-2.0 flax-0.5.0 fonttools-4.33.3 grpcio-1.46.3 gym-0.24.0 gym-notices-0.0.7 importlib-metadata-4.11.4 jax-0.3.13 jaxlib-0.3.10 kiwisolver-1.4.2 matplotlib-3.5.2 msgpack-1.0.4 numpy-1.22.4 opt_einsum-3.3.0 optax-0.1.2 packaging-21.3 protobuf-3.20.1 pyparsing-3.0.9 python-dateutil-2.8.2 pytinyrenderer-0.0.13 scipy-1.8.1 six-1.16.0 tensorboardX-2.5.1 toolz-0.11.2 trimesh-3.12.5 typing-extensions-4.2.0 zipp-3.8.0

So looks like I’m OK with 3.20.1 - thanks for checking. I hope that when tensorboard upstream fixes this protobuf compatibility issue, it allows you to undo this change.

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