Describe the bug
When I was using tensorboardX in pytorch to record hyper parameters, I got the error as the title described.
Minimal runnable code to reproduce the behavior
import tensorboardX
writer = tensorboardX.SummaryWriter()
hparams = {'batch_size': args.batch_size,
'lr': args.lr,
'momentum': args.momentum,
'weight_decay': args.weight_decay}
writer.add_hparams(hparams, {'best_acc1': best_acc1})
...
Expected behavior
A clear and concise description of what you expected to happen.
Screenshots

Environment
What is the result of
protobuf 3.19.6
tensorboard 2.10.1
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
tensorboardX 2.2
torch 1.11.0
torch-tb-profiler 0.4.0
torchaudio 0.11.0
torchvision 0.12.0
Python environment
Which version of python are you using? Did you use Andconda or Virtualenv?
Andconda
Additional context
Add any other context about the problem here.
Describe the bug
When I was using tensorboardX in pytorch to record hyper parameters, I got the error as the title described.
Minimal runnable code to reproduce the behavior
Expected behavior
A clear and concise description of what you expected to happen.
Screenshots

Environment
What is the result of
protobuf 3.19.6
tensorboard 2.10.1
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
tensorboardX 2.2
torch 1.11.0
torch-tb-profiler 0.4.0
torchaudio 0.11.0
torchvision 0.12.0
Python environment
Which version of python are you using? Did you use Andconda or Virtualenv?
Andconda
Additional context
Add any other context about the problem here.