record training data for each vectorized environment in SubprocVectorEnv [Need help]

[Xiong5Heng]

• I have marked all applicable categories:
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  import tianshou, gymnasium as gym, torch, numpy, sys
  print(tianshou.__version__, gym.__version__, torch.__version__, numpy.__version__, sys.version, sys.platform)

The training env is SubprocVectorEnv and now I use the tensorboard to record the training data, but the tensorboard records all parallel env in one file. However, I need separate data for each environment which are initialized with different seeds.
Is there any example? The data can be record in tensorboard or saved in CSV file.