tb_logger Error: got an unexpected keyword argument 'another_engine'

Hi, I'm trying to run train.py on Google Colab.
interact.py works fine, but when trying to fine-tune, "!python train.py" (with or without arguments) stops here:

> INFO:train.py:Build inputs and labels
> INFO:train.py:Pad inputs and convert to Tensor
> INFO:train.py:Build train and validation dataloaders
> INFO:train.py:Train dataset (Batch, Candidates, Seq length): torch.Size([131438, 2, 285])
> INFO:train.py:Valid dataset (Batch, Candidates, Seq length): torch.Size([7801, 20, 185])
> Traceback (most recent call last):
> File "train.py", line 267, in
> train()
> File "train.py", line 249, in train
> tb_logger.attach(evaluator, log_handler=OutputHandler(tag="validation", metric_names=list(metrics.keys()), another_engine=trainer), event_name=Events.EPOCH_COMPLETED)
> TypeError: __init__() got an unexpected keyword argument 'another_engine'

(this is using the CPU runtime. If I try the GPU, I don't even get this far... interact.py crashes too)

could it be a tensorboard version incompatibility? i've got the following installed:
tensorboard 2.2.2
tensorboard-plugin-wit 1.7.0
tensorboardcolab 0.0.22
tensorboardX 1.8
pytorch-ignite 0.5.0

(just tried it locally and I'm getting the same error.)

Start with train.py line 249 and the installed pytorch-ignite version, then inspect the OutputHandler call that passes another_engine. Run train.py to reproduce the TypeError; done means the logger setup accepts the supported arguments and training proceeds beyond this point.

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