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Thank you for your quick answer.
It’s hard for me to attend because the townhall opens at 1 a.m. on my timeline, but do you have any plans to upload a video of the meeting later on to places like YouTube?
Now the upgrade is not just a PyTorch, but all the other environments have been upgraded, but is the evaluation environment still the same as the previous version?
If so, can I understand that I can use “docker_build”: true in Tensorflow to apply these requirements?
What should env_name write when submitting?
just coinrun is fine?
I waited for the opportunity to submit to you to be restored. I resubmitted the same model, and this time the training began normally.
It would be nice if we were given a way to check if there was an error in advance.
There seems to be a problem that the session ends as soon as I submission.
There was no problem when I tested the local, but there was no error left in the log, so I can’t see what the problem is.