Chaoyu
Is this addressed in https://github.com/bentoml/BentoML/pull/2977?
Hi @cristozz, I believe this issue is addressed in https://github.com/bentoml/BentoML/pull/2912, it will be available in the upcoming release version 1.1. @larme could you confirm if this is the same issue...
Thanks for the suggestion @creativedutchmen, I really like this approach. @ssheng @bojiang, what do you think? I believe this will simplify how users can create Grafana dashboards for Yatai deployment...
Had a quick chat with @aarnphm about this - I think Yatai already uses Podman in our image builders on kubernetes, but requires some hacking into the Bento's files. Ideally...
@ahallermed thank you for reporting this, you are right the sample code is outdated and we will look into that. cc @bojiang
Update: this doc is actually only available for the master branch, not the 0.13.1 release, the document got updated before the release. For version 0.13.1, the suggested change in #1961...
Hi @andrewsi-z yes definitely, would love to get you on our beta test list and hear your feedback. I will ping you in slack.
In debug mode, RunnerApp should: * log the batch size for each run * log the latency for each run
@darkking-park does it work if you run `torch.hub.load("ultralytics/yolov5", 'custom', path='my_custom_yolov5_model.pt', force_reload=True)` in a python shell?
@darkking-park were you able to run the example with a brand new torch hub model downloaded from the git repo? Where did you put the `'my_custom_yolov5_model.pt` file? is it under...