Comments (5)
No... this is a bug. The VS Code integration is supposed to work with determined installed outside of WSL. cc @MikhailKardash.
This won't get fixed until the new year though.
from determined.
ok @agarcia-ruiz this should be fixed in the newest release, 0.27.0, which just landed.
from determined.
Hi!
I currently use Windows and the best recommendation I have is to use WSL - we only have support for WSL as per our docs.
Please go through those install instructions, and let me know if you run into any issues.
from determined.
Oh, my apologies, I thought it was supported. Closing the issue.
Will give WSL another go, since I tried before and had this problem with VS Code #7726 , but I see there is a workaround posted now.
Best wishes for the new year!
from determined.
My bad, thanks @rb-determined-ai!
from determined.
Related Issues (20)
- 🤔[question] LOGs HOT 4
- 🤔 model registry - inference with pytorch model HOT 1
- 🐛[bug] Error Starting Up Cluster using det deploy HOT 4
- 🐛[bug] Bad ref on requirements.rst in Docs HOT 1
- 🐛[bug] Resources failed with non-zero exit code: container failed with non-zero exit code: 80 HOT 5
- 🐛[bug] Master refuses to accept agents connection HOT 4
- 🤔[question] Changing the default config path for the determined-agent.service HOT 5
- 🤔[question] Updating the default Determined-Pytorch container to 2.1/2.2 HOT 1
- 🐛[bug] Running Mnist Tutorial distributed causes Runtime Errors and Hanging behavior HOT 12
- 🤔[question] dialing to http://172.22.0.1:32862: dial tcp 172.22.0.1:32862: connect: connection refused HOT 2
- 🐛[bug] Kernel status: pending HOT 11
- 🤔[question] Where can I find the source code of the CLI? HOT 1
- 🤔[question] Can not connect to master node HOT 6
- 🤔[question] Open to updates to EKS deployment? HOT 6
- 🤔[question] How to get pod address by experiment HOT 1
- Integrated with VTable HOT 1
- 🐛[bug] pulling container image: error parsing image name HOT 3
- 💡[feat] local cluster to use offline docker images HOT 1
- 💡[feat] the request to add a feature that releases resources automatically in case of a timeout or if the GPU utilization falls below a certain threshold HOT 4
- 💡[feat] delete the task logs HOT 1
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from determined.