dotnet / dotnet/machinelearning-modelbuilder
CUDA error: CUBLAS_STATUS_NOT_INITIALIZED
- Dominant language
- Dockerfile
- Stars
- 285
- Forks
- 66
- PR merge metrics
- No merged PRs in 30d
Description
**System Information (please complete the following information):**
- Model Builder Version (available in Manage Extensions dialog): Latest
- Visual Studio Version 2022
**Describe the bug**
- On which step of the process did you run into an issue: After clicking train in Text Classification with GPU
- Clear description of the problem: I receive the attached error
Dataset has one lable (multiclass, up to 3000 categories), one text field.
It there is a limit of max categories, then the error is probably valid but could be more user-friendly to help know what to do.
If I change to label with 100 or 500 categories, then I get another error, see below.
I think I once received an error with 10 labels, too, but I may be mistaken. I think the Cancel button will give an error message so maybe that got me confuder. However, it may work with 10 labels, I will update tomorrow after letting it run over the night.
[jobads-isco-29102022-partial-predicted-isco-full-level-AQ87A5.txt](https://github.com/dotnet/machinelearning-modelbuilder/files/9985315/jobads-isco-29102022-partial-predicted-isco-full-level-AQ87A5.txt)

Next time I tried I got this error module_to_device

Another error which happened during testing, it may have been related to cancelling a training

Contributor guide
No contributing guide indexed for this repository
Assessment
This issue has not been assessed yet.