Comments (3)
If you follow the introductory example for interactive training, you can see that there's no notion of GPU, it just generates/runs a commandline. The only time you need to worry about number of GPUs is if you want to use it to launch jobs to a farm.
from runx.
If you follow the introductory example for interactive training, you can see that there's no notion of GPU, it just generates/runs a commandline. The only time you need to worry about number of GPUs is if you want to use it to launch jobs to a farm.
But it request for a .runx file. To make more clear, I donβt have a farm at all. Basically, I wish runx can also run on a simple setup laptop, and for this, I am not clear how to configure the .runx file.
from runx.
Just use the one here, and update the LOGROOT. That's it, don't worry about the other stuff.
from runx.
Related Issues (15)
- farm support HOT 1
- A bug for log_dir HOT 2
- sumx: no valid experiments found HOT 6
- Recursive log dirs? HOT 3
- input/output error due to flush
- Run on a single machine HOT 3
- Supporting averaging results of multiple random seed?
- [feature] LOG_ROOT support `~`
- logging HOT 4
- QUES: Framework Usage HOT 1
- Problem of SUBMID_CMD: submit_job in .runx HOT 2
- tensorboard add_scalars
- simple example not working HOT 2
- Is it possible to use runx on NGC? HOT 14
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from runx.