Comments (6)
@IantheChan have you tried to run UI(
aim up
) in your linux server and open it via browser from windows machine?
I just try it and it works! Thanks for your wonderful work!
from aim.
@chrismaliszewski by running aim up --host 0.0.0.0 --port <port>
UI will be accessible on <linux_machine_address>:<port>
(if you have access to the host).
For example, if your machine ip is 190.15.10.38 and the port is set to 43800, UI will be hosted on 190.15.10.38:43800
from aim.
Hi @trotsky1997 we are sorry Aim is not supported on windows. The reason is that most AI infrastructures we know (including CUDA and other key tools) are built for Linux.
Aim is expected to be ran at researchers' training environment.
from aim.
I also want to use Aim in Windows, given that there are no Graphical interfaces to my Linux server which is provided by my school. Hoping that one day we could copy the log output to the windows machine after training and see the visualization in the windows machine.
from aim.
@IantheChan have you tried to run UI(aim up
) in your linux server and open it via browser from windows machine?
from aim.
@IantheChan have you tried to run UI(
aim up
) in your linux server and open it via browser from windows machine?
I'm fresh in running the Linux server command line. Could you explain exactly what you mean regarding opening "it via browser from Windows machine"? I don't follow.
@IantheChan, what did you do to accomplish your goal?
I'd greatly appreciate it!
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Related Issues (20)
- Replace GRPC as transport for aim tracking server
- How do I see the archived runs? HOT 2
- HTTP Transport commit is creating issue to init repo HOT 1
- Support Python 3.12
- PendingRollbackError in Rapid Interaction Logging with aim.run"
- Automatically store the training code versions and its differences used in every session, similar to tools like WandB and Neptune
- Aim UI can't open within Jupyterlab notebook
- Integrate Ruff Lint & Format for code standardisation
- Add more information (metrics, images) to an experiment (AimCallback is used there) HOT 1
- Export and import figures from one directory to another
- Pytorch Lightning run is marked as finished after .fit loop HOT 5
- Import an offline wandb run HOT 1
- UI is sluggish HOT 1
- Integration with Hugging Face , the demo should add report_to="none" to TrainingArguments
- Base path is ignored when comparing metrics in new tab
- Update UI to make it more visually consistent
- Local saving of artifacts/dataframes
- metrics explorer: when I set the X AXIS ALIGNMENT to "epoch", the graph shows "unable to draw lines with the current config please adjust the controls"
- Directory Structures, DataFrame Page, & Others
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