| # https://aimstack.io/ | |
| # example usage in lightning module: | |
| # https://github.com/aimhubio/aim/blob/main/examples/pytorch_lightning_track.py | |
| # open the Aim UI with the following command (run in the folder containing the `.aim` folder): | |
| # `aim up` | |
| aim: | |
| _target_: aim.pytorch_lightning.AimLogger | |
| repo: ${paths.root_dir} # .aim folder will be created here | |
| # repo: "aim://ip_address:port" # can instead provide IP address pointing to Aim remote tracking server which manages the repo, see https://aimstack.readthedocs.io/en/latest/using/remote_tracking.html# | |
| # aim allows to group runs under experiment name | |
| experiment: null # any string, set to "default" if not specified | |
| train_metric_prefix: "train/" | |
| val_metric_prefix: "val/" | |
| test_metric_prefix: "test/" | |
| # sets the tracking interval in seconds for system usage metrics (CPU, GPU, memory, etc.) | |
| system_tracking_interval: 10 # set to null to disable system metrics tracking | |
| # enable/disable logging of system params such as installed packages, git info, env vars, etc. | |
| log_system_params: true | |
| # enable/disable tracking console logs (default value is true) | |
| capture_terminal_logs: false # set to false to avoid infinite console log loop issue https://github.com/aimhubio/aim/issues/2550 | |