CodeCarbon API
+CodeCarbon API
+Warning
+This mode use the CodeCarbon API to upload the timeseries of your emissions on a central server. All data will be public!
+Before using it, you need an experiment_id, to get one, run:
+codecarbon init
+
It will create a experiment_id on the default project and save it to codecarbon.config
Then you could tell CodeCarbon to monitor your machine :
+codecarbon monitor
+
Or use the API in your code
+from codecarbon import track_emissions
+
+@track_emissions(save_to_api=True)
+def train_model():
+ # GPU intensive training code goes here
+if __name__ =="__main__":
+ train_model()
+
More options could be specified in @track_emissions
or in .codecarbon.config
The CodeCarbon dasboard use CodeCarbon API to get the data
+The API do not have a nice web interface to create your own organization and project, you have to use OpenAPI interface for that.
+And so on for your team, project and experiment.
+You then have to set you experiment id in CodeCarbon, with two options:
+In the code:
+from codecarbon import track_emissions
+@track_emissions(
+ measure_power_secs=30,
+ api_call_interval=4,
+ experiment_id="your experiment id",
+ save_to_api=True,
+)
+def train_model():
+
Or in the config file .codecarbon.config:
+[codecarbon]
+experiment_id = your experiment id
+save_to_api = true
+
But I see that you already did all that and have emissions data in the database, so we have to investigate for a bug in the interface.
+Thanks for taking time to report this.
+