wandb.initdo to my training process?
wandb.init()is called from your training script an API call is made to create a run object on our servers. A new process is started to stream and collect metrics, thereby keeping all threads and logic out of your primary process. Your script runs normally and writes to local files, while the separate process streams them to our servers along with system metrics. You can always turn off streaming by running
wandb offfrom your training directory, or setting the
WANDB_MODEenvironment variable to
wandb.init(mode="disabled")or by setting
WANDB_MODE=disabledyou will make wandb act like a NOOP which is perfect for testing your code.
wandb.init(mode=“disabled”)does not prevent
wandbfrom saving artifacts to
wandb.config.update(...)to associate a dataset with a training run. W&B does not store any data unless
wandb.saveis called with the local file name.
wandb.run.save()and then get the name with
wandb.logevery time the accuracy changes. Usually, you can just use .log.
wandb.log()will also update the summary value by default unless you have set the summary manually for that metric
.wandbfile that is the datastore above. If you're also logging images, we write them to
media/imagesin that directory before uploading them to cloud storage.
/teams/<your-team-name>where you invite new team members. Select service and click create to add a service account.