wandb.init()once at the beginning of your script to initialize a new job. This creates a new run in W&B and launches a background process to sync data.
run = wandb.init(reinit=True): Use this setting to allow reinitializing runs
run.finish(): Use this at the end of your run to finish logging for that run
InitStartError: Error communicating with wandb process
0.13.0we suggest using:
wandb.init(). There are several approaches to managing multiprocess training:
wandb.initis called in your script, we automatically look for git information to save, including a link to a remote repo and the SHA of the latest commit. The git information should show up on your run page. If you aren't seeing it appear there, make sure that your shell's current working directory when executing your script is located in a folder managed by git.
wandb.initstarts a process that syncs metrics in real time to our cloud hosted app. If your machine is offline, you don't have internet access, or you just want to hold off on the upload, here's how to run
wandbin offline mode and sync later.
online(default): In this mode, the client sends data to the wandb server.
disabled: In this mode, the client **** returns mocked objects and prevents all network communication. The client will essentially act like a no-op. In other words, all logging is entirely disabled. However, stubs out of all the API methods are still callable. This is usually used in tests.
wandb sync [PATH_TO_RUN]. The path to your run will be a folder in your
wandbdirectory corresponding to the Run ID of the run in progress.
LaunchError: Permission denied
Launch Error: Permission denied, you don't have permissions to log to the project you're trying to send runs to. This might be for a few different reasons.
multiprocessinglibrary. If you see an error message such as:
if name == main. Note that you would only need to add this entry point protection in case you're trying to run W&B directly from the script.