Restructuring training visualization and adding support for Weights & Biases Logger #664
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
This PR redesigns the logging system in GAN without changing any of the console logging. The proposed change is to have a BaseLogger class from which new loggers can inherit. This includes the VisualDL logger, the new Weights & Biases Logger and any new custom loggers that might be added later.
Using the W&B Logger would be really easy for users. The only requirement is to set
enable_wandb:True
in the config.yml file. To add any other wandb related arguments like project name, entity name and so on, the users can add the wandb key.For example:
This leads to all the training metrics being logged to W&B.
The dashboard:
The models at every model saving step and evaluation step are also logged to the W&B run with the appropriate tags and metadata.
The dashboard is available here