Restructuring training visualization and adding support for Weights & Biases Logger #664
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- VisualDL and W&B Logger inherit from a BaseLogger class - They have common functions `log_metrics`, `log_images` and more which internally call logger specific functions - Added functionality for users to use both VisualDL and W&B simultaneously - Added logging models to W&B as artifacts
…added documentation for WandbLogger
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@LielinJiang @lijianshe02 I was wondering if it was possible to get some feedback |
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@LielinJiang @LielinJiang I would love some feedback on this whenever you have the time |
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Hi @LielinJiang @lijianshe02 It would be awesome if I could get this reviewed whenever possible |
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Very glad to receive your pull request, we will review it as soon as possible |
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Thx for your contribution. Could you add the function to PaddleMIX models https://github.com/PaddlePaddle/PaddleMIX/tree/develop |
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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:Truein 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