Usage

The following collection of pages are a concise reference of everything you need to know to use PADL. Read them all to know everything you need to get started!

Contents:

• Transforms and Pipelines
• Creating Transforms
• Combining Transforms into Pipelines
• Stages: Preprocess, Forward and Postprocess
• Applying Transforms to Data
• Saving and Loading
• Printing and Slicing
• Using PyTorch Modules with Transforms
• Debugging your Transforms
• Extras

Import anything you need from padl

• transform() for making Transforms.

• save() for saving Transforms.

• load() for loading Transforms.

• value() for saving by value.

• group() for grouping Pipeline.

• identity for doing nothing.

• batch for defining the batchified part of a pipeline.

• unbatch for defining the postprocessing part of a pipeline.

• same for applying a value’s method.

• IfInfer for conditioning on the ‘infer’-stage.

• IfEval for conditioning on the ‘eval’-stage.

• IfTrain for conditioning on the ‘train’-stage.

• Try for catching exceptions in a Transform.

• pd_debug for debugging Transforms.