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Contents:

  • Introduction
    • Getting Started
      • Installation
      • Your first PADL program
      • Try out PADL in Colab notebooks
      • Resources
    • Contributing
    • Licensing
  • Usage
    • Transforms and Pipelines
    • Creating Transforms
    • Combining Transforms into Pipelines
      • Compose >>
      • Rollout +
      • Parallel /
      • Map ~
      • Grouping Transforms
      • Examples
        • Compose
          • Building pre-processing pipelines
          • Combining pre-processing, model forward pass and post-processing
        • Rollout
          • Extracting items from a dictionary
          • Generating different versions of an image
        • Parallel
          • Pass training samples
        • Map
          • Example: convert multiple images to tensors
    • Stages: Preprocess, Forward and Postprocess
    • Applying Transforms to Data
    • Saving and Loading
    • Printing and Slicing
    • Using PyTorch Modules with Transforms
      • PADL Automatically Saves PyTorch State-Dicts
      • Devices
      • Accessing Layers and Parameters
      • Weight Sharing
    • Debugging your Transforms
      • Example
    • Extras
      • The same Utility
      • Applying Transforms Depending on the Mode
      • Exception Handling
    • Import anything you need from padl
  • Advanced Topics
    • Saving
      • How it works
      • Saving by value
        • Custom serializers
      • Saving pytorch modules
      • Defining Transform within nested scopes
      • Saving Transforms from other modules
      • What does not save
        • Variables defined as the targets of with blocks
        • Variables defined as targets of loops
        • Mutated objects
  • API Documentation
    • padl
    • padl.dumptools
    • padl.dumptools.ast_utils
    • padl.dumptools.inspector
    • padl.dumptools.packagefinder
    • padl.dumptools.serialize
    • padl.dumptools.sourceget
    • padl.dumptools.symfinder
    • padl.dumptools.var2mod
    • padl.exceptions
    • padl.print_utils
    • padl.transforms
    • padl.util_transforms
    • padl.utils
    • padl.version
    • padl.wrap
PADL
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