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@mctigger mctigger tagged this 13 Aug 19:34
  This PR introduces significant improvements to the TensorContainer type system and documentation, along with a new symlog distribution implementation:

- Enhanced type system: Added DeviceLike and ShapeLike type aliases for consistent typing across the codebase, replacing internal PyTorch types with
  public API equivalents
- Comprehensive documentation: Added detailed design decisions document explaining TensorContainer architecture, batch/event dimension separation, PyTree
   integration, and performance optimization strategies• New symlog distribution: Implemented SymLogDistribution with bijective SymexpTransform for
  modeling data with wide dynamic ranges
- Improved validation: Refactored tensor container initialization to always validate by default, removing the validate_args parameter
  • Better PyTree integration: Enhanced metadata preservation during pytree operations and improved nested container interaction tests
- Device resolution improvements: Streamlined device compatibility logic with better error handling
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