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- Introduced optional label smoothing for training via `--smoothing` argument. - Refactored `ResNet` into a new `Host` structure to include smoothing and support advanced configurations. - Adjusted training and validation flows to utilize `Host` wrapping the original `ResNet` model.
- Standardized comments in `BasicBlock` and `BottleneckBlock` to use consistent `meta-API` notation. - Merged duplicate methods (`pinch_factor`, `effective_first_dilation`, `out_planes`) for cleaner implementation. - Updated method usages to directly reference the respective properties for improved readability and efficiency.
- Replaced `reduction_factor` with `reduce_first` for clarity and consistency. - Streamlined related methods and comments in `BasicBlock`, `BottleneckBlock`, and `LayerBlock`. - Added debug print utilities across ResNet modules to help with diagnostics. - Updated CNA APIs with `map_forward` and adjusted method order for improved readability. - Enhanced ResNet-finetune example with `--freeze_layers` option and a custom metrics renderer. - Adjusted default cardinality and pretrained weights handling in ResNet configurations.
…lated documentation - Standardized naming across the example directory, README, and `Cargo.toml`. - Enhanced pretrained model listing with detailed configurations and descriptions.
- Updated `Cargo.toml` and `Cargo.lock` files to reflect the new version.
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