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Diffstat (limited to 'doc/CNN_V2_BINARY_FORMAT.md')
| -rw-r--r-- | doc/CNN_V2_BINARY_FORMAT.md | 31 |
1 files changed, 31 insertions, 0 deletions
diff --git a/doc/CNN_V2_BINARY_FORMAT.md b/doc/CNN_V2_BINARY_FORMAT.md index fd758ee..5239e4b 100644 --- a/doc/CNN_V2_BINARY_FORMAT.md +++ b/doc/CNN_V2_BINARY_FORMAT.md @@ -196,6 +196,37 @@ if (cumulative != total_weights) { error("Total mismatch"); } --- +## Future Extensions + +**TODO: Flexible Feature Layout** + +Current limitation: Feature vector layout is hardcoded as `[p0, p1, p2, p3, uv_x, uv_y, sin10_x, bias]`. + +Proposed enhancement for version 3: +- Add feature descriptor section to header +- Specify feature count, types, and ordering +- Support arbitrary 7D feature combinations (e.g., `[R, G, B, dx, dy, uv_x, bias]`) +- Allow runtime shader generation based on descriptor +- Enable experimentation without recompiling shaders + +Example descriptor format: +``` +struct FeatureDescriptor { + u32 feature_count; // Number of features (typically 7-8) + u32 feature_types[8]; // Type enum per feature + u32 feature_sources[8]; // Source enum (mip0, mip1, gradient, etc.) + u32 reserved[8]; // Future use +} +``` + +Benefits: +- Training can experiment with different feature combinations +- No shader recompilation needed +- Single binary format supports multiple architectures +- Easier A/B testing of feature effectiveness + +--- + ## Related Files - `training/export_cnn_v2_weights.py` - Binary export tool |
