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@ -177,8 +177,11 @@
- Do not use tensors as general-purpose Python data structures. Keep metadata, - Do not use tensors as general-purpose Python data structures. Keep metadata,
bookkeeping, counters, flags, shape math, padding math, index planning, memory bookkeeping, counters, flags, shape math, padding math, index planning, memory
estimates, and control-flow decisions in plain Python values unless the data estimates, and control-flow decisions in plain Python values unless the data
must participate directly in tensor computation. Avoid creating temporary must participate directly in tensor computation. Split points, slice
tensors just to use tensor methods for scalar or structural calculations. boundaries, sequence offsets, and similar structural indices should be Python
ints/lists after validation, not CPU tensors kept only to drive Python-side
control flow. Avoid creating temporary tensors just to use tensor methods for
scalar or structural calculations.
- Avoid unnecessary casts and transfers. Preserve the intended compute dtype, - Avoid unnecessary casts and transfers. Preserve the intended compute dtype,
storage dtype, bias dtype, and original tensor shape metadata. storage dtype, bias dtype, and original tensor shape metadata.
- Keep model-native latent layout handling inside the model or latent-format - Keep model-native latent layout handling inside the model or latent-format