mixture optimization batches - #217
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Replace the RoutedModule protocol with minimal dataclass-based adapters: RoutingMetrics, normalize_routing_snapshot, routing_metrics, usage_gini. Export the new helpers from the moe facade and cover them with test_moe_facade_protocol.py.
Extend _LatentAuxMixin and LatentMixture with additional aux-loss handling and routing snapshot fields; expand latent mixture tests.
…rnels Add _can_vectorize_linear_experts/_compute_vectorized_linear_experts to run same-rank Linear experts in two batched kernels; update sparse dispatch and routing-aware merge tests.
Introduce PlannerResult dataclass with to_dict/from_dict plus adapters from legacy decisions and placement plans; export from vpeft facade and extend placement schema and V-PEFT e2e tests.
…lback reasons Attach PlannerResult via _attach_planner_result and record serializable fallback reasons via _record_vpeft_fallback in apply_lora; extend LoRAConfig fields, default.yaml options, and config drift detector coverage with matching tests.
MoABlock and C2fMoA referenced sparse_inference/sparse_inference_threshold without declaring them, and default.yaml lacked the moa_sparse_inference keys mapped by moe/config.py.
Carry over the sorted-form Gini improvement from main's schedule.py into the canonical protocol implementation.
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