amoe-lora / src /amoe /diffusion /train /aligner.py
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0.2.0: amoe.diffusion subsystem (relay/multiband/StepGatedSampler, dtype law, align grounded-negative, conditioning law), safetensors I/O + amoe-convert, diffusion invariants; lineage corrected to the audited 19-package record
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"""align() β€” a grounded negative on diffusion, kept for API symmetry.
The text line's align() trains dispatch keys over frozen anchors. On
diffusion that entire family was falsified at 2 seeds β€” see
amoe.diffusion.laws.ROUTING_NEGATIVES (exp007: state+sigma keys find
nothing to route on; exp014/exp015: address-as-key dead against the
repeated-key null in both raw and M-hat-bottlenecked forms).
The certified replacement for comparative routing on the sigma axis is
STRUCTURAL banding (adapter='multiband3' in train(); exp008 lesions
surgical 3/3 both seeds). The open research form β€” TE+AMoE joint
training, where the text encoder adapter learns WITH the dispatch β€” is
queued science (history/open_questions.md), not shippable API.
"""
from __future__ import annotations
from ..laws import ROUTING_NEGATIVES
def align(*args, **kwargs):
raise NotImplementedError(
"amoe.diffusion.align: comparative dispatch on diffusion is a "
"2-seed falsified line β€” there is nothing honest to align here. "
"Use train(adapter='multiband3') for the certified structural "
"banding, or follow the open TE+AMoE joint-training question. "
"The record:\n - " + "\n - ".join(ROUTING_NEGATIVES))