第二代原语优化器: SignLine/ConsensusLion/DitherLion 实装+本地筛选电池发射

R4后设计原则=只追不翻腾的目标。SignLine核心洞察: 正行/列缩放在sign内是无操作, 作为脉冲幅度
在sign外才有效=因子化自适应的模拟原生形态; ConsensusLion=双漏率电容+符合门的噪声否决;
DitherLion=免费噪声做期望软sign。KFAC-lite(追平稳的活动协方差)列为下一轮。
9臂与stage A同协议本地筛选中; 发射纪律教训追加: 发射与等待必须分Bash调用(超时杀树会扫掉setsid)。

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014FAPDWQ49M5Ye3NpTndTpn

1 files changed, 2 insertions, 2 deletions

diff --git a/ep_run/casc_eq_train.py b/ep_run/casc_eq_train.py
index 4a436d1..6a6865d 100644
--- a/ep_run/casc_eq_train.py
+++ b/ep_run/casc_eq_train.py
@@ -22,7 +22,7 @@ ap.add_argument('--wandb_run', default='')
 ap.add_argument('--kmax', type=int, default=8)          # adaptive fb rounds cap
 ap.add_argument('--noguard', action='store_true')       # diagnosis: skip only non-finite grads
 ap.add_argument('--untie', action='store_true')         # separate readout matrix (untied from tok)
-ap.add_argument('--opt', choices=['adamw', 'muon', 'sgdm', 'lion', 'olion', 'adafactor'], default='adamw')
+ap.add_argument('--opt', choices=['adamw', 'muon', 'sgdm', 'lion', 'olion', 'adafactor', 'signline', 'conslion', 'ditherlion'], default='adamw')
 ap.add_argument('--muon_lr', type=float, default=0.02)
 ap.add_argument('--tok_init', type=float, default=0.0)  # >0: init tok/pos with this std (GPT-standard 0.02)
 ap.add_argument('--compile', action='store_true')       # torch.compile each block (free speed where supported)
@@ -344,7 +344,7 @@ if args.bf16:
     if args.untie:
         with torch.no_grad(): W_out.data = W_out.data.to(torch.bfloat16)
     print('[bf16] model cast to bfloat16 (E-accum + sigma stay fp32)', flush=True)
-if args.opt in ('sgdm', 'lion', 'olion', 'adafactor'):
+if args.opt in ('sgdm', 'lion', 'olion', 'adafactor', 'signline', 'conslion', 'ditherlion'):
     from muon import build_alt
     opt, sched = build_alt(args.opt, blocks, all_params, args.lr, args.warmup,
                            total_steps=(args.steps if args.cosine else 0), lr_min_ratio=args.lr_min_ratio,