chore : 升级 torch 2.11.0+cu128，移除自定义 Muon，修复 gloo device_id

- torch 2.7.1-cu126 升级至 2.11.0-cu128，numpy 2.3.2 升级至 2.4.4
- 移除 astrai/trainer/optim.py，改用 torch.optim.Muon
- parallel setup: gloo 后端不再传递 device_id，单卡多进程不再报错

astrai/parallel/setup.py

@@ -58,9 +58,11 @@ def setup_parallel(
     os.environ["WORLD_SIZE"] = str(world_size)
     os.environ["LOCAL_DEVICE"] = str(device_id)
 
-    dist.init_process_group(
-        rank=rank, world_size=world_size, backend=backend, device_id=device_id
-    )
+    pg_kwargs = dict(rank=rank, world_size=world_size, backend=backend)
+    if backend in ("nccl", "ccl"):
+        pg_kwargs["device_id"] = device_id
+
+    dist.init_process_group(**pg_kwargs)
 
     try:
         if backend == "nccl" and torch.cuda.is_available():