Fix wrong weight reference in dynamic EPLB (#6818)

python/sglang/srt/models/qwen3_moe.py

@@ -18,15 +18,10 @@
 """Inference-only Qwen3MoE model compatible with HuggingFace weights."""
 
 import logging
-from dataclasses import dataclass
-from enum import Enum, auto
-from functools import partial
 from typing import Any, Dict, Iterable, Optional, Tuple
 
 import torch
-import torch.nn.functional as F
 from torch import nn
-from transformers.configuration_utils import PretrainedConfig
 
 from sglang.srt.distributed import (
     get_pp_group,
@@ -811,6 +806,7 @@ class Qwen3MoeForCausalLM(nn.Module):
                     else:
                         logger.warning(f"Parameter {name} not found in params_dict")
 
+        # TODO mimic deepseek
         self.routed_experts_weights_of_layer = {
             layer_id: self.model.layers[layer_id].mlp.get_moe_weights()
             for layer_id in range(self.start_layer, self.end_layer)