[MOE]move weight transpose to wakeup for RL secnarios (#4626)

### What this PR does / why we need it?
In reinforcement learning scenarios, the current inference applies a
transpose operation to the weights. For a cleaner architecture, the
weight transpose module was moved to wakeup.

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

Signed-off-by: lhp-deep <liuhaopeng1@huawei.com>
Co-authored-by: weijinqian0 <1184188277@qq.com>

.github/workflows/_e2e_test.yaml

@@ -205,6 +205,7 @@ jobs:
           pytest -sv tests/e2e/multicard/test_pipeline_parallel.py
           pytest -sv tests/e2e/multicard/test_prefix_caching.py
           pytest -sv tests/e2e/multicard/test_qwen3_moe.py
+          pytest -sv tests/e2e/multicard/test_offline_weight_load.py
 
   e2e-4-cards:
     name: multicard-4