[CI] Add dispatch job to leverage dynamic devices (#251)

### What this PR does / why we need it?
Add dispatch job to leverage jobs to dynamic devices include 2 stage as
below:

The dispatch job will spend extra about `10s * parallel number + 30s`
time to wait other job launch container and release lock.

- **Stage 1: Acquire lock**
add a dispatch job, this job use lockfile to acquire locks and then get
device number dynamically
- **Stage 2.1: Launch container with dynamic device**
pass the device number via output and start the container job with
dynamic device
- **Stage 2.2: Release lock**
once the job started, release the lock.

In the backend, we use multiple path to setup multiple self host runners
as load balancer:
```
$ pwd
/home/action
$ ll | grep actions
drwx------   6 action action 4096 Mar  7 08:55 actions-runner-01
drwx------   6 action action 4096 Mar  7 08:55 actions-runner-02
drwx------   6 action action 4096 Mar  7 08:55 actions-runner-03
drwx------   6 action action 4096 Mar  7 08:56 actions-runner-04
drwx------   4 action action 4096 Jan 24 22:08 actions-runner-05
drwx------   4 action action 4096 Jan 24 22:08 actions-runner-06
```

```
adduser -G docker action
su action
pip3 install docker prettytable
sudo yum install procmail
```

### Does this PR introduce _any_ user-facing change?
NO

### How was this patch tested?
- CI passed
- E2E test manully, triggered 3 jobs in parallel:
- [1st
job](https://github.com/vllm-project/vllm-ascend/actions/runs/13711345757/job/38348309297)
dispatch to /dev/davinci2.
- [2nd
job](https://github.com/vllm-project/vllm-ascend/actions/runs/13711348739/job/38348316250)
dispatch to /dev/davinci3
- [3rd
job](https://github.com/vllm-project/vllm-ascend/actions/runs/13711351493/job/38348324551)
dispatch to /dev/davinci4

Signed-off-by: Yikun Jiang <yikunkero@gmail.com>

tests/test_offline_inference.py

@@ -32,6 +32,7 @@ MODELS = [
     "Qwen/Qwen2.5-0.5B-Instruct",
 ]
 os.environ["VLLM_USE_MODELSCOPE"] = "True"
+os.environ["PYTORCH_NPU_ALLOC_CONF"] = "max_split_size_mb:256"
 
 TARGET_TEST_SUITE = os.environ.get("TARGET_TEST_SUITE", "L4")