adapt to main2main for model runner v2 (#7578)

### What this PR does / why we need it?
This PR aims to adapt to newest commit of vllm main branch for model
runner v2. please refer to
https://github.com/vllm-project/vllm-ascend/issues/5208
### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?

- vLLM version: v0.18.0
- vLLM main:
ed359c497a

---------

Signed-off-by: Ronald1995 <ronaldautomobile@163.com>

vllm_ascend/worker/v2/input_batch.py

@@ -79,14 +79,12 @@ class AscendInputBatch(InputBatch):
         num_reqs: int,
         num_tokens: int,
         input_buffers: AscendInputBuffers,
-        device: torch.device,
     ) -> "AscendInputBatch":
         """Override the make_dummy method to calculate seq_lens_np."""
         input_batch = InputBatch.make_dummy(
             num_reqs,
             num_tokens,
             input_buffers,
-            device,
         )
         # seq_len equals to query_len
         input_buffers.seq_lens_np[:num_reqs] = num_tokens // num_reqs