[main][bugfix] Fix bugs and refactor cached mask generation logic (#2442)

### What this PR does / why we need it?
This PR fix bugs and refactor cached mask generation logic. Now just
pre-construct and use the cached mask on cpu instead of device on npu.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
CI passed with new added/existing test.

- vLLM version: v0.10.1.1
- vLLM main:
9b5f64238f

Signed-off-by: rjg-lyh <1318825571@qq.com>

vllm_ascend/worker/eagle_proposer_v1.py

@@ -79,11 +79,10 @@ class EagleProposer:
     def _make_attention_mask(
         self,
         seq_lens,
-        query_lens,
         position,
     ) -> torch.Tensor:
         return self.attn_mask_builder.get_splitfuse_attn_mask(
-            seq_lens, query_lens, position, self.dtype, self.device)
+            seq_lens, position, self.dtype, self.device)
 
     def propose(
         self,
@@ -247,7 +246,6 @@ class EagleProposer:
             positions = positions_cpu.to(device)
             attn_mask = self._make_attention_mask(
                 seq_lens=attn_metadata.seq_lens,
-                query_lens=attn_metadata.max_query_len,
                 position=positions,
             )
             attn_metadata.attn_mask = attn_mask