[v0.18.0][Bugfix] fix ds3.2 dcp mtp (#7681)

### What this PR does / why we need it?
Fixed the issue where the DCP overlaps the MTP scenario in the ds3.2
scenario.

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

### How was this patch tested?

cherry-pick from: https://github.com/vllm-project/vllm-ascend/pull/7617

Signed-off-by: weiguihua2 <weiguihua2@huawei.com>

vllm_ascend/attention/sfa_v1.py

@@ -130,6 +130,7 @@ class AscendSFAMetadata:
     num_actual_tokens: int  # Number of tokens excluding padding.
     slot_mapping: torch.Tensor
     seq_lens: torch.Tensor
+    seq_lens_cpu: torch.Tensor
     cum_query_lens: torch.Tensor
     block_table: torch.Tensor
     sin: torch.Tensor
@@ -233,6 +234,7 @@ class AscendSFAMetadataBuilder(MLACommonMetadataBuilder[AscendSFAMetadata]):
 
         cum_query_lens = common_attn_metadata.query_start_loc[1 : num_reqs + 1]
         seq_lens = common_attn_metadata.seq_lens[:num_reqs]
+        seq_lens_cpu = common_attn_metadata.seq_lens_cpu[:num_reqs]
 
         cos, sin = get_cos_and_sin_mla(input_positions, True)
 
@@ -320,6 +322,7 @@ class AscendSFAMetadataBuilder(MLACommonMetadataBuilder[AscendSFAMetadata]):
             num_actual_tokens=num_actual_tokens,
             cum_query_lens=cum_query_lens,
             seq_lens=seq_lens,
+            seq_lens_cpu=seq_lens_cpu,
             slot_mapping=slot_mapping,
             head_dim=self.model_config.get_head_size(),
             attn_mask=self.attn_mask_builder.get_attention_mask(self.model_config),