[main] flashcomm_v1 optim in Qwen Dense Models (#2802)

### What this PR does / why we need it?
Flashcomm_v1 optim in Qwen Dense Models.

### 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:
5e537f45b4

Co-authored-by: 1024daniel <xxltju324@gmail.com>

vllm_ascend/ops/layernorm.py

@@ -44,6 +44,13 @@ class AddRMSNormW8A8Quant(RMSNorm):
         import torch_npu
 
         if residual is not None:
+            # FIXME(rjg-lyh): This is a hacky way to chunk residuals when the flashcomm_v1 feature
+            # is enabled, without interfering with the normal operation of components like torchair.
+            # The final solution should be to move this check into the operator and support
+            # integration with torchair.
+            if x.size(0) != residual.size(0):
+                residual = torch.ops.vllm.maybe_chunk_residual(x, residual)
+            assert x.size(0) == residual.size(0)
             x, _, residual = torch_npu.npu_add_rms_norm_quant(
                 x,
                 residual,
@@ -69,6 +76,13 @@ class AscendRMSNorm(RMSNorm):
 
         from vllm_ascend.utils import is_310p
         if residual is not None:
+            # FIXME(rjg-lyh): This is a hacky way to chunk residuals when the flashcomm_v1 feature
+            # is enabled, without interfering with the normal operation of components like torchair.
+            # The final solution should be to move this check into the operator and support
+            # integration with torchair.
+            if x.size(0) != residual.size(0):
+                residual = torch.ops.vllm.maybe_chunk_residual(x, residual)
+            assert x.size(0) == residual.size(0)
             if is_310p():
                 orig_dtype = residual.dtype
                 x = x + residual.to(x.dtype)