[Feature] Support Flash Comm V1 for VL models (with MLA) (#7390)

## Summary

Flash Comm V1 (flashcomm1) was previously blocked for all VL models.

**Root cause:** For VL models, `inputs_embeds` at layer 0 originates
from the vision encoder as a full `[N, H]` tensor — it has **not** been
reduce-scattered across TP ranks. The original MLA forward path assumed
inputs were already scattered, producing wrong output shapes under TP >
1.

**Fix:**
- Detect at init time (statically, not via runtime shape checks) whether
a layer is the first layer of a VL model (`is_vl_first_layer`) so dynamo
treats the branch as a constant.
- In `AscendMultiHeadLatentAttention.forward`, when `flashcomm1 + TP > 1
+ is_vl_first_layer`, set `need_gather_q_kv=False` and pre-allocate
output as `[N//tp_size, H]`.
- Remove the platform-level assertion that prevented VL models from
enabling Flash Comm V1.

**Other improvements:**
- `is_vl_model()` now uses vllm's canonical detection (`hf_config is not
hf_text_config`) instead of fragile key-name checks, with the old checks
kept as fallback.
- Added `parse_layer_idx(prefix)` utility.
- Added `maybe_chunk_residual` call in `AscendRMSNorm` before the
add-rms-norm op.
- Removed unnecessary CPU/fp32 round-trip in
  `AscendLearnable2DInterpPosEmbDivided_fixed.forward()`.
- vLLM version: v0.17.0
- vLLM main:
4034c3d32e

---------

Signed-off-by: SlightwindSec <slightwindsec@gmail.com>
Co-authored-by: LoganJane <loganJane73@hotmail.com>

vllm_ascend/platform.py

@@ -42,7 +42,6 @@ from vllm_ascend.utils import (
     flashcomm2_enable,
     get_ascend_device_type,
     is_moe_model,
-    is_vl_model,
     refresh_block_size,
     update_aclgraph_sizes,
     update_cudagraph_capture_sizes,
@@ -420,11 +419,6 @@ class NPUPlatform(Platform):
             vllm_config.parallel_config.cp_kv_cache_interleave_size = cache_config.block_size
 
         if enable_sp(vllm_config):
-            assert not is_vl_model(vllm_config), """Flash Comm V1 is not supported for VL models. \
-                Please disable it by setting VLLM_ASCEND_ENABLE_FLASHCOMM1=0. \
-                For optimal performance with VL models, we recommend enabling Sequence Parallelism \
-                via --compilation-config '{"pass_config": {"enable_sp": true}}'."""
-
             assert vllm_config.parallel_config.tensor_parallel_size > 1, (
                 "Flash Comm v1 is only supported when tp_size > 1."
             )