[CI] Enable FLASHCOMM1 with layer_sharding and FULL_DECODE_ONLY in ds32 testing (#6115)

### What this PR does / why we need it?

This PR enables FLASHCOMM1 communication optimization with layer
sharding for DeepSeek-V3.2 W8A8 model testing to
  validate PR #5702. The changes include:

  1. Enable FLASHCOMM1: Set VLLM_ASCEND_ENABLE_FLASHCOMM1=1
  improves performance for distributed inference
2. Add layer sharding: Configure layer_sharding: ["q_b_proj", "o_proj"]
4. Update baselines: Adjust performance baselines to reflect the
improvements from FLASHCOMM1 and layer sharding

### Does this PR introduce _any_ user-facing change?

No. This is a CI/test-only change that enables new communication
optimization features for testing purposes.

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
d68209402d

Signed-off-by: guozr <guozr1997@hotmail.com>
Co-authored-by: guozr <guozr1997@hotmail.com>

tests/e2e/nightly/multi_node/config/DeepSeek-V3_2-W8A8-A3-dual-nodes.yaml

@@ -11,7 +11,7 @@ env_common:
   OMP_PROC_BIND: false
   OMP_NUM_THREADS: 1
   PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"
-  VLLM_ASCEND_ENABLE_FLASHCOMM1: 0
+  VLLM_ASCEND_ENABLE_FLASHCOMM1: 1
   ASCEND_A3_EBA_ENABLE: 1
 
 
@@ -37,6 +37,7 @@ deployment:
       --trust-remote-code
       --speculative-config '{"num_speculative_tokens": 2, "method":"deepseek_mtp"}'
       --compilation-config '{"cudagraph_capture_sizes": [3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39, 42, 45, 48], "cudagraph_mode": "FULL_DECODE_ONLY"}' 
+      --additional-config '{"layer_sharding": ["q_b_proj", "o_proj"]}'
       --tokenizer-mode deepseek_v32
       --reasoning-parser deepseek_v3
 
@@ -61,6 +62,7 @@ deployment:
       --trust-remote-code
       --speculative-config '{"num_speculative_tokens": 2, "method":"deepseek_mtp"}'
       --compilation-config '{"cudagraph_capture_sizes": [3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39, 42, 45, 48], "cudagraph_mode": "FULL_DECODE_ONLY"}' 
+      --additional-config '{"layer_sharding": ["q_b_proj", "o_proj"]}'
       --tokenizer-mode deepseek_v32
       --reasoning-parser deepseek_v3
 benchmarks:
@@ -73,8 +75,9 @@ benchmarks:
     max_out_len: 3000
     batch_size: 512
     request_rate: 11.2
-    baseline: 905.6805
+    baseline: 1253.8466 
     threshold: 0.97
+    
   acc:
     case_type: accuracy
     dataset_path: vllm-ascend/gsm8k-lite