[DEPLOY] Complete submission: baseline + all optimizations

Adds ALL files needed for Dockerfile build:
  - qwen3_6_scripts/ (baseline patches + our optimizations)
  - vllm/ (full vllm package)
  - paged_attention_v2_pytorch.py (V2 with single-bmm optimization)
  - Dockerfile + computility-run.yaml

Our optimizations vs baseline:
  1. paged_attn.py: pre-gathered context KV (eliminates 194 gather calls),
     Triton try/fallback, V2 heuristic, threshold 32K→64K
  2. paged_attention_v2_pytorch.py: fills NotImplementedError,
     single-bmm Phase 1 (195 launches → 3)
  3. patch_enable_triton.py: HAS_TRITON=True with safety fallback
  4. patch_triton_tuning.py: BLOCK=64, NUM_WARPS=4 for BI-V100
  5. computility-run.yaml: gpu-memory-utilization 0.9→0.95,
     max-num-batched-tokens 8192→16384

This repo can now be submitted to dev.modelhub.org.cn as-is.

vllm/prompt_adapter/request.py

@@ -0,0 +1,34 @@
+import msgspec
+
+from vllm.adapter_commons.request import AdapterRequest
+
+
+class PromptAdapterRequest(
+        msgspec.Struct,
+        array_like=True,  # type: ignore[call-arg]
+        omit_defaults=True,  # type: ignore[call-arg]
+        frozen=True):  # type: ignore[call-arg]
+    """
+    Request for a Prompt adapter.
+    """
+    __metaclass__ = AdapterRequest
+
+    prompt_adapter_name: str
+    prompt_adapter_id: int
+    prompt_adapter_local_path: str
+    prompt_adapter_num_virtual_tokens: int
+
+    def __hash__(self):
+        return super().__hash__()
+
+    @property
+    def adapter_id(self):
+        return self.prompt_adapter_id
+
+    @property
+    def name(self):
+        return self.prompt_adapter_name
+
+    @property
+    def local_path(self):
+        return self.prompt_adapter_local_path