[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/plugins/__init__.py

@@ -0,0 +1,56 @@
+import logging
+from typing import Callable, Dict, Optional, Union
+
+import vllm.envs as envs
+
+logger = logging.getLogger(__name__)
+
+
+def load_general_plugins():
+    """WARNING: plugins can be loaded for multiple times in different
+    processes. They should be designed in a way that they can be loaded
+    multiple times without causing issues.
+    """
+    import sys
+    if sys.version_info < (3, 10):
+        from importlib_metadata import entry_points
+    else:
+        from importlib.metadata import entry_points
+
+    allowed_plugins = envs.VLLM_PLUGINS
+
+    discovered_plugins = entry_points(group='vllm.general_plugins')
+    for plugin in discovered_plugins:
+        logger.info("Found general plugin: %s", plugin.name)
+        if allowed_plugins is None or plugin.name in allowed_plugins:
+            try:
+                func = plugin.load()
+                func()
+                logger.info("Loaded general plugin: %s", plugin.name)
+            except Exception:
+                logger.exception("Failed to load general plugin: %s",
+                                 plugin.name)
+
+
+_torch_compile_backend: Optional[Union[Callable, str]] = None
+
+
+def set_torch_compile_backend(backend: Union[Callable, str]):
+    global _torch_compile_backend
+    _torch_compile_backend = backend
+
+
+def get_torch_compile_backend() -> Optional[Union[Callable, str]]:
+    return _torch_compile_backend
+
+
+_inductor_additional_configs: Dict = {}
+
+
+def set_inductor_additional_configs(configs: Dict):
+    global _inductor_additional_configs
+    _inductor_additional_configs = configs
+
+
+def get_inductor_additional_configs() -> Dict:
+    return _inductor_additional_configs