[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/inputs/__init__.py

@@ -0,0 +1,44 @@
+from .data import (EncoderDecoderLLMInputs, ExplicitEncoderDecoderPrompt,
+                   LLMInputs, PromptType, SingletonPrompt, TextPrompt,
+                   TokensPrompt, build_explicit_enc_dec_prompt,
+                   to_enc_dec_tuple_list, zip_enc_dec_prompts)
+from .registry import InputContext, InputRegistry
+
+INPUT_REGISTRY = InputRegistry()
+"""
+The global :class:`~InputRegistry` which is used by :class:`~vllm.LLMEngine`
+to dispatch data processing according to the target model.
+
+See also:
+    :ref:`input_processing_pipeline`
+"""
+
+__all__ = [
+    "TextPrompt",
+    "TokensPrompt",
+    "PromptType",
+    "SingletonPrompt",
+    "ExplicitEncoderDecoderPrompt",
+    "LLMInputs",
+    "EncoderDecoderLLMInputs",
+    "build_explicit_enc_dec_prompt",
+    "to_enc_dec_tuple_list",
+    "zip_enc_dec_prompts",
+    "INPUT_REGISTRY",
+    "InputContext",
+    "InputRegistry",
+]
+
+
+def __getattr__(name: str):
+    if name == "PromptInput":
+        import warnings
+
+        msg = ("PromptInput has been renamed to PromptType. "
+               "The original name will be removed in an upcoming version.")
+
+        warnings.warn(DeprecationWarning(msg), stacklevel=2)
+
+        return PromptType
+
+    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")