[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/engine/output_processor/util.py

@@ -0,0 +1,22 @@
+from typing import List
+from typing import Sequence as GenericSequence
+from typing import Union
+
+from vllm.model_executor.layers.sampler import SamplerOutput
+from vllm.sequence import PoolerOutput, SequenceGroupOutput
+
+
+def create_output_by_sequence_group(
+        outputs: GenericSequence[Union[SamplerOutput, PoolerOutput]],
+        num_seq_groups: int) -> List[List[SequenceGroupOutput]]:
+    """Helper method which transforms a 2d list organized by
+    [step][sequence group] into [sequence group][step].
+    """
+    output_by_sequence_group: List[List[SequenceGroupOutput]] = [
+        [] for _ in range(num_seq_groups)
+    ]
+    for step in outputs:
+        for i, sequence_group_output in enumerate(step):
+            output_by_sequence_group[i].append(sequence_group_output)
+
+    return output_by_sequence_group