fix(build): 回退到comp168(2d5232c)——唯一确认docker build成功的版本

Dockerfile: comp168结构 (2 COPY + 1 RUN, 无ex_engine, 无CUDA编译)
qwen3_6_scripts/: comp168内容 (31文件, 141行patch_ops.sh)
computility-run.yaml: max_model_len=100000 (comp168=100000, 避免replay 400拒绝)

comp168得分: functional=0.923, replay=60194, total=60194
改动: 只有yaml的max_model_len从comp168的100000保持不变

qwen3_6_scripts/patch_model_runner.py

@@ -1,78 +0,0 @@
-"""
-Fix: prefix_cache_hit stays True for chunked-prefill chunk 2+ even when past cache.
-
-Root cause:
-  model_runner.py _compute_for_prefix_cache_hit has three cases:
-    Case 1: prefix_cache_len <= context_len  → "already past cache, do normal"
-    Case 2: context_len < prefix_cache_len < seq_len  → partial hit, correct
-    Case 3: seq_len <= prefix_cache_len  → full hit, reduce to 1 token
-
-  Case 1 does nothing (leaves prefix_cache_hit = True). Then in utils.py:
-    if inter_data.prefix_cache_hit:
-        block_table = computed_block_nums   ← ONLY the original prefix blocks!
-
-  But context_len > prefix_cache_len means chunk 1 tokens (between prefix_cache_len
-  and context_len) are ALSO in KV cache and need to be in block_table.
-  block_table = computed_block_nums misses all chunk-1 blocks.
-
-  In _forward_prefix_pytorch:
-    num_ctx_blocks = ceil(context_len / block_size)  # e.g. 268
-    block_tables.shape[1] = len(computed_block_nums)  # e.g. 12  <-- too small!
-    At tile_blk >= 12: blk_ids is empty → k_t shape [..., 0] → amax crash.
-
-Fix:
-  Set prefix_cache_hit = False for Case 1, so utils.py falls through to:
-    elif chunked_prefill_enabled:
-        block_table = block_tables[seq_id]   ← full block table (prefix + chunk1)
-"""
-
-import re
-import sys
-
-CANDIDATE_PATHS = [
-    "/usr/local/corex/lib64/python3/dist-packages/vllm/worker/model_runner.py",
-    "/usr/local/corex/lib/python3/dist-packages/vllm/worker/model_runner.py",
-]
-
-OLD_BLOCK = """\
-        if prefix_cache_len <= context_len:
-            # We already passed the cache hit region,
-            # so do normal computation.
-            pass"""
-
-NEW_BLOCK = """\
-        if prefix_cache_len <= context_len:
-            # We already passed the cache hit region,
-            # so do normal computation.
-            # Must clear prefix_cache_hit so _add_seq_group uses the full
-            # block_tables (prefix + previous-chunk blocks) instead of only
-            # computed_block_nums (prefix only).  Without this, block_tables
-            # passed to _forward_prefix_pytorch is too narrow for context_len,
-            # causing an empty blk_ids slice and a zero-dim amax() crash.
-            inter_data.prefix_cache_hit = False"""
-
-import os
-
-patched = False
-for path in CANDIDATE_PATHS:
-    if not os.path.exists(path):
-        continue
-    with open(path, "r") as f:
-        src = f.read()
-    if OLD_BLOCK not in src:
-        if NEW_BLOCK in src:
-            print(f"[patch_model_runner] already patched: {path}")
-            patched = True
-            break
-        print(f"[patch_model_runner] WARNING: expected block not found in {path}, skipping")
-        continue
-    patched_src = src.replace(OLD_BLOCK, NEW_BLOCK, 1)
-    with open(path, "w") as f:
-        f.write(patched_src)
-    print(f"[patch_model_runner] patched Case-1 prefix_cache_hit fix in: {path}")
-    patched = True
-    break
-
-if not patched:
-    print("[patch_model_runner] ERROR: could not find model_runner.py at any known path", file=sys.stderr)
-    sys.exit(1)