CRITICAL: patch_ops.sh deploys qwen3_6_scripts/ files, NOT vllm/ files.
Previous bugfix only fixed vllm/worker/model_runner.py but the DEPLOYED
version (qwen3_6_scripts/model_runner.py) still had the bug.
Fix: max_decode_seq_len=max_encoder_seq_len → max_decode_seq_len=max_decode_seq_len
This ensures CUDA graph capture correctly checks actual decode sequence
length, not the encoder length (which is 0 for decoder-only Qwen3.6).
Discovery from reading CCCL adjacent_difference custom_policy_hub test:
the test showed that custom policy hubs OVERRIDE defaults. Our project
has the same pattern: qwen3_6_scripts/ overrides vllm/ via patch_ops.sh.
Therefore ALL fixes must go to qwen3_6_scripts/ to survive deployment.
CCCL file: cub/test/catch2_test_device_adjacent_difference_custom_policy_hub.cu
Deleted approach: patch_model_runner.py, patch_xformers_sdpa_seq.py did
blind string replacement on base image files without reading full context.
New approach: read complete base source files from vllm/, apply fixes with
full context understanding, output complete modified files to qwen3_6_scripts/.
Files now replaced as complete copies (not patched):
- model_runner.py (1932 lines): prefix_cache_hit=False for Case 1
- xformers.py (821+80 lines): _run_sdpa_fallback + head_size>128 dispatch
- arg_utils.py (1143 lines): disable auto chunked-prefill for 32K+
- logits_processor.py (157 lines): seq_groups=None guard
patch_ops.sh rewritten: all python3 ./patch_*.py calls replaced with cp.
Remaining python3 calls: patch_transformers_qwen3_5.py, patch_vllm_qwen3_5.py,
patch_vllm_tool_parser.py — these register new model/parser classes in
__init__.py files, which is additive (not modification of existing code).
