0ea77690a0a3a6ff2080fc67f445adf9efb2ac94
Root cause of ALL failures: we overwrite base image's production code with our inferior versions, breaking multimodal, killing C++ kernel performance, and causing engine death. Comp 168 evidence (48/52 pass, score=60194): - Uses base image qwen3_5.py (81706B) with full multimodal + CoreX integration - Uses base image corex_gdn/moe/fa2.py with real C++ kernels (libcorex_gdn.so) - Uses base image _custom_ops.py (ERROR spam is harmless) - d01: 8.49s, d05 multimodal: PASS, t13 base64 image: PASS Our sub 508 (21/52 pass, score=0): - Overwrites qwen3_5.py → NO multimodal → engine death on image request - Overwrites corex_*.py → Python fallback → d01: 95.87s (11x slower) - Overwrites _custom_ops.py → may break base fallback chain Changes: 1. patch_ops.sh: qwen3_5.py — KEEP base if >1000 bytes (was: ALWAYS overwrite) 2. patch_ops.sh: corex_*.py — KEEP base if >500 bytes (was: ALWAYS overwrite) 3. patch_ops.sh: _custom_ops.py — KEEP base always (was: ALWAYS overwrite) 4. computility-run.yaml: match comp 168 exactly: - max_model_len: 80000 → 256000 - gpu_memory_utilization: 0.95 → 0.9 - max_num_seqs: 2 → 1 - REMOVE chunked_prefill + batched_tokens - REMOVE limit-mm-per-prompt (base image handles it)
project_6
Description
Languages
C++
41.8%
Cuda
31.6%
Python
22.2%
C
2.1%
CMake
1.1%
Other
1.1%