f87689a4ef
Root cause from latest docker build log: ValueError: You set image=0 in --limit-mm-per-prompt, but found 1 items → Engine background task crashes → AsyncEngineDeadError → all subsequent 503 Fixes: 1. computility-run.yaml: add --limit-mm-per-prompt image=1 Prevents multimodal ValueError from killing the engine process. 2. patch_ops.sh: DON'T overwrite base image's corex_gdn.py/corex_moe.py Comp 168 log proves base image's corex modules work with libcorex_gdn.so. Our overwrite broke CoreXGDN.__init__ (unexpected kwarg 'num_v_heads'). Only deploy ours if base has NO corex modules at all. Also deploy corex_fa2.py if base lacks it. 3. qwen3_5.py: try multiple CoreXGDN init signatures Base image CoreXGDN may accept different kwargs than ours. Try kwargs form first, fall back to positional. 4. corex_gdn.py: accept both calling conventions in __init__ Future-proof for when we DO need to deploy ours. 5. Copied upstream_ref headers: ilu_layer_fused_moe.h, ilu_layer_attention.h Last 2 missing ILU files from xllm. All 14/14 now present.
52 lines
1.3 KiB
YAML
52 lines
1.3 KiB
YAML
concurrency: 1
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command:
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- python3
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- -m
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- vllm.entrypoints.openai.api_server
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- --model
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- /model
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- --served-model-name
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- llm
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- --max-model-len
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- '80000'
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- --gpu-memory-utilization
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- '0.95'
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- --trust-remote-code
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- -tp
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- '4'
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- --max-num-seqs
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- '2'
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- --max-num-batched-tokens
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- '4096'
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- --enable-chunked-prefill
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- --disable-log-requests
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- --disable-frontend-multiprocessing
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- --enforce-eager
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- --enable-auto-tool-choice
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- --tool-call-parser
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- qwen3_coder
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- --reasoning-parser
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- qwen3
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- --enable-prefix-caching
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- --max-seq-len-to-capture
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- '8192'
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- --dtype
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- half
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- --limit-mm-per-prompt
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- image=1
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env:
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- name: VLLM_ENGINE_ITERATION_TIMEOUT_S
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value: '3600'
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- name: VLLM_ATTENTION_BACKEND
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value: XFORMERS
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- name: ENABLE_CUSTOM_IPC
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value: '1'
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- name: PYTHONPATH
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value: /usr/local/corex/lib/python3/dist-packages:/usr/local/corex/lib64/python3/dist-packages
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- name: LD_LIBRARY_PATH
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value: /usr/local/corex/lib64:/usr/local/openmpi/lib:/usr/local/corex/lib64/python3/dist-packages/ixformer
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- name: PYTORCH_CUDA_ALLOC_CONF
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value: max_split_size_mb:512
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- name: OMP_NUM_THREADS
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value: '1'
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