ef6abf3dc7
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.
80 lines
2.5 KiB
Python
80 lines
2.5 KiB
Python
"""
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Patches vLLM 0.6.3 to register Qwen3CoderToolParser under the name "qwen3_coder".
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Deploy steps on the remote machine (already called by patch_ops.sh):
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1. cp qwen3coder_tool_parser.py \
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/usr/local/corex/lib/python3/dist-packages/vllm/entrypoints/openai/tool_parsers/
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2. python3 patch_vllm_tool_parser.py
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Usage after patching:
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--tool-call-parser qwen3_coder --enable-auto-tool-choice
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"""
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import os
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VLLM_ROOT = "/usr/local/corex/lib/python3/dist-packages/vllm"
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TOOL_PARSERS_DIR = f"{VLLM_ROOT}/entrypoints/openai/tool_parsers"
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INIT_FILE = f"{TOOL_PARSERS_DIR}/__init__.py"
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def patch_file(path, replacements):
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with open(path, "r") as f:
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content = f.read()
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patched = False
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for old, new in replacements:
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if new in content:
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print(f" [skip] already patched: {repr(new[:70])}")
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continue
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if old not in content:
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print(f" [warn] anchor not found: {repr(old[:70])}")
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continue
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content = content.replace(old, new, 1)
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patched = True
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print(f" [ok] patched: {repr(old[:50])} -> {repr(new[:50])}")
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if patched:
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with open(path, "w") as f:
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f.write(content)
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def main():
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if not os.path.isdir(TOOL_PARSERS_DIR):
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raise FileNotFoundError(
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f"Tool parsers directory not found: {TOOL_PARSERS_DIR}\n"
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"Verify the vLLM installation path.")
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print(f"=== Patching {INIT_FILE} ===")
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patch_file(INIT_FILE, [
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(
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"from .mistral_tool_parser import MistralToolParser",
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"from .mistral_tool_parser import MistralToolParser\n"
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"from .qwen3coder_tool_parser import Qwen3CoderToolParser",
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),
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(
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'"MistralToolParser", "Internlm2ToolParser", "Llama3JsonToolParser"\n]',
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'"MistralToolParser", "Internlm2ToolParser", "Llama3JsonToolParser",\n'
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' "Qwen3CoderToolParser"\n]',
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),
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])
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print("\n=== Verification ===")
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try:
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import importlib.util
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spec = importlib.util.spec_from_file_location(
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"qwen3coder_tool_parser",
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f"{TOOL_PARSERS_DIR}/qwen3coder_tool_parser.py",
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)
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mod = importlib.util.module_from_spec(spec)
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print(f" Module spec loaded: {spec.name}")
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print(" (full import requires torch/vllm runtime — skipping exec)")
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except Exception as e:
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print(f" [warn] spec check failed: {e}")
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print("\nDone. Start vLLM server with:")
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print(" --tool-call-parser qwen3_coder --enable-auto-tool-choice")
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if __name__ == "__main__":
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main()
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