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.
24 lines
578 B
Python
24 lines
578 B
Python
from abc import ABC, abstractmethod
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class AdapterRequest(ABC):
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"""
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Base class for adapter requests.
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"""
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@property
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@abstractmethod
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def adapter_id(self) -> int:
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raise NotImplementedError
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def __post_init__(self) -> None:
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if self.adapter_id < 1:
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raise ValueError(f"id must be > 0, got {self.adapter_id}")
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def __eq__(self, value: object) -> bool:
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return isinstance(
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value, self.__class__) and self.adapter_id == value.adapter_id
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def __hash__(self) -> int:
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return hash(self.adapter_id)
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