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.
37 lines
889 B
Python
37 lines
889 B
Python
from abc import ABC, abstractmethod
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from typing import Any, Optional, Set
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import torch
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class AbstractWorkerManager(ABC):
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def __init__(self, device: torch.device):
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self.device = device
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@property
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@abstractmethod
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def is_enabled(self) -> bool:
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raise NotImplementedError
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@abstractmethod
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def set_active_adapters(self, requests: Set[Any],
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mapping: Optional[Any]) -> None:
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raise NotImplementedError
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@abstractmethod
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def add_adapter(self, adapter_request: Any) -> bool:
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raise NotImplementedError
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@abstractmethod
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def remove_adapter(self, adapter_id: int) -> bool:
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raise NotImplementedError
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@abstractmethod
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def remove_all_adapters(self) -> None:
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raise NotImplementedError
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@abstractmethod
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def list_adapters(self) -> Set[int]:
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raise NotImplementedError
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