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.
14 lines
367 B
Python
14 lines
367 B
Python
from dataclasses import dataclass
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from typing import Tuple
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@dataclass
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class AdapterMapping:
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# Per every token in input_ids:
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index_mapping: Tuple[int, ...]
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# Per sampled token:
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prompt_mapping: Tuple[int, ...]
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def __post_init__(self):
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self.index_mapping = tuple(self.index_mapping)
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self.prompt_mapping = tuple(self.prompt_mapping) |