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.
23 lines
531 B
Python
23 lines
531 B
Python
from contextlib import contextmanager
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from typing import Any
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_forward_context: Any = None
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def get_forward_context() -> Any:
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"""Get the current forward context."""
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return _forward_context
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@contextmanager
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def set_forward_context(context: Any):
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"""A context manager that stores the current forward context,
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can be attention metadata, etc."""
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global _forward_context
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prev_context = _forward_context
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_forward_context = context
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try:
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yield
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finally:
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_forward_context = prev_context
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