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.
45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
from .data import (EncoderDecoderLLMInputs, ExplicitEncoderDecoderPrompt,
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LLMInputs, PromptType, SingletonPrompt, TextPrompt,
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TokensPrompt, build_explicit_enc_dec_prompt,
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to_enc_dec_tuple_list, zip_enc_dec_prompts)
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from .registry import InputContext, InputRegistry
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INPUT_REGISTRY = InputRegistry()
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"""
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The global :class:`~InputRegistry` which is used by :class:`~vllm.LLMEngine`
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to dispatch data processing according to the target model.
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See also:
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:ref:`input_processing_pipeline`
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"""
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__all__ = [
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"TextPrompt",
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"TokensPrompt",
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"PromptType",
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"SingletonPrompt",
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"ExplicitEncoderDecoderPrompt",
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"LLMInputs",
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"EncoderDecoderLLMInputs",
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"build_explicit_enc_dec_prompt",
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"to_enc_dec_tuple_list",
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"zip_enc_dec_prompts",
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"INPUT_REGISTRY",
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"InputContext",
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"InputRegistry",
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]
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def __getattr__(name: str):
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if name == "PromptInput":
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import warnings
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msg = ("PromptInput has been renamed to PromptType. "
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"The original name will be removed in an upcoming version.")
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warnings.warn(DeprecationWarning(msg), stacklevel=2)
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return PromptType
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raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
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