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Disable outlines cache by default (#14837)
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@ -95,6 +95,7 @@ if TYPE_CHECKING:
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VLLM_DP_MASTER_IP: str = ""
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VLLM_DP_MASTER_PORT: int = 0
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VLLM_MARLIN_USE_ATOMIC_ADD: bool = False
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VLLM_V0_USE_OUTLINES_CACHE: bool = False
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def get_default_cache_root():
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@ -623,6 +624,12 @@ environment_variables: dict[str, Callable[[], Any]] = {
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# Whether to use atomicAdd reduce in gptq/awq marlin kernel.
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"VLLM_MARLIN_USE_ATOMIC_ADD":
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lambda: os.environ.get("VLLM_MARLIN_USE_ATOMIC_ADD", "0") == "1",
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# Whether to turn on the outlines cache for V0
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# This cache is unbounded and on disk, so it's not safe to use in
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# an environment with potentially malicious users.
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"VLLM_V0_USE_OUTLINES_CACHE":
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lambda: os.environ.get("VLLM_V0_USE_OUTLINES_CACHE", "0") == "1",
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}
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# end-env-vars-definition
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@ -24,7 +24,7 @@ from typing import Callable, DefaultDict, Dict, List, Optional, Union
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import numpy as np
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import torch
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from outlines import grammars
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from outlines.caching import cache
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from outlines.caching import cache, disable_cache
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from outlines.fsm.guide import (CFGGuide, CFGState, Generate, Guide,
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RegexGuide, Write)
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from outlines.fsm.parsing import PartialLark
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@ -32,12 +32,20 @@ from outlines_core.fsm.json_schema import build_regex_from_schema
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from pydantic import BaseModel
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from transformers import PreTrainedTokenizerBase
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import vllm.envs as envs
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from vllm.logger import init_logger
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from vllm.model_executor.guided_decoding.reasoner import Reasoner
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from vllm.platforms import current_platform
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logger = init_logger(__name__)
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if envs.VLLM_V0_USE_OUTLINES_CACHE:
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logger.warning("Enabling outlines cache. This is an unbounded on-disk "
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"cache. It may consume a lot of disk space and should "
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"not be used with untrusted clients.")
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else:
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disable_cache()
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class BaseLogitsProcessor:
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