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[Minor] Remove unused env variable (#27161)

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Woosuk Kwon 2025-10-18 18:48:35 -07:00 committed by GitHub
parent 83e760c57d
commit fb860670da
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1 changed files with 0 additions and 18 deletions
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vllm/envs.py
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@ -42,7 +42,6 @@ if TYPE_CHECKING:
VLLM_LOGGING_PREFIX: str = "" VLLM_LOGGING_PREFIX: str = ""
VLLM_LOGGING_STREAM: str = "ext://sys.stdout" VLLM_LOGGING_STREAM: str = "ext://sys.stdout"
VLLM_LOGGING_CONFIG_PATH: str | None = None VLLM_LOGGING_CONFIG_PATH: str | None = None
VLLM_LOGITS_PROCESSOR_THREADS: int | None = None
VLLM_LOG_STATS_INTERVAL: float = 10.0 VLLM_LOG_STATS_INTERVAL: float = 10.0
VLLM_TRACE_FUNCTION: int = 0 VLLM_TRACE_FUNCTION: int = 0
VLLM_ATTENTION_BACKEND: str | None = None VLLM_ATTENTION_BACKEND: str | None = None
@ -142,7 +141,6 @@ if TYPE_CHECKING:
VLLM_RAY_DP_PACK_STRATEGY: Literal["strict", "fill", "span"] = "strict" VLLM_RAY_DP_PACK_STRATEGY: Literal["strict", "fill", "span"] = "strict"
VLLM_MARLIN_USE_ATOMIC_ADD: bool = False VLLM_MARLIN_USE_ATOMIC_ADD: bool = False
VLLM_MXFP4_USE_MARLIN: bool | None = None VLLM_MXFP4_USE_MARLIN: bool | None = None
VLLM_V0_USE_OUTLINES_CACHE: bool = False
VLLM_V1_USE_OUTLINES_CACHE: bool = False VLLM_V1_USE_OUTLINES_CACHE: bool = False
VLLM_TPU_BUCKET_PADDING_GAP: int = 0 VLLM_TPU_BUCKET_PADDING_GAP: int = 0
VLLM_TPU_MOST_MODEL_LEN: int | None = None VLLM_TPU_MOST_MODEL_LEN: int | None = None
@ -567,15 +565,6 @@ environment_variables: dict[str, Callable[[], Any]] = {
"VLLM_LOGGING_STREAM": lambda: os.getenv("VLLM_LOGGING_STREAM", "ext://sys.stdout"), "VLLM_LOGGING_STREAM": lambda: os.getenv("VLLM_LOGGING_STREAM", "ext://sys.stdout"),
# if set, VLLM_LOGGING_PREFIX will be prepended to all log messages # if set, VLLM_LOGGING_PREFIX will be prepended to all log messages
"VLLM_LOGGING_PREFIX": lambda: os.getenv("VLLM_LOGGING_PREFIX", ""), "VLLM_LOGGING_PREFIX": lambda: os.getenv("VLLM_LOGGING_PREFIX", ""),
# if set, vllm will call logits processors in a thread pool with this many
# threads. This is useful when using custom logits processors that either
# (a) launch additional CUDA kernels or (b) do significant CPU-bound work
# while not holding the python GIL, or both.
"VLLM_LOGITS_PROCESSOR_THREADS": lambda: int(
os.getenv("VLLM_LOGITS_PROCESSOR_THREADS", "0")
)
if "VLLM_LOGITS_PROCESSOR_THREADS" in os.environ
else None,
# If set, vllm will log stats at this interval in seconds # If set, vllm will log stats at this interval in seconds
# If not set, vllm will log stats every 10 seconds. # If not set, vllm will log stats every 10 seconds.
"VLLM_LOG_STATS_INTERVAL": lambda: val "VLLM_LOG_STATS_INTERVAL": lambda: val
@ -1066,13 +1055,6 @@ environment_variables: dict[str, Callable[[], Any]] = {
"VLLM_MXFP4_USE_MARLIN": lambda: maybe_convert_bool( "VLLM_MXFP4_USE_MARLIN": lambda: maybe_convert_bool(
os.environ.get("VLLM_MXFP4_USE_MARLIN", None) os.environ.get("VLLM_MXFP4_USE_MARLIN", None)
), ),
# Whether to turn on the outlines cache for V0
# This cache is unbounded and on disk, so it's not safe to use in
# an environment with potentially malicious users.
"VLLM_V0_USE_OUTLINES_CACHE": lambda: os.environ.get(
"VLLM_V0_USE_OUTLINES_CACHE", "0"
)
== "1",
# Whether to turn on the outlines cache for V1 # Whether to turn on the outlines cache for V1
# This cache is unbounded and on disk, so it's not safe to use in # This cache is unbounded and on disk, so it's not safe to use in
# an environment with potentially malicious users. # an environment with potentially malicious users.