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[Config] Remove Unused Environment Variable VLLM_DISABLE_PAD_FOR_CUDAGRAPH (#26743)

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Signed-off-by: yewentao256 <zhyanwentao@126.com>
This commit is contained in:
Wentao Ye
2025-10-14 11:47:49 -04:00
committed by GitHub
parent e6cdbd6792
commit 6d87a2838c
2 changed files with 0 additions and 8 deletions
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7
vllm/envs.py
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@ -198,7 +198,6 @@ if TYPE_CHECKING:
VLLM_USE_FLASHINFER_MOE_MXFP4_MXFP8_CUTLASS: bool = False
VLLM_ALLREDUCE_USE_SYMM_MEM: bool = True
VLLM_TUNED_CONFIG_FOLDER: str | None = None
VLLM_DISABLE_PAD_FOR_CUDAGRAPH: bool = False
VLLM_GPT_OSS_HARMONY_SYSTEM_INSTRUCTIONS: bool = False
VLLM_CUSTOM_SCOPES_FOR_PROFILING: bool = False
VLLM_NVTX_SCOPES_FOR_PROFILING: bool = False
@ -1304,12 +1303,6 @@ environment_variables: dict[str, Callable[[], Any]] = {
"VLLM_ENABLE_CUDAGRAPH_GC": lambda: bool(
int(os.getenv("VLLM_ENABLE_CUDAGRAPH_GC", "0"))
),
# Disable padding to CUDA graph capture batch sizes.
# TODO(wentao): https://github.com/vllm-project/vllm/issues/23378
# After the issue is fixed, we can remove this flag.
"VLLM_DISABLE_PAD_FOR_CUDAGRAPH": lambda: bool(
int(os.getenv("VLLM_DISABLE_PAD_FOR_CUDAGRAPH", "0"))
),
# Used to force set up loopback IP
"VLLM_LOOPBACK_IP": lambda: os.getenv("VLLM_LOOPBACK_IP", ""),
# Used to set the process name prefix for vLLM processes.

1
vllm/v1/worker/gpu_model_runner.py
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@ -2067,7 +2067,6 @@ class GPUModelRunner(LoRAModelRunnerMixin, KVConnectorModelRunnerMixin):
def _get_num_input_tokens(self, num_scheduled_tokens: int) -> int:
if (
self.compilation_config.cudagraph_mode != CUDAGraphMode.NONE
and not envs.VLLM_DISABLE_PAD_FOR_CUDAGRAPH
and hasattr(self, "cudagraph_batch_sizes")
and self.cudagraph_batch_sizes
and num_scheduled_tokens <= self.cudagraph_batch_sizes[-1]