vllm-project/vllm · error · RuntimeError
Failed to infer device type, please set the environment vari
Error message
Failed to infer device type, please set the environment variable `VLLM_LOGGING_LEVEL=DEBUG` to turn on verbose logging to help debug the issue.
What it means
Error "Failed to infer device type, please set the environment variable `VLLM_LOGGING_LEVEL=DEBUG` to turn on verbose logging to help debug the issue." thrown in vllm-project/vllm.
Source
Thrown at vllm/config/device.py:56
graph from input ids/embeddings to the final hidden states,
excluding anything before input ids/embeddings and after
the final hidden states.
"""
# no factors to consider.
# the device/platform information will be summarized
# by torch/vllm automatically.
factors: list[Any] = []
hash_str = safe_hash(str(factors).encode(), usedforsecurity=False).hexdigest()
return hash_str
def __post_init__(self):
if self.device == "auto":
# Automated device type detection
from vllm.platforms import current_platform
self.device_type = current_platform.device_type
if not self.device_type:
raise RuntimeError(
"Failed to infer device type, please set "
"the environment variable `VLLM_LOGGING_LEVEL=DEBUG` "
"to turn on verbose logging to help debug the issue."
)
else:
# Device type is assigned explicitly
if isinstance(self.device, str):
self.device_type = self.device
elif isinstance(self.device, torch.device):
self.device_type = self.device.type
# Some platforms require processing inputs on CPU.
from vllm.platforms import current_platform
if (
current_platform.uses_host_device_handling()
and self.device_type == current_platform.device_type
):View on GitHub (pinned to c794754062)
Solutions
- Set VLLM_LOGGING_LEVEL=DEBUG and rerun to see why device type detection failed.
- Explicitly select the device (e.g. --device cuda) or ensure the required platform drivers are installed.
When it happens
Trigger: Raised at vllm/config/device.py:56 when validation fails: Failed to infer device type. Typically triggered by an incompatible or incomplete vLLM configuration, an unsupported platform/backend combination, or a runtime resource/dependency that is missing.
Common situations: Commonly encountered at vllm/config/device.py:56 during vLLM startup/config validation or runtime setup when: (1) conflicting CLI flags or config fields are combined, (2) the current platform (CUDA/ROCm/CPU/XPU) or installed optional packages do not support the requested feature, or (3) a required value is absent or out of range. Resolve by correcting the configuration as described in the message, or by selecting a supported alternative.
AI-assisted analysis of vllm-project/vllm@c794754062 (2026-08-14).
Data as JSON: /api/errors/79afd0b8672ae0c2.
Report an issue: GitHub.