File size: 958 Bytes
dbc3c35 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | from typing import Any
def detect_accelerator() -> dict[str, Any]:
try:
import torch
except Exception as exc:
return {
"torch_available": False,
"cuda_api_available": False,
"rocm_hip_version": None,
"device_name": None,
"error": str(exc),
}
cuda_available = bool(torch.cuda.is_available())
device_name = torch.cuda.get_device_name(0) if cuda_available else None
return {
"torch_available": True,
"cuda_api_available": cuda_available,
"rocm_hip_version": getattr(torch.version, "hip", None),
"cuda_version": getattr(torch.version, "cuda", None),
"device_name": device_name,
"device_count": torch.cuda.device_count() if cuda_available else 0,
}
def torch_device_index() -> int:
try:
import torch
except Exception:
return -1
return 0 if torch.cuda.is_available() else -1
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