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import functools
import logging
from typing import Optional
import torch
from ... import config
log = logging.getLogger(__name__)
def get_cuda_arch() -> Optional[str]:
try:
cuda_arch = config.cuda.arch
if cuda_arch is None:
# Get Compute Capability of the first Visible device
major, minor = torch.cuda.get_device_capability(0)
return str(major * 10 + minor)
return str(cuda_arch)
except Exception as e:
log.error("Error getting cuda arch: %s", e)
return None
def get_cuda_version() -> Optional[str]:
try:
cuda_version = config.cuda.version
if cuda_version is None:
cuda_version = torch.version.cuda
return cuda_version
except Exception as e:
log.error("Error getting cuda version: %s", e)
return None
@functools.lru_cache(None)
def nvcc_exist(nvcc_path: str = "nvcc") -> bool:
if nvcc_path is None:
return False
import subprocess
res = subprocess.call(
["which", nvcc_path], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL
)
return res == 0
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