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
