class_docstr: Accelerator for NVIDIA CUDA devices.
class_docstr_tok: ["Accelerator","for","NVIDIA","CUDA","devices","."]
code: def is_available() -> bool:
      return num_cuda_devices() > 0
  
imports: import os
  import warnings
  from contextlib import contextmanager
  from functools import lru_cache
  from typing import Generator, List, Optional, Union, cast
  import torch
  from typing_extensions import override
  from lightning.fabric.accelerators.accelerator import Accelerator
  from lightning.fabric.accelerators.registry import _AcceleratorRegistry
  from lightning.fabric.utilities.imports import _TORCH_GREATER_EQUAL_2_0
  from lightning.fabric.utilities.rank_zero import rank_zero_info
label_desc: Use image node_id 6 for calling the CUDAAccelerator obj's underlying member method code with example usage: obj.is_available() and returns: unknown