class_docstr: Accelerator for CPU devices.
class_docstr_tok: ["Accelerator","for","CPU","devices","."]
docstr: CPU is always available for execution.
docstr_tok: ["CPU","is","always","available","for","execution","."]
code: def is_available() -> bool:
      """CPU is always available for execution."""
      return True
  
imports: from typing import Any, Dict, List, Union
  import torch
  from lightning_utilities.core.imports import RequirementCache
  from typing_extensions import override
  from lightning.fabric.accelerators import _AcceleratorRegistry
  from lightning.fabric.accelerators.cpu import _parse_cpu_cores
  from lightning.fabric.utilities.types import _DEVICE
  from lightning.pytorch.accelerators.accelerator import Accelerator
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
label_desc: Use image node_id 7 for calling the CPUAccelerator obj's underlying member method code with example usage: obj.is_available() and returns: True