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
  
file_path: pytorch-lightning/src/lightning/fabric/accelerators/cpu.py
imports: from typing import List, Union
  import torch
  from typing_extensions import override
  from lightning.fabric.accelerators.accelerator import Accelerator
  from lightning.fabric.accelerators.registry import _AcceleratorRegistry
label_desc: Use image node_id 6 for calling the CPUAccelerator obj's underlying member method code with example usage: obj.is_available() and returns: True