class_docstr: CheckpointIO that utilizes :func:`torch.save` and :func:`torch.load` to save and load checkpoints respectively,
  common for most use cases.
  
  .. warning::  This is an :ref:`experimental <versioning:Experimental API>` feature.
class_docstr_tok: ["CheckpointIO","that","utilizes",":","func",":","`","torch.save","`","and",":","func",":","`","torch.load","`","to","save","and","load","checkpoints","respectively",",","common","for","most","use","cases",".","..","warning",":",":","This","is","an",":","ref",":","`","experimental","<","versioning",":","Experimental","API",">","`","feature","."]
docstr: Remove checkpoint file from the filesystem.
  
  Args:
      path: Path to checkpoint
docstr_tok: ["Remove","checkpoint","file","from","the","filesystem",".","Args",":","path",":","Path","to","checkpoint"]
code: def remove_checkpoint(self, path: _PATH) -> None:
      """Remove checkpoint file from the filesystem.
  
      Args:
          path: Path to checkpoint
  
      """
      fs = get_filesystem(path)
      if fs.exists(path):
          fs.rm(path, recursive=True)
          log.debug(f"Removed checkpoint: {path}")
  
file_path: pytorch-lightning/src/lightning/fabric/plugins/io/torch_io.py
imports: import logging
  import os
  from typing import Any, Callable, Dict, Optional
  from typing_extensions import override
  from lightning.fabric.plugins.io.checkpoint_io import CheckpointIO
  from lightning.fabric.utilities.cloud_io import _atomic_save, get_filesystem
  from lightning.fabric.utilities.cloud_io import _load
  from lightning.fabric.utilities.types import _PATH
label_desc: Use image node_id 3 for calling the TorchCheckpointIO obj's underlying member method code with example usage: obj.remove_checkpoint(path) without return types