code: def erase(
      img: Tensor,
      i: int,
      j: int,
      h: int,
      w: int,
      v: Tensor,
      inplace: bool = False,
  ) -> Tensor:
      """Erase the input Tensor Image with given value.
      This transform does not support PIL Image.
  
      Args:
          img (Tensor Image): Tensor image of size (C, H, W) to be erased
          i (int): i in (i,j) i.e coordinates of the upper left corner.
          j (int): j in (i,j) i.e coordinates of the upper left corner.
          h (int): Height of the erased region.
          w (int): Width of the erased region.
          v: Erasing value.
          inplace(bool, optional): For in-place operations. By default, is set False.
  
      Returns:
          Tensor Image: Erased image.
      """
      if not torch.jit.is_scripting() and not torch.jit.is_tracing():
          _log_api_usage_once(erase)
      if not isinstance(img, torch.Tensor):
          raise TypeError(
              f"img should be Tensor Image. Got {type(img)}"
          )
  
      return F_t.erase(img, i, j, h, w, v, inplace=inplace)
  
imports: import math
  import numbers
  import sys
  import warnings
  from enum import Enum
  from typing import Any, List, Optional, Tuple, Union
  import numpy
  import torch
  from PIL import Image
  from torch import Tensor
  from ..utils import _log_api_usage_once
  from .None import _functional_pil, _functional_tensor
label_desc: Use image node_id 34 for calling a global function with example usage: erase(img, i, j, h, w, v, inplace) and returns: F_t