class_docstr: Randomly erasing the area in `src` between `s_min` and `s_max` with `probability`.
  `ratio` controls the ratio between width and height.
  `mean` means the value in erasing area.
  
  Parameters
  ----------
  probability : float
      Probability of erasing.
  s_min : float
      Min area to all area.
  s_max : float
      Max area to all area.
  ratio : float
      The ratio between width and height.
  mean : int or tuple of (R, G, B)
      The value in erasing area.
  
  
  Inputs:
      - **data**: input tensor with (Hi x Wi x C) shape.
  Outputs:
      - **out**: output tensor with (Hi x Wi x C) shape.
class_docstr_tok: ["Randomly","erasing","the","area","in","`","src","`","between","`","s_min","`","and","`","s_max","`","with","`","probability","`",".","`","ratio","`","controls","the","ratio","between","width","and","height",".","`","mean","`","means","the","value","in","erasing","area",".","Parameters","--","--","--","--","--","probability",":","float","Probability","of","erasing",".","s_min",":","float","Min","area","to","all","area",".","s_max",":","float","Max","area","to","all","area",".","ratio",":","float","The","ratio","between","width","and","height",".","mean",":","int","or","tuple","of","(","R",",","G",",","B",")","The","value","in","erasing","area",".","Inputs",":","-","*","*","data","*","*",":","input","tensor","with","(","Hi","x","Wi","x","C",")","shape",".","Outputs",":","-","*","*","out","*","*",":","output","tensor","with","(","Hi","x","Wi","x","C",")","shape","."]
code: def __init__(
      self,
      probability=0.5,
      s_min=0.02,
      s_max=0.4,
      ratio=0.3,
      mean=(125.31, 122.96, 113.86),
  ):
      super(RandomErasing, self).__init__()
      self.probability = probability
      self.mean = mean
      self.s_min = s_min
      self.s_max = s_max
      self.ratio = ratio
  
file_path: gluon-cv/gluoncv/data/transforms/block.py
imports: import random
  import math
  import numpy
  from mxnet import image, nd
  from mxnet.gluon import Block
label_desc: Use image node_id 1 to create a new RandomErasing object from inherited base classes: Block with example: obj = RandomErasing(probability, s_min, s_max, ratio, mean)