class_docstr: Ensures input is between 0 and 1
class_docstr_tok: ["Ensures","input","is","between","0","and","1"]
code: def forward(ctx, input_data):
      ctx.save_for_backward(input_data)
      return input_data.clamp(min=0, max=1)
  
imports: import time
  import numpy
  import scipy.special
  import torch
  import torch.nn
  from .None import constants
  from .None import syssettings
  from .fginitialize import ChunkDataLoader
label_desc: Use image node_id 1 for calling the ramp obj's underlying member method code with example usage: obj.forward(ctx, input_data) and returns: input_data