class_docstr: Class implementing Scaler operators in PyTorch. Supported normalizers are L1, L2 and Max.
code: def forward(self, x):
      if self.offset is not None:
          x = x - self.offset
  
      if self.scale is not None:
          x = x * self.scale
  
      return x.float()
  
file_path: hummingbird/hummingbird/ml/operator_converters/_scaler_implementations.py
imports: import numpy
  import torch
  from ._physical_operator import PhysicalOperator
label_desc: Use image node_id 2 for calling the Scaler obj's underlying member method code with example usage: obj.forward(x) and returns: x