class_docstr: Normalize to -1..1 in Google Inception style
      
class_docstr_tok: ["Normalize","to","-1","..","1","in","Google","Inception","style"]
code: def __call__(self, tensor):
      for t in tensor:
          t.sub_(0.5).mul_(2.0)
      return tensor
  
file_path: pywick/pywick/models/classification/dpn/model_factory.py
imports: import math
  from .dualpath import *
  from torchvision.models.resnet import resnet18, resnet34, resnet50, resnet101, resnet152
  from torchvision.models.densenet import densenet121, densenet169, densenet161, densenet201
  from torchvision.models.inception import inception_v3
  import torchvision.transforms
  from PIL import Image
label_desc: Use image node_id 1 for calling the LeNormalize obj's underlying member method code with example usage: obj.__call__(tensor) and returns: tensor