class_docstr: Converts a list of m (H x W x C) numpy.ndarrays in the range [0, 255]
  or PIL Images to a torch.FloatTensor of shape (m*C x H x W)
  in the range [0, 1.0]
code: def __init__(self, channel_nb=3):
      self.channel_nb = channel_nb
  
imports: import numpy
  import PIL
  import torch
  from .utils import images
label_desc: Use image node_id 1 to create a new ToStackedTensor object from inherited base classes: object with example: obj = ToStackedTensor(channel_nb)