class_docstr: Random Dataset.
  
  This class is modified from RandomDataset in
  https://github.com/PyTorchLightning/pytorch-lightning/
  blob/master/pytorch_lightning/demos/boring_classes.py
  
  :param _type_ Dataset: _description_
class_docstr_tok: ["Random","Dataset",".","This","class","is","modified","from","RandomDataset","in","https",":","\/\/github.com\/PyTorchLightning\/pytorch-lightning\/","blob\/master\/pytorch_lightning\/demos\/boring_classes.py",":","param","_type_","Dataset",":","_description_"]
code: def __init__(self, size: int, length: int):
      self.len = length
      self.data = torch.randn(length, size)
  
imports: import torch
  from torch.utils.data import DataLoader, Dataset
  from pytorch_lightning import LightningModule
label_desc: Use image node_id 1 to create a new RandomDataset object from inherited base classes: Dataset with example: obj = RandomDataset(size, length)