code: def __init__(self, dataset, scale_factor, crop_size=256):
      self.dataset = dataset
      self.scale_factor = scale_factor
      self.crop_size = crop_size
  
imports: import argparse
  import torch
  import torch.nn
  import torch.optim
  import torchvision
  from model import Net
  from torch.utils.data import DataLoader
  from torchvision.transforms.functional import center_crop, resize, to_tensor
  from ignite.contrib.handlers import ProgressBar
  from ignite.engine import Engine, Events
  from ignite.handlers import BasicTimeProfiler
  from ignite.metrics import PSNR
label_desc: Use image node_id 1 to create a new SRDataset object from inherited base classes: torch.utils.data with example: obj = SRDataset(dataset, scale_factor, crop_size)