code: def get_synthetic_loader(
      data_path,
      image_size,
      batch_size,
      num_classes,
      one_hot,
      interpolation=None,
      augmentation=None,
      start_epoch=0,
      workers=None,
      _worker_init_fn=None,
      memory_format=torch.contiguous_format,
      **kwargs,
  ):
      return (
          SynteticDataLoader(
              batch_size,
              num_classes,
              3,
              image_size,
              image_size,
              one_hot,
              memory_format=memory_format,
          ),
          -1,
      )
  
imports: import os
  import torch
  import numpy
  from PIL import Image
  from functools import partial
  from image_classification.autoaugment import AutoaugmentImageNetPolicy
  import torchvision.datasets
  import torchvision.transforms
label_desc: Use image node_id 8 for calling a global function with example usage: get_synthetic_loader(data_path, image_size, batch_size, num_classes, one_hot, interpolation, augmentation, start_epoch, workers, _worker_init_fn, memory_format) and returns: SynteticDataLoader,  unknown