code: def test_loader_creator(config, batch_size):
      testset = torchvision.datasets.CIFAR10(
          root=config.get("root", "./data"),
          train=False,
          download=True,
          transform=transform,
      )
      testloader = torch.utils.data.DataLoader(
          testset, batch_size=batch_size, shuffle=False, num_workers=2
      )
      return testloader
  
imports: from __future__ import print_function
  import argparse
  import matplotlib.pyplot
  import numpy
  import torch
  import torchvision
  import torchvision.transforms
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from zoo.orca import init_orca_context, stop_orca_context
  from zoo.orca.learn.pytorch import Estimator
  from zoo.orca.learn.metrics import Accuracy
  from zoo.orca.learn.trigger import EveryEpoch
label_desc: Use image node_id 2 for calling a global function with example usage: test_loader_creator(config, batch_size) and returns: testloader