code: def validation_data_creator(config, batch_size):
      transform = transforms.Compose(
          [transforms.ToTensor(), transforms.Normalize((0.5,), (0.5,))]
      )
      testset = torchvision.datasets.FashionMNIST(
          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 numpy
  import matplotlib.pyplot
  import torch
  import torchvision
  import torchvision.transforms
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from torch.utils.tensorboard import SummaryWriter
  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: validation_data_creator(config, batch_size) and returns: testloader