code: def build_dataloader():
      train_dataset = MNIST(
          root=gettempdir(), train=True, download=True
      )
      dataloader = DataLoader(
          train_dataset,
          transform=Compose(
              [
                  Normalize(mean=0.1307 * 255, std=0.3081 * 255),
                  Pad(2),
                  ToMode("CHW"),
              ]
          ),
          sampler=RandomSampler(dataset=train_dataset, batch_size=64),
      )
      return dataloader
  
file_path: clearml/examples/frameworks/megengine/megengine_mnist.py
imports: import argparse
  import os
  import sys
  from tempfile import gettempdir
  import numpy
  from clearml import Task
  from tensorboardX import SummaryWriter
label_desc: Use image node_id 1 for calling a global function with example usage: build_dataloader() and returns: dataloader