code: def get_random_data():
      dataset_size, num_inputs, num_outputs = 100, 12, 5
      inputs = torch.rand(dataset_size, num_inputs)
      labels = torch.randint(num_outputs, (dataset_size,))
      dataset = TensorDataset(inputs, labels)
      dataloader = DataLoader(dataset, batch_size=10)
      return dataloader
  
file_path: livelossplot/tests/external_test_pytorch_ignite.py
imports: import torch
  from ignite import engine
  from torch import nn, optim
  from torch.utils.data import TensorDataset, DataLoader
  from livelossplot import MainLogger, PlotLossesIgnite
  from livelossplot.outputs import BaseOutput
label_desc: Use image node_id 1 for calling a global function with example usage: get_random_data() and returns: dataloader