code: def call(self, inputs, preds):
      return super().call(target=inputs, preds=preds) / 255
  
file_path: elegy/examples/elegy/mnist_autoencoder.py
imports: import os
  from datetime import datetime
  from typing import Any, Generator, Mapping, Tuple
  import jax
  import jax.numpy
  import matplotlib.pyplot
  import numpy
  import optax
  import typer
  from datasets.load import load_dataset
  from tensorboardX.writer import SummaryWriter
  import elegy
label_desc: Use image node_id 1 for calling the MeanSquaredError obj's underlying member method code with example usage: obj.call(inputs, preds) and returns: unknown