Removes the `._asdict` in the p13n example as it is not needed.
@@ -194,7 +194,6 @@ def main(argv):
np.random.choice(
federated_p13n_data, num_clients_do_p13n_eval, replace=False))
p13n_metrics = p13n_eval(server_state.model, sampled_p13n_data)
- p13n_metrics = p13n_metrics._asdict(recursive=True) # Convert to a dict.
# Specifically, `p13n_metrics` is an `OrderedDict` that maps
# key 'baseline_metrics' to the evaluation metrics of the initial global
# model (computed by `baseline_evaluate_fn` argument in `p13n_eval`), and
