code: def test_loss_func_torch():
      log.info("TEST setting torch.nn loss func")
      df = pd.read_csv(PEYTON_FILE, nrows=512)
      m = NeuralProphet(
          epochs=EPOCHS,
          batch_size=BATCH_SIZE,
          loss_func=torch.nn.MSELoss,
          learning_rate=LR,
      )
      m.fit(df, freq="D")
      future = m.make_future_dataframe(
          df, periods=10, n_historic_predictions=10
      )
      m.predict(future)
  
imports: import logging
  import math
  import os
  import pathlib
  import matplotlib.pyplot
  import numpy
  import pandas
  import pytest
  import torch
  from neuralprophet import NeuralProphet, df_utils, set_random_seed
  from neuralprophet.data.process import _handle_missing_data, _validate_column_name
label_desc: Use image node_id 22 for calling a global function with example usage: test_loss_func_torch() without return types