code: def test_s2s_forecaster_fit_loader(self):
      train_loader, val_loader, test_loader = create_data(loader=True)
      forecaster = Seq2SeqForecaster(
          past_seq_len=24,
          future_seq_len=5,
          input_feature_num=1,
          output_feature_num=1,
          loss="mae",
          lr=0.01,
      )
      train_loss = forecaster.fit(train_loader, epochs=2)
      yhat = forecaster.predict(data=test_loader, acceleration=False)
      forecaster.evaluate(
          test_loader, batch_size=32, acceleration=False
      )
      onnx_yhat = forecaster.predict_with_onnx(data=test_loader)
      forecaster.evaluate_with_onnx(test_loader)
      forecaster.evaluate_with_onnx(test_loader, batch_size=32)
      assert yhat.shape == onnx_yhat.shape == (400, 5, 1)
  
imports: import numpy
  import tempfile
  import os
  from bigdl.chronos.utils import LazyImport
  from unittest import TestCase
  import pytest
  from ..None import op_torch, op_distributed, op_inference, op_automl
label_desc: Use image node_id 4 for calling the TestChronosModelSeq2SeqForecaster obj's underlying member method code with example usage: obj.test_s2s_forecaster_fit_loader() without return types