code: def test_dataloader(self):
      N = 0
  
      class Model(eg.ModelBase):
          a: jnp.ndarray = eg.node()
  
          def init_step(
              self,
              key: jnp.ndarray,
              inputs: tp.Any,
          ) -> "Model":
              self.a = jnp.array(0, dtype=jnp.int32)
              return self
  
          def pred_step(self, inputs):
              nonlocal N
              N += 1
  
              preds = inputs + 1.0
              self.a += 1
  
              return preds, self
  
          def reset_metrics(self):
              pass
  
      model = Model()
  
      x = np.random.uniform(size=(10, 1))
      y = np.random.uniform(size=(10, 3))
  
      dataset = TensorDataset(torch.from_numpy(x), torch.from_numpy(y))
      dataloader = DataLoader(dataset, batch_size=2)
  
      y_pred = model.predict(x=dataloader)
      assert jnp.allclose(y_pred, x + 1)
      y_pred = model.predict(x=dataloader)
      assert jnp.allclose(y_pred, x + 1)
      y_pred
  
file_path: elegy/tests/model/model_base_test.py
imports: import typing
  import unittest
  import jax.numpy
  import numpy
  import torch
  from torch.utils.data import DataLoader, TensorDataset
  import elegy
label_desc: Use image node_id 4 for calling the TestModelBase obj's underlying member method code with example usage: obj.test_dataloader() and returns: self, preds,  self