code: def test_basic_fit(self):
      model = MyModel(hidden_dim=2, output_dim=1)
  
      x = np.random.random((128, 4))
      y = np.random.random((128, 4))
      batch_size = 32
      epochs = 3
  
      model.compile(
          optimizer=optimizers.SGD(learning_rate=0.001),
          loss=losses.MeanSquaredError(),
          metrics=[metrics.MeanSquaredError()],
      )
      output_before_fit = model(x)
      model.fit(
          x,
          y,
          batch_size=batch_size,
          epochs=epochs,
          validation_split=0.2,
      )
      output_after_fit = model(x)
  
      self.assertNotAllClose(output_before_fit, output_after_fit)
  
file_path: keras/integration_tests/basic_full_flow.py
imports: import numpy
  import pytest
  import keras
  from keras import layers
  from keras import losses
  from keras import metrics
  from keras import optimizers
  from keras import testing
label_desc: Use image node_id 1 for calling the BasicFlowTest obj's underlying member method code with example usage: obj.test_basic_fit() without return types