code: def test_reduces_lr_with_model_fit(self):
      reduce_lr = callbacks.ReduceLROnPlateau(
          patience=1, factor=0.1, monitor="val_loss", min_delta=100
      )
  
      self.model.fit(
          self.x_train,
          self.y_train,
          validation_data=(self.x_test, self.y_test),
          callbacks=[reduce_lr],
          epochs=2,
      )
  
      self.assertEqual(self.model.optimizer.learning_rate.value, 0.01)
  
file_path: keras/keras/callbacks/reduce_lr_on_plateau_test.py
imports: import pytest
  from keras import callbacks
  from keras import layers
  from keras import optimizers
  from keras import testing
  from keras.models import Sequential
  from keras.testing import test_utils
  from keras.utils import io_utils
  from keras.utils import numerical_utils
label_desc: Use image node_id 2 for calling the ReduceLROnPlateauTest obj's underlying member method code with example usage: obj.test_reduces_lr_with_model_fit() without return types