code: def train_model(model, x, y):
      batch_size = 256
      epochs = 1
  
      model.compile(
          loss="mse",
          optimizer="adam",
          metrics=["accuracy"],
          jit_compile=False,
      )
  
      return model.fit(
          x,
          y,
          batch_size=batch_size,
          epochs=epochs,
          validation_split=0.1,
          shuffle=False,
      )
  
file_path: keras/integration_tests/numerical_test.py
imports: import keras
  import numpy
  from tensorflow import keras
label_desc: Use image node_id 3 for calling a global function with example usage: train_model(model, x, y) and returns: model