code: def compute_loss_and_updates(
      trainable_variables, non_trainable_variables, x, y
  ):
      y_pred, non_trainable_variables = model.stateless_call(
          trainable_variables, non_trainable_variables, x
      )
      loss = loss_fn(y, y_pred)
      return loss, non_trainable_variables
  
file_path: keras/guides/writing_a_custom_training_loop_in_jax.py
imports: import os
  import jax
  import tensorflow
  import keras
  import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: compute_loss_and_updates(trainable_variables, non_trainable_variables, x, y) and returns: loss,  non_trainable_variables