code: def train_loss(targets, outputs):
      loss = tf.nn.sparse_softmax_cross_entropy_with_logits(
          labels=targets, logits=outputs
      )
      return tf.reduce_mean(loss)
  
imports: from gymnasium.spaces import Box, Discrete
  import numpy
  from rllib.models.tf.attention_net import TrXLNet
  from ray.rllib.utils.framework import try_import_tf
label_desc: Use image node_id 2 for calling a global function with example usage: train_loss(targets, outputs) and returns: tf