code: def UnclippedObjective(probs_ratio, advantages):
      """Unclipped Objective from the PPO algorithm."""
      assert probs_ratio.shape == advantages.shape, (
          f"probs_ratio.shape was {probs_ratio.shape} and"
          f"advantages.shape was {advantages.shape}"
      )
      unclipped_objective = probs_ratio * advantages
      return unclipped_objective
  
file_path: trax/trax/rl/rl_layers.py
imports: from trax.fastmath import numpy
label_desc: Use image node_id 8 for calling a global function with example usage: UnclippedObjective(probs_ratio, advantages) and returns: unclipped_objective