code: def get_logits_and_q_values(model, states, rng):
      outputs = model(states, key=rng)
      return (
          jnp.squeeze(outputs.logits),
          jnp.squeeze(outputs.q_values),
      )
  
imports: import functools
  from absl import logging
  from dopamine.jax import losses
  from dopamine.jax.agents.full_rainbow import full_rainbow_agent
  from dopamine.jax.agents.rainbow import rainbow_agent
  from dopamine.labs.offline_rl import fixed_replay
  from dopamine.labs.offline_rl.rlu_tfds import tfds_replay
  import gin
  import jax
  import jax.numpy
  import numpy
  import optax
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: get_logits_and_q_values(model, states, rng) and returns: jnp,  jnp