code: def _trace_all_results(state, results):
      del state
      return results
  
imports: import collections
  from tensorflow_probability.python.experimental.mcmc import kernel_outputs
  from tensorflow_probability.python.experimental.mcmc import preconditioned_hmc
  from tensorflow_probability.python.experimental.mcmc import progress_bar_reducer
  from tensorflow_probability.python.experimental.mcmc import sample_discarding_kernel
  from tensorflow_probability.python.experimental.mcmc import step
  from tensorflow_probability.python.experimental.mcmc import tracing_reducer
  from tensorflow_probability.python.experimental.mcmc import with_reductions
  from tensorflow_probability.python.mcmc import dual_averaging_step_size_adaptation
  from tensorflow_probability.python.mcmc import hmc
  from tensorflow_probability.python.mcmc import langevin
  from tensorflow_probability.python.mcmc import nuts
  from tensorflow_probability.python.mcmc import random_walk_metropolis
  from tensorflow_probability.python.mcmc import replica_exchange_mc
  from tensorflow_probability.python.mcmc import simple_step_size_adaptation
  from tensorflow_probability.python.mcmc import transformed_kernel
  from tensorflow_probability.python.mcmc.internal import util
label_desc: Use image node_id 1 for calling a global function with example usage: _trace_all_results(state, results) and returns: results