class_docstr: A set of tests for the Learner.
class_docstr_tok: ["A","set","of","tests","for","the","Learner","."]
code: def _compare_losses(self, loss_1, loss_2, delta=1.0e-2):
      (digits_1, exponent_1) = np.frexp(loss_1)
      (digits_2, exponent_2) = np.frexp(loss_2)
      self.assertEqual(exponent_1, exponent_2)
      self.assertAlmostEqual(digits_1, digits_2, delta=delta)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import functools
  import os
  from absl import logging
  from absl.testing import parameterized
  import numpy
  from six.moves import range
  import tensorflow
  from tf_agents.agents.behavioral_cloning import behavioral_cloning_agent
  from tf_agents.environments import suite_gym
  from tf_agents.environments import tf_py_environment
  from tf_agents.keras_layers import inner_reshape
  from tf_agents.networks import sequential
  from tf_agents.specs import tensor_spec
  from tf_agents.system import system_multiprocessing
  from tf_agents.train import learner
  from tf_agents.train.utils import test_utils
  from tf_agents.train.utils import train_utils
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
label_desc: Use image node_id 3 for calling the LearnerTest obj's underlying member method code with example usage: obj._compare_losses(loss_1, loss_2, delta) without return types