code: def _report_continues(
      *,
      results,
      computed_continues,
      sampled_continues,
      descr_prefix=None,
      descr_cont,
  ):
      descr_prefix = (descr_prefix + "_") if descr_prefix else ""
      # Continue MSE.
      mse_sampled_vs_computed_continues = np.mean(
          np.square(
              computed_continues
              - sampled_continues.astype(computed_continues.dtype)
          )
      )
      results.update(
          {
              f"{descr_prefix}sampled_vs_{descr_cont}_continues_mse": (
                  mse_sampled_vs_computed_continues
              ),
          }
      )
  
file_path: ray/python/ray/rllib/algorithms/dreamerv3/utils/summaries.py
imports: import numpy
  from ray.rllib.algorithms.dreamerv3.utils.debugging import create_cartpole_dream_image, create_frozenlake_dream_image
  from ray.rllib.policy.sample_batch import SampleBatch
  from ray.rllib.utils.tf_utils import inverse_symlog
label_desc: Use image node_id 9 for calling a global function with example usage: _report_continues() without return types