code: def log_prob(
      self, scores: GaussianSamplerScore, squashed_action: torch.Tensor
  ) -> torch.Tensor:
      self.actor_network.eval()
      # pyre-fixme[20]: Argument `squashed_action` expected.
      log_prob = self._log_prob(scores.loc, scores.scale_log)
      self.actor_network.train()
      return log_prob
  
file_path: ReAgent/reagent/gym/policies/samplers/continuous_sampler.py
imports: import reagent.core.types
  import torch
  from reagent.gym.types import GaussianSamplerScore, Sampler
label_desc: Use image node_id 5 for calling the GaussianSampler obj's underlying member method code with example usage: obj.log_prob(scores, squashed_action) and returns: log_prob