code: def log_dist(self, state: rlt.FeatureData) -> torch.Tensor:
      log_dist = self.distributional_network(state)
      return F.log_softmax(log_dist, -1)
  
file_path: ReAgent/reagent/models/categorical_dqn.py
imports: import torch
  import torch.nn.functional
  from reagent.core import types
  from reagent.models.base import ModelBase
label_desc: Use image node_id 4 for calling the CategoricalDQN obj's underlying member method code with example usage: obj.log_dist(state) and returns: F