code: def build_trainer(
      self,
      normalization_data_map: Dict[str, NormalizationData],
      use_gpu: bool,
      reward_options: Optional[RewardOptions] = None,
  ) -> C51Trainer:
      net_builder = self.net_builder.value
      q_network = net_builder.build_q_network(
          state_normalization_data=normalization_data_map[
              NormalizationKey.STATE
          ],
          output_dim=len(self.action_names),
          # pyre-fixme[16]: `C51TrainerParameters` has no attribute `num_atoms`.
          # pyre-fixme[16]: `C51TrainerParameters` has no attribute `num_atoms`.
          num_atoms=self.trainer_param.num_atoms,
          # pyre-fixme[16]: `C51TrainerParameters` has no attribute `qmin`.
          # pyre-fixme[16]: `C51TrainerParameters` has no attribute `qmin`.
          qmin=self.trainer_param.qmin,
          # pyre-fixme[16]: `C51TrainerParameters` has no attribute `qmax`.
          # pyre-fixme[16]: `C51TrainerParameters` has no attribute `qmax`.
          qmax=self.trainer_param.qmax,
      )
  
      q_network_target = q_network.get_target_network()
  
      return C51Trainer(
          q_network=q_network,
          q_network_target=q_network_target,
          # pyre-fixme[16]: `C51TrainerParameters` has no attribute `asdict`.
          # pyre-fixme[16]: `C51TrainerParameters` has no attribute `asdict`.
          **self.trainer_param.asdict(),
      )
  
file_path: ReAgent/reagent/model_managers/discrete/discrete_c51dqn.py
imports: import logging
  from typing import Dict, Optional
  import torch
  from reagent.core.dataclasses import dataclass, field
  from reagent.core.parameters import NormalizationData, NormalizationKey, param_hash
  from reagent.model_managers.discrete_dqn_base import DiscreteDQNBase
  from reagent.net_builder.categorical_dqn.categorical import Categorical
  from reagent.net_builder.unions import CategoricalDQNNetBuilder__Union
  from reagent.training import C51Trainer, C51TrainerParameters, ReAgentLightningModule
  from reagent.workflow.types import RewardOptions
label_desc: Use image node_id 4 for calling the DiscreteC51DQN obj's underlying member method code with example usage: obj.build_trainer(normalization_data_map, use_gpu, reward_options) and returns: C51Trainer