code: def build_slate_reward_network(
      self, state_dim, candidate_dim, candidate_size, slate_size
  ) -> ModelBase:
      seq2slate_reward_net = Seq2SlateTransformerRewardNet(
          state_dim=state_dim,
          candidate_dim=candidate_dim,
          num_stacked_layers=self.transformer.num_stacked_layers,
          num_heads=self.transformer.num_heads,
          dim_model=self.transformer.dim_model,
          dim_feedforward=self.transformer.dim_feedforward,
          max_src_seq_len=candidate_size,
          max_tgt_seq_len=slate_size,
      )
      return seq2slate_reward_net
  
file_path: ReAgent/reagent/net_builder/slate_reward/slate_reward_transformer.py
imports: from reagent.core.dataclasses import dataclass, field
  from reagent.core.parameters import param_hash, TransformerParameters
  from reagent.models.base import ModelBase
  from reagent.models.seq2slate_reward import Seq2SlateTransformerRewardNet
  from reagent.net_builder.slate_reward_net_builder import SlateRewardNetBuilder
label_desc: Use image node_id 1 for calling the SlateRewardTransformer obj's underlying member method code with example usage: obj.build_slate_reward_network(state_dim, candidate_dim, candidate_size, slate_size) and returns: seq2slate_reward_net