class_docstr: Base class for QRDQN net builder.
class_docstr_tok: ["Base","class","for","QRDQN","net","builder","."]
code: def _get_input_dim(
      self, state_normalization_data: NormalizationData
  ) -> int:
      return get_num_output_features(
          state_normalization_data.dense_normalization_parameters
      )
  
file_path: ReAgent/reagent/net_builder/quantile_dqn_net_builder.py
imports: import abc
  from typing import List
  import reagent.core.types
  import torch
  from reagent.core.fb_checker import IS_FB_ENVIRONMENT
  from reagent.core.parameters import NormalizationData
  from reagent.models import ModelBase, Sequential
  from reagent.prediction.predictor_wrapper import DiscreteDqnWithPreprocessor
  from reagent.preprocessing.normalization import get_num_output_features
  from reagent.preprocessing.preprocessor import Preprocessor
label_desc: Use image node_id 2 for calling the QRDQNNetBuilder obj's underlying member method code with example usage: obj._get_input_dim(state_normalization_data) and returns: get_num_output_features