code: def log_configuration(self):
      tlogger.info(
          "Backprop into parser: %s", self.config.constituency_backprop
      )
      tlogger.info(
          "Batch norm: %s", self.config.constituency_batch_norm
      )
      tlogger.info(
          "Word positions used: %s",
          "all words"
          if self.config.constituency_all_words
          else "start and end words",
      )
      tlogger.info(
          "Attention over nodes: %s", self.config.constituency_node_attn
      )
      tlogger.info("Intermediate layers: %s", self.config.fc_shapes)
  
file_path: stanza/stanza/models/classifiers/constituency_classifier.py
imports: import logging
  from types import SimpleNamespace
  import torch
  import torch.nn
  import torch.nn.functional
  from stanza.models.classifiers.base_classifier import BaseClassifier
  from stanza.models.classifiers.data import SentimentDatum
  from stanza.models.classifiers.utils import ModelType, build_output_layers
  from stanza.models.common.utils import split_into_batches, sort_with_indices, unsort
label_desc: Use image node_id 2 for calling the ConstituencyClassifier obj's underlying member method code with example usage: obj.log_configuration() without return types