code: def log(self, inputs=None, headers=None, verbose=False):
      if self.write_file is None:
          self.write_file = open(self.output_log_file, "w")
          self.csv_writer = csv.writer(self.write_file)
          if headers is not None:
              self.csv_writer.writerow(headers)
  
      if inputs is not None:
          self.csv_writer.writerow(inputs)
  
      if verbose:
          for input_idx, single_input in enumerate(inputs):
              if headers is None:
                  print(("Logging Output", input_idx, single_input))
              else:
                  print((headers[input_idx], single_input))
  
      return
  
imports: import csv
  from deepneuro.models.cost_functions import cost_function_dict
  from deepneuro.utilities.util import add_parameter, nifti_splitext
  from deepneuro.load.load import load
label_desc: Use image node_id 11 for calling the DeepNeuroModel obj's underlying member method code with example usage: obj.log(inputs, headers, verbose) without return types