class_docstr: Analyzer for debug data from dump directories.
class_docstr_tok: ["Analyzer","for","debug","data","from","dump","directories","."]
docstr: Retrieve filter function by name.
  
  Args:
    filter_name: Name of the filter set during add_tensor_filter() call.
  
  Returns:
    The callable associated with the filter name.
  
  Raises:
    ValueError: If there is no tensor filter of the specified filter name.
docstr_tok: ["Retrieve","filter","function","by","name",".","Args",":","filter_name",":","Name","of","the","filter","set","during","add_tensor_filter","(",")","call",".","Returns",":","The","callable","associated","with","the","filter","name",".","Raises",":","ValueError",":","If","there","is","no","tensor","filter","of","the","specified","filter","name","."]
code: def get_tensor_filter(self, filter_name):
      """Retrieve filter function by name.
  
      Args:
        filter_name: Name of the filter set during add_tensor_filter() call.
  
      Returns:
        The callable associated with the filter name.
  
      Raises:
        ValueError: If there is no tensor filter of the specified filter name.
      """
  
      if filter_name not in self._tensor_filters:
          raise ValueError(
              'There is no tensor filter named "%s"' % filter_name
          )
  
      return self._tensor_filters[filter_name]
  
imports: import argparse
  import copy
  import re
  from tensorflow.python.debug.cli import cli_config
  from tensorflow.python.debug.cli import cli_shared
  from tensorflow.python.debug.cli import command_parser
  from tensorflow.python.debug.cli import debugger_cli_common
  from tensorflow.python.debug.cli import evaluator
  from tensorflow.python.debug.cli import ui_factory
  from tensorflow.python.debug.lib import debug_graphs
  from tensorflow.python.debug.lib import source_utils
label_desc: Use image node_id 4 for calling the DebugAnalyzer obj's underlying member method code with example usage: obj.get_tensor_filter(filter_name) and returns: self