parameters: (logdir='', event_file='', tag='')
docstring: Returns a list of InspectionUnit objects given either logdir or event_file.
  
    If logdir is given, the number of InspectionUnits should equal the
    number of directories or subdirectories that contain event files.
  
    If event_file is given, the number of InspectionUnits should be 1.
  
    Args:
      logdir: A log directory that contains event files.
      event_file: Or, a particular event file path.
      tag: An optional tag name to query for.
  
    Returns:
      A list of InspectionUnit objects.
docstring_summary: Returns a list of InspectionUnit objects given either logdir or event_file.
docstring_tokens: Returns a list of InspectionUnit objects given either logdir or event_file .
function: def get_inspection_units(logdir='', event_file='', tag=''):
    """Returns a list of InspectionUnit objects given either logdir or event_file.
  
    If logdir is given, the number of InspectionUnits should equal the
    number of directories or subdirectories that contain event files.
  
    If event_file is given, the number of InspectionUnits should be 1.
  
    Args:
      logdir: A log directory that contains event files.
      event_file: Or, a particular event file path.
      tag: An optional tag name to query for.
  
    Returns:
      A list of InspectionUnit objects.
    """
    if logdir:
      subdirs = event_multiplexer.GetLogdirSubdirectories(logdir)
      inspection_units = []
      for subdir in subdirs:
        generator = itertools.chain(*[
            generator_from_event_file(os.path.join(subdir, f))
            for f in gfile.ListDirectory(subdir)
            if event_accumulator.IsTensorFlowEventsFile(os.path.join(subdir, f))
        ])
        inspection_units.append(InspectionUnit(
            name=subdir,
            generator=generator,
            field_to_obs=get_field_to_observations_map(generator, tag)))
      if inspection_units:
        print('Found event files in:\n{}\n'.format('\n'.join(
            [u.name for u in inspection_units])))
      elif event_accumulator.IsTensorFlowEventsFile(logdir):
        print(
            'It seems that {} may be an event file instead of a logdir. If this '
            'is the case, use --event_file instead of --logdir to pass '
            'it in.'.format(logdir))
      else:
        print('No event files found within logdir {}'.format(logdir))
      return inspection_units
    elif event_file:
      generator = generator_from_event_file(event_file)
      return [InspectionUnit(
          name=event_file,
          generator=generator,
          field_to_obs=get_field_to_observations_map(generator, tag))]
function_tokens: def get_inspection_units ( logdir = '' , event_file = '' , tag = '' ) : if logdir : subdirs = event_multiplexer . GetLogdirSubdirectories ( logdir ) inspection_units = [ ] for subdir in subdirs : generator = itertools . chain ( * [ generator_from_event_file ( os . path . join ( subdir , f ) ) for f in gfile . ListDirectory ( subdir ) if event_accumulator . IsTensorFlowEventsFile ( os . path . join ( subdir , f ) ) ] ) inspection_units . append ( InspectionUnit ( name = subdir , generator = generator , field_to_obs = get_field_to_observations_map ( generator , tag ) ) ) if inspection_units : print ( 'Found event files in:\n{}\n' . format ( '\n' . join ( [ u . name for u in inspection_units ] ) ) ) elif event_accumulator . IsTensorFlowEventsFile ( logdir ) : print ( 'It seems that {} may be an event file instead of a logdir. If this ' 'is the case, use --event_file instead of --logdir to pass ' 'it in.' . format ( logdir ) ) else : print ( 'No event files found within logdir {}' . format ( logdir ) ) return inspection_units elif event_file : generator = generator_from_event_file ( event_file ) return [ InspectionUnit ( name = event_file , generator = generator , field_to_obs = get_field_to_observations_map ( generator , tag ) ) ]