class_docstr: An iterator that yields (UNIX timestamp float, Event proto) pairs.
class_docstr_tok: ["An","iterator","that","yields","(","UNIX","timestamp","float",",","Event","proto",")","pairs","."]
docstr: Loads all new events and their wall time values from disk.
  
  Calling Load multiple times in a row will not 'drop' events as long as the
  return value is not iterated over.
  
  Yields:
    Pairs of (UNIX timestamp float, Event proto) for all events in the file
    that have not been yielded yet.
docstr_tok: ["Loads","all","new","events","and","their","wall","time","values","from","disk",".","Calling","Load","multiple","times","in","a","row","will","not","'drop","'","events","as","long","as","the","return","value","is","not","iterated","over",".","Yields",":","Pairs","of","(","UNIX","timestamp","float",",","Event","proto",")","for","all","events","in","the","file","that","have","not","been","yielded","yet","."]
code: def Load(self):
      """Loads all new events and their wall time values from disk.
  
      Calling Load multiple times in a row will not 'drop' events as long as the
      return value is not iterated over.
  
      Yields:
        Pairs of (UNIX timestamp float, Event proto) for all events in the file
        that have not been yielded yet.
      """
      for event in super().Load():
          yield (event.wall_time, event)
  
imports: import contextlib
  from tensorboard import data_compat
  from tensorboard import dataclass_compat
  from tensorboard.compat import tf
  from tensorboard.compat.proto import event_pb2
  from tensorboard.util import platform_util
  from tensorboard.util import tb_logging
label_desc: Use image node_id 1 for calling the TimestampedEventFileLoader obj's underlying member method code with example usage: obj.Load() without return types