class_docstr: Manage profile data for each run, each run may have multiple workers and spans.
  We should manage profile data of each (worker, span) unit.
  Besides, a special worker "all" is created to merge all profile data for distributed view.
class_docstr_tok: ["Manage","profile","data","for","each","run",",","each","run","may","have","multiple","workers","and","spans",".","We","should","manage","profile","data","of","each","(","worker",",","span",")","unit",".","Besides",",","a","special","worker","``","all","''","is","created","to","merge","all","profile","data","for","distributed","view","."]
code: def get_profiler_data(self, worker, span):
      if worker in self.profiler_data:
          if span in self.profiler_data[worker]:
              return self.profiler_data[worker][span]
  
file_path: VisualDL/visualdl/component/profiler/run_manager.py
imports: from collections import defaultdict
  from threading import Thread
  from .profiler_data import DistributedProfilerData
  from .profiler_data import ProfilerData
label_desc: Use image node_id 2 for calling the RunManager obj's underlying member method code with example usage: obj.get_profiler_data(worker, span) and returns: self