class_docstr: A DataProvider implementation for tfdbg v2 data on local filesystem.
  
  In this implementation, `experiment_id` is assumed to be the path to the
  logdir that contains the DebugEvent file set.
class_docstr_tok: ["A","DataProvider","implementation","for","tfdbg","v2","data","on","local","filesystem",".","In","this","implementation",",","`","experiment_id","`","is","assumed","to","be","the","path","to","the","logdir","that","contains","the","DebugEvent","file","set","."]
docstr: Constructor of LocalDebuggerV2DataProvider.
  
  Args:
    logdir: Path to the directory from which the tfdbg v2 data will be
      loaded.
docstr_tok: ["Constructor","of","LocalDebuggerV2DataProvider",".","Args",":","logdir",":","Path","to","the","directory","from","which","the","tfdbg","v2","data","will","be","loaded","."]
code: def __init__(self, logdir):
      """Constructor of LocalDebuggerV2DataProvider.
  
      Args:
        logdir: Path to the directory from which the tfdbg v2 data will be
          loaded.
      """
      super().__init__()
      self._multiplexer = (
          debug_data_multiplexer.DebuggerV2EventMultiplexer(logdir)
      )
  
imports: import json
  from tensorboard.data import provider
  from tensorboard.plugins.debugger_v2 import debug_data_multiplexer
label_desc: Use image node_id 1 to create a new LocalDebuggerV2DataProvider object from inherited base classes: provider with example: obj = LocalDebuggerV2DataProvider(logdir)