class_docstr: A tfdbg Session wrapper that can be used with TensorBoard Debugger Plugin.
  
  This wrapper is the same as `GrpcDebugWrapperSession`, except that it uses a
    predefined `watch_fn` that
    1) uses `DebugIdentity` debug ops with the `gated_grpc` attribute set to
        `True` to allow the interactive enabling and disabling of tensor
       breakpoints.
    2) watches all tensors in the graph.
  This saves the need for the user to define a `watch_fn`.
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code: def run(
      self,
      fetches,
      feed_dict=None,
      options=None,
      run_metadata=None,
      callable_runner=None,
      callable_runner_args=None,
      callable_options=None,
  ):
      if self._send_traceback_and_source_code:
          self._sent_graph_version = publish_traceback(
              self._grpc_debug_server_urls,
              self.graph,
              feed_dict,
              fetches,
              self._sent_graph_version,
          )
      return super().run(
          fetches,
          feed_dict=feed_dict,
          options=options,
          run_metadata=run_metadata,
          callable_runner=callable_runner,
          callable_runner_args=callable_runner_args,
          callable_options=callable_options,
      )
  
file_path: tensorflow/tensorflow/python/debug/wrappers/grpc_wrapper.py
imports: import signal
  import sys
  import traceback
  from tensorflow.python.debug.lib import common
  from tensorflow.python.debug.wrappers import framework
label_desc: Use image node_id 2 for calling the TensorBoardDebugWrapperSession obj's underlying member method code with example usage: obj.run(fetches, feed_dict, options, run_metadata, callable_runner, callable_runner_args, callable_options) and returns: super