class_docstr: Base Python class for gRPC debug server.
class_docstr_tok: ["Base","Python","class","for","gRPC","debug","server","."]
docstr: Get the list of debug watches with attribute gated_grpc=True.
  
  Since the server receives `GraphDef` from the debugged runtime, it can only
  return such debug watches that it has received so far.
  
  Returns:
    A `list` of `DebugWatch` `namedtuples` representing the debug watches with
    gated_grpc=True. Each `namedtuple` element has the attributes:
      `node_name` as a `str`,
      `output_slot` as an `int`,
      `debug_op` as a `str`.
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code: def gated_grpc_debug_watches(self):
      """Get the list of debug watches with attribute gated_grpc=True.
  
      Since the server receives `GraphDef` from the debugged runtime, it can only
      return such debug watches that it has received so far.
  
      Returns:
        A `list` of `DebugWatch` `namedtuples` representing the debug watches with
        gated_grpc=True. Each `namedtuple` element has the attributes:
          `node_name` as a `str`,
          `output_slot` as an `int`,
          `debug_op` as a `str`.
      """
      return list(self._gated_grpc_debug_watches)
  
imports: import collections
  import json
  import queue
  import threading
  import time
  from concurrent import futures
  import grpc
  from tensorflow.core.debug import debug_service_pb2
  from tensorflow.core.framework import graph_pb2
  from tensorflow.python.debug.lib import debug_graphs
  from tensorflow.python.debug.lib import debug_service_pb2_grpc
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util import compat
label_desc: Use image node_id 12 for calling the EventListenerBaseServicer obj's underlying member method code with example usage: obj.gated_grpc_debug_watches() and returns: list