class_docstr: Base Python class for gRPC debug server.
class_docstr_tok: ["Base","Python","class","for","gRPC","debug","server","."]
docstr: Request disabling a debug tensor watchpoint or breakpoint.
  
  This is the opposite of `request_watch()`.
  
  Args:
    node_name: (`str`) name of the node that the to-be-watched tensor belongs
      to, e.g., "hidden/Weights".
    output_slot: (`int`) output slot index of the tensor to watch.
    debug_op: (`str`) name of the debug op to enable. This should not include
      any attribute substrings.
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code: def request_unwatch(self, node_name, output_slot, debug_op):
      """Request disabling a debug tensor watchpoint or breakpoint.
  
      This is the opposite of `request_watch()`.
  
      Args:
        node_name: (`str`) name of the node that the to-be-watched tensor belongs
          to, e.g., "hidden/Weights".
        output_slot: (`int`) output slot index of the tensor to watch.
        debug_op: (`str`) name of the debug op to enable. This should not include
          any attribute substrings.
      """
      self._debug_ops_state_change_queue.put(
          _state_change(
              debug_service_pb2.EventReply.DebugOpStateChange.DISABLED,
              node_name,
              output_slot,
              debug_op,
          )
      )
  
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 10 for calling the EventListenerBaseServicer obj's underlying member method code with example usage: obj.request_unwatch(node_name, output_slot, debug_op) without return types