parameters: (self, node_name, output_slot, debug_op, device_name=None)
docstring: Get the tensor value from for a debug-dumped tensor.
  
      The tensor may be dumped multiple times in the dump root directory, so a
      list of tensors (`numpy.ndarray`) is returned.
  
      Args:
        node_name: (`str`) name of the node that the tensor is produced by.
        output_slot: (`int`) output slot index of tensor.
        debug_op: (`str`) name of the debug op.
        device_name: (`str`) name of the device. If there is only one device or if
          the specified debug_watch_key exists on only one device, this argument
          is optional.
  
      Returns:
        List of tensors (`numpy.ndarray`) loaded from the debug-dump file(s).
  
      Raises:
        WatchKeyDoesNotExistInDebugDumpDirError: If the tensor does not exist in
          the debug-dump data.
docstring_summary: Get the tensor value from for a debug-dumped tensor.
docstring_tokens: Get the tensor value from for a debug - dumped tensor .
function: def get_tensors(self, node_name, output_slot, debug_op, device_name=None):
      """Get the tensor value from for a debug-dumped tensor.
  
      The tensor may be dumped multiple times in the dump root directory, so a
      list of tensors (`numpy.ndarray`) is returned.
  
      Args:
        node_name: (`str`) name of the node that the tensor is produced by.
        output_slot: (`int`) output slot index of tensor.
        debug_op: (`str`) name of the debug op.
        device_name: (`str`) name of the device. If there is only one device or if
          the specified debug_watch_key exists on only one device, this argument
          is optional.
  
      Returns:
        List of tensors (`numpy.ndarray`) loaded from the debug-dump file(s).
  
      Raises:
        WatchKeyDoesNotExistInDebugDumpDirError: If the tensor does not exist in
          the debug-dump data.
      """
  
      watch_key = _get_tensor_watch_key(node_name, output_slot, debug_op)
      try:
        device_name = self._infer_device_name(device_name, node_name)
        return [datum.get_tensor() for datum in
                self._watch_key_to_datum[device_name][watch_key]]
      except (ValueError, KeyError):
        raise WatchKeyDoesNotExistInDebugDumpDirError(
            "Watch key \"%s\" does not exist in the debug dump of device %s" %
            (watch_key, device_name))
function_tokens: def get_tensors ( self , node_name , output_slot , debug_op , device_name = None ) : watch_key = _get_tensor_watch_key ( node_name , output_slot , debug_op ) try : device_name = self . _infer_device_name ( device_name , node_name ) return [ datum . get_tensor ( ) for datum in self . _watch_key_to_datum [ device_name ] [ watch_key ] ] except ( ValueError , KeyError ) : raise WatchKeyDoesNotExistInDebugDumpDirError ( "Watch key \"%s\" does not exist in the debug dump of device %s" % ( watch_key , device_name ) )