class_docstr: Class representing result and status from RPC Call.
class_docstr_tok: ["Class","representing","result","and","status","from","RPC","Call","."]
code: def __init__(self, status_or, deleter, output_specs=None):
      self._status_or = status_or
      self._output_specs = output_specs
      self._deleter = deleter
      self._error_code: dtypes.int64 = None
      self._error_message: dtypes.string = None
  
imports: from typing import Optional, Sequence, Union
  import tensorflow.distribute.experimental.rpc.kernels.gen_rpc_ops
  from tensorflow.distribute.experimental.rpc.proto import tf_rpc_service_pb2
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import none_tensor
  from tensorflow.python.framework import type_spec
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.saved_model import nested_structure_coder
  from tensorflow.python.types import core
  from tensorflow.python.util import nest
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 to create a new StatusOrResult object from inherited base classes: object with example: obj = StatusOrResult(status_or, deleter, output_specs)