class_docstr: Class representing result and status from RPC Call.
class_docstr_tok: ["Class","representing","result","and","status","from","RPC","Call","."]
docstr: Returns the returned response value from RPC Call when RPC is successful.
  
    The returned value is tensors in the output_specs format as returned from
    the RPC call
  
  
  This call will block for RPC result.
docstr_tok: ["Returns","the","returned","response","value","from","RPC","Call","when","RPC","is","successful",".","The","returned","value","is","tensors","in","the","output_specs","format","as","returned","from","the","RPC","call","This","call","will","block","for","RPC","result","."]
code: def get_value(self):
      """Returns the returned response value from RPC Call when RPC is successful.
  
        The returned value is tensors in the output_specs format as returned from
        the RPC call
  
  
      This call will block for RPC result.
      """
  
      self._check_status()
      if self._output_specs is None or isinstance(
          self._output_specs, none_tensor.NoneTensorSpec
      ):
          flat_output_dtypes = []
          return_none = True
      else:
          return_none = False
          flat_output_dtypes = [
              s.dtype for s in nest.flatten(self._output_specs)
          ]
  
      result = gen_rpc_ops.rpc_get_value(
          self._status_or, Tout=flat_output_dtypes
      )
      if return_none:
          return None
      else:
          return nest.pack_sequence_as(self._output_specs, result)
  
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 6 for calling the StatusOrResult obj's underlying member method code with example usage: obj.get_value() and returns: None, nest