tensorflow_federated/python/core/impl/executors/executor_serialization.py [251:288]:
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  type_spec = computation_types.to_type(type_spec)
  if isinstance(value, computation_pb2.Computation):
    return _serialize_computation(value, type_spec)
  elif isinstance(value, computation_impl.ConcreteComputation):
    return _serialize_computation(
        computation_impl.ConcreteComputation.get_proto(value),
        executor_utils.reconcile_value_with_type_spec(value, type_spec))
  elif type_spec is None:
    raise TypeError('A type hint is required when serializing a value which '
                    'is not a TFF computation. Asked to serialized value {v} '
                    ' of type {t} with None type spec.'.format(
                        v=value, t=type(value)))
  elif type_spec.is_tensor():
    return _serialize_tensor_value(value, type_spec)
  elif type_spec.is_sequence():
    return _serialize_sequence_value(value, type_spec)
  elif type_spec.is_struct():
    return _serialize_struct_type(value, type_spec)
  elif type_spec.is_federated():
    return _serialize_federated_value(value, type_spec)
  else:
    raise ValueError(
        'Unable to serialize value with Python type {} and {} TFF type.'.format(
            str(py_typecheck.type_string(type(value))),
            str(type_spec) if type_spec is not None else 'unknown'))


@tracing.trace
def _deserialize_computation(
    value_proto: executor_pb2.Value) -> _DeserializeReturnType:
  """Deserializes a TFF computation."""
  return (value_proto.computation,
          type_serialization.deserialize_type(value_proto.computation.type))


@tracing.trace
def _deserialize_tensor_value(
    value_proto: executor_pb2.Value) -> _DeserializeReturnType:
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tensorflow_federated/python/core/impl/executors/value_serialization.py [273:310]:
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  type_spec = computation_types.to_type(type_spec)
  if isinstance(value, computation_pb2.Computation):
    return _serialize_computation(value, type_spec)
  elif isinstance(value, computation_impl.ConcreteComputation):
    return _serialize_computation(
        computation_impl.ConcreteComputation.get_proto(value),
        executor_utils.reconcile_value_with_type_spec(value, type_spec))
  elif type_spec is None:
    raise TypeError('A type hint is required when serializing a value which '
                    'is not a TFF computation. Asked to serialized value {v} '
                    ' of type {t} with None type spec.'.format(
                        v=value, t=type(value)))
  elif type_spec.is_tensor():
    return _serialize_tensor_value(value, type_spec)
  elif type_spec.is_sequence():
    return _serialize_sequence_value(value, type_spec)
  elif type_spec.is_struct():
    return _serialize_struct_type(value, type_spec)
  elif type_spec.is_federated():
    return _serialize_federated_value(value, type_spec)
  else:
    raise ValueError(
        'Unable to serialize value with Python type {} and {} TFF type.'.format(
            str(py_typecheck.type_string(type(value))),
            str(type_spec) if type_spec is not None else 'unknown'))


@tracing.trace
def _deserialize_computation(
    value_proto: executor_pb2.Value) -> _DeserializeReturnType:
  """Deserializes a TFF computation."""
  return (value_proto.computation,
          type_serialization.deserialize_type(value_proto.computation.type))


@tracing.trace
def _deserialize_tensor_value(
    value_proto: executor_pb2.Value) -> _DeserializeReturnType:
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