TF_DeleteSessionOptions(opts);

  TF_Output feeds[] = {TF_Output{a, 0}, TF_Output{b, 0}};
  TF_Output fetches[] = {TF_Output{plus2, 0}, TF_Output{plusB, 0}};

  const char* handle = nullptr;
  TF_SessionPRunSetup(sess, feeds, TF_ARRAYSIZE(feeds), fetches,
                      TF_ARRAYSIZE(fetches), nullptr, 0, &handle, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Feed A and fetch A + 2.

    changes.
*   `RNNCell` objects now subclass `tf.layers.Layer`. The strictness described
    in the TensorFlow 1.1 release is gone: The first time an RNNCell is used, it
    caches its scope. All future uses of the RNNCell will reuse variables from
    that same scope. This is a breaking change from the behavior of RNNCells in
    TensorFlow versions <= 1.0.1. TensorFlow 1.1 had checks in place to ensure