ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
}

TEST_F(CApiGradientsTest, GradientsPrefix_2ndGradientsAsSubScopeOf1st) {
  BuildGraphAndAddGradientsWithPrefixes("gradients", "gradients/sub");
  ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
}

TEST_F(CApiGradientsTest, GradientsPrefix_PrefixMatchesExistingNodeName) {
  BuildGraphAndAddGradientsWithPrefixes("Const_0");

build:rbe_linux_cuda_nvcc --config=rbe_linux_cuda
build:rbe_linux_cuda_nvcc --config=nvcc_clang
build:rbe_linux_cuda_nvcc --repo_env TF_NCCL_USE_STUB=1

build:rbe_win_base --config=rbe_base
build:rbe_win_base --shell_executable=C:\\tools\\msys64\\usr\\bin\\bash.exe
build:rbe_win_base --remote_instance_name=projects/tensorflow-testing/instances/windows

// * We do not provide TF_OK since it is not strictly necessary and we
//   are not optimizing for convenience.
// * We make assumption that one session has one graph.  This should be
//   fine since we have the ability to run sub-graphs.
// * We could allow NULL for some arguments (e.g., NULL options arg).
//   However since convenience is not a primary goal, we don't do this.
// * Devices are not in this API.  Instead, they are created/used internally