to `tf.string_strip`), `tf.strings.substr`, `tf.strings.to_hash_bucket`
        (corresponds to `tf.string_to_hash_bucket`),
        `tf.strings.to_hash_bucket_fast` (corresponds to
        `tf.string_to_hash_bucket_fast`), `tf.strings.to_hash_bucket_strong`
        (corresponds to `tf.string_to_hash_bucket_strong`).

## Thanks to our Contributors

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
# Don't build the python zip archive in the RBE build.
build:rbe_win_base --remote_download_minimal

    control_output_nodes.push_back(&control_outputs[i]->node);
  }

  // Do the actual function creation.
  DCHECK(append_hash_to_fn_name <= 1);
  tensorflow::FunctionDef fdef;
  status->status = tensorflow::GraphToFunctionDef(
      fn_body->graph, fn_name, append_hash_to_fn_name != 0,
      /*set_stateful_from_nodes=*/true,
      /*copy_placeholder_attrs_from_nodes=*/true, body_nodes, input_tensors,