// Parameter value feeds unmodified into a top level indirect
	// function call (assumes parameter is of function type).
	ParamFeedsIndirectCall

	// Parameter value feeds unmodified into an indirect function call
	// that is conditional/nested (not guaranteed to execute). Assumes
	// parameter is of function type.
	ParamMayFeedIndirectCall

	// Parameter value feeds unmodified into a top level "switch"

  std::vector<std::pair<string, Tensor>> feeds;
  feeds.reserve(inputs.size());
  for (auto const& feed : inputs) {
    TF_RETURN_IF_ERROR(feed.second.status);
    feeds.emplace_back(std::piecewise_construct,
                       std::forward_as_tuple(feed.first.name()),
                       std::forward_as_tuple(feed.second.tensor));
  }

  std::vector<string> output_tensor_names;

   * omitted} or {@linkplain #withPadChar(char) replaced}.
   *
   * <p>No line feeds are added by default, as per <a
   * href="http://tools.ietf.org/html/rfc4648#section-3.1">RFC 4648 section 3.1</a>, Line Feeds in
   * Encoded Data. Line feeds may be added using {@link #withSeparator(String, int)}.
   */
  public static BaseEncoding base64() {
    return BASE64;
  }

///     if (!s.ok()) { ... }
class ClientSession {
 public:
  /// A data type to represent feeds to a Run call.
  ///
  /// This is a map of `Output` objects returned by op-constructors to the value
  /// to feed them with. See `Input::Initializer` for details on what can be
  /// used as feed values.
  typedef std::unordered_map<Output, Input::Initializer, OutputHash> FeedType;

   * omitted} or {@linkplain #withPadChar(char) replaced}.
   *
   * <p>No line feeds are added by default, as per <a
   * href="http://tools.ietf.org/html/rfc4648#section-3.1">RFC 4648 section 3.1</a>, Line Feeds in
   * Encoded Data. Line feeds may be added using {@link #withSeparator(String, int)}.
   */
  public static BaseEncoding base64() {
    return BASE64;
  }

    ClientSession session(scope_);

    DCHECK_EQ(input_values.size(), inputs_.size());
    ClientSession::FeedType feeds;
    for (int i = 0; i < inputs_.size(); ++i) {
      feeds.emplace(inputs_[i], input_values[i]);
    }

    std::vector<Tensor> out_tensors;
    TF_ASSERT_OK(session.Run(feeds, outputs_, &out_tensors));
    ASSERT_EQ(out_tensors.size(), outputs_.size());

// <endcallsites>
// <endfuncpreamble>
func T_chained_indirect_call(x, y int) {
	// Here 'returnsFunc' returns an inlinable func that feeds
	// directly into a call (no named intermediate).
	G += returnsFunc(x - y)(x + y)
}

// returns2.go T_chained_conc_iface_call 144 0 1
// <endpropsdump>
// {"Flags":0,"ParamFlags":[0,0],"ResultFlags":null}

able to grab the feed and see the feed's actual URL in
the link rel="self", but the default value for that drops
the :port from the URL, and I cannot for the life of me
figure out how to get the Atom generator deep inside
django not to do that, or even where it is doing that,
or even what code is running to generate the Atom feed.
(I thought I knew but I added some assert False statements

    // This just selects the default in all cases where DeviceIndex feeds into
    // tf.Case. This could be enhanced to have some sort of policy in the
    // future.
    OpBuilder b(op);
    RankedTensorType type = RankedTensorType::get({}, b.getIntegerType(32));
    int index = op.getDeviceNames().size();
    for (auto use : op.getOperation()->getUsers()) {
      // Skip if it doesn't feed into case. Alternatively this could always

  }

  // Don't prune if the condition block argument has any user.
  if (!cond_block_argument.use_empty()) return false;

  // Don't prune if `body_yield_operand` has more than one use (that would mean
  // it feeds into another op apart from `Yield`).
  if (!body_yield_operand.hasOneUse()) return false;

  // Don't prune if any other result of the candidate op is used.
  for (Value candidate_result : candidate_op->getResults()) {