// {"Flags":0,"ParamFlags":[32],"ResultFlags":null}
// callsite: acrosscall.go:58:9|0 flagstr "" flagval 0 score 8 mask 0 maskstr ""
// <endcallsites>
// <endfuncpreamble>
func T_feeds_if_via_call(x int) {
	feedsif(x)
}

// acrosscall.go T_feeds_if_via_call_conditional 69 0 1
// ParamFlags
//   0 ParamMayFeedIfOrSwitch
// <endpropsdump>
// {"Flags":0,"ParamFlags":[64],"ResultFlags":null}

  input: "z:2"
  attr {
    key: "T"
    value {
      type: DT_FLOAT
    }
  }
}
versions {
  producer: 230
}

# Test non zero index output tensors as feeds. Original ops where their outputs
# are replaced with feeds are preserved and args and rets are lifted to the
# function. Rets that happen to coincide with a feed should have its value be
# of the feed.
#
# CHECK-LABEL: func @main

	// 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<Tensor>* outputs,
                          RunMetadata* run_metadata) const {
  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()),

    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<Operation> run_outputs;
    std::vector<Tensor> out_tensors;
    TF_ASSERT_OK(session.Run(run_options, feeds, grad_outputs_, run_outputs,
                             &out_tensors, run_metadata));

   * 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;
  }

   * 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());

///     std::vector<Tensor> outputs;
///
///     Status s = session.Run({ {a, {1}} }, {c}, &outputs);
///     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.

  TF_Session* sess = TF_NewSession(graph, opts, s);
  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);