for (int i = 0; i < model_outputs.size(); i++) {
        if (model_outputs[i]) {
          output_list.outputs.emplace_back(model_outputs[i]);
          output_list.expected_num_outputs += 1;
        } else {
          null_indices.insert(i);
        }
      }
      TF_RETURN_IF_ERROR(dyn_cast<tracing::TracingContext>(func_ctx.get())
                             ->Finalize(&output_list, &func));

    "input": "aa--",
    "output": "aa--"
  },
  {
    "input": "a†--",
    "output": "xn--a---kp0a"
  },
  {
    "input": "ab--c",
    "output": "ab--c"
  },
  {
    "comment": "Label with leading hyphen",
    "input": "-x",
    "output": "-x"
  },
  {
    "input": "-†",
    "output": "xn----xhn"
  },
  {
    "input": "-x.xn--zca",
    "output": "-x.xn--zca"
  },
  {

    TF_Output inputs[2];
    TF_Output outputs[1];
    TF_Output grad_outputs[2];
    TF_Output expected_grad_outputs[2];

    BuildSuccessGraph(inputs, outputs);
    BuildExpectedGraph(grad_inputs_provided, expected_grad_outputs);

    AddGradients(grad_inputs_provided, nullptr, inputs, 2, outputs, 1,
                 grad_outputs);

	cmd := "profile dump -f " + profilePath
	if configPath != "" {
		cmd += " --config-path " + configPath
	}
	if len(chartSource) > 0 {
		cmd += " --manifests=" + string(chartSource)
	}
	if outfmt != "" {
		cmd += " --output=" + outfmt
	}
	return runCommand(cmd)
}

func TestProfileDumpFlags(t *testing.T) {

  void SetOutputs(std::initializer_list<TF_Operation*> outputs);
  void SetOutputs(const std::vector<TF_Output>& outputs);
  void SetTargets(std::initializer_list<TF_Operation*> targets);

  void Run(TF_Status* s);

  void CloseAndDelete(TF_Status* s);

  TF_Tensor* output_tensor(int i) { return output_values_[i]; }

  TF_Session* mutable_session() { return session_; }

 private:

-A ISTIO_OUTPUT -o lo -m owner ! --uid-owner 1000670000 -j RETURN
-A ISTIO_OUTPUT -m owner --uid-owner 1000670000 -j RETURN
-A ISTIO_OUTPUT -o lo ! -d 127.0.0.1/32 -p tcp ! --dport 15008 -m owner --gid-owner 1000670001 -j ISTIO_IN_REDIRECT
-A ISTIO_OUTPUT -o lo -m owner ! --gid-owner 1000670001 -j RETURN
-A ISTIO_OUTPUT -m owner --gid-owner 1000670001 -j RETURN
-A ISTIO_OUTPUT -d 127.0.0.1/32 -j RETURN
-A ISTIO_OUTPUT -j ISTIO_REDIRECT

  sources.reserve(output_tensors.size());
  for (const TapeTensor& output_tensor : output_tensors) {
    // Ownership of `aid` transferred to CallBackwardFunction below.
    Gradient* aid;
    if (output_tensor.GetDType() == tensorflow::DT_VARIANT) {
      // Note: Needs to be zeros rather than ones since there's currently no
      // ones_like for variants.
      aid = output_tensor.ZerosLike();
    } else {

	cmd.SilenceUsage = true

	fErr := cmd.Execute()
	output := out.String()

	if c.ExpectedOutput != "" && c.ExpectedOutput != output {
		t.Fatalf("Unexpected output for '%s %s'\n got: %q\nwant: %q", cmd.Name(),
			strings.Join(c.Args, " "), output, c.ExpectedOutput)
	}

	if c.ExpectedRegexp != nil && !c.ExpectedRegexp.MatchString(output) {
		t.Fatalf("Output didn't match for '%s %s'\n got %v\nwant: %v", cmd.Name(),

iptables -t nat -N ISTIO_OUTPUT
iptables -t mangle -N ISTIO_OUTPUT
iptables -t mangle -A PREROUTING -j ISTIO_PRERT
iptables -t mangle -A OUTPUT -j ISTIO_OUTPUT
iptables -t nat -A OUTPUT -j ISTIO_OUTPUT
iptables -t mangle -A ISTIO_PRERT -m mark --mark 0x539/0xfff -j CONNMARK --set-xmark 0x111/0xfff
iptables -t mangle -A ISTIO_PRERT -s 169.254.7.127 -p tcp -m tcp -j ACCEPT
iptables -t nat -A ISTIO_OUTPUT -d 169.254.7.127 -p tcp -m tcp -j ACCEPT

  tape.RecordOperation(inputs, {exp_output}, gradient_function.release());
  TF_RETURN_IF_ERROR(tape.ComputeGradient(ctx,
                                          /*targets*/ {exp_output},
                                          /*sources=*/inputs,
                                          /*output_gradients=*/{},
                                          /*result=*/outputs));
  exp_output->Unref();
  return absl::OkStatus();
}