%0 = "tf.XlaCallModule"(%arg0, %cst_0, %cst_1) <{Sout = [#tf_type.shape<1x4x4x3>], module = "", version = 9 : i64}> {_entry_function = @composite_fn_1, _original_entry_function = "composite_fn_1", _tfl_quant_trait = "fully_quantizable"} : (tensor<1x4x4x3xf32>, tensor<3x1x1x3xf32>, tensor<3xf32>) -> tensor<1x4x4x3xf32>

    // CHECK: "tf.XlaCallModule"(%[[dq_act]], %[[dq_weight]]
    %1 = "tf.XlaCallModule"(%0, %cst_0, %cst) {
      Sout = [#tf_type.shape<1x2x2x2>], config = "",
      module = "composite_conv2d_with_bias_and_relu6_fn_10",
      _entry_function = @composite_conv2d_with_bias_and_relu6_fn_10,

    %3 = "quantfork.dcast"(%2) : (tensor<2x3x!quant.uniform<i8<-127:127>:f32:1, {6.000000e-03,6.000000e-03,6.000000e-03}>>) -> tensor<2x3xf32>

	sout := strings.TrimSpace(string(out))
	if !strings.Contains(sout, "lo:") {
		t.Fatalf("Expected lo network interface to exist, got %s", sout)
	}

	origLines := strings.Split(orig, "\n")
	lines := strings.Split(sout, "\n")
	if len(lines) >= len(origLines) {
		t.Logf("%s before unshare:\n%s", path, orig)
		t.Logf("%s after unshare:\n%s", path, sout)

    %7 = "quantfork.dcast"(%6) : (tensor<2x3x1x1024x!quant.uniform<i8:f32, 5.000000e-01:2>>) -> tensor<2x3x1x1024xf32>

    // CHECK: %[[RESULT_CAST:.*]] = "tf.Cast"(%[[RESULT]]#0) <{Truncate = false}> : (tensor<10xbf16>) -> tensor<10xf32>
    %0:2 = "tf.XlaCallModule"(%arg0, %arg1, %arg2) {
      Sout = [#tf_type.shape<10>], dim_args_spec = [],
      _entry_function = @main_0,
      _stablehlo_module_attrs = { mhlo.num_partitions = 1 }, module = "",
      platforms = [], version = 5 : i64

		scmd := testenv.Command(t, sprog, "-o", targ, binFile)
		scmd.Dir = dir
		if sout, serr := scmd.CombinedOutput(); serr != nil {
			t.Fatalf("failed to strip %v: %v:\n%s", scmd.Args, serr, sout)
		} else {
			// Non-empty output indicates failure, as mentioned above.
			if len(string(sout)) != 0 {
				t.Errorf("unexpected outut from %s:\n%s\n", sprog, string(sout))
			}
		}
		rcmd := testenv.Command(t, filepath.Join(dir, targ))

      %outputs_2, %control_3 = tf_executor.island wraps "tf.XlaCallModule"(%outputs_0) {Sout = [#tf_type.shape<2x3>], device = "", dim_args_spec = [], disabled_checks = [], function_list = [], has_token_input_output = false, module = "ML\EFR\01StableHLO_v0.9.0\00\01\17\05\01\03\01\03\05\03\07\07\09\0B\03]?\0B\01)\07\0F\0B+\0B\0F\0B\0B\0B3...

    %0 = "quantfork.stats"(%arg0) {layerStats = dense<[6.00000000e-6, 9.00000000e-1]> : tensor<2xf32>} : (tensor<1x2xf32>) -> tensor<1x2xf32>

    %0 = "tf.XlaCallModule"(%output, %cst) <{Sout = [#tf_type.shape<10x1x3>], dim_args_spec = [], disabled_checks = [], function_list = [], has_token_input_output = false, module = "", platforms = ["CPU"], version = 9 : i64}> {_entry_function = @composite_dot_general_with_relu_fn_1, _original_entry_function...