type argset struct {
	args   unsafe.Pointer
	retval uintptr
}

// wrapper for syscall package to call cgocall for libc (cgo) calls.
//
//go:linkname syscall_cgocaller syscall.cgocaller
//go:nosplit
//go:uintptrescapes
func syscall_cgocaller(fn unsafe.Pointer, args ...uintptr) uintptr {
	as := argset{args: unsafe.Pointer(&args[0])}
	cgocall(fn, unsafe.Pointer(&as))
	return as.retval
}

  for (int i = 0, end = ctx->num_outputs(); i < end; ++i) {
    const TensorShape& shape = output_tensor_shapes[i];
    const DataType& type = compilation_result->outputs[i].type;
    VLOG(2) << "Populating output for retval " << i << " shape "
            << shape.DebugString() << " type " << DataTypeString(type);

    if (compilation_result->outputs[i].is_constant) {
      TF_RETURN_IF_ERROR(SetOutputForConstant(

    return false;
  }

  // _Arg nodes in a top-level function represent feeds and _Retval nodes in a
  // top-level function represent fetches.
  if (stack_depth == 1 &&
      (node.type_string() == "_Arg" || node.type_string() == "_Retval")) {
    absl::string_view uncompilable_reason = "top level _Arg or _Retval";
    MaybeMarkUncompilableNode(uncompilable_reason, *stack_trace,

	SYS_EXEC_SYS_UNREGISTER    = 466 // { int exec_sys_unregister(int id); }
	SYS_SYS_CHECKPOINT         = 467 // { int sys_checkpoint(int type, int fd, pid_t pid, int retval); }
	SYS_MOUNTCTL               = 468 // { int mountctl(const char *path, int op, int fd, const void *ctl, int ctllen, void *buf, int buflen); }

    Output arg1 = ops::_Arg(s.WithOpName("arg1"), DT_RESOURCE, 1);
    Output arg2 = ops::_Arg(s.WithOpName("arg2"), DT_INT32, 2);
    auto ret0 = ops::_Retval(s.WithOpName("ret0"), arg1, 0);
    auto ret1 = ops::_Retval(s.WithOpName("ret1"), arg0, 1);
    auto ret2 = ops::_Retval(s.WithOpName("ret2"), arg2, 2);
    std::unique_ptr<Graph> g(new Graph(OpRegistry::Global()));
    TF_CHECK_OK(s.ToGraph(g.get()));

                              PatternRewriter &rewriter) {
  if (concat.getVal().size() < 2)
    return rewriter.notifyMatchFailure(
        concat, "Concatenate op should have at least two operands");

  auto first = concat.getVal()[0].getDefiningOp<mhlo::SliceOp>();
  auto second = concat.getVal()[1].getDefiningOp<mhlo::SliceOp>();
  if (!first || !second)

func i64tor(x int64Val) ratVal   { return ratVal{newRat().SetInt64(int64(x))} }
func i64tof(x int64Val) floatVal { return floatVal{newFloat().SetInt64(int64(x))} }
func itor(x intVal) ratVal       { return ratVal{newRat().SetInt(x.val)} }
func itof(x intVal) floatVal     { return floatVal{newFloat().SetInt(x.val)} }
func rtof(x ratVal) floatVal     { return floatVal{newFloat().SetRat(x.val)} }
func vtoc(x Value) complexVal    { return complexVal{x, int64Val(0)} }

  TFE_TensorHandle* retvals[1] = {nullptr};
  int num_retvals = 1;
  TFE_Execute(func, &retvals[0], &num_retvals, status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  ASSERT_EQ(1, num_retvals);
  TF_Tensor* t = TFE_TensorHandleResolve(retvals[0], status);
  ASSERT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TFE_DeleteTensorHandle(retvals[0]);
  float sum = 0;

    ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
    TFE_TensorHandle* retvals[1];
    int num_retvals = 1;
    TFE_Execute(shape_op, &retvals[0], &num_retvals, status.get());
    ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());

    device_type = TFE_TensorHandleDeviceType(retvals[0], status.get());
    ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());

  add_attrs(g.node());

  auto out0 = ops::_Retval(scope.WithOpName("b_identity_0_retval_RetVal"),
                           b_identity, 0);
  auto out1 = ops::_Retval(scope.WithOpName("e_0_retval_RetVal"), e, 1);
  auto out2 = ops::_Retval(scope.WithOpName("g_0_retval_RetVal"), g, 2);
  auto out3 =
      ops::_Retval(scope.WithOpName("readu_0_retval_RetVal"), read_u, 3);