BL	runtime·reflectcallmove(SB)
	RET

CALLFN(·call16, 16)
CALLFN(·call32, 32)
CALLFN(·call64, 64)
CALLFN(·call128, 128)
CALLFN(·call256, 256)
CALLFN(·call512, 512)
CALLFN(·call1024, 1024)
CALLFN(·call2048, 2048)
CALLFN(·call4096, 4096)
CALLFN(·call8192, 8192)
CALLFN(·call16384, 16384)
CALLFN(·call32768, 32768)
CALLFN(·call65536, 65536)
CALLFN(·call131072, 131072)
CALLFN(·call262144, 262144)

  Block* then_block = builder.createBlock(merge_block);
  Operation* call_op = CallFn(loc, get_operand, op.then_function(), &builder);

  auto get_then_result = [&](int i) { return call_op->getResult(i); };
  JumpToBlock(loc, get_then_result, merge_block, &builder);

  // Set up the 'else' block.
  Block* else_block = builder.createBlock(merge_block);
  call_op = CallFn(loc, get_operand, op.else_function(), &builder);

                         AbstractContext* ctx) {
  auto CallFn = [fn_name, fn, ctx](TaggedValue args_,
                                   TaggedValue kwargs_) -> TaggedValue {
    std::cout << "Calling " << fn_name << std::endl;
    tensorflow::StatusOr<TaggedValue> v = fn.Execute(ctx, args_);
    return v.value();
  };
  return TaggedValue(CallFn);
}

// Import a module from a saved model.
//

			return []reflect.Value{}
		}
		return args[:len(args)-1] // The last Value is an empty magic value.
	}
	for _, callFn := range abiMakeFuncTestCases {
		fnTyp := reflect.TypeOf(callFn).In(0)
		fn := reflect.MakeFunc(fnTyp, makeFuncHandler)
		callFn := reflect.ValueOf(callFn)
		t.Run(runtime.FuncForPC(callFn.Pointer()).Name(), func(t *testing.T) {
			args := []reflect.Value{fn}