code: def testScalarInput(self):
      ret = random_grad.add_leading_unit_dimensions(1.0, 2)
      self.assertAllEqual(ret.shape, [1, 1])
  
imports: import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_stateless_random_ops_v2
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_grad
  from tensorflow.python.ops import random_ops
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 3 for calling the AddLeadingUnitDimensionsTest obj's underlying member method code with example usage: obj.testScalarInput() without return types