class_docstr: Test cases for random-number generating operators.
code: def testEmpty(self):
      with self.session():
          with self.test_scope():
              x = random_ops.multinomial(
                  array_ops.zeros([42, 40]),
                  0,
                  output_dtype=dtypes.int32,
              )
              y = self.evaluate(x)
              self.assertEqual(y.shape, (42, 0))
  
imports: import collections
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import random_seed
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.platform import googletest
  from tensorflow.python.platform import test
label_desc: Use image node_id 10 for calling the CategoricalTest obj's underlying member method code with example usage: obj.testEmpty() without return types