code: def testEmpty(self):
      classes = 5
      with test_util.use_gpu():
          for batch in 0, 3:
              for samples in 0, 7:
                  x = self.evaluate(
                      random_ops.multinomial(
                          array_ops.zeros([batch, classes]), samples
                      )
                  )
                  self.assertEqual(x.shape, (batch, samples))
  
imports: import collections
  import timeit
  import numpy
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 14 for calling the MultinomialTest obj's underlying member method code with example usage: obj.testEmpty() without return types