code: def testNegativeMinLogits(self):
      random_seed.set_random_seed(78844)
      with test_util.use_gpu():
          logits = constant_op.constant(
              [[np.finfo(np.float32).min] * 1023 + [0]]
          )
          num_samples = 1000
          samples = self.evaluate(
              random_ops.multinomial(logits, num_samples)
          )
          self.assertAllEqual([[1023] * num_samples], 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 16 for calling the MultinomialTest obj's underlying member method code with example usage: obj.testNegativeMinLogits() without return types