code: def testUnknownShape(self):
      logits = tf1.placeholder_with_default(
          [[-1000.0, 1000.0], [1000.0, -1000.0]], shape=None
      )
      dist = oc.OneHotCategorical(logits, validate_args=True)
      sample = dist.sample(seed=test_util.test_seed())
      # Batch entry 0 will sample class 1, batch entry 1 will sample class 0.
      sample_value_batch = self.evaluate(sample)
      self.assertAllEqual([[0, 1], [1, 0]], sample_value_batch)
  
imports: import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import onehot_categorical
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.util import deferred_tensor
label_desc: Use image node_id 7 for calling the OneHotCategoricalTest obj's underlying member method code with example usage: obj.testUnknownShape() without return types