code: def testUnknownAndInvalidShape(self):
      logits = tf1.placeholder_with_default(19.84, shape=None)
      with self.assertRaises(
          ValueError, "Argument `logits` must have rank at least 1."
      ):
          dist = roc.ExpRelaxedOneHotCategorical(
              0.75, logits=logits, validate_args=True
          )
          self.evaluate(dist.sample(seed=test_util.test_seed()))
  
      logits = tf1.placeholder_with_default([[], []], shape=None)
      with self.assertRaises(
          ValueError,
          "Argument `logits` must have final dimension >= 1.",
      ):
          dist = roc.ExpRelaxedOneHotCategorical(
              12.0, logits=logits, validate_args=True
          )
          self.evaluate(dist.sample(seed=test_util.test_seed()))
  
imports: from absl.testing import parameterized
  import numpy
  from scipy.special import gamma
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.distributions import relaxed_onehot_categorical
  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 9 for calling the RelaxedOneHotCategoricalTest obj's underlying member method code with example usage: obj.testUnknownAndInvalidShape() without return types