code: def testAssertionsLogits(self):
      logits = deferred_tensor.TransformedVariable(
          0.0, tfb.Identity(), shape=None
      )
      with self.assertRaisesRegexp(
          ValueError, "Argument `logits` must have rank at least 1."
      ):
          d = roc.ExpRelaxedOneHotCategorical(
              0.7, logits=logits, validate_args=True
          )
          self.evaluate([v.initializer for v in d.variables])
          self.evaluate(d.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 5 for calling the ExpRelaxedOneHotCategoricalFromVariableTest obj's underlying member method code with example usage: obj.testAssertionsLogits() without return types