code: def testAssertionsProbs(self):
      probs = tf.Variable([0.1, 0.7, 0.0])
      with self.assertRaisesOpError("Argument `probs` must sum to 1."):
          d = roc.ExpRelaxedOneHotCategorical(
              0.3, probs=probs, 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 3 for calling the ExpRelaxedOneHotCategoricalFromVariableTest obj's underlying member method code with example usage: obj.testAssertionsProbs() without return types