code: def testCutoffsMustBeIntegerValuedIfValidateArgsTrue(self):
      low = tf1.placeholder_with_default(1.5, shape=[])
      with self.assertRaisesOpError("has non-integer components."):
          qdist = qd.QuantizedDistribution(
              distribution=normal.Normal(loc=0.0, scale=1.0),
              low=low,
              high=10.0,
              validate_args=True,
          )
          self.evaluate(qdist.sample(seed=test_util.test_seed()))
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import exponential
  from tensorflow_probability.python.distributions import logistic
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import quantized_distribution
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 17 for calling the QuantizedDistributionTest obj's underlying member method code with example usage: obj.testCutoffsMustBeIntegerValuedIfValidateArgsTrue() without return types