code: def testCutoffsCanBeFloatValuedIfValidateArgsFalse(self):
      qdist = qd.QuantizedDistribution(
          distribution=normal.Normal(
              loc=0.0, scale=1.0, validate_args=False
          ),
          low=1.5,
          high=10.11,
      )
  
      self.assertFalse(qdist.validate_args)  # Default is True.
  
      # Should not raise
      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 18 for calling the QuantizedDistributionTest obj's underlying member method code with example usage: obj.testCutoffsCanBeFloatValuedIfValidateArgsFalse() without return types