class_docstr: Tests correctness of the floor transformation.
code: def testVariableTemperature(self):
      temperature = tf.Variable(1.0)
      b = softfloor.Softfloor(temperature, validate_args=True)
      self.evaluate(temperature.initializer)
      self.assertIs(temperature, b.temperature)
      self.assertEqual((), self.evaluate(b.forward(0.5)).shape)
      with self.assertRaisesOpError(
          "Argument `temperature` was not positive."
      ):
          with tf.control_dependencies([temperature.assign(0.0)]):
              self.evaluate(b.forward(0.5))
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import softfloor
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math.gradient import value_and_gradient
label_desc: Use image node_id 14 for calling the _SoftFloorBijectorBase obj's underlying member method code with example usage: obj.testVariableTemperature() without return types