code: def testValidateVariableArgs(self):
      amplitude = tf.Variable(1.0)
      length_scale = tf.Variable(1.0)
      period = tf.Variable(1.0)
      k = exp_sin_squared.ExpSinSquared(
          amplitude=amplitude,
          length_scale=length_scale,
          period=period,
          validate_args=True,
      )
      self.evaluate([v.initializer for v in k.variables])
      self.evaluate(k.apply([1.0], [1.0]))
  
      with self.assertRaisesOpError("must be positive"):
          with tf.control_dependencies([period.assign(-7.3)]):
              self.evaluate(k.apply([1.0], [1.0]))
  
file_path: probability/tensorflow_probability/python/math/psd_kernels/exp_sin_squared_test.py
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math.psd_kernels import exp_sin_squared
label_desc: Use image node_id 7 for calling the ExpSinSquaredTest obj's underlying member method code with example usage: obj.testValidateVariableArgs() without return types