code: def testValidateVariableArgs(self):
      logits = tf.Variable(np.ones([7], np.float32))
      locs = tf.Variable(np.ones([7, 1], np.float32))
      scales = tf.Variable(np.ones([7, 1], np.float32))
      k = spectral_mixture.SpectralMixture(
          logits=logits, locs=locs, scales=scales, validate_args=True
      )
      self.evaluate([v.initializer for v in k.variables])
  
      with self.assertRaisesOpError("must be positive"):
          with tf.control_dependencies(
              [scales.assign(-np.ones([7, 1], np.float32))]
          ):
              self.evaluate(k.apply([1.0], [1.0]))
  
file_path: probability/tensorflow_probability/python/math/psd_kernels/spectral_mixture_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 spectral_mixture
label_desc: Use image node_id 5 for calling the SpectralMixtureTest obj's underlying member method code with example usage: obj.testValidateVariableArgs() without return types