code: def testValidateConcentration(self, dtype):
      dimension = 3
      concentration = tf.Variable(0.5, dtype=dtype)
      d = lkj.LKJ(dimension, concentration, validate_args=True)
      with self.assertRaisesOpError(
          "Argument `concentration` must be >= 1."
      ):
          self.evaluate([v.initializer for v in d.variables])
          self.evaluate(d.sample(seed=test_util.test_seed()))
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import lkj
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.internal import assert_util
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 15 for calling the LKJTest obj's underlying member method code with example usage: obj.testValidateConcentration(dtype) without return types