code: def testGammaWithSoftplusConcentrationRate(self):
      alpha_v = constant_op.constant([0.0, -2.1], name="alpha")
      beta_v = constant_op.constant([1.0, -3.6], name="beta")
      gamma = gamma_lib.GammaWithSoftplusConcentrationRate(
          concentration=alpha_v, rate=beta_v
      )
      self.assertAllEqual(
          self.evaluate(nn_ops.softplus(alpha_v)),
          self.evaluate(gamma.concentration),
      )
      self.assertAllEqual(
          self.evaluate(nn_ops.softplus(beta_v)),
          self.evaluate(gamma.rate),
      )
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops.distributions import gamma
  from tensorflow.python.ops.distributions import kullback_leibler
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 22 for calling the GammaTest obj's underlying member method code with example usage: obj.testGammaWithSoftplusConcentrationRate() without return types