code: def testGammaShape(self):
      alpha = constant_op.constant([3.0] * 5)
      beta = constant_op.constant(11.0)
      gamma = gamma_lib.Gamma(concentration=alpha, rate=beta)
  
      self.assertEqual(self.evaluate(gamma.batch_shape_tensor()), (5,))
      self.assertEqual(gamma.batch_shape, tensor_shape.TensorShape([5]))
      self.assertAllEqual(self.evaluate(gamma.event_shape_tensor()), [])
      self.assertEqual(gamma.event_shape, tensor_shape.TensorShape([]))
  
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 1 for calling the GammaTest obj's underlying member method code with example usage: obj.testGammaShape() without return types