code: def test_init_with_wrong_logits_shape(self):
      # input logits with wrong shape
      wrong_logits = paddle.rand(
          shape=(self.batch_size, self.num_actions)
      )
      with self.assertRaises(AssertionError):
          DiagGaussianDistribution(wrong_logits)
  
imports: import random
  import numpy
  import paddle
  import unittest
  import copy
  from parl.core.paddle.policy_distribution import DiagGaussianDistribution, CategoricalDistribution, SoftCategoricalDistribution
label_desc: Use image node_id 8 for calling the DiagGaussianDistributionTest obj's underlying member method code with example usage: obj.test_init_with_wrong_logits_shape() without return types