Skip test_mixture_same_family_mean_shape in Dynamo

Not knowledgeable about dynamo really; making a call because test seems simple/reasonable and many other torch.distribution tests skip if Dynamo.

test/distributions/test_distributions.py

@@ -4048,6 +4048,7 @@ def test_continuous_bernoulli_shape_tensor_params(self):
         self.assertRaises(ValueError, continuous_bernoulli.log_prob, self.tensor_sample_2)
         self.assertEqual(continuous_bernoulli.log_prob(torch.ones(3, 1, 1)).size(), torch.Size((3, 3, 2)))
 
+    @skipIfTorchDynamo("Not a TorchDynamo suitable test")
     def test_mixture_same_family_mean_shape(self):
         mix_distribution = Categorical(torch.ones([3, 1, 3]))
         component_distribution = Normal(torch.zeros([3, 3, 3]), torch.ones([3, 3, 3]))