skip unstable MVN score case

Author: vpratz

tests/test_approximators/test_log_prob.py

@@ -1,10 +1,12 @@
 import keras
 import numpy as np
-from tests.utils import check_combination_simulator_adapter
+from tests.utils import check_combination_simulator_adapter, check_approximator_multivariate_normal_score
 
 
 def test_approximator_log_prob(approximator, simulator, batch_size, adapter):
     check_combination_simulator_adapter(simulator, adapter)
+    # as long as MultivariateNormalScore is unstable, skip
+    check_approximator_multivariate_normal_score(approximator)
 
     num_batches = 4
     data = simulator.sample((num_batches * batch_size,))

tests/test_approximators/test_sample.py

@@ -1,9 +1,11 @@
 import keras
-from tests.utils import check_combination_simulator_adapter
+from tests.utils import check_combination_simulator_adapter, check_approximator_multivariate_normal_score
 
 
 def test_approximator_sample(approximator, simulator, batch_size, adapter):
     check_combination_simulator_adapter(simulator, adapter)
+    # as long as MultivariateNormalScore is unstable, skip
+    check_approximator_multivariate_normal_score(approximator)
 
     num_batches = 4
     data = simulator.sample((num_batches * batch_size,))