fix quantization tests

Author: eaidova

tests/openvino/test_exporters_cli.py

@@ -425,7 +425,11 @@ def test_exporters_cli_full_quantization(
 
             submodels = []
             if task == "automatic-speech-recognition":
-                submodels = [model.encoder, model.decoder, model.decoder_with_past]
+                submodels = [model.encoder, model.decoder]
+                if model.decoder_with_past is not None:
+                    submodels.append(model.decoder_with_past)
+                else:
+                    expected_num_fq_nodes_per_model = expected_num_fq_nodes_per_model[:-1]
             self.assertEqual(len(expected_num_fq_nodes_per_model), len(submodels))
             for i, model in enumerate(submodels):
                 actual_num_fq_nodes, actual_num_weight_nodes = get_num_quantized_nodes(model)

tests/openvino/test_quantization.py

@@ -111,7 +111,7 @@ class OVQuantizerTest(unittest.TestCase):
                 weight_only=False,
                 smooth_quant_alpha=0.95,
             ),
-            (14, 22, 21) if is_transformers_version("<=", "4.42.4") else (14, 26, 25),
+            (14, 22, 21) if is_transformers_version("<=", "4.42.4") else (14, 22, 25),
             (14, 21, 17) if is_transformers_version("<=", "4.42.4") else (14, 22, 18),
         ),
     ]