Add eval method to OVModels

Author: echarlaix

optimum/intel/openvino/modeling_base.py

@@ -448,6 +448,9 @@ def half(self):
         self.request = None
         return self
 
+    def eval(self):
+        return self
+
     def forward(self, *args, **kwargs):
         raise NotImplementedError
 

tests/openvino/test_modeling.py

@@ -115,6 +115,7 @@ def test_load_from_hub_and_save_model(self):
         tokenizer = AutoTokenizer.from_pretrained(self.OV_MODEL_ID)
         tokens = tokenizer("This is a sample input", return_tensors="pt")
         loaded_model = OVModelForSequenceClassification.from_pretrained(self.OV_MODEL_ID)
+        loaded_model.eval()
         self.assertIsInstance(loaded_model.config, PretrainedConfig)
         loaded_model_outputs = loaded_model(**tokens)