Support NNCF 2.10

optimum/intel/openvino/configuration.py

@@ -20,6 +20,7 @@
 
 import nncf
 import torch
+from nncf.parameters import StrEnum
 from nncf.quantization.advanced_parameters import OverflowFix
 from transformers import PretrainedConfig
 from transformers.utils.quantization_config import QuantizationConfigMixin, QuantizationMethod
@@ -351,11 +352,12 @@ def __init__(
                 "Please check your configuration."
             )
         super().__init__(ignored_scope, num_samples, False)
-        # TODO: remove checks below once NNCF is updated to 2.10
-        if isinstance(overflow_fix, str):
-            overflow_fix = OverflowFix(overflow_fix)
-        if isinstance(preset, str):
-            preset = nncf.QuantizationPreset(preset)
+        # TODO: remove code below once NNCF < 2.10 support is dropped
+        if OverflowFix is not StrEnum:
+            if isinstance(overflow_fix, str):
+                overflow_fix = OverflowFix(overflow_fix)
+            if isinstance(preset, str):
+                preset = nncf.QuantizationPreset(preset)
 
         self.preset = preset
         self.model_type = model_type
@@ -364,8 +366,8 @@ def __init__(
         self.post_init()
 
     def to_dict(self) -> Dict[str, Any]:
-        # TODO: remove code below once NNCF is updated to 2.10
-        if isinstance(self.overflow_fix, Enum) or isinstance(self.preset, Enum):
+        # TODO: remove code below once NNCF < 2.10 support is dropped
+        if OverflowFix is not StrEnum and (isinstance(self.overflow_fix, Enum) or isinstance(self.preset, Enum)):
             overflow_fix_value = (
                 None
                 if self.overflow_fix is None