Import ModuleExtension under try-except in OVC (#23663)

### Details:
 - *Import ModuleExtension under try-except*

### Tickets:
 - *ticket-id*

tools/ovc/openvino/tools/ovc/convert_impl.py

@@ -38,7 +38,6 @@ from openvino.tools.ovc.moc_frontend.paddle_frontend_utils import paddle_fronten
 
 # pylint: disable=no-name-in-module,import-error
 from openvino.frontend import FrontEndManager, OpConversionFailure, TelemetryExtension
-from openvino.frontend.pytorch.module_extension import ModuleExtension
 from openvino.runtime import get_version as get_rt_version
 from openvino.runtime import Type, PartialShape
 
@@ -154,6 +153,18 @@ def get_moc_frontends(argv: argparse.Namespace):
     return moc_front_end, available_moc_front_ends
 
 
+def filtered_extensions(extensions):
+    try:
+        new_extensions = []
+        from openvino.frontend.pytorch.module_extension import ModuleExtension
+        for ext in extensions:
+            if not isinstance(ext, ModuleExtension):
+                new_extensions.append(ext)
+        return new_extensions
+    except:
+        return extensions
+
+
 def prepare_ir(argv: argparse.Namespace):
     argv = arguments_post_parsing(argv)
     t = tm.Telemetry()
@@ -173,9 +184,8 @@ def prepare_ir(argv: argparse.Namespace):
         t.send_event("ovc", "conversion_method", moc_front_end.get_name() + "_frontend")
         moc_front_end.add_extension(TelemetryExtension("ovc", t.send_event, t.send_error, t.send_stack_trace))
         if any_extensions_used(argv):
-            for extension in argv.extension:
-                if not isinstance(extension, ModuleExtension):
-                    moc_front_end.add_extension(extension)
+            for extension in filtered_extensions(argv.extension):
+                moc_front_end.add_extension(extension)
         ov_model = moc_pipeline(argv, moc_front_end)
         return ov_model
 

tools/ovc/openvino/tools/ovc/moc_frontend/pytorch_frontend_utils.py

@@ -8,24 +8,25 @@ import numpy as np
 # pylint: disable=no-name-in-module,import-error
 from openvino.runtime import Tensor, PartialShape
 from openvino.tools.ovc.error import Error
-from openvino.frontend.pytorch.module_extension import ModuleExtension
 
 
-def extract_module_extensions(args):
-    extensions = args.get('extension', [])
-    if not isinstance(extensions, (list, tuple)):
-        extensions = [extensions]
-    return {extension.module: extension for extension in extensions if isinstance(extension, ModuleExtension)}
-
 
 def get_pytorch_decoder(model, example_inputs, args):
     try:
         from openvino.frontend.pytorch.ts_decoder import TorchScriptPythonDecoder
         from openvino.frontend.pytorch.fx_decoder import TorchFXPythonDecoder
+        from openvino.frontend.pytorch.module_extension import ModuleExtension
         import torch
     except Exception as e:
         log.error("PyTorch frontend loading failed")
         raise e
+    
+    def extract_module_extensions(args):
+        extensions = args.get('extension', []) or []
+        if not isinstance(extensions, (list, tuple)):
+            extensions = [extensions]
+        return {extension.module: extension for extension in extensions if isinstance(extension, ModuleExtension)}
+
     if 'nncf' in sys.modules:
         is_good_version = True
         try: