[TEST] Rerun tests if sporadic issue in tracing happens (openvinotool…

…kit#26589)

### Details:
 - *Rerun tests if sporadic issue in tracing happens*

### Tickets:
 - *CVS-151277*

tests/layer_tests/py_frontend_tests/test_torchvision_preprocessor.py

@@ -30,6 +30,23 @@ def forward(self, data):
 
 
 def _infer_pipelines(test_input, preprocess_pipeline, input_channels=3):
+    retries = 0
+    max_retries = 3
+    while retries < max_retries:
+        try:
+            return _infer_pipelines_impl(test_input, preprocess_pipeline, input_channels)
+        except RuntimeError as e:
+            if "builtin cannot be used as a value" in e:
+                # This is a potentially sporadic issue
+                print(f"An error occurred: {e}. Retrying...")
+                retries += 1
+            else:
+                raise
+    else:
+        print("Max retries reached. Function execution failed.")
+
+
+def _infer_pipelines_impl(test_input, preprocess_pipeline, input_channels=3):
     torch_model = Convnet(input_channels)
     ov_model = convert_model(torch_model)
     core = Core()

tests/layer_tests/pytorch_tests/pytorch_layer_test_class.py

@@ -67,8 +67,27 @@ def use_torch_export():
             return torch_compile_env == "EXPORT"
         return False
 
+
     def _test(self, model, ref_net, kind, ie_device, precision, ir_version, infer_timeout=60, dynamic_shapes=True,
               **kwargs):
+        retries = 0
+        max_retries = 3
+        while retries < max_retries:
+            try:
+                return self._test_impl(model, ref_net, kind, ie_device, precision, ir_version, infer_timeout, dynamic_shapes, **kwargs)
+            except RuntimeError as e:
+                if "builtin cannot be used as a value" in e:
+                    # This is a potentially sporadic issue
+                    print(f"An error occurred: {e}. Retrying...")
+                    retries += 1
+                else:
+                    raise
+        else:
+            print("Max retries reached. Function execution failed.")
+
+
+    def _test_impl(self, model, ref_net, kind, ie_device, precision, ir_version, infer_timeout=60, dynamic_shapes=True,
+              **kwargs):
         """
         :param enabled_transforms/disabled_transforms: string with idxs of transforms that should be enabled/disabled.
                                                        Example: "transform_1,transform_2"