fix: Remove deprecated update_endpoint from deploy() args in TensorFlowModel (#3824)

Author: ivan-khvostishkov

src/sagemaker/tensorflow/model.py

@@ -317,14 +317,14 @@ def deploy(
         kms_key=None,
         wait=True,
         data_capture_config=None,
-        update_endpoint=None,
         async_inference_config=None,
         serverless_inference_config=None,
         volume_size=None,
         model_data_download_timeout=None,
         container_startup_health_check_timeout=None,
         inference_recommendation_id=None,
         explainer_config=None,
+        **kwargs,
     ):
         """Deploy a Tensorflow ``Model`` to a SageMaker ``Endpoint``."""
 
@@ -348,9 +348,9 @@ def deploy(
             volume_size=volume_size,
             model_data_download_timeout=model_data_download_timeout,
             container_startup_health_check_timeout=container_startup_health_check_timeout,
-            update_endpoint=update_endpoint,
             inference_recommendation_id=inference_recommendation_id,
             explainer_config=explainer_config,
+            **kwargs,
         )
 
     def _eia_supported(self):