Fix incorrect remote mode warnings (#828)

* Fix/Remove incorrect remote mode warnings.

* Adding in grpc code

model_analyzer/analyzer.py

@@ -403,9 +403,13 @@ def _warn_if_other_models_loaded_on_remote_server(self, client):
         repository_index = client.get_model_repository_index()
         profile_model_names = [pm.model_name() for pm in self._config.profile_models]
 
-        for model in repository_index:
-            if model["name"] not in profile_model_names:
-                model_name = model["name"]
+        model_names_loaded_on_server = []
+        for repository_item in repository_index:
+            if client.is_model_ready(repository_item["name"]):
+                model_names_loaded_on_server.append(repository_item["name"])
+
+        for model_name in model_names_loaded_on_server:
+            if model_name not in profile_model_names:
                 logger.warning(
                     f"A model not being profiled ({model_name}) is loaded on the remote Tritonserver. "
                     "This could impact the profile results."

model_analyzer/triton/client/grpc_client.py

@@ -84,3 +84,9 @@ def get_model_repository_index(self):
         Returns the JSON dict holding the model repository index.
         """
         return self._client.get_model_repository_index(as_json=True)["models"]
+
+    def is_model_ready(self, model_name: str) -> bool:
+        """
+        Returns true if the model is loaded on the server
+        """
+        return self._client.is_model_ready(model_name)

model_analyzer/triton/client/http_client.py

@@ -99,3 +99,9 @@ def get_model_repository_index(self):
         Returns the JSON dict holding the model repository index.
         """
         return self._client.get_model_repository_index()
+
+    def is_model_ready(self, model_name: str) -> bool:
+        """
+        Returns true if the model is loaded on the server
+        """
+        return self._client.is_model_ready(model_name)

model_analyzer/triton/server/server_factory.py

@@ -163,11 +163,6 @@ def _get_remote_server_handle(config):
             ' using the "local" or "docker" mode if you want to accurately'
             " monitor the GPU memory usage for different models."
         )
-        logger.warning(
-            'Config sweep parameters are ignored in the "remote" mode because'
-            " Model Analyzer does not have access to the model repository of"
-            " the remote Triton Server."
-        )
 
         return server