port fix in sagemaker_serving_tensorflow_container

Port the
[following](aws/sagemaker-tensorflow-serving-container#217)
fix

Signed-off-by: Venky Natham <[email protected]>

Author: aws-vrnatham

container/sagemaker-tensorflow-inferentia/build_artifacts/sagemaker/python_service.py

@@ -150,7 +150,7 @@ def _handle_load_model_post(self, res, data):  # noqa: C901
                 tfs_config_file = "/sagemaker/tfs-config/{}/model-config.cfg".format(model_name)
                 log.info("tensorflow serving model config: \n%s\n", tfs_config)
                 os.makedirs(os.path.dirname(tfs_config_file))
-                with open(tfs_config_file, "w") as f:
+                with open(tfs_config_file, "w", encoding="utf8") as f:
                     f.write(tfs_config)
 
                 batching_config_file = "/sagemaker/batching/{}/batching-config.cfg".format(

container/sagemaker-tensorflow-inferentia/build_artifacts/sagemaker/serve.py

@@ -24,8 +24,8 @@
 logging.basicConfig(level=logging.INFO)
 log = logging.getLogger(__name__)
 
-JS_PING = "js_content ping"
-JS_INVOCATIONS = "js_content invocations"
+JS_PING = "js_content tensorflowServing.ping"
+JS_INVOCATIONS = "js_content tensorflowServing.invocations"
 GUNICORN_PING = "proxy_pass http://gunicorn_upstream/ping"
 GUNICORN_INVOCATIONS = "proxy_pass http://gunicorn_upstream/invocations"
 MULTI_MODEL = "s" if os.environ.get("SAGEMAKER_MULTI_MODEL", "False").lower() == "true" else ""
@@ -167,7 +167,7 @@ def _create_tfs_config(self):
 
         log.info("tensorflow serving model config: \n%s\n", config)
 
-        with open(self._tfs_config_path, "w") as f:
+        with open(self._tfs_config_path, "w", encoding="utf8") as f:
             f.write(config)
 
     def _setup_gunicorn(self):
@@ -266,7 +266,7 @@ def _create_nginx_config(self):
         config = pattern.sub(lambda x: template_values[x.group(1)], template)
         log.info("nginx config: \n%s\n", config)
 
-        with open("/sagemaker/nginx.conf", "w") as f:
+        with open("/sagemaker/nginx.conf", "w", encoding="utf8") as f:
             f.write(config)
 
     def _read_nginx_template(self):

container/sagemaker-tensorflow-inferentia/build_artifacts/sagemaker/tfs_utils.py

@@ -223,7 +223,7 @@ def __init__(self, key, env_var, value, defaulted_message):
         config += "%s { value: %s }\n" % (batching_parameter.key, batching_parameter.value)
 
     log.info('batching config: \n%s\n', config)
-    with open(batching_config_file, 'w') as f:
+    with open(batching_config_file, 'w', encoding="utf8") as f:
         f.write(config)