update tensorflow artifacts

Author: Roja Reddy Sareddy

tests/data/serve_resources/mlflow/tensorflow/MLmodel

@@ -20,7 +20,7 @@
 SERVE_IN_PROCESS_TIMEOUT = 5
 SERVE_MODEL_PACKAGE_TIMEOUT = 10
 SERVE_LOCAL_CONTAINER_TIMEOUT = 10
-SERVE_SAGEMAKER_ENDPOINT_TIMEOUT = 15
+SERVE_SAGEMAKER_ENDPOINT_TIMEOUT = 50
 SERVE_SAVE_TIMEOUT = 2
 
 PYTHON_VERSION_IS_NOT_38 = platform.python_version_tuple()[1] != "8"

tests/data/serve_resources/mlflow/tensorflow/conda.yaml

@@ -107,10 +107,7 @@ def tensorflow_schema_builder(custom_request_translator, custom_response_transla
     PYTHON_VERSION_IS_NOT_310,
     reason="The goal of these test are to test the serving components of our feature",
 )
-@pytest.mark.skipif(
-    np.__version__ >= "2.0",
-    reason="TensorFlow serving container not yet compatible with numpy 2.0 serialization",
-)
+
 def test_happy_tensorflow_sagemaker_endpoint_with_tensorflow_serving(
     sagemaker_session,
     tensorflow_schema_builder,