fix: disable failing integration tests (#4841)

* Disable failing integration tests

* run formatter

* fix error

* remove .keras

tests/data/tensorflow_mnist/mnist_v2.py

@@ -198,7 +198,7 @@ def main(args):
 
         if args.current_host == args.hosts[0]:
             ckpt_manager.save()
-            net.save("/opt/ml/model/1.keras")
+            net.save("/opt/ml/model/1")
 
 
 if __name__ == "__main__":

tests/integ/test_tf.py

@@ -85,6 +85,11 @@ def test_mnist_with_checkpoint_config(
     tensorflow_training_latest_version,
     tensorflow_training_latest_py_version,
 ):
+    if Version(tensorflow_training_latest_version) >= Version("2.16"):
+        pytest.skip(
+            "This test is failing in TensorFlow 2.16 beacuse of an upstream bug: "
+            "https://github.com/tensorflow/io/issues/2039"
+        )
     checkpoint_s3_uri = "s3://{}/checkpoints/tf-{}".format(
         sagemaker_session.default_bucket(), sagemaker_timestamp()
     )
@@ -235,6 +240,11 @@ def test_mnist_distributed_cpu(
     tensorflow_training_latest_version,
     tensorflow_training_latest_py_version,
 ):
+    if Version(tensorflow_training_latest_version) >= Version("2.16"):
+        pytest.skip(
+            "This test is failing in TensorFlow 2.16 beacuse of an upstream bug: "
+            "https://github.com/tensorflow/io/issues/2039"
+        )
     _create_and_fit_estimator(
         sagemaker_session,
         tensorflow_training_latest_version,

tests/integ/test_tuner.py

@@ -19,6 +19,7 @@
 import numpy as np
 import pytest
 from botocore.exceptions import ClientError
+from packaging.version import Version
 
 import tests.integ
 from sagemaker import KMeans, LDA, RandomCutForest, image_uris
@@ -691,6 +692,11 @@ def test_tuning_tf(
     tensorflow_training_latest_version,
     tensorflow_training_latest_py_version,
 ):
+    if Version(tensorflow_training_latest_version) >= Version("2.16"):
+        pytest.skip(
+            "This test is failing in TensorFlow 2.16 beacuse of an upstream bug: "
+            "https://github.com/tensorflow/io/issues/2039"
+        )
     resource_path = os.path.join(DATA_DIR, "tensorflow_mnist")
     script_path = "mnist.py"
 
@@ -735,6 +741,11 @@ def test_tuning_tf_vpc_multi(
     tensorflow_training_latest_py_version,
 ):
     """Test Tensorflow multi-instance using the same VpcConfig for training and inference"""
+    if Version(tensorflow_training_latest_version) >= Version("2.16"):
+        pytest.skip(
+            "This test is failing in TensorFlow 2.16 beacuse of an upstream bug: "
+            "https://github.com/tensorflow/io/issues/2039"
+        )
     instance_type = cpu_instance_type
     instance_count = 2