change: waiting for training tags to propagate in the test

Author: mvsusp

tests/integ/test_tf_script_mode.py

@@ -146,14 +146,14 @@ def test_mnist_async(sagemaker_session):
     training_job_name = estimator.latest_training_job.name
     time.sleep(20)
     endpoint_name = training_job_name
-    model_name = "model-name-1"
     _assert_training_job_tags_match(
         sagemaker_session.sagemaker_client, estimator.latest_training_job.name, TAGS
     )
     with tests.integ.timeout.timeout_and_delete_endpoint_by_name(endpoint_name, sagemaker_session):
         estimator = TensorFlow.attach(
             training_job_name=training_job_name, sagemaker_session=sagemaker_session
         )
+        model_name = "model-mnist-async"
         predictor = estimator.deploy(
             initial_instance_count=1,
             instance_type="ml.c4.xlarge",
@@ -215,14 +215,14 @@ def _assert_s3_files_exist(s3_url, files):
             raise ValueError("File {} is not found under {}".format(f, s3_url))
 
 
-def _assert_tags_match(sagemaker_client, resource_arn, tags, retries=1):
+def _assert_tags_match(sagemaker_client, resource_arn, tags, retries=15):
     actual_tags = None
     for _ in range(retries):
         actual_tags = sagemaker_client.list_tags(ResourceArn=resource_arn)["Tags"]
         if actual_tags:
             break
         else:
-            # endpoint tags might take minutes to propagate. Sleeping.
+            # endpoint and training tags might take minutes to propagate. Sleeping.
             time.sleep(30)
     assert actual_tags == tags
 
@@ -235,7 +235,7 @@ def _assert_model_tags_match(sagemaker_client, model_name, tags):
 def _assert_endpoint_tags_match(sagemaker_client, endpoint_name, tags):
     endpoint_description = sagemaker_client.describe_endpoint(EndpointName=endpoint_name)
 
-    _assert_tags_match(sagemaker_client, endpoint_description["EndpointArn"], tags, retries=10)
+    _assert_tags_match(sagemaker_client, endpoint_description["EndpointArn"], tags)
 
 
 def _assert_training_job_tags_match(sagemaker_client, training_job_name, tags):