infra: rename canary_quick pytest mark to release

tests/integ/test_artifact_analytics.py

@@ -44,7 +44,7 @@ def generate_artifacts(sagemaker_session):
         _delete_resources(artifacts)
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 @pytest.mark.skip("Failing as restricted to the SageMaker/Pipeline runtimes")
 def test_artifact_analytics(sagemaker_session):
     with generate_artifacts(sagemaker_session):

tests/integ/test_auto_ml.py

@@ -52,7 +52,7 @@
     tests.integ.test_region() in tests.integ.NO_AUTO_ML_REGIONS,
     reason="AutoML is not supported in the region yet.",
 )
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_auto_ml_fit(sagemaker_session):
     auto_ml = AutoML(
         role=ROLE,
@@ -260,7 +260,7 @@ def test_best_candidate(sagemaker_session):
     tests.integ.test_region() in tests.integ.NO_AUTO_ML_REGIONS,
     reason="AutoML is not supported in the region yet.",
 )
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_deploy_best_candidate(sagemaker_session, cpu_instance_type):
     auto_ml_utils.create_auto_ml_job_if_not_exist(sagemaker_session)
 

tests/integ/test_byo_estimator.py

@@ -46,7 +46,7 @@ def serialize(self, data):
         return json.dumps(js)
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_byo_estimator(sagemaker_session, region, cpu_instance_type, training_set):
     """Use Factorization Machines algorithm as an example here.
 

tests/integ/test_experiments_analytics.py

@@ -108,7 +108,7 @@ def experiment_with_artifacts(sagemaker_session):
         _delete_resources(sm, experiment_name, trials)
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_experiment_analytics_artifacts(sagemaker_session):
     with experiment_with_artifacts(sagemaker_session) as experiment_name:
         analytics = ExperimentAnalytics(

tests/integ/test_horovod.py

@@ -28,7 +28,7 @@
 horovod_dir = os.path.join(os.path.dirname(__file__), "..", "data", "horovod")
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_hvd_cpu(
     sagemaker_session,
     tensorflow_training_latest_version,
@@ -45,7 +45,7 @@ def test_hvd_cpu(
     )
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 @pytest.mark.skipif(
     integ.test_region() in integ.TRAINING_NO_P2_REGIONS, reason="no ml.p2 instances in this region"
 )

tests/integ/test_horovod_mx.py

@@ -28,7 +28,7 @@
 horovod_dir = os.path.join(os.path.dirname(__file__), "..", "data", "horovod")
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_hvd_cpu(
     mxnet_training_latest_version,
     mxnet_training_latest_py_version,
@@ -45,7 +45,7 @@ def test_hvd_cpu(
     )
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 @pytest.mark.skipif(
     integ.test_region() in integ.TRAINING_NO_P2_REGIONS, reason="no ml.p2 instances in this region"
 )

tests/integ/test_inference_pipeline.py

@@ -90,7 +90,7 @@ def test_inference_pipeline_batch_transform(sagemaker_session, cpu_instance_type
         transformer.wait()
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 @pytest.mark.skip(
     reason="This test has always failed, but the failure was masked by a bug. "
     "This test should be fixed. Details in https://github.com/aws/sagemaker-python-sdk/pull/968"

tests/integ/test_linear_learner.py

@@ -28,7 +28,7 @@ def training_set():
     return datasets.one_p_mnist()
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_linear_learner(sagemaker_session, cpu_instance_type, training_set):
     job_name = unique_name_from_base("linear-learner")
 

tests/integ/test_marketplace.py

@@ -51,7 +51,7 @@
 )
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 @pytest.mark.skipif(
     tests.integ.test_region() in tests.integ.NO_MARKET_PLACE_REGIONS,
     reason="Marketplace is not available in {}".format(tests.integ.test_region()),
@@ -150,7 +150,7 @@ def test_marketplace_attach(sagemaker_session, cpu_instance_type):
         print(predictor.predict(test_x.values).decode("utf-8"))
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 @pytest.mark.skipif(
     tests.integ.test_region() in tests.integ.NO_MARKET_PLACE_REGIONS,
     reason="Marketplace is not available in {}".format(tests.integ.test_region()),

tests/integ/test_model_monitor.py

@@ -271,7 +271,7 @@ def updated_output_kms_key(sagemaker_session):
     tests.integ.test_region() in tests.integ.NO_MODEL_MONITORING_REGIONS,
     reason="ModelMonitoring is not yet supported in this region.",
 )
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_default_monitor_suggest_baseline_and_create_monitoring_schedule_with_customizations(
     sagemaker_session, output_kms_key, volume_kms_key, predictor
 ):

tests/integ/test_mxnet.py

@@ -65,7 +65,7 @@ def mxnet_training_job(
         return mx.latest_training_job.name
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_attach_deploy(mxnet_training_job, sagemaker_session, cpu_instance_type):
     endpoint_name = "test-mxnet-attach-deploy-{}".format(sagemaker_timestamp())
 

tests/integ/test_neo_mxnet.py

@@ -57,7 +57,7 @@ def mxnet_training_job(
         return mx.latest_training_job.name
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 @pytest.mark.skip(
     reason="This test is failing because the image uri and the training script format has changed."
 )

tests/integ/test_ntm.py

@@ -25,7 +25,7 @@
 from tests.integ.record_set import prepare_record_set_from_local_files
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 @pytest.mark.skip(
     reason="This test has always failed, but the failure was masked by a bug. "
     "This test should be fixed. Details in https://github.com/aws/sagemaker-python-sdk/pull/968"

tests/integ/test_processing.py

@@ -153,7 +153,7 @@ def test_sklearn(sagemaker_session, sklearn_latest_version, cpu_instance_type):
     assert ROLE in job_description["RoleArn"]
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_sklearn_with_customizations(
     sagemaker_session, image_uri, sklearn_latest_version, cpu_instance_type, output_kms_key
 ):
@@ -369,7 +369,7 @@ def test_sklearn_with_no_inputs_or_outputs(
     assert job_description["StoppingCondition"] == {"MaxRuntimeInSeconds": 3600}
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_script_processor(sagemaker_session, image_uri, cpu_instance_type, output_kms_key):
     input_file_path = os.path.join(DATA_DIR, "dummy_input.txt")
 
@@ -528,7 +528,7 @@ def test_script_processor_with_no_inputs_or_outputs(
     assert job_description["StoppingCondition"] == {"MaxRuntimeInSeconds": 3600}
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_processor(sagemaker_session, image_uri, cpu_instance_type, output_kms_key):
     script_path = os.path.join(DATA_DIR, "dummy_script.py")
 

tests/integ/test_pytorch.py

@@ -95,7 +95,7 @@ def fixture_training_job_with_latest_inference_version(
         return pytorch.latest_training_job.name
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_fit_deploy(
     pytorch_training_job_with_latest_infernce_version, sagemaker_session, cpu_instance_type
 ):

tests/integ/test_rl.py

@@ -23,7 +23,7 @@
 from tests.integ.timeout import timeout, timeout_and_delete_endpoint_by_name
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_coach_mxnet(sagemaker_session, coach_mxnet_latest_version, cpu_instance_type):
     estimator = _test_coach(
         sagemaker_session, RLFramework.MXNET, coach_mxnet_latest_version, cpu_instance_type
@@ -106,7 +106,7 @@ def _test_coach(sagemaker_session, rl_framework, rl_coach_version, cpu_instance_
     test_region() not in RL_SUPPORTED_REGIONS,
     reason="Updated RL images aren't in {}".format(test_region()),
 )
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_ray_tf(sagemaker_session, ray_tensorflow_latest_version, cpu_instance_type):
     source_dir = os.path.join(DATA_DIR, "ray_cartpole")
     cartpole = "train_ray.py"

tests/integ/test_sklearn.py

@@ -111,7 +111,7 @@ def test_training_with_network_isolation(
         ]
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 @pytest.mark.skip(
     reason="This test has always failed, but the failure was masked by a bug. "
     "This test should be fixed. Details in https://github.com/aws/sagemaker-python-sdk/pull/968"

tests/integ/test_sparkml_serving.py

@@ -25,7 +25,7 @@
 from tests.integ.timeout import timeout_and_delete_endpoint_by_name
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_sparkml_model_deploy(sagemaker_session, cpu_instance_type):
     # Uploads an MLeap serialized MLeap model to S3 and use that to deploy
     # a SparkML model to perform inference

tests/integ/test_tf.py

@@ -125,7 +125,7 @@ def test_server_side_encryption(sagemaker_session, tf_full_version, tf_full_py_v
             )
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_mnist_distributed(
     sagemaker_session,
     instance_type,

tests/integ/test_tfs.py

@@ -138,7 +138,7 @@ def tfs_predictor_with_accelerator(
         yield predictor
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_predict(tfs_predictor):
     input_data = {"instances": [1.0, 2.0, 5.0]}
     expected_result = {"predictions": [3.5, 4.0, 5.5]}
@@ -151,7 +151,7 @@ def test_predict(tfs_predictor):
     tests.integ.test_region() not in tests.integ.EI_SUPPORTED_REGIONS,
     reason="EI is not supported in region {}".format(tests.integ.test_region()),
 )
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_predict_with_accelerator(tfs_predictor_with_accelerator):
     input_data = {"instances": [1.0, 2.0, 5.0]}
     expected_result = {"predictions": [3.5, 4.0, 5.5]}

tests/integ/test_transformer.py

@@ -78,7 +78,7 @@ def mxnet_transform_input(sagemaker_session):
     )
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_transform_mxnet(
     mxnet_estimator, mxnet_transform_input, sagemaker_session, cpu_instance_type
 ):
@@ -108,7 +108,7 @@ def test_transform_mxnet(
     assert input_filter == job_desc["DataProcessing"]["InputFilter"]
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_attach_transform_kmeans(sagemaker_session, cpu_instance_type):
     kmeans = KMeans(
         role="SageMakerRole",

tests/integ/test_tuner.py

@@ -158,7 +158,7 @@ def _tune(
     return tuner
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_tuning_kmeans(
     sagemaker_session, kmeans_train_set, kmeans_estimator, hyperparameter_ranges, cpu_instance_type
 ):
@@ -525,7 +525,7 @@ def test_stop_tuning_job(sagemaker_session, cpu_instance_type):
 
 
 @pytest.mark.slow_test
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_tuning_mxnet(
     sagemaker_session,
     mxnet_training_latest_version,
@@ -578,7 +578,7 @@ def test_tuning_mxnet(
         predictor.predict(data)
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_tuning_tf(
     sagemaker_session,
     cpu_instance_type,
@@ -675,7 +675,7 @@ def test_tuning_tf_vpc_multi(
         tuner.fit(inputs, job_name=tuning_job_name)
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_tuning_chainer(
     sagemaker_session, chainer_latest_version, chainer_latest_py_version, cpu_instance_type
 ):
@@ -742,7 +742,7 @@ def test_tuning_chainer(
         assert len(output) == batch_size
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 @pytest.mark.skip(
     reason="This test has always failed, but the failure was masked by a bug. "
     "This test should be fixed. Details in https://github.com/aws/sagemaker-python-sdk/pull/968"
@@ -817,7 +817,7 @@ def test_attach_tuning_pytorch(
         _assert_model_name_match(sagemaker_session.sagemaker_client, endpoint_name, model_name)
 
 
-@pytest.mark.canary_quick
+@pytest.mark.release
 def test_tuning_byo_estimator(sagemaker_session, cpu_instance_type):
     """Use Factorization Machines algorithm as an example here.