test(sdk): delete tune testing code in run-e2e-experiment.

Signed-off-by: Electronic-Waste <[email protected]>

test/e2e/v1beta1/scripts/gh-actions/run-e2e-experiment.py

@@ -4,7 +4,6 @@
 from kubeflow.katib import ApiClient
 from kubeflow.katib import KatibClient
 from kubeflow.katib import models
-from kubeflow.katib import search
 from kubeflow.katib.constants import constants
 from kubeflow.katib.utils.utils import FakeResponse
 from kubernetes import client
@@ -74,50 +73,6 @@ def run_e2e_experiment(
     logging.debug(katib_client.get_suggestion(exp_name, exp_namespace))
 
 
-def run_e2e_experiment_create_by_tune(
-    katib_client: KatibClient,
-    exp_name: str,
-    exp_namespace: str,
-):
-    # Create Katib Experiment and wait until it is finished.
-    logging.debug("Creating Experiment: {}/{}".format(exp_namespace, exp_name))
-
-    # Use the test case from get-started tutorial.
-    # https://www.kubeflow.org/docs/components/katib/getting-started/#getting-started-with-katib-python-sdk
-    # [1] Create an objective function.
-    def objective(parameters):
-        result = 4 * int(parameters["a"]) - float(parameters["b"]) ** 2
-        print(f"result={result}")
-
-    # [2] Create hyperparameter search space.
-    parameters = {
-        "a": search.int(min=10, max=20),
-        "b": search.double(min=0.1, max=0.2)
-    }
-
-    # [3] Create Katib Experiment with 4 Trials and 2 CPUs per Trial.
-    # And Wait until Experiment reaches Succeeded condition.
-    katib_client.tune(
-        name=exp_name,
-        namespace=exp_namespace,
-        objective=objective,
-        parameters=parameters,
-        objective_metric_name="result",
-        max_trial_count=4,
-        resources_per_trial={"cpu": "2"},
-    )
-    experiment = katib_client.wait_for_experiment_condition(
-        exp_name, exp_namespace, timeout=EXPERIMENT_TIMEOUT
-    )
-
-    # Verify the Experiment results.
-    verify_experiment_results(katib_client, experiment, exp_name, exp_namespace)
-
-    # Print the Experiment and Suggestion.
-    logging.debug(katib_client.get_experiment(exp_name, exp_namespace))
-    logging.debug(katib_client.get_suggestion(exp_name, exp_namespace))
-
-
 if __name__ == "__main__":
     parser = argparse.ArgumentParser()
     parser.add_argument(
@@ -194,7 +149,6 @@ def objective(parameters):
         namespace_labels['katib.kubeflow.org/metrics-collector-injection'] = 'enabled'
         client.CoreV1Api().patch_namespace(args.namespace, {'metadata': {'labels': namespace_labels}})
 
-    # Test with run_e2e_experiment
     try:
         run_e2e_experiment(katib_client, experiment, exp_name, exp_namespace)
         logging.info("---------------------------------------------------------------")
@@ -208,19 +162,3 @@ def objective(parameters):
         logging.info("---------------------------------------------------------------")
         logging.info("---------------------------------------------------------------")
         katib_client.delete_experiment(exp_name, exp_namespace)
-
-    # Test with run_e2e_experiment_create_by_tune
-    tune_exp_name = exp_name + "-by-tune"
-    try:
-        run_e2e_experiment_create_by_tune(katib_client, tune_exp_name, exp_namespace)
-        logging.info("---------------------------------------------------------------")
-        logging.info(f"E2E is succeeded for Experiment created by tune: {exp_namespace}/{tune_exp_name}")
-    except Exception as e:
-        logging.info("---------------------------------------------------------------")
-        logging.info(f"E2E is failed for Experiment created by tune: {exp_namespace}/{tune_exp_name}")
-        raise e
-    finally:
-        # Delete the Experiment.
-        logging.info("---------------------------------------------------------------")
-        logging.info("---------------------------------------------------------------")
-        katib_client.delete_experiment(tune_exp_name, exp_namespace)