# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). You # may not use this file except in compliance with the License. A copy of # the License is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompanying this file. This file is # distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF # ANY KIND, either express or implied. See the License for the specific # language governing permissions and limitations under the License. from __future__ import absolute_import from mock.mock import patch import pytest from sagemaker import metric_definitions from tests.unit.sagemaker.jumpstart.utils import get_spec_from_base_spec @patch("sagemaker.jumpstart.accessors.JumpStartModelsAccessor.get_model_specs") def test_jumpstart_default_metric_definitions(patched_get_model_specs): patched_get_model_specs.side_effect = get_spec_from_base_spec model_id = "pytorch-ic-mobilenet-v2" region = "us-west-2" definitions = metric_definitions.retrieve_default( region=region, model_id=model_id, model_version="*", ) assert definitions == [ {"Regex": "val_accuracy: ([0-9\\.]+)", "Name": "pytorch-ic:val-accuracy"} ] patched_get_model_specs.assert_called_once_with(region=region, model_id=model_id, version="*") patched_get_model_specs.reset_mock() definitions = metric_definitions.retrieve_default( region=region, model_id=model_id, model_version="1.*", ) assert definitions == [ {"Regex": "val_accuracy: ([0-9\\.]+)", "Name": "pytorch-ic:val-accuracy"} ] patched_get_model_specs.assert_called_once_with(region=region, model_id=model_id, version="1.*") patched_get_model_specs.reset_mock() with pytest.raises(KeyError): metric_definitions.retrieve_default( region=region, model_id="blah", model_version="*", ) with pytest.raises(ValueError): metric_definitions.retrieve_default( region="mars-south-1", model_id=model_id, model_version="*", ) with pytest.raises(ValueError): metric_definitions.retrieve_default( model_version="*", ) with pytest.raises(ValueError): metric_definitions.retrieve_default( model_id=model_id, )