# 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 image_uris from sagemaker.jumpstart.utils import verify_model_region_and_return_specs from tests.unit.sagemaker.jumpstart.utils import get_spec_from_base_spec from sagemaker.jumpstart import constants as sagemaker_constants @patch("sagemaker.jumpstart.artifacts.image_uris.verify_model_region_and_return_specs") @patch("sagemaker.jumpstart.accessors.JumpStartModelsAccessor.get_model_specs") def test_jumpstart_common_image_uri( patched_get_model_specs, patched_verify_model_region_and_return_specs ): patched_verify_model_region_and_return_specs.side_effect = verify_model_region_and_return_specs patched_get_model_specs.side_effect = get_spec_from_base_spec image_uris.retrieve( framework=None, region="us-west-2", image_scope="training", model_id="pytorch-ic-mobilenet-v2", model_version="*", instance_type="ml.p2.xlarge", ) patched_get_model_specs.assert_called_once_with( region="us-west-2", model_id="pytorch-ic-mobilenet-v2", version="*" ) patched_verify_model_region_and_return_specs.assert_called_once() patched_get_model_specs.reset_mock() patched_verify_model_region_and_return_specs.reset_mock() image_uris.retrieve( framework=None, region="us-west-2", image_scope="inference", model_id="pytorch-ic-mobilenet-v2", model_version="1.*", instance_type="ml.p2.xlarge", ) patched_get_model_specs.assert_called_once_with( region="us-west-2", model_id="pytorch-ic-mobilenet-v2", version="1.*" ) patched_verify_model_region_and_return_specs.assert_called_once() patched_get_model_specs.reset_mock() patched_verify_model_region_and_return_specs.reset_mock() image_uris.retrieve( framework=None, region=None, image_scope="training", model_id="pytorch-ic-mobilenet-v2", model_version="*", instance_type="ml.p2.xlarge", ) patched_get_model_specs.assert_called_once_with( region=sagemaker_constants.JUMPSTART_DEFAULT_REGION_NAME, model_id="pytorch-ic-mobilenet-v2", version="*", ) patched_verify_model_region_and_return_specs.assert_called_once() patched_get_model_specs.reset_mock() patched_verify_model_region_and_return_specs.reset_mock() image_uris.retrieve( framework=None, region=None, image_scope="inference", model_id="pytorch-ic-mobilenet-v2", model_version="1.*", instance_type="ml.p2.xlarge", ) patched_get_model_specs.assert_called_once_with( region=sagemaker_constants.JUMPSTART_DEFAULT_REGION_NAME, model_id="pytorch-ic-mobilenet-v2", version="1.*", ) patched_verify_model_region_and_return_specs.assert_called_once() with pytest.raises(NotImplementedError): image_uris.retrieve( framework=None, region="us-west-2", image_scope="BAD_SCOPE", model_id="pytorch-ic-mobilenet-v2", model_version="*", instance_type="ml.p2.xlarge", ) with pytest.raises(KeyError): image_uris.retrieve( framework=None, region="us-west-2", image_scope="training", model_id="blah", model_version="*", instance_type="ml.p2.xlarge", ) with pytest.raises(ValueError): image_uris.retrieve( framework=None, region="mars-south-1", image_scope="training", model_id="pytorch-ic-mobilenet-v2", model_version="*", instance_type="ml.p2.xlarge", ) with pytest.raises(ValueError): image_uris.retrieve( framework=None, region="us-west-2", model_id="pytorch-ic-mobilenet-v2", model_version="*", instance_type="ml.p2.xlarge", ) with pytest.raises(ValueError): image_uris.retrieve( framework=None, region="us-west-2", image_scope="training", model_version="*", instance_type="ml.p2.xlarge", ) with pytest.raises(ValueError): image_uris.retrieve( region="us-west-2", framework=None, image_scope="training", model_id="pytorch-ic-mobilenet-v2", instance_type="ml.p2.xlarge", )