# 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. """This module contains functions for obtaining JumpStart incremental training status.""" from __future__ import absolute_import from typing import Optional from sagemaker.jumpstart.constants import ( JUMPSTART_DEFAULT_REGION_NAME, ) from sagemaker.jumpstart.enums import ( JumpStartScriptScope, ) from sagemaker.jumpstart.utils import ( verify_model_region_and_return_specs, ) def _model_supports_incremental_training( model_id: str, model_version: str, region: Optional[str], tolerate_vulnerable_model: bool = False, tolerate_deprecated_model: bool = False, ) -> bool: """Returns True if the model supports incremental training. Args: model_id (str): JumpStart model ID of the JumpStart model for which to retrieve the support status for incremental training. model_version (str): Version of the JumpStart model for which to retrieve the support status for incremental training. region (Optional[str]): Region for which to retrieve the support status for incremental training. tolerate_vulnerable_model (bool): True if vulnerable versions of model specifications should be tolerated (exception not raised). If False, raises an exception if the script used by this version of the model has dependencies with known security vulnerabilities. (Default: False). tolerate_deprecated_model (bool): True if deprecated versions of model specifications should be tolerated (exception not raised). If False, raises an exception if the version of the model is deprecated. (Default: False). Returns: bool: the support status for incremental training. """ if region is None: region = JUMPSTART_DEFAULT_REGION_NAME model_specs = verify_model_region_and_return_specs( model_id=model_id, version=model_version, scope=JumpStartScriptScope.TRAINING, region=region, tolerate_vulnerable_model=tolerate_vulnerable_model, tolerate_deprecated_model=tolerate_deprecated_model, ) return model_specs.supports_incremental_training()