Source code for sagemaker.core.script_uris

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# Licensed under the Apache License, Version 2.0 (the "License"). You
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"""Accessors to retrieve the script Amazon S3 URI to run pretrained machine learning models."""

from __future__ import absolute_import

import logging
from typing import Optional

from sagemaker.core.jumpstart import utils as jumpstart_utils
from sagemaker.core.jumpstart import artifacts
from sagemaker.core.jumpstart.constants import DEFAULT_JUMPSTART_SAGEMAKER_SESSION
from sagemaker.core.jumpstart.enums import JumpStartModelType
from sagemaker.core.helper.session_helper import Session

logger = logging.getLogger(__name__)


[docs] def retrieve( region: Optional[str] = None, model_id: Optional[str] = None, model_version: Optional[str] = None, hub_arn: Optional[str] = None, script_scope: Optional[str] = None, tolerate_vulnerable_model: bool = False, tolerate_deprecated_model: bool = False, sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION, config_name: Optional[str] = None, model_type: JumpStartModelType = JumpStartModelType.OPEN_WEIGHTS, ) -> str: """Retrieves the script S3 URI associated with the model matching the given arguments. Args: region (str): The AWS Region for which to retrieve the model script S3 URI. model_id (str): The model ID of the JumpStart model for which to retrieve the script S3 URI. model_version (str): The version of the JumpStart model for which to retrieve the model script S3 URI. hub_arn (str): The arn of the SageMaker Hub for which to retrieve model details from. (Default: None). script_scope (str): The script type. Valid values: "training" and "inference". tolerate_vulnerable_model (bool): ``True`` if vulnerable versions of model specifications should be tolerated without raising an exception. 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 models should be tolerated without raising an exception. ``False`` if these models should raise an exception. (Default: False). sagemaker_session (sagemaker.session.Session): A SageMaker Session object, used for SageMaker interactions. If not specified, one is created using the default AWS configuration chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION). config_name (Optional[str]): Name of the JumpStart Model config to apply. (Default: None). model_type (JumpStartModelType): The type of the model, can be open weights model or proprietary model. (Default: JumpStartModelType.OPEN_WEIGHTS). Returns: str: The model script URI for the corresponding model. Raises: NotImplementedError: If the scope is not supported. ValueError: If the combination of arguments specified is not supported. VulnerableJumpStartModelError: If any of the dependencies required by the script have known security vulnerabilities. DeprecatedJumpStartModelError: If the version of the model is deprecated. """ if not jumpstart_utils.is_jumpstart_model_input(model_id, model_version): raise ValueError( "Must specify JumpStart `model_id` and `model_version` when retrieving script URIs." ) return artifacts._retrieve_script_uri( model_id=model_id, model_version=model_version, hub_arn=hub_arn, script_scope=script_scope, region=region, tolerate_vulnerable_model=tolerate_vulnerable_model, tolerate_deprecated_model=tolerate_deprecated_model, sagemaker_session=sagemaker_session, config_name=config_name, model_type=model_type, )