Deletes a version of a SageMaker AI image. The container image the version represents isn't deleted.
Parameters:
Raises:
Source code in docs_src/capo_sagemaker/_services/sage_maker.py
| def delete_image_version(
self,
*,
config_overrides: Optional[SageMakerClientConfig] = None,
image_name: Optional["capo_sagemaker.types.image_name.ImageName"] = None,
version: Optional[
"capo_sagemaker.types.image_version_number.ImageVersionNumber"
] = None,
alias: Optional[
"capo_sagemaker.types.sage_maker_image_version_alias.SageMakerImageVersionAlias"
] = None,
) -> (
"capo_sagemaker.types.delete_image_version_response.DeleteImageVersionResponse"
):
"""<p>Deletes a version of a SageMaker AI image. The container image the version represents isn't deleted.</p>
Args:
image_name: <p>The name of the image to delete.</p>
version: <p>The version to delete.</p>
alias: <p>The alias of the image to delete.</p>
Raises:
capo_sagemaker.errors.resource_in_use.ResourceInUse: <p>Resource being accessed is in use.</p>
capo_sagemaker.errors.resource_not_found.ResourceNotFound: <p>Resource being access is not found.</p>
capo_sagemaker.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_sagemaker.types.delete_image_version_request.DeleteImageVersionRequest]",
) -> OperationResponse[
"capo_sagemaker.types.delete_image_version_response.DeleteImageVersionResponse"
]:
import capo_sagemaker._operations.sage_maker.delete_image_version
output, http_response = (
capo_sagemaker._operations.sage_maker.delete_image_version.delete_image_version(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DeleteImageVersion")
)
input_: capo_sagemaker.types.delete_image_version_request.DeleteImageVersionRequest = {}
if image_name is not None:
input_["image_name"] = image_name
if version is not None:
input_["version"] = version
if alias is not None:
input_["alias"] = alias
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|