iter_list_training_jobs `async` ¶

iter_list_training_jobs(
    *,
    config_overrides: Optional[AsyncSageMakerClientConfig] = None,
    next_token: Optional[NextToken] = None,
    max_results: Optional[MaxResults] = None,
    creation_time_after: Optional[Timestamp] = None,
    creation_time_before: Optional[Timestamp] = None,
    last_modified_time_after: Optional[Timestamp] = None,
    last_modified_time_before: Optional[Timestamp] = None,
    name_contains: Optional[NameContains] = None,
    status_equals: Optional[TrainingJobStatus] = None,
    sort_by: Optional[SortBy] = None,
    sort_order: Optional[SortOrder] = None,
    warm_pool_status_equals: Optional[WarmPoolResourceStatus] = None,
    training_plan_arn_equals: Optional[TrainingPlanArn] = None,
) -> AsyncIterator[TrainingJobSummary]

Source code in docs_src/capo_sagemaker/_services/async_sage_maker.py

async def iter_list_training_jobs(
    self,
    *,
    config_overrides: Optional[AsyncSageMakerClientConfig] = None,
    next_token: Optional["capo_sagemaker.types.next_token.NextToken"] = None,
    max_results: Optional["capo_sagemaker.types.max_results.MaxResults"] = None,
    creation_time_after: Optional[
        "capo_sagemaker.types.timestamp.Timestamp"
    ] = None,
    creation_time_before: Optional[
        "capo_sagemaker.types.timestamp.Timestamp"
    ] = None,
    last_modified_time_after: Optional[
        "capo_sagemaker.types.timestamp.Timestamp"
    ] = None,
    last_modified_time_before: Optional[
        "capo_sagemaker.types.timestamp.Timestamp"
    ] = None,
    name_contains: Optional[
        "capo_sagemaker.types.name_contains.NameContains"
    ] = None,
    status_equals: Optional[
        "capo_sagemaker.types.training_job_status.TrainingJobStatus"
    ] = None,
    sort_by: Optional["capo_sagemaker.types.sort_by.SortBy"] = None,
    sort_order: Optional["capo_sagemaker.types.sort_order.SortOrder"] = None,
    warm_pool_status_equals: Optional[
        "capo_sagemaker.types.warm_pool_resource_status.WarmPoolResourceStatus"
    ] = None,
    training_plan_arn_equals: Optional[
        "capo_sagemaker.types.training_plan_arn.TrainingPlanArn"
    ] = None,
) -> "AsyncIterator[capo_sagemaker.types.training_job_summary.TrainingJobSummary]":
    _token = next_token
    while True:
        _response = await self.list_training_jobs(
            config_overrides=config_overrides,
            next_token=_token,
            max_results=max_results,
            creation_time_after=creation_time_after,
            creation_time_before=creation_time_before,
            last_modified_time_after=last_modified_time_after,
            last_modified_time_before=last_modified_time_before,
            name_contains=name_contains,
            status_equals=status_equals,
            sort_by=sort_by,
            sort_order=sort_order,
            warm_pool_status_equals=warm_pool_status_equals,
            training_plan_arn_equals=training_plan_arn_equals,
        )
        _page = _resolve_path(_response, ("training_job_summaries",))
        for _item in _page or []:
            yield _item
        _token = _resolve_path(_response, ("next_token",))
        if not _token:
            break

iter_list_training_jobs async ¶

iter_list_training_jobs `async` ¶