Class ListTensorboardRunsAsyncPager (1.54.0)

ListTensorboardRunsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardRunsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardRunsRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardRunsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_tensorboard_runs requests.

This class thinly wraps an initial ListTensorboardRunsResponse object, and provides an __aiter__ method to iterate through its tensorboard_runs field.

If there are more pages, the __aiter__ method will make additional ListTensorboardRuns requests and continue to iterate through the tensorboard_runs field on the corresponding responses.

All the usual ListTensorboardRunsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Methods

ListTensorboardRunsAsyncPager

ListTensorboardRunsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardRunsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardRunsRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardRunsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

Instantiates the pager.

Parameters
Name Description
method Callable

The method that was originally called, and which instantiated this pager.

request google.cloud.aiplatform_v1beta1.types.ListTensorboardRunsRequest

The initial request object.

response google.cloud.aiplatform_v1beta1.types.ListTensorboardRunsResponse

The initial response object.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.