Module pagers (1.63.0)

Version 1.63.0

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API documentation for aiplatform_v1beta1.services.tensorboard_service.pagers module.

Classes

ExportTensorboardTimeSeriesDataAsyncPager

ExportTensorboardTimeSeriesDataAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ExportTensorboardTimeSeriesDataRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through export_tensorboard_time_series_data requests.

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

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

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

ExportTensorboardTimeSeriesDataPager

ExportTensorboardTimeSeriesDataPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ExportTensorboardTimeSeriesDataRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ExportTensorboardTimeSeriesDataResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through export_tensorboard_time_series_data requests.

This class thinly wraps an initial ExportTensorboardTimeSeriesDataResponse object, and provides an __iter__ method to iterate through its time_series_data_points field.

If there are more pages, the __iter__ method will make additional ExportTensorboardTimeSeriesData requests and continue to iterate through the time_series_data_points field on the corresponding responses.

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

ListTensorboardExperimentsAsyncPager

ListTensorboardExperimentsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardExperimentsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardExperimentsRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardExperimentsResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_tensorboard_experiments requests.

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

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

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

ListTensorboardExperimentsPager

ListTensorboardExperimentsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardExperimentsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardExperimentsRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardExperimentsResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_tensorboard_experiments requests.

This class thinly wraps an initial ListTensorboardExperimentsResponse object, and provides an __iter__ method to iterate through its tensorboard_experiments field.

If there are more pages, the __iter__ method will make additional ListTensorboardExperiments requests and continue to iterate through the tensorboard_experiments field on the corresponding responses.

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

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,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    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.

ListTensorboardRunsPager

ListTensorboardRunsPager(
    method: typing.Callable[
        [...],
        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,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    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 __iter__ method to iterate through its tensorboard_runs field.

If there are more pages, the __iter__ 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.

ListTensorboardTimeSeriesAsyncPager

ListTensorboardTimeSeriesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardTimeSeriesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardTimeSeriesRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardTimeSeriesResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_tensorboard_time_series requests.

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

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

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

ListTensorboardTimeSeriesPager

ListTensorboardTimeSeriesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardTimeSeriesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardTimeSeriesRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardTimeSeriesResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_tensorboard_time_series requests.

This class thinly wraps an initial ListTensorboardTimeSeriesResponse object, and provides an __iter__ method to iterate through its tensorboard_time_series field.

If there are more pages, the __iter__ method will make additional ListTensorboardTimeSeries requests and continue to iterate through the tensorboard_time_series field on the corresponding responses.

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

ListTensorboardsAsyncPager

ListTensorboardsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardsRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardsResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_tensorboards requests.

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

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

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

ListTensorboardsPager

ListTensorboardsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardsRequest,
    response: google.cloud.aiplatform_v1beta1.types.tensorboard_service.ListTensorboardsResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_tensorboards requests.

This class thinly wraps an initial ListTensorboardsResponse object, and provides an __iter__ method to iterate through its tensorboards field.

If there are more pages, the __iter__ method will make additional ListTensorboards requests and continue to iterate through the tensorboards field on the corresponding responses.

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