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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,
*,
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,
*,
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,
*,
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,
*,
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,
*,
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,
*,
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,
*,
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,
*,
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,
*,
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,
*,
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.