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API documentation for aiplatform_v1beta1.services.tensorboard_service.pagers
module.
Classes
ExportTensorboardTimeSeriesDataAsyncPager
ExportTensorboardTimeSeriesDataAsyncPager
(
method
:
Callable
[
[
...
],
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
:
Sequence
[
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
:
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
:
Sequence
[
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
:
Callable
[
[
...
],
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
:
Sequence
[
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
:
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
:
Sequence
[
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
:
Callable
[
[
...
],
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
:
Sequence
[
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
:
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
:
Sequence
[
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
:
Callable
[
[
...
],
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
:
Sequence
[
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
:
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
:
Sequence
[
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
:
Callable
[
[
...
],
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
:
Sequence
[
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
:
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
:
Sequence
[
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.