list method
Lists TensorboardRuns in a Location.
Request parameters:
parent - Required. The resource name of the TensorboardExperiment to
list TensorboardRuns. Format:
projects/{project}/locations/{location}/tensorboards/{tensorboard}/experiments/{experiment}
Value must have pattern
^projects/\[^/\]+/locations/\[^/\]+/tensorboards/\[^/\]+/experiments/\[^/\]+$.
filter - Lists the TensorboardRuns that match the filter expression.
orderBy - Field to use to sort the list.
pageSize - The maximum number of TensorboardRuns to return. The service
may return fewer than this value. If unspecified, at most 50
TensorboardRuns are returned. The maximum value is 1000; values above 1000
are coerced to 1000.
pageToken - A page token, received from a previous
TensorboardService.ListTensorboardRuns call. Provide this to retrieve the
subsequent page. When paginating, all other parameters provided to
TensorboardService.ListTensorboardRuns must match the call that provided
the page token.
readMask - Mask specifying which fields to read.
$fields - Selector specifying which fields to include in a partial
response.
Completes with a GoogleCloudAiplatformV1ListTensorboardRunsResponse.
Completes with a commons.ApiRequestError if the API endpoint returned an error.
If the used http.Client completes with an error when making a REST call,
this method will complete with the same error.
Implementation
async.Future<GoogleCloudAiplatformV1ListTensorboardRunsResponse> list(
core.String parent, {
core.String? filter,
core.String? orderBy,
core.int? pageSize,
core.String? pageToken,
core.String? readMask,
core.String? $fields,
}) async {
final queryParams_ = <core.String, core.List<core.String>>{
'filter': ?filter == null ? null : [filter],
'orderBy': ?orderBy == null ? null : [orderBy],
'pageSize': ?pageSize == null ? null : ['${pageSize}'],
'pageToken': ?pageToken == null ? null : [pageToken],
'readMask': ?readMask == null ? null : [readMask],
'fields': ?$fields == null ? null : [$fields],
};
final url_ = 'v1/' + core.Uri.encodeFull('$parent') + '/runs';
final response_ = await _requester.request(
url_,
'GET',
queryParams: queryParams_,
);
return GoogleCloudAiplatformV1ListTensorboardRunsResponse.fromJson(
response_ as core.Map<core.String, core.dynamic>,
);
}